2025-12-04T09:18:11.1513177Z Current runner version: '2.330.0'
2025-12-04T09:18:11.1520219Z Runner name: 'i-035d8389914ce5d08'
2025-12-04T09:18:11.1521060Z Runner group name: 'default'
2025-12-04T09:18:11.1522240Z Machine name: 'ip-10-0-2-212'
2025-12-04T09:18:11.1525182Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T09:18:11.1527658Z Contents: read
2025-12-04T09:18:11.1528471Z Metadata: read
2025-12-04T09:18:11.1529038Z ##[endgroup]
2025-12-04T09:18:11.1531542Z Secret source: Actions
2025-12-04T09:18:11.1532387Z Prepare workflow directory
2025-12-04T09:18:11.2085654Z Prepare all required actions
2025-12-04T09:18:11.2130263Z Getting action download info
2025-12-04T09:18:11.5831090Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T09:18:13.7929889Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f)
2025-12-04T09:18:28.3539919Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T09:18:28.7317374Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T09:18:28.9809421Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T09:18:29.1804253Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:18:29.4456964Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T09:18:29.8005385Z Getting action download info
2025-12-04T09:18:29.9687460Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T09:18:30.2891270Z Getting action download info
2025-12-04T09:18:30.4214559Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T09:18:30.6391953Z Getting action download info
2025-12-04T09:18:30.7573070Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T09:18:30.9871987Z Getting action download info
2025-12-04T09:18:31.1482346Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T09:18:31.1486948Z ##[group] Inputs
2025-12-04T09:18:31.1487589Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:18:31.1495980Z   test-matrix: {"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:18:31.1504697Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:18:31.1505733Z   sync-tag: 
2025-12-04T09:18:31.1506709Z   timeout-minutes: 240
2025-12-04T09:18:31.1507008Z   use-gha: 
2025-12-04T09:18:31.1507248Z   dashboard-tag: 
2025-12-04T09:18:31.1507500Z   s3-bucket: gha-artifacts
2025-12-04T09:18:31.1507802Z   aws-role-to-assume: 
2025-12-04T09:18:31.1508447Z   disable-monitor: false
2025-12-04T09:18:31.1508772Z   monitor-log-interval: 5
2025-12-04T09:18:31.1509091Z   monitor-data-collect-interval: 1
2025-12-04T09:18:31.1509441Z ##[endgroup]
2025-12-04T09:18:31.1509995Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:18:31.2085859Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T09:18:31.2197860Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T09:18:31.2207471Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:31.2208165Z ##[endgroup]
2025-12-04T09:18:32.6091273Z Runner Type: linux.4xlarge
2025-12-04T09:18:32.6091785Z Instance Type: c5.4xlarge
2025-12-04T09:18:32.6092081Z AMI Name: unknown
2025-12-04T09:18:32.6127599Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T09:18:38.5609859Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T09:18:38.5610569Z with:
2025-12-04T09:18:38.5611307Z   github-secret: ***
2025-12-04T09:18:38.5612610Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T09:18:38.5614057Z   activate-with-label: false
2025-12-04T09:18:38.5614471Z   label: with-ssh
2025-12-04T09:18:38.5614804Z   remove-existing-keys: true
2025-12-04T09:18:38.5615219Z   fail-silently: true
2025-12-04T09:18:38.5615555Z env:
2025-12-04T09:18:38.5615817Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.5616209Z ##[endgroup]
2025-12-04T09:18:38.7107268Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T09:18:38.7109135Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T09:18:38.7432856Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T09:18:38.7433356Z with:
2025-12-04T09:18:38.7433578Z   no-sudo: true
2025-12-04T09:18:38.7433840Z   submodules: recursive
2025-12-04T09:18:38.7434130Z   fetch-depth: 0
2025-12-04T09:18:38.7434366Z env:
2025-12-04T09:18:38.7434601Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.7434892Z ##[endgroup]
2025-12-04T09:18:38.7514491Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:18:38.7515652Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:18:38.7524957Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:38.7525560Z env:
2025-12-04T09:18:38.7525812Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.7526151Z ##[endgroup]
2025-12-04T09:18:38.7613249Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T09:18:38.7638934Z # Use all available CPUs for fetching
2025-12-04T09:18:38.7639350Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:18:38.7639730Z git config --global fetch.parallel 0
2025-12-04T09:18:38.7640147Z git config --global submodule.fetchJobs 0
2025-12-04T09:18:38.7640518Z 
2025-12-04T09:18:38.7640915Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T09:18:38.7641421Z # do it here as well just in case
2025-12-04T09:18:38.7641774Z if [[ -d .git ]]; then
2025-12-04T09:18:38.7642092Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:18:38.7642421Z     sudo git clean -ffdx
2025-12-04T09:18:38.7642724Z   else
2025-12-04T09:18:38.7642979Z     git clean -ffdx
2025-12-04T09:18:38.7643277Z   fi
2025-12-04T09:18:38.7643496Z fi
2025-12-04T09:18:38.7649533Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:38.7649951Z env:
2025-12-04T09:18:38.7650263Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.7650570Z   NO_SUDO: true
2025-12-04T09:18:38.7650817Z ##[endgroup]
2025-12-04T09:18:38.7780076Z ##[group]Run actions/checkout@v4
2025-12-04T09:18:38.7780397Z with:
2025-12-04T09:18:38.7780673Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:18:38.7781042Z   fetch-depth: 0
2025-12-04T09:18:38.7781288Z   submodules: recursive
2025-12-04T09:18:38.7781573Z   show-progress: false
2025-12-04T09:18:38.7781867Z   repository: pytorch/pytorch
2025-12-04T09:18:38.7782312Z   token: ***
2025-12-04T09:18:38.7782538Z   ssh-strict: true
2025-12-04T09:18:38.7782794Z   ssh-user: git
2025-12-04T09:18:38.7783057Z   persist-credentials: true
2025-12-04T09:18:38.7783335Z   clean: true
2025-12-04T09:18:38.7783611Z   sparse-checkout-cone-mode: true
2025-12-04T09:18:38.7783949Z   fetch-tags: false
2025-12-04T09:18:38.7784187Z   lfs: false
2025-12-04T09:18:38.7784442Z   set-safe-directory: true
2025-12-04T09:18:38.7784740Z env:
2025-12-04T09:18:38.7784956Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.7785236Z ##[endgroup]
2025-12-04T09:18:38.8944226Z Syncing repository: pytorch/pytorch
2025-12-04T09:18:38.8945764Z ##[group]Getting Git version info
2025-12-04T09:18:38.8946293Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:18:38.8947015Z [command]/usr/bin/git version
2025-12-04T09:18:38.9122673Z git version 2.50.1
2025-12-04T09:18:38.9148163Z ##[endgroup]
2025-12-04T09:18:38.9158377Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/f84e735a-1be2-417e-9052-2aa8ce216ce3/.gitconfig'
2025-12-04T09:18:38.9177962Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/f84e735a-1be2-417e-9052-2aa8ce216ce3' before making global git config changes
2025-12-04T09:18:38.9179052Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T09:18:38.9183249Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:18:38.9228693Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:18:38.9231970Z ##[group]Initializing the repository
2025-12-04T09:18:38.9236217Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:18:38.9299049Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T09:18:38.9299691Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T09:18:38.9300317Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T09:18:38.9300775Z hint:
2025-12-04T09:18:38.9301090Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T09:18:38.9301471Z hint:
2025-12-04T09:18:38.9301836Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T09:18:38.9302683Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T09:18:38.9303153Z hint:
2025-12-04T09:18:38.9303394Z hint: 	git branch -m <name>
2025-12-04T09:18:38.9303688Z hint:
2025-12-04T09:18:38.9304130Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T09:18:38.9308676Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T09:18:38.9317754Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T09:18:38.9357612Z ##[endgroup]
2025-12-04T09:18:38.9358108Z ##[group]Disabling automatic garbage collection
2025-12-04T09:18:38.9361769Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T09:18:38.9389600Z ##[endgroup]
2025-12-04T09:18:38.9390068Z ##[group]Setting up auth
2025-12-04T09:18:38.9395921Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T09:18:38.9424375Z [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' || :"
2025-12-04T09:18:38.9798347Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T09:18:38.9826562Z [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' || :"
2025-12-04T09:18:39.0160742Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:18:39.0190134Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T09:18:39.0504284Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:18:39.0550083Z ##[endgroup]
2025-12-04T09:18:39.0550538Z ##[group]Fetching the repository
2025-12-04T09:18:39.0558369Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T09:19:31.6537828Z From https://github.com/pytorch/pytorch
2025-12-04T09:19:31.6538388Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T09:19:31.6540550Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T09:19:31.6541312Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T09:19:31.6542009Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T09:19:31.6542686Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T09:19:31.6543324Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T09:19:31.6544474Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T09:19:31.6546840Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T09:19:31.6547913Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T09:19:31.6549812Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T09:19:31.6550839Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T09:19:31.6552038Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T09:19:31.6553449Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T09:19:31.6554697Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T09:19:31.6556115Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T09:19:31.6557637Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T09:19:31.6559412Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T09:19:31.6561236Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T09:19:31.6562441Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T09:19:31.6563875Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T09:19:31.6565057Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T09:19:31.6566342Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T09:19:31.6567800Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T09:19:31.6568963Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T09:19:31.6570170Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T09:19:31.6572004Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T09:19:31.6574365Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T09:19:31.6575330Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T09:19:31.6577032Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T09:19:31.6578019Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T09:19:31.6580331Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T09:19:31.6581189Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T09:19:31.6582387Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T09:19:31.6583774Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
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2025-12-04T09:19:32.3446321Z  * [new branch]              zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom
2025-12-04T09:19:32.3447469Z  * [new branch]              zhxchen17/ci/vllm_pin       -> origin/zhxchen17/ci/vllm_pin
2025-12-04T09:19:32.3449589Z  * [new branch]              zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards
2025-12-04T09:19:32.3450942Z  * [new branch]              zhxchen17/export/call_override -> origin/zhxchen17/export/call_override
2025-12-04T09:19:32.3452092Z  * [new branch]              zhxchen17/export/codemod1   -> origin/zhxchen17/export/codemod1
2025-12-04T09:19:32.3453393Z  * [new branch]              zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return
2025-12-04T09:19:32.3454712Z  * [new branch]              zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn
2025-12-04T09:19:32.3455890Z  * [new branch]              zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check
2025-12-04T09:19:32.3457699Z  * [new branch]              zhxchen17/precompile/aoti   -> origin/zhxchen17/precompile/aoti
2025-12-04T09:19:32.3458798Z  * [new branch]              zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals
2025-12-04T09:19:32.3460101Z  * [new branch]              zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards
2025-12-04T09:19:32.3461758Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-12-04T09:19:32.3462982Z  * [new branch]              zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update
2025-12-04T09:19:32.3464931Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-12-04T09:19:32.3466831Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-12-04T09:19:32.3467953Z  * [new branch]              zxiiro/c7i.2xlarge          -> origin/zxiiro/c7i.2xlarge
2025-12-04T09:19:32.3469402Z  * [new branch]              zxiiro/c7i.2xlarge.h100     -> origin/zxiiro/c7i.2xlarge.h100
2025-12-04T09:19:32.3470503Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-12-04T09:19:32.3471862Z  * [new branch]              zxiiro/risc64               -> origin/zxiiro/risc64
2025-12-04T09:19:32.3473094Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-12-04T09:19:32.3474460Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-12-04T09:19:32.3475387Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-12-04T09:19:32.3476463Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-12-04T09:19:32.3477299Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-12-04T09:19:32.3478127Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T09:19:32.3478946Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T09:19:32.3479904Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T09:19:32.3480725Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T09:19:32.3481654Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T09:19:32.3482606Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T09:19:32.3483488Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T09:19:32.3484352Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T09:19:32.3485342Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T09:19:32.3486881Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T09:19:32.3487969Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T09:19:32.3488968Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T09:19:32.3489874Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T09:19:32.3490710Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T09:19:32.3491801Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T09:19:32.3492701Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T09:19:32.3494067Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T09:19:32.3495024Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T09:19:32.3496214Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T09:19:32.3497175Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T09:19:32.3498034Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T09:19:32.3499021Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T09:19:32.3499974Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T09:19:32.3500784Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T09:19:32.3501723Z  * [new tag]                 ciflow/dynamo/169525        -> ciflow/dynamo/169525
2025-12-04T09:19:32.3502816Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T09:19:32.3503667Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T09:19:32.3504764Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T09:19:32.3505761Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T09:19:32.3506625Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T09:19:32.3507448Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T09:19:32.3508611Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T09:19:32.3509416Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T09:19:32.3510232Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T09:19:32.3511118Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T09:19:32.3512208Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T09:19:32.3513009Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T09:19:32.3513922Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T09:19:32.3514794Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T09:19:32.3515622Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T09:19:32.3516442Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T09:19:32.3517225Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T09:19:32.3518780Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T09:19:32.3519554Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T09:19:32.3520106Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T09:19:32.3520913Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T09:19:32.3521658Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T09:19:32.3522508Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T09:19:32.3523616Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T09:19:32.3524721Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T09:19:32.3525752Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T09:19:32.3526648Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T09:19:32.3527495Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T09:19:32.3528344Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T09:19:32.3529202Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T09:19:32.3530070Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T09:19:32.3531159Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T09:19:32.3532510Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T09:19:32.3533429Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T09:19:32.3534270Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T09:19:32.3535726Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T09:19:32.3537601Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T09:19:32.3538684Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T09:19:32.3539771Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T09:19:32.3540855Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T09:19:32.3541822Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T09:19:32.3542597Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T09:19:32.3543263Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T09:19:32.3543937Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T09:19:32.3544748Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T09:19:32.3545762Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T09:19:32.3546621Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T09:19:32.3547592Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T09:19:32.3548414Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T09:19:32.3549495Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T09:19:32.3550672Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T09:19:32.3551450Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T09:19:32.3552245Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T09:19:32.3553412Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T09:19:32.3554246Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T09:19:32.3555248Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T09:19:32.3556208Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T09:19:32.3557033Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T09:19:32.3557872Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T09:19:32.3558819Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T09:19:32.3559740Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T09:19:32.3560563Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T09:19:32.3561382Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T09:19:32.3562180Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T09:19:32.3562976Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T09:19:32.3563812Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T09:19:32.3564638Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T09:19:32.3565727Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T09:19:32.3567174Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T09:19:32.3567989Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T09:19:32.3568841Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T09:19:32.3569690Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T09:19:32.3571146Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T09:19:32.3571834Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T09:19:32.3572656Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T09:19:32.3573764Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T09:19:32.3574620Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T09:19:32.3575490Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T09:19:32.3576317Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T09:19:32.3577340Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T09:19:32.3578243Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T09:19:32.3579085Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T09:19:32.3579900Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T09:19:32.3580787Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T09:19:32.3581632Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T09:19:32.3582561Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T09:19:32.3583578Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T09:19:32.3584438Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T09:19:32.3585301Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T09:19:32.3586293Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T09:19:32.3587160Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T09:19:32.3588166Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T09:19:32.3589139Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T09:19:32.3590036Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T09:19:32.3590973Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T09:19:32.3591809Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T09:19:32.3592678Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T09:19:32.3593905Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T09:19:32.3597823Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T09:19:32.3598607Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T09:19:32.3599474Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T09:19:32.3600346Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T09:19:32.3601179Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T09:19:32.3602033Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T09:19:32.3602900Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T09:19:32.3604031Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T09:19:32.3605152Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T09:19:32.3606034Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T09:19:32.3606887Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T09:19:32.3607766Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T09:19:32.3608646Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T09:19:32.3609487Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T09:19:32.3610346Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T09:19:32.3611216Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T09:19:32.3612059Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T09:19:32.3612915Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T09:19:32.3613751Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T09:19:32.3614619Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T09:19:32.3615481Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T09:19:32.3616317Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T09:19:32.3617169Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T09:19:32.3618015Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T09:19:32.3618995Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T09:19:32.3619745Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T09:19:32.3620714Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T09:19:32.3621570Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T09:19:32.3622442Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T09:19:32.3623325Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T09:19:32.3624343Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T09:19:32.3625257Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T09:19:32.3626237Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T09:19:32.3627120Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T09:19:32.3627957Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T09:19:32.3628821Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T09:19:32.3629687Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T09:19:32.3630560Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T09:19:32.3632048Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T09:19:32.3632723Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T09:19:32.3633580Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T09:19:32.3634451Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T09:19:32.3635371Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T09:19:32.3636336Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T09:19:32.3637208Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T09:19:32.3638116Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T09:19:32.3639016Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T09:19:32.3639857Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T09:19:32.3640722Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T09:19:32.3641588Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T09:19:32.3642498Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T09:19:32.3643336Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T09:19:32.3644197Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T09:19:32.3645048Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T09:19:32.3645940Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T09:19:32.3646789Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T09:19:32.3647627Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T09:19:32.3648646Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T09:19:32.3649659Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T09:19:32.3650740Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T09:19:32.3651801Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T09:19:32.3652596Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T09:19:32.3653472Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T09:19:32.3654328Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T09:19:32.3655174Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T09:19:32.3656030Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T09:19:32.3656889Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T09:19:32.3657900Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T09:19:32.3658753Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T09:19:32.3659629Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T09:19:32.3660652Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T09:19:32.3661543Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T09:19:32.3662416Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T09:19:32.3663296Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T09:19:32.3664282Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T09:19:32.3665902Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T09:19:32.3666614Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T09:19:32.3667444Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T09:19:32.3668319Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T09:19:32.3669168Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T09:19:32.3670023Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T09:19:32.3671119Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T09:19:32.3671987Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T09:19:32.3672886Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T09:19:32.3673779Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T09:19:32.3674624Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T09:19:32.3675635Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T09:19:32.3676670Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T09:19:32.3677555Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T09:19:32.3678489Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T09:19:32.3680076Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T09:19:32.3680812Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T09:19:32.3681693Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T09:19:32.3682553Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T09:19:32.3683404Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T09:19:32.3684444Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T09:19:32.3685328Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T09:19:32.3686318Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T09:19:32.3687118Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T09:19:32.3688219Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T09:19:32.3689107Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T09:19:32.3689984Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T09:19:32.3691604Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T09:19:32.3692353Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T09:19:32.3693215Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T09:19:32.3694279Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T09:19:32.3695466Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T09:19:32.3696336Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T09:19:32.3697357Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T09:19:32.3698280Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T09:19:32.3699254Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T09:19:32.3700264Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T09:19:32.3701189Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T09:19:32.3702090Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T09:19:32.3702946Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T09:19:32.3703822Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T09:19:32.3704702Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T09:19:32.3705696Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T09:19:32.3706867Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T09:19:32.3708391Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T09:19:32.3709098Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T09:19:32.3710032Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T09:19:32.3710997Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T09:19:32.3711868Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T09:19:32.3712751Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T09:19:32.3713639Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T09:19:32.3714506Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T09:19:32.3715374Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T09:19:32.3716237Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T09:19:32.3717103Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T09:19:32.3717976Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T09:19:32.3718992Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T09:19:32.3719851Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T09:19:32.3720745Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T09:19:32.3721717Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T09:19:32.3722511Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T09:19:32.3723367Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T09:19:32.3724246Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T09:19:32.3725096Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T09:19:32.3725994Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T09:19:32.3727089Z  * [new tag]                 ciflow/inductor/169557      -> ciflow/inductor/169557
2025-12-04T09:19:32.3727987Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T09:19:32.3729073Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T09:19:32.3730121Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T09:19:32.3731151Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T09:19:32.3731993Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T09:19:32.3732826Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T09:19:32.3733712Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T09:19:32.3734714Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T09:19:32.3735510Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T09:19:32.3737048Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T09:19:32.3737727Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T09:19:32.3739047Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T09:19:32.3739670Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T09:19:32.3740568Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T09:19:32.3741673Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T09:19:32.3743440Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T09:19:32.3744136Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T09:19:32.3745042Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T09:19:32.3746116Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T09:19:32.3746992Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T09:19:32.3747767Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T09:19:32.3748954Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T09:19:32.3749800Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T09:19:32.3750769Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T09:19:32.3751556Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T09:19:32.3752361Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T09:19:32.3753397Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T09:19:32.3754495Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T09:19:32.3755746Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T09:19:32.3756520Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T09:19:32.3758243Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:32.3759161Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T09:19:32.3760610Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T09:19:32.3761577Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T09:19:32.3762603Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T09:19:32.3763682Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T09:19:32.3764878Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T09:19:32.3765982Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T09:19:32.3767078Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T09:19:32.3768361Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T09:19:32.3769270Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T09:19:32.3770094Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T09:19:32.3770927Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T09:19:32.3771931Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T09:19:32.3772757Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T09:19:32.3773727Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T09:19:32.3774525Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T09:19:32.3775521Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T09:19:32.3776526Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T09:19:32.3777341Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T09:19:32.3778148Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T09:19:32.3778942Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T09:19:32.3779981Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T09:19:32.3780838Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T09:19:32.3781630Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T09:19:32.3782611Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T09:19:32.3783413Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T09:19:32.3784437Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T09:19:32.3785290Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T09:19:32.3786156Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T09:19:32.3787012Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T09:19:32.3787880Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T09:19:32.3788727Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T09:19:32.3789705Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T09:19:32.3790507Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T09:19:32.3791330Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T09:19:32.3792192Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T09:19:32.3792991Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T09:19:32.3794253Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T09:19:32.3795698Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T09:19:32.3796664Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T09:19:32.3797499Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T09:19:32.3798380Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T09:19:32.3799249Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T09:19:32.3800197Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T09:19:32.3800941Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T09:19:32.3801786Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T09:19:32.3802685Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T09:19:32.3803598Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T09:19:32.3804445Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T09:19:32.3805292Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T09:19:32.3806147Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T09:19:32.3807069Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T09:19:32.3807922Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T09:19:32.3809192Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T09:19:32.3810207Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T09:19:32.3811595Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T09:19:32.3819991Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T09:19:32.3820605Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T09:19:32.3821092Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T09:19:32.3821599Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T09:19:32.3822104Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T09:19:32.3822591Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T09:19:32.3823079Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T09:19:32.3823571Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T09:19:32.3824069Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T09:19:32.3824553Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T09:19:32.3825044Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T09:19:32.3825961Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T09:19:32.3826797Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T09:19:32.3827547Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T09:19:32.3828049Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T09:19:32.3828726Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T09:19:32.3829562Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T09:19:32.3831222Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T09:19:32.3832119Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T09:19:32.3832836Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T09:19:32.3833674Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T09:19:32.3834497Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T09:19:32.3835328Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T09:19:32.3836159Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T09:19:32.3836963Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T09:19:32.3837806Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T09:19:32.3838635Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T09:19:32.3839566Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T09:19:32.3840287Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T09:19:32.3841119Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T09:19:32.3842602Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T09:19:32.3843582Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-12-04T09:19:32.3844548Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T09:19:32.3845412Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T09:19:32.3846263Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T09:19:32.3847224Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T09:19:32.3848274Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T09:19:32.3849253Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T09:19:32.3850162Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T09:19:32.3850957Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T09:19:32.3851804Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T09:19:32.3852671Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T09:19:32.3853754Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T09:19:32.3854422Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T09:19:32.3855537Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T09:19:32.3856233Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T09:19:32.3857331Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T09:19:32.3858147Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T09:19:32.3859196Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T09:19:32.3859891Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T09:19:32.3860802Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T09:19:32.3861554Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T09:19:32.3862630Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T09:19:32.3863311Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T09:19:32.3864111Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T09:19:32.3865170Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T09:19:32.3865931Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T09:19:32.3867110Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T09:19:32.3867985Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T09:19:32.3869012Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T09:19:32.3869716Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T09:19:32.3870849Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T09:19:32.3871567Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T09:19:32.3872385Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T09:19:32.3873408Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T09:19:32.3874431Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T09:19:32.3875134Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T09:19:32.3876157Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T09:19:32.3877253Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T09:19:32.3878072Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T09:19:32.3879109Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T09:19:32.3879762Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T09:19:32.3881277Z  * [new tag]                 ciflow/trunk/169048         -> ciflow/trunk/169048
2025-12-04T09:19:32.3881954Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T09:19:32.3883025Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T09:19:32.3883755Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T09:19:32.3884505Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T09:19:32.3885965Z  * [new tag]                 ciflow/trunk/169125         -> ciflow/trunk/169125
2025-12-04T09:19:32.3887044Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T09:19:32.3887871Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T09:19:32.3888948Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T09:19:32.3889681Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T09:19:32.3890825Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T09:19:32.3891510Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T09:19:32.3892593Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T09:19:32.3893250Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T09:19:32.3894797Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T09:19:32.3895626Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T09:19:32.3896897Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T09:19:32.3897626Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T09:19:32.3898694Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T09:19:32.3899382Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T09:19:32.3900556Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T09:19:32.3901372Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T09:19:32.3902186Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T09:19:32.3903026Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T09:19:32.3903863Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T09:19:32.3905121Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T09:19:32.3905996Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T09:19:32.3906950Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T09:19:32.3907769Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T09:19:32.3908966Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T09:19:32.3909785Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T09:19:32.3910713Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T09:19:32.3911497Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T09:19:32.3912603Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T09:19:32.3913410Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T09:19:32.3914381Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T09:19:32.3915089Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T09:19:32.3916093Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T09:19:32.3916908Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T09:19:32.3917845Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T09:19:32.3918594Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T09:19:32.3919588Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T09:19:32.3920331Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T09:19:32.3921305Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T09:19:32.3922293Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T09:19:32.3923027Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T09:19:32.3924021Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T09:19:32.3925089Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T09:19:32.3925900Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T09:19:32.3926877Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T09:19:32.3927652Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T09:19:32.3928596Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T09:19:32.3929340Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T09:19:32.3930399Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T09:19:32.3931075Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T09:19:32.3932047Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T09:19:32.3932781Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T09:19:32.3933967Z  * [new tag]                 ciflow/trunk/169555         -> ciflow/trunk/169555
2025-12-04T09:19:32.3935241Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T09:19:32.3936813Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T09:19:32.3937526Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T09:19:32.3938427Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T09:19:32.3939233Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T09:19:32.3940042Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T09:19:32.3941183Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T09:19:32.3941853Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T09:19:32.3942825Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T09:19:32.3943786Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T09:19:32.3944533Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T09:19:32.3945343Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T09:19:32.3946487Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T09:19:32.3947141Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T09:19:32.3948192Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T09:19:32.3948870Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T09:19:32.3949573Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T09:19:32.3950858Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T09:19:32.3952170Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T09:19:32.3953184Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T09:19:32.3953927Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T09:19:32.3954991Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T09:19:32.3955667Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T09:19:32.3956906Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T09:19:32.3957582Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T09:19:32.3958406Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T09:19:32.3959593Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T09:19:32.3960317Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T09:19:32.3961139Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T09:19:32.3962218Z  * [new tag]                 ciflow/xpu/169555           -> ciflow/xpu/169555
2025-12-04T09:19:32.3963270Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T09:19:32.3964084Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T09:19:32.3965229Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T09:19:32.3966087Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T09:19:32.3967398Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T09:19:32.3968618Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T09:19:32.3969509Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T09:19:32.3970660Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T09:19:32.3971465Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T09:19:32.3972627Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T09:19:32.3973342Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T09:19:32.3974565Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T09:19:32.3975929Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T09:19:32.3977036Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T09:19:32.3977831Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T09:19:32.3978580Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T09:19:32.3980142Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T09:19:32.3980905Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T09:19:32.3982095Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T09:19:32.3983184Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T09:19:32.3984153Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T09:19:32.3985216Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T09:19:32.3986242Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T09:19:32.3988039Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T09:19:32.3989039Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T09:19:32.3990056Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T09:19:32.3991078Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T09:19:32.3992127Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T09:19:32.3993264Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T09:19:32.3995060Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T09:19:32.3995894Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T09:19:32.3997290Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T09:19:32.3998599Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T09:19:32.3999579Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T09:19:32.4000568Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T09:19:32.4002168Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T09:19:32.4003077Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T09:19:32.4004386Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T09:19:32.4005454Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T09:19:32.4006409Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T09:19:32.4007452Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T09:19:32.4008636Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T09:19:32.4009519Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T09:19:32.4010838Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T09:19:32.4011767Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T09:19:32.4012762Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T09:19:32.4013786Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T09:19:32.4014791Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T09:19:32.4015815Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T09:19:32.4016818Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T09:19:32.4018028Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T09:19:32.4018832Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T09:19:32.4019853Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T09:19:32.4022852Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T09:19:32.4023271Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T09:19:32.4023689Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T09:19:32.4024324Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T09:19:32.4025348Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T09:19:32.4026257Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T09:19:32.4027274Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T09:19:32.4028157Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T09:19:32.4029184Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T09:19:32.4030185Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T09:19:32.4031025Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T09:19:32.4032250Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T09:19:32.4033291Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T09:19:32.4034330Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T09:19:32.4035338Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T09:19:32.4036527Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T09:19:32.4037415Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T09:19:32.4038421Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T09:19:32.4039488Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T09:19:32.4040499Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T09:19:32.4041490Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T09:19:32.4042531Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T09:19:32.4043604Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T09:19:32.4044492Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T09:19:32.4045489Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T09:19:32.4046487Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T09:19:32.4047517Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T09:19:32.4048546Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T09:19:32.4049517Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T09:19:32.4050516Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T09:19:32.4051451Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T09:19:32.4052858Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T09:19:32.4053663Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T09:19:32.4054726Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T09:19:32.4055745Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T09:19:32.4056751Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T09:19:32.4057667Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T09:19:32.4058943Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T09:19:32.4059965Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T09:19:32.4061551Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T09:19:32.4062504Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T09:19:32.4063533Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T09:19:32.4064570Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T09:19:32.4065934Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T09:19:32.4066973Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T09:19:32.4068029Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T09:19:32.4069595Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T09:19:32.4070592Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T09:19:32.4071449Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T09:19:32.4072660Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T09:19:32.4073578Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T09:19:32.4074455Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T09:19:32.4075717Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T09:19:32.4076674Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T09:19:32.4077711Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T09:19:32.4078573Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T09:19:32.4079544Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T09:19:32.4080738Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T09:19:32.4081772Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T09:19:32.4082767Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T09:19:32.4083805Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T09:19:32.4084795Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T09:19:32.4085954Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T09:19:32.4086923Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T09:19:32.4087932Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T09:19:32.4089085Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T09:19:32.4090006Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T09:19:32.4091036Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T09:19:32.4092063Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T09:19:32.4093148Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T09:19:32.4094543Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T09:19:32.4098437Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T09:19:32.4099483Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T09:19:32.4100551Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T09:19:32.4101583Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T09:19:32.4102813Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T09:19:32.4103769Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T09:19:32.4104801Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T09:19:32.4105958Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T09:19:32.4106870Z  * [new tag]                 trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f
2025-12-04T09:19:32.4108012Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T09:19:32.4109013Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T09:19:32.4110167Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T09:19:32.4110903Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T09:19:32.4111937Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T09:19:32.4112936Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T09:19:32.4113981Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T09:19:32.4115152Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T09:19:32.4115941Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:32.4116886Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T09:19:32.4118116Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T09:19:32.4119164Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T09:19:32.4120074Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T09:19:32.4120941Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T09:19:32.4121970Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T09:19:32.4123360Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T09:19:32.4124671Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T09:19:32.4125608Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T09:19:32.4126491Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T09:19:32.4127782Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T09:19:32.4128691Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T09:19:32.4129772Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T09:19:32.4130958Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T09:19:32.4131946Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T09:19:32.4133012Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T09:19:32.4133907Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T09:19:32.4134800Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T09:19:32.4136055Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T09:19:32.4137035Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T09:19:32.4138076Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T09:19:32.4139613Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T09:19:32.4140551Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T09:19:32.4141574Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T09:19:32.4142645Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T09:19:32.4143708Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T09:19:32.4144712Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T09:19:32.4145987Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T09:19:32.4147004Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T09:19:32.4148327Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T09:19:32.4149286Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T09:19:32.4150291Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T09:19:32.4151315Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T09:19:32.4152201Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T09:19:32.4153384Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T09:19:32.4154448Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T09:19:32.4155475Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T09:19:32.4156389Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T09:19:32.4157281Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T09:19:32.4158342Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T09:19:32.4159553Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T09:19:32.4160514Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T09:19:32.4161696Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T09:19:32.4162719Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T09:19:32.4163858Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T09:19:32.4164871Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T09:19:32.4165914Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T09:19:32.4166963Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T09:19:32.4168172Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T09:19:32.4169203Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T09:19:32.4170270Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T09:19:32.4171450Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T09:19:32.4172530Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T09:19:32.4173551Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T09:19:32.4174825Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T09:19:32.4176157Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T09:19:32.4177048Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T09:19:32.4178088Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T09:19:32.4179502Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T09:19:32.4180502Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T09:19:32.4181674Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T09:19:32.4182690Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T09:19:32.4183594Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T09:19:32.4184923Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T09:19:32.4186146Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T09:19:32.4187043Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T09:19:32.4188117Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T09:19:32.4189300Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T09:19:32.4190228Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T09:19:32.4191655Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T09:19:32.4192725Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T09:19:32.4194502Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T09:19:32.4195331Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T09:19:32.4196311Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T09:19:32.4197666Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T09:19:32.4198489Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T09:19:32.4199554Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T09:19:32.4200592Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T09:19:32.4201897Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T09:19:32.4202734Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T09:19:32.4204063Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T09:19:32.4204946Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T09:19:32.4206008Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T09:19:32.4207315Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T09:19:32.4208623Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T09:19:32.4210249Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T09:19:32.4210967Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T09:19:32.4212237Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T09:19:32.4213223Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T09:19:32.4214293Z  * [new tag]                 trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3
2025-12-04T09:19:32.4215584Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T09:19:32.4216432Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T09:19:32.4217493Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T09:19:32.4219186Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T09:19:32.4220055Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T09:19:32.4221080Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T09:19:32.4222107Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T09:19:32.4223402Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T09:19:32.4224235Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T09:19:32.4225591Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T09:19:32.4226352Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T09:19:32.4227640Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T09:19:32.4228510Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T09:19:32.4229448Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T09:19:32.4230741Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T09:19:32.4231633Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T09:19:32.4233318Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T09:19:32.4234230Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T09:19:32.4235370Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:32.4236074Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T09:19:32.4237266Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T09:19:32.4238038Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T09:19:32.4239218Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T09:19:32.4239947Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T09:19:32.4241142Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T09:19:32.4241906Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T09:19:32.4243044Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T09:19:32.4243860Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T09:19:32.4244936Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T09:19:32.4245715Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T09:19:32.4246878Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T09:19:32.4247917Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T09:19:32.4248915Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T09:19:32.4249996Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T09:19:32.4250789Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T09:19:32.4251889Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T09:19:32.4252672Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T09:19:32.4253815Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T09:19:32.4254829Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T09:19:32.4255845Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T09:19:32.4256481Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T09:19:32.4257538Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T09:19:32.4258523Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T09:19:32.4259728Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T09:19:32.4260809Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T09:19:32.4261816Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T09:19:32.4262492Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T09:19:32.4263671Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T09:19:32.4264327Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T09:19:32.4265288Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T09:19:32.4266037Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T09:19:32.4267306Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T09:19:32.4268390Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T09:19:32.4269484Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T09:19:32.4270660Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T09:19:32.4271657Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T09:19:32.4272836Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T09:19:32.4273393Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T09:19:32.4274433Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T09:19:32.4275569Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T09:19:32.4276380Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T09:19:32.4277573Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T09:19:32.4278639Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T09:19:32.4279723Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T09:19:32.4280784Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T09:19:32.4281901Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T09:19:32.4282565Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T09:19:32.4283316Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T09:19:32.4284357Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T09:19:32.4285880Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T09:19:32.4286984Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T09:19:32.4288033Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T09:19:32.4289079Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T09:19:32.4289699Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T09:19:32.4290877Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T09:19:32.4291863Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T09:19:32.4292846Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T09:19:32.4294011Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T09:19:32.4295422Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T09:19:32.4296132Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T09:19:32.4296928Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T09:19:32.4298178Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T09:19:32.4298841Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T09:19:32.4299946Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T09:19:32.4301032Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T09:19:32.4301821Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T09:19:32.4303024Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T09:19:32.4303625Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T09:19:32.4304766Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T09:19:32.4305847Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T09:19:32.4306639Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T09:19:32.4307808Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T09:19:32.4308879Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T09:19:32.4309937Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T09:19:32.4311062Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T09:19:32.4311960Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T09:19:32.4312699Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T09:19:32.4313959Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T09:19:32.4314638Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T09:19:32.4315403Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T09:19:32.4316673Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T09:19:32.4317863Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T09:19:32.4318669Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T09:19:32.4319797Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T09:19:32.4320794Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T09:19:32.4321869Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T09:19:32.4322512Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T09:19:32.4323749Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T09:19:32.4324828Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T09:19:32.4325944Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T09:19:32.4327093Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T09:19:32.4327581Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T09:19:32.4328855Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T09:19:32.4330019Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T09:19:32.4331127Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T09:19:32.4331749Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T09:19:32.4332831Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T09:19:32.4333494Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T09:19:32.4334690Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T09:19:32.4335702Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T09:19:32.4336808Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T09:19:32.4337466Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T09:19:32.4338457Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T09:19:32.4339494Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T09:19:32.4340224Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T09:19:32.4341230Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T09:19:32.4342682Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T09:19:32.4343582Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T09:19:32.4344691Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T09:19:32.4345792Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T09:19:32.4346919Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T09:19:32.4347998Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T09:19:32.4348632Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T09:19:32.4350342Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T09:19:32.4351661Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T09:19:32.4352236Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T09:19:32.4353388Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T09:19:32.4354374Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T09:19:32.4355474Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T09:19:32.4356537Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T09:19:32.4357528Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T09:19:32.4358596Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T09:19:32.4359432Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T09:19:32.4360506Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T09:19:32.4361573Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T09:19:32.4362232Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T09:19:32.4363410Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T09:19:32.4364045Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T09:19:32.4365728Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T09:19:32.4366760Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T09:19:32.4367892Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T09:19:32.4368956Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T09:19:32.4370169Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T09:19:32.4371259Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T09:19:32.4371961Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T09:19:32.4373243Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T09:19:32.4374330Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T09:19:32.4375425Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T09:19:32.4376615Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T09:19:32.4377650Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T09:19:32.4378646Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T09:19:32.4379284Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T09:19:32.4380499Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T09:19:32.4381567Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T09:19:32.4382639Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T09:19:32.4383372Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T09:19:32.4384657Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T09:19:32.4385860Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T09:19:32.4386604Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T09:19:32.4387763Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T09:19:32.4388829Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T09:19:32.4389883Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T09:19:32.4390962Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T09:19:32.4391616Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T09:19:32.4392420Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T09:19:32.4393771Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T09:19:32.4398603Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T09:19:32.4399397Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T09:19:32.4400342Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T09:19:32.4400980Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T09:19:32.4402376Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T09:19:32.4403122Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T09:19:32.4404009Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T09:19:32.4405371Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T09:19:32.4406199Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T09:19:32.4407466Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T09:19:32.4408641Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T09:19:32.4409252Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T09:19:32.4410420Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T09:19:32.4411476Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T09:19:32.4412581Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T09:19:32.4413594Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T09:19:32.4414318Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T09:19:32.4415495Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T09:19:32.4416563Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T09:19:32.4417264Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T09:19:32.4418315Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T09:19:32.4419794Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T09:19:32.4420864Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T09:19:32.4421943Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T09:19:32.4423015Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T09:19:32.4424027Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T09:19:32.4425084Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T09:19:32.4426164Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T09:19:32.4427234Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T09:19:32.4428343Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T09:19:32.4429428Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T09:19:32.4430429Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T09:19:32.4431547Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T09:19:32.4432618Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T09:19:32.4433299Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T09:19:32.4434593Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T09:19:32.4435641Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T09:19:32.4436780Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T09:19:32.4437780Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T09:19:32.4438786Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T09:19:32.4439561Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T09:19:32.4440786Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T09:19:32.4441892Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T09:19:32.4442661Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T09:19:32.4443907Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T09:19:32.4445028Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T09:19:32.4446075Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T09:19:32.4447156Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T09:19:32.4448240Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T09:19:32.4448844Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T09:19:32.4449645Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T09:19:32.4450432Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T09:19:32.4451766Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T09:19:32.4452930Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T09:19:32.4454048Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T09:19:32.4454824Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T09:19:32.4456306Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T09:19:32.4457522Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T09:19:32.4458405Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T09:19:32.4459780Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T09:19:32.4460856Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T09:19:32.4462105Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T09:19:32.4463205Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T09:19:32.4463873Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T09:19:32.4465184Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T09:19:32.4466332Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T09:19:32.4467483Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T09:19:32.4468560Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T09:19:32.4469345Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T09:19:32.4470574Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T09:19:32.4471713Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T09:19:32.4472817Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T09:19:32.4473592Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T09:19:32.4474979Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T09:19:32.4476065Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T09:19:32.4477280Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T09:19:32.4478397Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T09:19:32.4479477Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T09:19:32.4480218Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T09:19:32.4481388Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T09:19:32.4482529Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T09:19:32.4483727Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T09:19:32.4484802Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T09:19:32.4485936Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T09:19:32.4487006Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T09:19:32.4488547Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T09:19:32.4489630Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T09:19:32.4490699Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T09:19:32.4491796Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T09:19:32.4492971Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T09:19:32.4494079Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T09:19:32.4495716Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T09:19:32.4496816Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T09:19:32.4497938Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T09:19:32.4499056Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T09:19:32.4500382Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T09:19:32.4501493Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T09:19:32.4502784Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T09:19:32.4503444Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T09:19:32.4504275Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T09:19:32.4505592Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T09:19:32.4507083Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T09:19:32.4509171Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T09:19:32.4510017Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T09:19:32.4511179Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T09:19:32.4512002Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T09:19:32.4513185Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T09:19:32.4514036Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T09:19:32.4515184Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T09:19:32.4516023Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T09:19:32.4517162Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T09:19:32.4518466Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T09:19:32.4519650Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T09:19:32.4520701Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T09:19:32.4521863Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T09:19:32.4522945Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T09:19:32.4523769Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T09:19:32.4525002Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T09:19:32.4526094Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T09:19:32.4526942Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T09:19:32.4528183Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T09:19:32.4529292Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T09:19:32.4530133Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T09:19:32.4531352Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T09:19:32.4532176Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T09:19:32.4533397Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T09:19:32.4534245Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T09:19:32.4535585Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T09:19:32.4536395Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T09:19:32.4537566Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T09:19:32.4538418Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T09:19:32.4539676Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T09:19:32.4540775Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T09:19:32.4541620Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T09:19:32.4542945Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T09:19:32.4543863Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T09:19:32.4545101Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T09:19:32.4546051Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T09:19:32.4547311Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T09:19:32.4548363Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T09:19:32.4549224Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T09:19:32.4550458Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T09:19:32.4551310Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T09:19:32.4552488Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T09:19:32.4553559Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T09:19:32.4554662Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T09:19:32.4555441Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T09:19:32.4556832Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T09:19:32.4557880Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T09:19:32.4559014Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T09:19:32.4559839Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T09:19:32.4561093Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T09:19:32.4561948Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T09:19:32.4563112Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T09:19:32.4564324Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T09:19:32.4565124Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T09:19:32.4566338Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T09:19:32.4567180Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T09:19:32.4568436Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T09:19:32.4569261Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T09:19:32.4570549Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T09:19:32.4571633Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T09:19:32.4572310Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T09:19:32.4573600Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T09:19:32.4574372Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T09:19:32.4575608Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T09:19:32.4577258Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T09:19:32.4578320Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T09:19:32.4579176Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T09:19:32.4580363Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T09:19:32.4581430Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T09:19:32.4582157Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T09:19:32.4583472Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T09:19:32.4584536Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T09:19:32.4585729Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T09:19:32.4586896Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T09:19:32.4587825Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T09:19:32.4588657Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T09:19:32.4589822Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T09:19:32.4590859Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T09:19:32.4591981Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T09:19:32.4592795Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T09:19:32.4594248Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T09:19:32.4595408Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T09:19:32.4596736Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T09:19:32.4597332Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T09:19:32.4598527Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T09:19:32.4599657Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T09:19:32.4600753Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T09:19:32.4601564Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T09:19:32.4602833Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T09:19:32.4603973Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T09:19:32.4604762Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T09:19:32.4606269Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T09:19:32.4607116Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T09:19:32.4608468Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T09:19:32.4609259Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T09:19:32.4610091Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T09:19:32.4611454Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T09:19:32.4612451Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T09:19:32.4613517Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T09:19:32.4614360Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T09:19:32.4615576Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T09:19:32.4616858Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T09:19:32.4617909Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T09:19:32.4618755Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T09:19:32.4619695Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T09:19:32.4620923Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T09:19:32.4622064Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T09:19:32.4622908Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T09:19:32.4624118Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T09:19:32.4625186Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T09:19:32.4626402Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T09:19:32.4627248Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T09:19:32.4628455Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T09:19:32.4629565Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T09:19:32.4630424Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T09:19:32.4631645Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T09:19:32.4632504Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T09:19:32.4633797Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T09:19:32.4634923Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T09:19:32.4636019Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T09:19:32.4637124Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T09:19:32.4637944Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T09:19:32.4639175Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T09:19:32.4640037Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T09:19:32.4641340Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T09:19:32.4642467Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T09:19:32.4643547Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T09:19:32.4644679Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T09:19:32.4646196Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T09:19:32.4647261Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T09:19:32.4648374Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T09:19:32.4649133Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T09:19:32.4650229Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T09:19:32.4651118Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T09:19:32.4652279Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T09:19:32.4653341Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T09:19:32.4654809Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T09:19:32.4655385Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T09:19:32.4656609Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T09:19:32.4657674Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T09:19:32.4658723Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T09:19:32.4659888Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T09:19:32.4661315Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T09:19:32.4662151Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T09:19:32.4663371Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T09:19:32.4664217Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T09:19:32.4665646Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T09:19:32.4667200Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T09:19:32.4668249Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T09:19:32.4668988Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T09:19:32.4670215Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T09:19:32.4671353Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T09:19:32.4672206Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T09:19:32.4673254Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T09:19:32.4674551Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T09:19:32.4675165Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T09:19:32.4676323Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T09:19:32.4677366Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T09:19:32.4678612Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T09:19:32.4679319Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T09:19:32.4680644Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T09:19:32.4681695Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T09:19:32.4682531Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T09:19:32.4683735Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T09:19:32.4684820Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T09:19:32.4687449Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T09:19:32.4688237Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T09:19:32.4689482Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T09:19:32.4690521Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T09:19:32.4691676Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T09:19:32.4692506Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T09:19:32.4693915Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T09:19:32.4695160Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T09:19:32.4696244Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T09:19:32.4697096Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T09:19:32.4698258Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T09:19:32.4699341Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T09:19:32.4700272Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T09:19:32.4701510Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T09:19:32.4702599Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T09:19:32.4703416Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T09:19:32.4704595Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T09:19:32.4705863Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T09:19:32.4706626Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T09:19:32.4707879Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T09:19:32.4708998Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T09:19:32.4709797Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T09:19:32.4710983Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T09:19:32.4712090Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T09:19:32.4713156Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T09:19:32.4714252Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T09:19:32.4715103Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T09:19:32.4716796Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T09:19:32.4717909Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T09:19:32.4719014Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T09:19:32.4720158Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T09:19:32.4720957Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T09:19:32.4722182Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T09:19:32.4723341Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T09:19:32.4724432Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T09:19:32.4725278Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T09:19:32.4726455Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T09:19:32.4727504Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T09:19:32.4728625Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T09:19:32.4729681Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T09:19:32.4730859Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T09:19:32.4731558Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T09:19:32.4733220Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T09:19:32.4734285Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T09:19:32.4735333Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T09:19:32.4736437Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T09:19:32.4737485Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T09:19:32.4738547Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T09:19:32.4739387Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T09:19:32.4740575Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T09:19:32.4741637Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T09:19:32.4742773Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T09:19:32.4743597Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T09:19:32.4744828Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T09:19:32.4745945Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T09:19:32.4747201Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T09:19:32.4748290Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T09:19:32.4749162Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T09:19:32.4750420Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T09:19:32.4751636Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T09:19:32.4752447Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T09:19:32.4753661Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T09:19:32.4754938Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T09:19:32.4756006Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T09:19:32.4756876Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T09:19:32.4758051Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T09:19:32.4759174Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T09:19:32.4760286Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T09:19:32.4761115Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T09:19:32.4762353Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T09:19:32.4763528Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T09:19:32.4764635Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T09:19:32.4765476Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T09:19:32.4766677Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T09:19:32.4767848Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T09:19:32.4769063Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T09:19:32.4769732Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T09:19:32.4770973Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T09:19:32.4772168Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T09:19:32.4773285Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T09:19:32.4774399Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T09:19:32.4775249Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T09:19:32.4776434Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T09:19:32.4777501Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T09:19:32.4778393Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T09:19:32.4779599Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T09:19:32.4780770Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T09:19:32.4781646Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T09:19:32.4782870Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T09:19:32.4783923Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T09:19:32.4785213Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T09:19:32.4786899Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T09:19:32.4788080Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T09:19:32.4789451Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T09:19:32.4790566Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T09:19:32.4791787Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T09:19:32.4793030Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T09:19:32.4799042Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T09:19:32.4800465Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T09:19:32.4801341Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T09:19:32.4802572Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T09:19:32.4803700Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T09:19:32.4804384Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T09:19:32.4805755Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T09:19:32.4807115Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T09:19:32.4808259Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T09:19:32.4809382Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T09:19:32.4810486Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T09:19:32.4811470Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T09:19:32.4812560Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T09:19:32.4813625Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T09:19:32.4814441Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T09:19:32.4815623Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T09:19:32.4816797Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T09:19:32.4817651Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T09:19:32.4818884Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T09:19:32.4820001Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T09:19:32.4820824Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T09:19:32.4822143Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T09:19:32.4822979Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T09:19:32.4824313Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T09:19:32.4825167Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T09:19:32.4826574Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T09:19:32.4827867Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T09:19:32.4828606Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T09:19:32.4829669Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T09:19:32.4830721Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T09:19:32.4831786Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T09:19:32.4832889Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T09:19:32.4834062Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T09:19:32.4835414Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T09:19:32.4836469Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T09:19:32.4837534Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T09:19:32.4838626Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T09:19:32.4839738Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T09:19:32.4840845Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T09:19:32.4842019Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T09:19:32.4843152Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T09:19:32.4844317Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T09:19:32.4845427Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T09:19:32.4846570Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T09:19:32.4847672Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T09:19:32.4848807Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T09:19:32.4849901Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T09:19:32.4851075Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T09:19:32.4851855Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T09:19:32.4853224Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T09:19:32.4854398Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T09:19:32.4855234Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T09:19:32.4856546Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T09:19:32.4858123Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T09:19:32.4859232Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T09:19:32.4860286Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T09:19:32.4861409Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T09:19:32.4862580Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T09:19:32.4864225Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T09:19:32.4865364Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T09:19:32.4866519Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T09:19:32.4867641Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T09:19:32.4868683Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T09:19:32.4869798Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T09:19:32.4870967Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T09:19:32.4872059Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T09:19:32.4873157Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T09:19:32.4874510Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T09:19:32.4875386Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T09:19:32.4876629Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T09:19:32.4877769Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T09:19:32.4878820Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T09:19:32.4879966Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T09:19:32.4881096Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T09:19:32.4882205Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T09:19:32.4883327Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T09:19:32.4884382Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T09:19:32.4885501Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T09:19:32.4886606Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T09:19:32.4887661Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T09:19:32.4888891Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T09:19:32.4889941Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T09:19:32.4891093Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T09:19:32.4892442Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T09:19:32.4893166Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T09:19:32.4896393Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T09:19:32.4896929Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T09:19:32.4897296Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T09:19:32.4897803Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T09:19:32.4899198Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T09:19:32.4900360Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T09:19:32.4901472Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T09:19:32.4902690Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T09:19:32.4903868Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T09:19:32.4904976Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T09:19:32.4906270Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T09:19:32.4907402Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T09:19:32.4908500Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T09:19:32.4910110Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T09:19:32.4910508Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T09:19:32.4911857Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T09:19:32.4912970Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T09:19:32.4914020Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T09:19:32.4915085Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T09:19:32.4915871Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T09:19:32.4923707Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T09:19:32.4924081Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T09:19:32.4924288Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T09:19:32.4924505Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T09:19:32.4924704Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T09:19:32.4924900Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T09:19:32.4925112Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T09:19:32.4925316Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T09:19:32.4926053Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T09:19:32.4927247Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T09:19:32.4928341Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T09:19:32.4929401Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T09:19:32.4930558Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T09:19:32.4931889Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T09:19:32.4933052Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T09:19:32.4933874Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T09:19:32.4935111Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T09:19:32.4936939Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T09:19:32.4937715Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T09:19:32.4939057Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T09:19:32.4940173Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T09:19:32.4941443Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T09:19:32.4942695Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T09:19:32.4943531Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T09:19:32.4944837Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T09:19:32.4946031Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T09:19:32.4947239Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T09:19:32.4948359Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T09:19:32.4949451Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T09:19:32.4950275Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T09:19:32.4951344Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T09:19:32.4952147Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T09:19:32.4953397Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T09:19:32.4954504Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T09:19:32.4955319Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T09:19:32.4956902Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T09:19:32.4958010Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T09:19:32.4959143Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T09:19:32.4960339Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T09:19:32.4961502Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T09:19:32.4962565Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T09:19:32.4963740Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T09:19:32.4964923Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T09:19:32.4966432Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T09:19:32.4967599Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T09:19:32.4968713Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T09:19:32.4969899Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T09:19:32.4971068Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T09:19:32.4972136Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T09:19:32.4973369Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T09:19:32.4974496Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T09:19:32.4975824Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T09:19:32.4976868Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T09:19:32.4978079Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T09:19:32.4979271Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T09:19:32.4980079Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T09:19:32.4981301Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T09:19:32.4982575Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T09:19:32.4983754Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T09:19:32.4984923Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T09:19:32.4986216Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T09:19:32.4987360Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T09:19:32.4988489Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T09:19:32.4989600Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T09:19:32.4990776Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T09:19:32.4991628Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T09:19:32.4992823Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T09:19:32.4994165Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T09:19:32.4995255Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T09:19:32.4996411Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T09:19:32.4997523Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T09:19:32.4998365Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T09:19:32.4999641Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T09:19:32.5000732Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T09:19:32.5001864Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T09:19:32.5003042Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T09:19:32.5004151Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T09:19:32.5005252Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T09:19:32.5006382Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T09:19:32.5007467Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T09:19:32.5008694Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T09:19:32.5010330Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T09:19:32.5011457Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T09:19:32.5012543Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T09:19:32.5013655Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T09:19:32.5014764Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T09:19:32.5015941Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T09:19:32.5017024Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T09:19:32.5018137Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T09:19:32.5019364Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T09:19:32.5020509Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T09:19:32.5021678Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T09:19:32.5022937Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T09:19:32.5024058Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T09:19:32.5025198Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T09:19:32.5026430Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T09:19:32.5027695Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T09:19:32.5028879Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T09:19:32.5030082Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T09:19:32.5031175Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T09:19:32.5032290Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T09:19:32.5033490Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T09:19:32.5034675Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T09:19:32.5035955Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T09:19:32.5037043Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T09:19:32.5038200Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T09:19:32.5039022Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T09:19:32.5040332Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T09:19:32.5041489Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T09:19:32.5042593Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T09:19:32.5043794Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T09:19:32.5044928Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T09:19:32.5046679Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T09:19:32.5047880Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T09:19:32.5049000Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T09:19:32.5049789Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T09:19:32.5051072Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T09:19:32.5052252Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T09:19:32.5053385Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T09:19:32.5054535Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T09:19:32.5055360Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T09:19:32.5056621Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T09:19:32.5057864Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T09:19:32.5058647Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T09:19:32.5059900Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T09:19:32.5061088Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T09:19:32.5062282Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T09:19:32.5063360Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T09:19:32.5064501Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T09:19:32.5065884Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T09:19:32.5067028Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T09:19:32.5068154Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T09:19:32.5069171Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T09:19:32.5070147Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T09:19:32.5071453Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T09:19:32.5072549Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T09:19:32.5073684Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T09:19:32.5074917Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T09:19:32.5076035Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T09:19:32.5077154Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T09:19:32.5078334Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T09:19:32.5079510Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T09:19:32.5080662Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T09:19:32.5081878Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T09:19:32.5083047Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T09:19:32.5084627Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T09:19:32.5085739Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T09:19:32.5086860Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T09:19:32.5088096Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T09:19:32.5089238Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T09:19:32.5090352Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T09:19:32.5091451Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T09:19:32.5092584Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T09:19:32.5094032Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T09:19:32.5095356Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T09:19:32.5096522Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T09:19:32.5097630Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T09:19:32.5098767Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T09:19:32.5099913Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T09:19:32.5101175Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T09:19:32.5102285Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T09:19:32.5103229Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T09:19:32.5104075Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T09:19:32.5105327Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T09:19:32.5106586Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T09:19:32.5107682Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T09:19:32.5108777Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T09:19:32.5109895Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T09:19:32.5111086Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T09:19:32.5112193Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T09:19:32.5113288Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T09:19:32.5115057Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T09:19:32.5116170Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T09:19:32.5117426Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T09:19:32.5118254Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T09:19:32.5119583Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T09:19:32.5120800Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T09:19:32.5121919Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T09:19:32.5122754Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T09:19:32.5123979Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T09:19:32.5124955Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T09:19:32.5127029Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T09:19:32.5128163Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T09:19:32.5129296Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T09:19:32.5130366Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T09:19:32.5131544Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T09:19:32.5132689Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T09:19:32.5134064Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T09:19:32.5135260Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T09:19:32.5136398Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T09:19:32.5137439Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T09:19:32.5138521Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T09:19:32.5139643Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T09:19:32.5140784Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T09:19:32.5141945Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T09:19:32.5142807Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T09:19:32.5144052Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T09:19:32.5145345Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T09:19:32.5146419Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T09:19:32.5147629Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T09:19:32.5148758Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T09:19:32.5149886Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T09:19:32.5151121Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T09:19:32.5152218Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T09:19:32.5153083Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T09:19:32.5154338Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T09:19:32.5155510Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T09:19:32.5156368Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T09:19:32.5157434Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T09:19:32.5158933Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T09:19:32.5160070Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T09:19:32.5161276Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T09:19:32.5162407Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T09:19:32.5163529Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T09:19:32.5164742Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T09:19:32.5165943Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T09:19:32.5167143Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T09:19:32.5168247Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T09:19:32.5169541Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T09:19:32.5170599Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T09:19:32.5171418Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T09:19:32.5172733Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T09:19:32.5173836Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T09:19:32.5175297Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T09:19:32.5176474Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T09:19:32.5177601Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T09:19:32.5178712Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T09:19:32.5179833Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T09:19:32.5181076Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T09:19:32.5182128Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T09:19:32.5183262Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T09:19:32.5184351Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T09:19:32.5185733Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T09:19:32.5186984Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T09:19:32.5187985Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T09:19:32.5189096Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T09:19:32.5190350Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T09:19:32.5191466Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T09:19:32.5192795Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T09:19:32.5194172Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T09:19:32.5198003Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T09:19:32.5199263Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T09:19:32.5200472Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T09:19:32.5201291Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T09:19:32.5202526Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T09:19:32.5203648Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T09:19:32.5204902Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T09:19:32.5206015Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T09:19:32.5207146Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T09:19:32.5208250Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T09:19:32.5209371Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T09:19:32.5210488Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T09:19:32.5211492Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T09:19:32.5212535Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T09:19:32.5213679Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T09:19:32.5214768Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T09:19:32.5215890Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T09:19:32.5216982Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T09:19:32.5218065Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T09:19:32.5219231Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T09:19:32.5220397Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T09:19:32.5221530Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T09:19:32.5222589Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T09:19:32.5223434Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T09:19:32.5224661Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T09:19:32.5226048Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T09:19:32.5227196Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T09:19:32.5228298Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T09:19:32.5229649Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T09:19:32.5230530Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T09:19:32.5231714Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T09:19:32.5232904Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T09:19:32.5234078Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T09:19:32.5235757Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T09:19:32.5236870Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T09:19:32.5238280Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T09:19:32.5239360Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T09:19:32.5240445Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T09:19:32.5241553Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T09:19:32.5242647Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T09:19:32.5243720Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T09:19:32.5244901Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T09:19:32.5246036Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T09:19:32.5246867Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T09:19:32.5248079Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T09:19:32.5249189Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T09:19:32.5250030Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T09:19:32.5251338Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T09:19:32.5252481Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T09:19:32.5253573Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T09:19:32.5254682Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T09:19:32.5255747Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T09:19:32.5256864Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T09:19:32.5258057Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T09:19:32.5258882Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T09:19:32.5260060Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T09:19:32.5261425Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T09:19:32.5262573Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T09:19:32.5263408Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T09:19:32.5264484Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T09:19:32.5265278Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T09:19:32.5266418Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T09:19:32.5267234Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T09:19:32.5268337Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T09:19:32.5269119Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T09:19:32.5270332Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T09:19:32.5271098Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T09:19:32.5272138Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T09:19:32.5272946Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T09:19:32.5273987Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T09:19:32.5274780Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T09:19:32.5275827Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T09:19:32.5276622Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T09:19:32.5277691Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T09:19:32.5278504Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T09:19:32.5279550Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T09:19:32.5280341Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T09:19:32.5281393Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T09:19:32.5282207Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T09:19:32.5283246Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T09:19:32.5284085Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T09:19:32.5285125Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T09:19:32.5286219Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T09:19:32.5287326Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T09:19:32.5288644Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T09:19:32.6125607Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T09:19:32.6152892Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:32.6156513Z ##[endgroup]
2025-12-04T09:19:32.6156814Z ##[group]Determining the checkout info
2025-12-04T09:19:32.6158067Z ##[endgroup]
2025-12-04T09:19:32.6162203Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T09:19:32.6196112Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T09:19:32.6223107Z ##[group]Checking out the ref
2025-12-04T09:19:32.6226203Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:33.6578387Z Updating files:  79% (16000/20121)
2025-12-04T09:19:33.6907136Z Updating files:  80% (16097/20121)
2025-12-04T09:19:33.7197583Z Updating files:  81% (16299/20121)
2025-12-04T09:19:33.7413111Z Updating files:  82% (16500/20121)
2025-12-04T09:19:33.7566561Z Updating files:  83% (16701/20121)
2025-12-04T09:19:33.7706345Z Updating files:  84% (16902/20121)
2025-12-04T09:19:33.7868957Z Updating files:  85% (17103/20121)
2025-12-04T09:19:33.8028863Z Updating files:  86% (17305/20121)
2025-12-04T09:19:33.8174091Z Updating files:  87% (17506/20121)
2025-12-04T09:19:33.8288472Z Updating files:  88% (17707/20121)
2025-12-04T09:19:33.8426262Z Updating files:  89% (17908/20121)
2025-12-04T09:19:33.8603536Z Updating files:  90% (18109/20121)
2025-12-04T09:19:33.8718462Z Updating files:  91% (18311/20121)
2025-12-04T09:19:33.8875237Z Updating files:  92% (18512/20121)
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2025-12-04T09:19:34.0248314Z Updating files: 100% (20121/20121), done.
2025-12-04T09:19:34.0532962Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T09:19:34.0533527Z 
2025-12-04T09:19:34.0533894Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T09:19:34.0534873Z changes and commit them, and you can discard any commits you make in this
2025-12-04T09:19:34.0535841Z state without impacting any branches by switching back to a branch.
2025-12-04T09:19:34.0536447Z 
2025-12-04T09:19:34.0536784Z If you want to create a new branch to retain commits you create, you may
2025-12-04T09:19:34.0537920Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T09:19:34.0538434Z 
2025-12-04T09:19:34.0538609Z   git switch -c <new-branch-name>
2025-12-04T09:19:34.0538932Z 
2025-12-04T09:19:34.0539069Z Or undo this operation with:
2025-12-04T09:19:34.0539375Z 
2025-12-04T09:19:34.0539480Z   git switch -
2025-12-04T09:19:34.0539669Z 
2025-12-04T09:19:34.0540077Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T09:19:34.0540719Z 
2025-12-04T09:19:34.0541205Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T09:19:34.0612537Z ##[endgroup]
2025-12-04T09:19:34.0613142Z ##[group]Setting up auth for fetching submodules
2025-12-04T09:19:34.0619901Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:19:34.0672664Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T09:19:34.0701952Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T09:19:34.0730616Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T09:19:34.0757073Z ##[endgroup]
2025-12-04T09:19:34.0757612Z ##[group]Fetching submodules
2025-12-04T09:19:34.0760155Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T09:19:34.1108869Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T09:19:34.1452138Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T09:19:34.1454136Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T09:19:34.1456105Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T09:19:34.1458634Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T09:19:34.1461530Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T09:19:34.1464946Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T09:19:34.1467904Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T09:19:34.1471105Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T09:19:34.1475050Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T09:19:34.1478465Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T09:19:34.1482373Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T09:19:34.1485804Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T09:19:34.1489503Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T09:19:34.1493275Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T09:19:34.1497692Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T09:19:34.1502770Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T09:19:34.1508656Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T09:19:34.1513008Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T09:19:34.1517459Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:19:34.1521704Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T09:19:34.1526332Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T09:19:34.1530847Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T09:19:34.1535646Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T09:19:34.1540428Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T09:19:34.1545328Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T09:19:34.1550424Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T09:19:34.1555469Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T09:19:34.1560594Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T09:19:34.1566198Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T09:19:34.1571352Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T09:19:34.1576882Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T09:19:34.1582417Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T09:19:34.1588307Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T09:19:34.1595136Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T09:19:34.1601689Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T09:19:34.1607565Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T09:19:34.1613767Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T09:19:34.1650380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T09:19:34.3966390Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T09:19:34.3967880Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T09:19:34.3969214Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T09:19:34.3995965Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T09:19:37.8634829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T09:19:37.8636392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T09:19:37.8637874Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T09:19:37.8639901Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T09:19:37.8641976Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T09:19:37.8643911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T09:19:37.8646037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T09:19:37.8647634Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T09:19:37.8649258Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T09:19:37.8650830Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T09:19:37.8652798Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T09:19:37.8654560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T09:19:37.8656184Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T09:19:37.8658063Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T09:19:37.8659915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T09:19:37.8661743Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T09:19:37.8896514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T09:19:38.2280215Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T09:19:38.2282327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T09:19:38.3281242Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T09:19:38.6538688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T09:19:38.7546939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T09:19:41.6775727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T09:19:41.6777285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T09:19:41.6778758Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T09:19:41.6780234Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T09:19:41.7777627Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T09:20:01.4200696Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T09:20:01.4201668Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T09:20:01.4202513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T09:20:01.4203527Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T09:20:01.4204302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T09:20:01.4576676Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T09:20:01.5073984Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T09:20:01.5293285Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T09:20:01.5902184Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T09:20:01.6814778Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T09:20:01.7419516Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T09:20:02.5255910Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T09:20:02.7244176Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T09:20:02.7266891Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:20:02.7299710Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T09:20:08.1043623Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T09:20:08.1304364Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T09:20:08.5082934Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:08.5633070Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T09:20:08.6655692Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T09:20:08.7168296Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T09:20:09.4257462Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T09:20:09.5900308Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T09:20:09.5924973Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T09:20:09.5927944Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:20:09.5930760Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:20:09.5933717Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T09:20:09.5936842Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T09:20:09.5940145Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:20:09.5943327Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T09:20:09.5976303Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T09:20:10.9052512Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T09:20:10.9054498Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T09:20:10.9056569Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T09:20:11.0053890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T09:20:14.5832109Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T09:20:14.6833061Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T09:20:17.5203468Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T09:20:17.8960763Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:18.0028036Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T09:20:18.6691750Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T09:20:18.7185727Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:18.7319112Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T09:20:18.8389751Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T09:20:18.9160012Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T09:20:18.9180855Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:20:18.9183506Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:20:18.9216080Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T09:20:23.6656864Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T09:20:23.9233442Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T09:20:24.5162486Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T09:20:24.6654523Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T09:20:24.6978078Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T09:20:24.7424346Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T09:20:24.7703388Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T09:20:24.8201841Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:24.8346433Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T09:20:24.8365579Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T09:20:24.8396271Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T09:20:40.5861160Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T09:20:40.6081442Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T09:20:40.6984244Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T09:20:40.7007214Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:20:40.7011007Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:20:40.7012409Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:20:40.7043789Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T09:20:41.4629582Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T09:20:42.0844648Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T09:20:42.1815079Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T09:20:42.1835153Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:20:42.1837995Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:20:42.1840932Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:20:42.1844088Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:20:42.1847165Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:20:42.1850540Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:20:42.1853874Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:20:42.1857326Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:20:42.1861014Z 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'
2025-12-04T09:20:42.1894949Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T09:20:44.3746653Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T09:20:44.3748069Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T09:20:44.3749376Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T09:20:44.3750624Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T09:20:44.3751859Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T09:20:44.3753124Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T09:20:44.3754391Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T09:20:44.4746476Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T09:20:50.3828346Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T09:20:50.4040769Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T09:20:50.4444258Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T09:20:50.4598294Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T09:20:50.4616924Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:20:50.4648018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T09:20:50.9874465Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T09:20:51.0083990Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T09:20:51.0578310Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:51.1659535Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T09:20:51.1848582Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T09:20:51.2041437Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T09:20:51.2061088Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:20:51.2064293Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:20:51.2096338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:20:53.3410514Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:20:53.6124534Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T09:20:53.6624669Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:20:53.6968583Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T09:20:53.7446072Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:53.8012789Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T09:20:53.8430429Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T09:20:53.9501169Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T09:20:54.3784278Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T09:20:54.3825070Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T09:20:54.3857141Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T09:20:55.2882429Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T09:20:55.3666171Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T09:20:55.3688717Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:20:55.3691095Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:20:55.3694103Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:20:55.3697220Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:20:55.3700461Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:20:55.3703473Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:20:55.3706834Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:20:55.3710133Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:20:55.3742459Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T09:20:55.8133689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T09:20:55.8135886Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T09:20:55.8138018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T09:20:55.8139991Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T09:20:55.9134853Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T09:20:56.6028854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T09:21:04.4058101Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T09:21:05.1418714Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T09:21:05.1854723Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T09:21:05.2039838Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T09:21:05.3135686Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T09:21:05.3289167Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T09:21:05.3454103Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T09:21:05.3629691Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T09:21:05.3648087Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:05.3650900Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:05.3681071Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:21:07.4991836Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:21:07.7624016Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T09:21:07.8125733Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:21:08.3126294Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T09:21:08.3257222Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T09:21:08.6114907Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T09:21:08.6140122Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:08.6143079Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:08.6175324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T09:21:09.1556062Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T09:21:09.5763912Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T09:21:09.6528714Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T09:21:09.6639401Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T09:21:09.6776630Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T09:21:09.7237907Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T09:21:09.7544418Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T09:21:09.8008479Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T09:21:09.8301531Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T09:21:09.8321228Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:09.8323940Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:09.8327237Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:09.8330270Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:09.8362177Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T09:21:11.1379792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T09:21:11.1380863Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
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2025-12-04T09:21:11.9666609Z ##[endgroup]
2025-12-04T09:21:11.9667192Z ##[group]Persisting credentials for submodules
2025-12-04T09:21:11.9673078Z [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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2025-12-04T09:21:12.5357730Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:12.5439352Z [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"
2025-12-04T09:21:12.5781442Z Entering 'android/libs/fbjni'
2025-12-04T09:21:12.5845411Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
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2025-12-04T09:21:12.6500538Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
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2025-12-04T09:21:12.6753334Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
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2025-12-04T09:21:13.3866394Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-12-04T09:21:13.5287258Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:13.5334090Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:13.5381532Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:13.5433013Z Entering 'third_party/flash-attention'
2025-12-04T09:21:13.5484008Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:13.5539022Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:13.5598210Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:13.5650291Z Entering 'third_party/fmt'
2025-12-04T09:21:13.5703829Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:13.5753126Z Entering 'third_party/gloo'
2025-12-04T09:21:13.5805039Z Entering 'third_party/googletest'
2025-12-04T09:21:13.5854219Z Entering 'third_party/ideep'
2025-12-04T09:21:13.5902796Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:13.5957274Z Entering 'third_party/ittapi'
2025-12-04T09:21:13.6007304Z Entering 'third_party/kineto'
2025-12-04T09:21:13.6055064Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:13.6103271Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:13.6151995Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:13.6201077Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:13.6248412Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
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2025-12-04T09:21:13.6441670Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:13.6490410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:13.6538477Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:13.6585818Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:13.6637440Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:13.6689218Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:13.6741199Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:13.6791808Z Entering 'third_party/kleidiai'
2025-12-04T09:21:13.6842007Z Entering 'third_party/mimalloc'
2025-12-04T09:21:13.6891952Z Entering 'third_party/nlohmann'
2025-12-04T09:21:13.6943505Z Entering 'third_party/onnx'
2025-12-04T09:21:13.7016423Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:13.7066751Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:13.7119828Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:13.7166661Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:13.7214408Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:13.7262603Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:13.7311287Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:13.7360166Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:13.7408042Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:13.7453530Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:13.7507111Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:13.7557821Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:13.7628585Z Entering 'third_party/pocketfft'
2025-12-04T09:21:13.7679204Z Entering 'third_party/protobuf'
2025-12-04T09:21:13.7735177Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:13.7783050Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:13.7835209Z Entering 'third_party/psimd'
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2025-12-04T09:21:13.7935078Z Entering 'third_party/pybind11'
2025-12-04T09:21:13.7983714Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:13.8034036Z Entering 'third_party/sleef'
2025-12-04T09:21:13.8082524Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:13.8132278Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-12-04T09:21:13.8226490Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:13.8275554Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:13.8323199Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:13.8387570Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T09:21:13.8732262Z Entering 'android/libs/fbjni'
2025-12-04T09:21:13.8783248Z Entering 'third_party/FP16'
2025-12-04T09:21:13.8833854Z Entering 'third_party/FXdiv'
2025-12-04T09:21:13.8881935Z Entering 'third_party/NNPACK'
2025-12-04T09:21:13.8933087Z Entering 'third_party/NVTX'
2025-12-04T09:21:13.8982024Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:13.9031315Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:13.9095078Z Entering 'third_party/aiter'
2025-12-04T09:21:13.9148061Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:13.9205778Z Entering 'third_party/benchmark'
2025-12-04T09:21:13.9255518Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:13.9314928Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:13.9363938Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:13.9413973Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:13.9466363Z Entering 'third_party/cutlass'
2025-12-04T09:21:13.9525911Z Entering 'third_party/fbgemm'
2025-12-04T09:21:13.9578468Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:13.9626077Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:13.9683650Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:13.9733051Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:13.9790464Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:13.9839925Z Entering 'third_party/fbgemm/external/hipify_torch'
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2025-12-04T09:21:13.9939815Z Entering 'third_party/flash-attention'
2025-12-04T09:21:13.9989287Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:14.0042499Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:14.0103118Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:14.0155322Z Entering 'third_party/fmt'
2025-12-04T09:21:14.0207194Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:14.0256691Z Entering 'third_party/gloo'
2025-12-04T09:21:14.0306758Z Entering 'third_party/googletest'
2025-12-04T09:21:14.0354921Z Entering 'third_party/ideep'
2025-12-04T09:21:14.0403145Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:14.0458355Z Entering 'third_party/ittapi'
2025-12-04T09:21:14.0507973Z Entering 'third_party/kineto'
2025-12-04T09:21:14.0556809Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:14.0605673Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:14.0654591Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:14.0703683Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:14.0752532Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:14.0800608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:14.0849937Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:14.0897865Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:14.0945384Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:14.0998305Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:14.1045897Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:14.1093016Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:14.1144153Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:14.1195975Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:14.1244301Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:14.1293960Z Entering 'third_party/kleidiai'
2025-12-04T09:21:14.1343632Z Entering 'third_party/mimalloc'
2025-12-04T09:21:14.1392518Z Entering 'third_party/nlohmann'
2025-12-04T09:21:14.1445064Z Entering 'third_party/onnx'
2025-12-04T09:21:14.1513873Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:14.1565082Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:14.1616668Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:14.1663969Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:14.1713198Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:14.1760023Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:14.1809081Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:14.1857233Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:14.1905634Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:14.1951600Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:14.2003905Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:14.2052990Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:14.2127934Z Entering 'third_party/pocketfft'
2025-12-04T09:21:14.2176395Z Entering 'third_party/protobuf'
2025-12-04T09:21:14.2230416Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:14.2277096Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:14.2328115Z Entering 'third_party/psimd'
2025-12-04T09:21:14.2377266Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:14.2426837Z Entering 'third_party/pybind11'
2025-12-04T09:21:14.2475914Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:14.2526044Z Entering 'third_party/sleef'
2025-12-04T09:21:14.2574475Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:14.2627552Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:14.2674154Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:14.2721178Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:14.2769648Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:14.2817175Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:14.2878189Z ##[endgroup]
2025-12-04T09:21:14.2914951Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T09:21:14.2938921Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:14.3038093Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:14.3038478Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:14.3038800Z # Clean stale submodule dirs
2025-12-04T09:21:14.3039143Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:21:14.3039580Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:14.3039985Z else
2025-12-04T09:21:14.3040444Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:14.3040841Z fi
2025-12-04T09:21:14.3050205Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:14.3050624Z env:
2025-12-04T09:21:14.3050862Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:14.3051134Z   NO_SUDO: true
2025-12-04T09:21:14.3051373Z ##[endgroup]
2025-12-04T09:21:14.3417324Z Entering 'android/libs/fbjni'
2025-12-04T09:21:14.3455172Z Entering 'third_party/FP16'
2025-12-04T09:21:14.3492061Z Entering 'third_party/FXdiv'
2025-12-04T09:21:14.3527506Z Entering 'third_party/NNPACK'
2025-12-04T09:21:14.3567620Z Entering 'third_party/NVTX'
2025-12-04T09:21:14.3612869Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:14.3651036Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:14.3780882Z Entering 'third_party/aiter'
2025-12-04T09:21:14.3829807Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:14.3949927Z Entering 'third_party/benchmark'
2025-12-04T09:21:14.3988379Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:14.4115297Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:14.4154054Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:14.4196002Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:14.4235676Z Entering 'third_party/cutlass'
2025-12-04T09:21:14.4345599Z Entering 'third_party/fbgemm'
2025-12-04T09:21:14.4412557Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:14.4447347Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:14.4569363Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:14.4609339Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:14.4713244Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:14.4750706Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:14.4784270Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:14.4832685Z Entering 'third_party/flash-attention'
2025-12-04T09:21:14.4879112Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:14.4982768Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:14.5077383Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:14.5154090Z Entering 'third_party/fmt'
2025-12-04T09:21:14.5191316Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:14.5228948Z Entering 'third_party/gloo'
2025-12-04T09:21:14.5266715Z Entering 'third_party/googletest'
2025-12-04T09:21:14.5306339Z Entering 'third_party/ideep'
2025-12-04T09:21:14.5340337Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:14.5433649Z Entering 'third_party/ittapi'
2025-12-04T09:21:14.5472031Z Entering 'third_party/kineto'
2025-12-04T09:21:14.5513096Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:14.5554411Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:14.5604220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:14.5639276Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:14.5675306Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:14.5708520Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:14.5743995Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:14.5779645Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:14.5816797Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:14.5861313Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:14.5896584Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:14.5932084Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:14.5987540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:14.6029048Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:14.6064337Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:14.6102533Z Entering 'third_party/kleidiai'
2025-12-04T09:21:14.6146127Z Entering 'third_party/mimalloc'
2025-12-04T09:21:14.6184244Z Entering 'third_party/nlohmann'
2025-12-04T09:21:14.6233473Z Entering 'third_party/onnx'
2025-12-04T09:21:14.6572486Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:14.6612513Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:14.6672858Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:14.6708655Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:14.6746001Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:14.6780093Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:14.6826454Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:14.6861374Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:14.6896915Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:14.6931811Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:14.6982195Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:14.7026632Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:14.7293340Z Entering 'third_party/pocketfft'
2025-12-04T09:21:14.7329408Z Entering 'third_party/protobuf'
2025-12-04T09:21:14.7413028Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:14.7447120Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:14.7487517Z Entering 'third_party/psimd'
2025-12-04T09:21:14.7527154Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:14.7562845Z Entering 'third_party/pybind11'
2025-12-04T09:21:14.7604761Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:14.7640732Z Entering 'third_party/sleef'
2025-12-04T09:21:14.7680399Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:14.7721226Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:14.7758361Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:14.7793273Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:14.7833417Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:14.7868797Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:14.8036041Z Prepare all required actions
2025-12-04T09:21:14.8036627Z Getting action download info
2025-12-04T09:21:14.9450405Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T09:21:14.9450764Z env:
2025-12-04T09:21:14.9450998Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:14.9451279Z ##[endgroup]
2025-12-04T09:21:14.9490254Z ##[group]Run set -euo pipefail
2025-12-04T09:21:14.9490626Z set -euo pipefail
2025-12-04T09:21:14.9490943Z function get_ec2_metadata() {
2025-12-04T09:21:14.9491361Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T09:21:14.9492037Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T09:21:14.9492647Z   category=$1
2025-12-04T09:21:14.9493043Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T09:21:14.9493503Z   runner_name_str=i-035d8389914ce5d08
2025-12-04T09:21:14.9494279Z   if [[ -f /.inarc ]]; then
2025-12-04T09:21:14.9494643Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T09:21:14.9495062Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T09:21:14.9495584Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T09:21:14.9496047Z   else
2025-12-04T09:21:14.9496971Z     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}"
2025-12-04T09:21:14.9497961Z   fi
2025-12-04T09:21:14.9498191Z }
2025-12-04T09:21:14.9498476Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T09:21:14.9498926Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T09:21:14.9499445Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T09:21:14.9499896Z echo "system info $(uname -a)"
2025-12-04T09:21:14.9506915Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:14.9507328Z env:
2025-12-04T09:21:14.9507563Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:14.9507833Z ##[endgroup]
2025-12-04T09:21:14.9662721Z ami-id: ami-08982f1c5bf93d976
2025-12-04T09:21:14.9790562Z instance-id: i-035d8389914ce5d08
2025-12-04T09:21:14.9898034Z instance-type: c5.4xlarge
2025-12-04T09:21:14.9910796Z system info Linux ip-10-0-2-212.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T09:21:14.9936409Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:14.9937456Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:14.9948489Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:14.9949514Z env:
2025-12-04T09:21:14.9950036Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:14.9950687Z ##[endgroup]
2025-12-04T09:21:15.0029016Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:15.0030052Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:15.0036295Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:15.0036710Z env:
2025-12-04T09:21:15.0036949Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:15.0037219Z ##[endgroup]
2025-12-04T09:21:15.0238677Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T09:21:15.0239389Z if systemctl is-active --quiet docker; then
2025-12-04T09:21:15.0240016Z     echo "Docker daemon is running...";
2025-12-04T09:21:15.0240522Z else
2025-12-04T09:21:15.0241065Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T09:21:15.0241777Z fi
2025-12-04T09:21:15.0247749Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:15.0248360Z env:
2025-12-04T09:21:15.0248622Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:15.0248995Z ##[endgroup]
2025-12-04T09:21:15.0336760Z Docker daemon is running...
2025-12-04T09:21:15.0376624Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:21:15.0376947Z with:
2025-12-04T09:21:15.0377166Z   shell: bash
2025-12-04T09:21:15.0377403Z   timeout_minutes: 5
2025-12-04T09:21:15.0377666Z   max_attempts: 3
2025-12-04T09:21:15.0377916Z   retry_wait_seconds: 30
2025-12-04T09:21:15.0380402Z   command: AWS_ACCOUNT_ID=$(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

2025-12-04T09:21:15.0382904Z   polling_interval_seconds: 1
2025-12-04T09:21:15.0383223Z   warning_on_retry: true
2025-12-04T09:21:15.0383515Z   continue_on_error: false
2025-12-04T09:21:15.0383772Z env:
2025-12-04T09:21:15.0383996Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:15.0384287Z   AWS_RETRY_MODE: standard
2025-12-04T09:21:15.0384552Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T09:21:15.0384824Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:21:15.0385116Z ##[endgroup]
2025-12-04T09:21:16.2367863Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:16.2368546Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:16.2369283Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:16.2369726Z 
2025-12-04T09:21:16.2369828Z Login Succeeded
2025-12-04T09:21:17.1262351Z Command completed after 1 attempt(s).
2025-12-04T09:21:17.1314982Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:17.1315542Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:17.1316214Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:17.1322976Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.1323378Z env:
2025-12-04T09:21:17.1323616Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.1323898Z ##[endgroup]
2025-12-04T09:21:17.1448395Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:17.1449355Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:17.1450099Z # shellcheck disable=SC2046
2025-12-04T09:21:17.1450611Z docker stop $(docker ps -q) || true
2025-12-04T09:21:17.1451168Z # Prune all of the docker images
2025-12-04T09:21:17.1451698Z docker system prune -af
2025-12-04T09:21:17.1457849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.1458451Z env:
2025-12-04T09:21:17.1458735Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.1459133Z ##[endgroup]
2025-12-04T09:21:17.1930173Z "docker stop" requires at least 1 argument.
2025-12-04T09:21:17.1930742Z See 'docker stop --help'.
2025-12-04T09:21:17.1931032Z 
2025-12-04T09:21:17.1931275Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T09:21:17.1931762Z 
2025-12-04T09:21:17.1931904Z Stop one or more running containers
2025-12-04T09:21:17.2157134Z Total reclaimed space: 0B
2025-12-04T09:21:17.2347885Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T09:21:17.2348406Z with:
2025-12-04T09:21:17.2349279Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2350255Z   use-custom-docker-registry: true
2025-12-04T09:21:17.2350604Z   docker-build-dir: .ci/docker
2025-12-04T09:21:17.2350932Z   docker-build-script: ./build.sh
2025-12-04T09:21:17.2351261Z   working-directory: .
2025-12-04T09:21:17.2351646Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:17.2352086Z   force-push: false
2025-12-04T09:21:17.2352332Z env:
2025-12-04T09:21:17.2352544Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.2352822Z ##[endgroup]
2025-12-04T09:21:17.2389511Z ##[group]Run set -ex
2025-12-04T09:21:17.2389829Z set -ex
2025-12-04T09:21:17.2390072Z 
2025-12-04T09:21:17.2390554Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T09:21:17.2391270Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T09:21:17.2391893Z # job could then download the pre-built image as usual
2025-12-04T09:21:17.2392645Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T09:21:17.2393346Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2393979Z else
2025-12-04T09:21:17.2394265Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2394751Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2395179Z 
2025-12-04T09:21:17.2395782Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T09:21:17.2396480Z   exit 0
2025-12-04T09:21:17.2396718Z fi
2025-12-04T09:21:17.2396928Z 
2025-12-04T09:21:17.2397294Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T09:21:17.2397952Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T09:21:17.2398524Z   # use it as it is, but first let's extract the tag
2025-12-04T09:21:17.2399054Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T09:21:17.2399761Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2400294Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2400722Z else
2025-12-04T09:21:17.2401003Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T09:21:17.2401419Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T09:21:17.2401850Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T09:21:17.2402201Z   fi
2025-12-04T09:21:17.2402691Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T09:21:17.2403356Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2404043Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2404810Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2405277Z fi
2025-12-04T09:21:17.2411504Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.2411910Z env:
2025-12-04T09:21:17.2412139Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.2412412Z   REPO_NAME: pytorch
2025-12-04T09:21:17.2413459Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2414423Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:17.2414734Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T09:21:17.2415133Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:17.2415574Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T09:21:17.2415893Z   CUSTOM_TAG_PREFIX: 
2025-12-04T09:21:17.2416142Z ##[endgroup]
2025-12-04T09:21:17.2443449Z + [[ -d .ci/docker ]]
2025-12-04T09:21:17.2443742Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T09:21:17.2444049Z + [[ true == \t\r\u\e ]]
2025-12-04T09:21:17.2444341Z + echo skip=false
2025-12-04T09:21:17.2445788Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-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* ]]
2025-12-04T09:21:17.2452038Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2453381Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T09:21:17.2538813Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2539798Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2541147Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2565212Z ##[group]Run set +e
2025-12-04T09:21:17.2565540Z set +e
2025-12-04T09:21:17.2565788Z set -x
2025-12-04T09:21:17.2566030Z 
2025-12-04T09:21:17.2566245Z login() {
2025-12-04T09:21:17.2566759Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:17.2567326Z }
2025-12-04T09:21:17.2567543Z 
2025-12-04T09:21:17.2567765Z retry () {
2025-12-04T09:21:17.2568053Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:17.2568379Z }
2025-12-04T09:21:17.2568606Z 
2025-12-04T09:21:17.2568847Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:17.2569160Z 
2025-12-04T09:21:17.2569392Z START_TIME=$(date +%s)
2025-12-04T09:21:17.2569703Z # Wait up to 120 minutes
2025-12-04T09:21:17.2570078Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T09:21:17.2570768Z   # Check if image already exists, if it does then skip building it
2025-12-04T09:21:17.2571302Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T09:21:17.2571693Z     exit 0
2025-12-04T09:21:17.2571929Z   fi
2025-12-04T09:21:17.2572149Z 
2025-12-04T09:21:17.2572563Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T09:21:17.2573283Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T09:21:17.2574007Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T09:21:17.2574573Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T09:21:17.2575005Z     # It's a Docker build job, let's build the image
2025-12-04T09:21:17.2575364Z     break
2025-12-04T09:21:17.2575609Z   else
2025-12-04T09:21:17.2575967Z     # It's a regular build job, wait for the image to become available
2025-12-04T09:21:17.2576406Z     sleep 300
2025-12-04T09:21:17.2576661Z   fi
2025-12-04T09:21:17.2576877Z done
2025-12-04T09:21:17.2577087Z 
2025-12-04T09:21:17.2577457Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T09:21:17.2578171Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T09:21:17.2578729Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T09:21:17.2579203Z   # if we're on the base branch then use the parent commit
2025-12-04T09:21:17.2579638Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T09:21:17.2579963Z else
2025-12-04T09:21:17.2580296Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T09:21:17.2580806Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T09:21:17.2581191Z fi
2025-12-04T09:21:17.2581413Z 
2025-12-04T09:21:17.2581638Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T09:21:17.2582018Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2582364Z 
2025-12-04T09:21:17.2582849Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T09:21:17.2583446Z   exit 0
2025-12-04T09:21:17.2583681Z fi
2025-12-04T09:21:17.2583890Z 
2025-12-04T09:21:17.2584224Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T09:21:17.2584971Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T09:21:17.2585753Z   exit 1
2025-12-04T09:21:17.2585979Z fi
2025-12-04T09:21:17.2586204Z 
2025-12-04T09:21:17.2586597Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T09:21:17.2587315Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T09:21:17.2587961Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T09:21:17.2588709Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T09:21:17.2589549Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T09:21:17.2590031Z fi
2025-12-04T09:21:17.2590254Z 
2025-12-04T09:21:17.2590532Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:17.2597182Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.2597591Z env:
2025-12-04T09:21:17.2597825Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.2598110Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:17.2598485Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:17.2599610Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2600858Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:17.2601588Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:17.2602020Z   DOCKER_PUSH: 
2025-12-04T09:21:17.2602266Z ##[endgroup]
2025-12-04T09:21:17.2629517Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:17.2629994Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:17.2632491Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:17.2633853Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:17.8155758Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:17.8156443Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:17.8157105Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:17.8157529Z 
2025-12-04T09:21:17.8157631Z Login Succeeded
2025-12-04T09:21:17.8173780Z ++ date +%s
2025-12-04T09:21:17.8184929Z + START_TIME=1764840077
2025-12-04T09:21:17.8188486Z ++ date +%s
2025-12-04T09:21:17.8200026Z + [[ 1764832877 -lt 1764840077 ]]
2025-12-04T09:21:17.8201043Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
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2025-12-04T09:21:18.0502693Z 			"digest": "sha256:701b34f115fa897181c046dc37288e87cbc3ad74c36a9e2224b5bfe7c5703afb"
2025-12-04T09:21:18.0503203Z 		},
2025-12-04T09:21:18.0503403Z 		{
2025-12-04T09:21:18.0503750Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:18.0504187Z 			"size": 7944,
2025-12-04T09:21:18.0504629Z 			"digest": "sha256:39cefc00ffedebc9098261c798408b87a20c95a88fccb110594077f48dadf760"
2025-12-04T09:21:18.0505148Z 		},
2025-12-04T09:21:18.0505336Z 		{
2025-12-04T09:21:18.0505749Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:18.0506199Z 			"size": 8071,
2025-12-04T09:21:18.0506626Z 			"digest": "sha256:6ae51eb61a325b2c2995a5088c81aa20821b75be65b5aa722c7c40556b5d03ea"
2025-12-04T09:21:18.0507132Z 		},
2025-12-04T09:21:18.0507341Z 		{
2025-12-04T09:21:18.0507674Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:18.0508116Z 			"size": 304,
2025-12-04T09:21:18.0508555Z 			"digest": "sha256:1fd5341e66dfc0c1ae23af014641a92a6fd02640c528fe6d4dc55921ed659a26"
2025-12-04T09:21:18.0509070Z 		},
2025-12-04T09:21:18.0509258Z 		{
2025-12-04T09:21:18.0509608Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:18.0510059Z 			"size": 13364291,
2025-12-04T09:21:18.0510502Z 			"digest": "sha256:72a7c87e35e40ab796f90aee1b51add7902f0cdc44406d2505b6c6a1f55a8da6"
2025-12-04T09:21:18.0511110Z 		},
2025-12-04T09:21:18.0511315Z 		{
2025-12-04T09:21:18.0511653Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:18.0512101Z 			"size": 108,
2025-12-04T09:21:18.0512550Z 			"digest": "sha256:ec36862ac98ebaac52ee1a8b1d162d45bd0e3bf59ae7e19c8f80ad3960b4c600"
2025-12-04T09:21:18.0513056Z 		},
2025-12-04T09:21:18.0513259Z 		{
2025-12-04T09:21:18.0513619Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:18.0514053Z 			"size": 54145699,
2025-12-04T09:21:18.0514507Z 			"digest": "sha256:05ddbf246e8add0e293474dbf88bb028d5a295a25ac59e8648a18db644377773"
2025-12-04T09:21:18.0515015Z 		},
2025-12-04T09:21:18.0515216Z 		{
2025-12-04T09:21:18.0515555Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:18.0515999Z 			"size": 32,
2025-12-04T09:21:18.0516443Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T09:21:18.0516945Z 		}
2025-12-04T09:21:18.0517153Z 	]
2025-12-04T09:21:18.0517356Z }
2025-12-04T09:21:18.0517567Z + exit 0
2025-12-04T09:21:18.0546048Z ##[group]Run set -eux
2025-12-04T09:21:18.0546335Z set -eux
2025-12-04T09:21:18.0546777Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T09:21:18.0549263Z 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
2025-12-04T09:21:18.0556254Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:18.0556654Z env:
2025-12-04T09:21:18.0556876Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:18.0557138Z ##[endgroup]
2025-12-04T09:21:18.0589618Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T09:21:18.0590353Z + jq --raw-output .SecretString
2025-12-04T09:21:18.0591717Z + jq -r .docker_hub_readonly_token
2025-12-04T09:21:18.0593002Z + docker login --username pytorchbot --password-stdin
2025-12-04T09:21:18.6378613Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:18.6379303Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:18.6380188Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:18.6380834Z 
2025-12-04T09:21:18.6381023Z Login Succeeded
2025-12-04T09:21:18.6468677Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:18.6469099Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:18.6469524Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T09:21:18.6475768Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:18.6476177Z env:
2025-12-04T09:21:18.6476406Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:18.6477328Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:18.6478298Z ##[endgroup]
2025-12-04T09:21:18.6508151Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:18.6555077Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T09:21:18.6555540Z with:
2025-12-04T09:21:18.6556382Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:18.6557428Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:18.6557846Z env:
2025-12-04T09:21:18.6558060Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:18.6558334Z ##[endgroup]
2025-12-04T09:21:18.6599108Z ##[group]Run set -x
2025-12-04T09:21:18.6599424Z set -x
2025-12-04T09:21:18.6599656Z set +e
2025-12-04T09:21:18.6599896Z 
2025-12-04T09:21:18.6600126Z login() {
2025-12-04T09:21:18.6600766Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:18.6601332Z }
2025-12-04T09:21:18.6601562Z 
2025-12-04T09:21:18.6601827Z retry () {
2025-12-04T09:21:18.6602106Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:18.6602446Z }
2025-12-04T09:21:18.6602668Z 
2025-12-04T09:21:18.6602917Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:18.6603243Z 
2025-12-04T09:21:18.6603776Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T09:21:18.6604498Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T09:21:18.6604892Z 
2025-12-04T09:21:18.6605115Z set -e
2025-12-04T09:21:18.6605481Z # ignore output since only exit code is used for conditional
2025-12-04T09:21:18.6606013Z # only pull docker image if it's not available locally
2025-12-04T09:21:18.6606595Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T09:21:18.6607145Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T09:21:18.6607489Z fi
2025-12-04T09:21:18.6613119Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:18.6613530Z env:
2025-12-04T09:21:18.6613760Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:18.6614640Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:18.6615681Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:18.6616103Z ##[endgroup]
2025-12-04T09:21:18.6642390Z + set +e
2025-12-04T09:21:18.6643067Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:18.6643575Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:18.6646652Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:18.6647742Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:19.2255697Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:19.2256874Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:19.2257887Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:19.2258600Z 
2025-12-04T09:21:19.2258718Z Login Succeeded
2025-12-04T09:21:19.2276031Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.2277827Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T09:21:19.4212998Z + IMAGE_SIZE=15091.581844329834
2025-12-04T09:21:19.4213855Z + echo 'Compressed size of image in MB: 15091.581844329834'
2025-12-04T09:21:19.4214753Z + set -e
2025-12-04T09:21:19.4215285Z Compressed size of image in MB: 15091.581844329834
2025-12-04T09:21:19.4217670Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.4360804Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.4362371Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.6681606Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T09:21:19.6682984Z 63e5bc7682b8: Pulling fs layer
2025-12-04T09:21:19.6683301Z 0678d56345c9: Pulling fs layer
2025-12-04T09:21:19.6683775Z 45f5c9ddfce7: Pulling fs layer
2025-12-04T09:21:19.6684293Z 086b1df51ac1: Pulling fs layer
2025-12-04T09:21:19.6684780Z fe8a7b64bf98: Pulling fs layer
2025-12-04T09:21:19.6685086Z 7680723e9a57: Pulling fs layer
2025-12-04T09:21:19.6685561Z 9c5027aeeb4e: Pulling fs layer
2025-12-04T09:21:19.6685863Z 9a5652110360: Pulling fs layer
2025-12-04T09:21:19.6686279Z 375c4427e914: Pulling fs layer
2025-12-04T09:21:19.6686635Z a86faaa7dbdd: Pulling fs layer
2025-12-04T09:21:19.6686944Z fb7848686804: Pulling fs layer
2025-12-04T09:21:19.6687424Z 3541df015cdb: Pulling fs layer
2025-12-04T09:21:19.6687711Z 79dc80f426b2: Pulling fs layer
2025-12-04T09:21:19.6691544Z a13fcc1b90bb: Pulling fs layer
2025-12-04T09:21:19.6691933Z 4f4fb700ef54: Pulling fs layer
2025-12-04T09:21:19.6692246Z 549db4d6c618: Pulling fs layer
2025-12-04T09:21:19.6692538Z 5c63528cb580: Pulling fs layer
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2025-12-04T09:21:19.6707124Z e13ed7c7e473: Pulling fs layer
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2025-12-04T09:21:19.6707841Z 14d69d9aaec7: Pulling fs layer
2025-12-04T09:21:19.6708154Z 5c02769dd8e5: Pulling fs layer
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2025-12-04T09:21:19.6709074Z 2fa92dc5885e: Pulling fs layer
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2025-12-04T09:21:19.6710390Z 11ede4d59e93: Pulling fs layer
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2025-12-04T09:21:19.6711014Z 024fa855425f: Pulling fs layer
2025-12-04T09:21:19.6711314Z 303e6747a62e: Pulling fs layer
2025-12-04T09:21:19.6711614Z 3017cdf4838b: Pulling fs layer
2025-12-04T09:21:19.6711907Z 6b6cd1c358e8: Pulling fs layer
2025-12-04T09:21:19.6712216Z b2dd04501124: Pulling fs layer
2025-12-04T09:21:19.6712525Z 55adc51fe589: Pulling fs layer
2025-12-04T09:21:19.6712816Z a43ca0e4b837: Pulling fs layer
2025-12-04T09:21:19.6713130Z b7212f17fd14: Pulling fs layer
2025-12-04T09:21:19.6713569Z 083e42cac090: Pulling fs layer
2025-12-04T09:21:19.6713911Z 0a00b784a4aa: Pulling fs layer
2025-12-04T09:21:19.6714196Z c6173c779f7b: Pulling fs layer
2025-12-04T09:21:19.6714498Z ed3d1e3387b9: Pulling fs layer
2025-12-04T09:21:19.6714794Z b29343478586: Pulling fs layer
2025-12-04T09:21:19.6715075Z c6f0520487fb: Pulling fs layer
2025-12-04T09:21:19.6715375Z 148171691cd4: Pulling fs layer
2025-12-04T09:21:19.6715673Z 2c666d30ed77: Pulling fs layer
2025-12-04T09:21:19.6715958Z 5d8d3a0a98e0: Pulling fs layer
2025-12-04T09:21:19.6716260Z b06bafce9e81: Pulling fs layer
2025-12-04T09:21:19.6716561Z 15e0d7e4590d: Pulling fs layer
2025-12-04T09:21:19.6716849Z a514bd1add31: Pulling fs layer
2025-12-04T09:21:19.6717151Z 57b84ee60002: Pulling fs layer
2025-12-04T09:21:19.6717455Z b8babeff6d81: Pulling fs layer
2025-12-04T09:21:19.6717746Z 83779ddf6a85: Pulling fs layer
2025-12-04T09:21:19.6718165Z 8b7620c0d736: Pulling fs layer
2025-12-04T09:21:19.6718480Z 3bcfa090e4ef: Pulling fs layer
2025-12-04T09:21:19.6718838Z eb0504ec4d92: Pulling fs layer
2025-12-04T09:21:19.6719133Z 15d0fec09d7b: Pulling fs layer
2025-12-04T09:21:19.6719615Z cca81fcc62a9: Pulling fs layer
2025-12-04T09:21:19.6720216Z b0b8f9b5c6ab: Pulling fs layer
2025-12-04T09:21:19.6720513Z 7680723e9a57: Waiting
2025-12-04T09:21:19.6720821Z 9a5652110360: Waiting
2025-12-04T09:21:19.6721077Z 375c4427e914: Waiting
2025-12-04T09:21:19.6721370Z 0606ca4d47a8: Pulling fs layer
2025-12-04T09:21:19.6721666Z 086b1df51ac1: Waiting
2025-12-04T09:21:19.6721921Z de6e78970f51: Waiting
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2025-12-04T09:21:19.6722420Z e13ed7c7e473: Waiting
2025-12-04T09:21:19.6722679Z ed3d1e3387b9: Waiting
2025-12-04T09:21:19.6722938Z 2f80a4e1b3b9: Pulling fs layer
2025-12-04T09:21:19.6723229Z fb7848686804: Waiting
2025-12-04T09:21:19.6723479Z 549db4d6c618: Waiting
2025-12-04T09:21:19.6723757Z 4f4fb700ef54: Waiting
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2025-12-04T09:21:19.6724657Z 6e2949bcb741: Waiting
2025-12-04T09:21:19.6724926Z 35c916fb1bd0: Pulling fs layer
2025-12-04T09:21:19.6725222Z 3541df015cdb: Waiting
2025-12-04T09:21:19.6725471Z a514bd1add31: Waiting
2025-12-04T09:21:19.6725732Z b06bafce9e81: Waiting
2025-12-04T09:21:19.6725988Z 79dc80f426b2: Waiting
2025-12-04T09:21:19.6726250Z a86faaa7dbdd: Waiting
2025-12-04T09:21:19.6726510Z 195537b7dafc: Pulling fs layer
2025-12-04T09:21:19.6726805Z a13fcc1b90bb: Waiting
2025-12-04T09:21:19.6727061Z 57b84ee60002: Waiting
2025-12-04T09:21:19.6727384Z 75bd83b989a4: Waiting
2025-12-04T09:21:19.6727654Z dc454fd3967e: Pulling fs layer
2025-12-04T09:21:19.6728015Z 6b6cd1c358e8: Waiting
2025-12-04T09:21:19.6728268Z 701b34f115fa: Pulling fs layer
2025-12-04T09:21:19.6728567Z 39cefc00ffed: Pulling fs layer
2025-12-04T09:21:19.6728859Z 2c666d30ed77: Waiting
2025-12-04T09:21:19.6729112Z 6ae51eb61a32: Pulling fs layer
2025-12-04T09:21:19.6729514Z 1fd5341e66df: Pulling fs layer
2025-12-04T09:21:19.6729823Z 72a7c87e35e4: Pulling fs layer
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2025-12-04T09:21:19.6730478Z 05ddbf246e8a: Pulling fs layer
2025-12-04T09:21:19.6730868Z cca81fcc62a9: Waiting
2025-12-04T09:21:19.6731122Z b7212f17fd14: Waiting
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2025-12-04T09:21:19.6732646Z c6173c779f7b: Waiting
2025-12-04T09:21:19.6732889Z 0a00b784a4aa: Waiting
2025-12-04T09:21:19.6733145Z 1283cd8f801a: Waiting
2025-12-04T09:21:19.6733568Z 39cefc00ffed: Waiting
2025-12-04T09:21:19.6733811Z 148171691cd4: Waiting
2025-12-04T09:21:19.6734062Z 1fd5341e66df: Waiting
2025-12-04T09:21:19.6734320Z 0606ca4d47a8: Waiting
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2025-12-04T09:27:46.4408672Z Digest: sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97
2025-12-04T09:27:46.4458134Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:46.4512245Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:46.4577683Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:46.4578744Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:46.4589128Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:46.4589541Z env:
2025-12-04T09:27:46.4589762Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:46.4590043Z ##[endgroup]
2025-12-04T09:27:46.4797160Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T09:27:46.4797623Z with:
2025-12-04T09:27:46.4797867Z   driver-version: 580.82.07
2025-12-04T09:27:46.4798133Z env:
2025-12-04T09:27:46.4798377Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:46.4798673Z ##[endgroup]
2025-12-04T09:27:46.4816575Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:46.4817739Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:46.4823788Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:46.4824199Z env:
2025-12-04T09:27:46.4824431Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:46.4824705Z ##[endgroup]
2025-12-04T09:27:46.4884591Z ##[group]Run set -euo pipefail
2025-12-04T09:27:46.4884947Z set -euo pipefail
2025-12-04T09:27:46.4885279Z 
2025-12-04T09:27:46.4885501Z has_gpu=false
2025-12-04T09:27:46.4885777Z devices=""
2025-12-04T09:27:46.4886036Z 
2025-12-04T09:27:46.4886326Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T09:27:46.4886822Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:46.4887253Z     has_gpu=true
2025-12-04T09:27:46.4887590Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:46.4887929Z   fi
2025-12-04T09:27:46.4888167Z fi
2025-12-04T09:27:46.4888399Z 
2025-12-04T09:27:46.4888630Z if [ "$has_gpu" = false ]; then
2025-12-04T09:27:46.4889060Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:46.4889479Z     has_gpu=true
2025-12-04T09:27:46.4889800Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:46.4890133Z   fi
2025-12-04T09:27:46.4890365Z fi
2025-12-04T09:27:46.4890593Z 
2025-12-04T09:27:46.4890915Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T09:27:46.4891473Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:46.4891929Z     has_gpu=true
2025-12-04T09:27:46.4892238Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:46.4892588Z   fi
2025-12-04T09:27:46.4892820Z fi
2025-12-04T09:27:46.4893029Z 
2025-12-04T09:27:46.4893358Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:46.4894297Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:46.4900132Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:46.4900529Z env:
2025-12-04T09:27:46.4900769Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:46.4901055Z ##[endgroup]
2025-12-04T09:27:46.6087932Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:27:46.6088368Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:27:46.6088777Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T09:27:46.6089348Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T09:27:46.6089853Z else
2025-12-04T09:27:46.6090143Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T09:27:46.6090527Z fi
2025-12-04T09:27:46.6097094Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:46.6097491Z env:
2025-12-04T09:27:46.6097726Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:46.6098010Z   HAS_NVIDIA: false
2025-12-04T09:27:46.6098244Z ##[endgroup]
2025-12-04T09:27:46.6190424Z Prepare all required actions
2025-12-04T09:27:46.6247739Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T09:27:46.6248113Z with:
2025-12-04T09:27:46.6248770Z   github-token: ***
2025-12-04T09:27:46.6249022Z env:
2025-12-04T09:27:46.6249241Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:46.6249529Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:46.6249795Z ##[endgroup]
2025-12-04T09:27:46.6295064Z ##[group]Run set -eux
2025-12-04T09:27:46.6295335Z set -eux
2025-12-04T09:27:46.6295817Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:27:46.6301661Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:46.6302208Z env:
2025-12-04T09:27:46.6302444Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:46.6302732Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:46.6303195Z   GITHUB_TOKEN: ***
2025-12-04T09:27:46.6303434Z ##[endgroup]
2025-12-04T09:27:46.6329430Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-035d8389914ce5d08
2025-12-04T09:27:48.4809803Z Setting output job-id=57118431054
2025-12-04T09:27:48.4810532Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:27:48.4963272Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:27:48.4964091Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:27:48.4965149Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T09:27:48.4966089Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:27:48.4972513Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:48.4972929Z env:
2025-12-04T09:27:48.4973152Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:48.4973446Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:48.4973715Z   JOB_ID: 57118431054
2025-12-04T09:27:48.4974238Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:27:48.4974824Z   WORKFLOW_NAME: periodic
2025-12-04T09:27:48.4975166Z   WORKFLOW_RUN_ID: 19922826259
2025-12-04T09:27:48.4975458Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T09:27:48.4975755Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T09:27:48.4976066Z ##[endgroup]
2025-12-04T09:27:50.4070508Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:27:51.2000203Z Collecting psutil==5.9.8
2025-12-04T09:27:51.2195476Z   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)
2025-12-04T09:27:51.3923609Z Collecting dataclasses_json==0.6.7
2025-12-04T09:27:51.3977728Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T09:27:51.4525979Z Collecting nvidia-ml-py==11.525.84
2025-12-04T09:27:51.4574846Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T09:27:51.6820442Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T09:27:51.6870704Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T09:27:51.7354069Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T09:27:51.7401506Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T09:27:51.8346067Z Collecting packaging>=17.0
2025-12-04T09:27:51.8395459Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T09:27:51.9354548Z Collecting typing-extensions>=3.7.4
2025-12-04T09:27:51.9403342Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T09:27:51.9823396Z Collecting mypy-extensions>=0.3.0
2025-12-04T09:27:51.9872502Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T09:27:52.1754508Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T09:27:52.8328426Z 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
2025-12-04T09:27:53.1329937Z Prepare all required actions
2025-12-04T09:27:53.1330381Z Getting action download info
2025-12-04T09:27:53.3053247Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:27:53.9896390Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T09:27:55.7567622Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T09:27:55.7568160Z with:
2025-12-04T09:27:55.7568424Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:27:55.7568785Z   s3-bucket: gha-artifacts
2025-12-04T09:27:55.7569052Z env:
2025-12-04T09:27:55.7569279Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:55.7569562Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:55.7569828Z ##[endgroup]
2025-12-04T09:27:55.7692726Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:27:55.7693108Z with:
2025-12-04T09:27:55.7693371Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:27:55.7694098Z   s3-bucket: gha-artifacts
2025-12-04T09:27:55.7694382Z   region: us-east-1
2025-12-04T09:27:55.7694630Z env:
2025-12-04T09:27:55.7694858Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:55.7695139Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:55.7695409Z ##[endgroup]
2025-12-04T09:27:56.5282553Z (node:44751) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:27:56.5283128Z 
2025-12-04T09:27:56.5283337Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:27:56.5283965Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:27:56.5284587Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:27:56.9917263Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.8-py3.10-gcc11/
2025-12-04T09:27:56.9918092Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:28:04.3401924Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:28:04.3408323Z Artifact download has finished successfully
2025-12-04T09:28:04.3614072Z ##[group]Run unzip -o artifacts.zip
2025-12-04T09:28:04.3614432Z unzip -o artifacts.zip
2025-12-04T09:28:04.3620584Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:04.3620999Z env:
2025-12-04T09:28:04.3621234Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:04.3621519Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:04.3621808Z ##[endgroup]
2025-12-04T09:28:04.4077487Z Archive:  artifacts.zip
2025-12-04T09:28:04.4078788Z    creating: dist/
2025-12-04T09:28:06.4231313Z   inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl  
2025-12-04T09:28:06.4361998Z   inflating: dist/.ninja_log         
2025-12-04T09:28:06.4362743Z    creating: build/custom_test_artifacts/
2025-12-04T09:28:06.4363220Z    creating: build/custom_test_artifacts/custom-op-build/
2025-12-04T09:28:06.4363996Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2025-12-04T09:28:06.4364658Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/
2025-12-04T09:28:06.4372044Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-12-04T09:28:06.4372784Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/
2025-12-04T09:28:06.4373504Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake  
2025-12-04T09:28:06.4374310Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/
2025-12-04T09:28:06.4375083Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/
2025-12-04T09:28:06.4376144Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c  
2025-12-04T09:28:06.4377662Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/a.out  
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2025-12-04T09:28:06.4379619Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/
2025-12-04T09:28:06.4380412Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/tmp/
2025-12-04T09:28:06.4381782Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/CMakeCXXCompilerId.cpp  
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2025-12-04T09:28:06.4388509Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/
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2025-12-04T09:28:06.4507321Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cudafe1.cpp  
2025-12-04T09:28:06.4508499Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/CMakeCUDACompilerId.module_id  
2025-12-04T09:28:06.4570598Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp1.ii  
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2025-12-04T09:28:06.4581831Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/a_dlink.reg.c  
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2025-12-04T09:28:06.4736328Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/
2025-12-04T09:28:06.4737016Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeTmp/
2025-12-04T09:28:06.4737855Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache  
2025-12-04T09:28:06.4738585Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/
2025-12-04T09:28:06.4739402Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts  
2025-12-04T09:28:06.4740339Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.make  
2025-12-04T09:28:06.4741232Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/depend.make  
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2025-12-04T09:28:06.4742938Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/cmake_clean.cmake  
2025-12-04T09:28:06.4743805Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/build.make  
2025-12-04T09:28:06.4744662Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake  
2025-12-04T09:28:06.4745606Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make  
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2025-12-04T09:28:06.4963851Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/
2025-12-04T09:28:06.4964733Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/compiler_depend.ts  
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2025-12-04T09:28:15.2019632Z   inflating: build/bin/ProcessGroupGlooAsyncTest  
2025-12-04T09:28:15.2090776Z   inflating: build/bin/ProcessGroupNCCLTest  
2025-12-04T09:28:15.2159272Z   inflating: build/bin/ProcessGroupNCCLErrorsTest  
2025-12-04T09:28:15.2221336Z   inflating: build/bin/test_dist_autograd  
2025-12-04T09:28:15.2297474Z   inflating: build/bin/test_cpp_rpc  
2025-12-04T09:28:15.3520005Z   inflating: build/bin/test_api      
2025-12-04T09:28:15.3522707Z   inflating: build/bin/parallel_benchmark  
2025-12-04T09:28:15.3526489Z   inflating: build/bin/torch_shm_manager  
2025-12-04T09:28:15.3526863Z    creating: .additional_ci_files/
2025-12-04T09:28:15.3592074Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T09:28:15.3831159Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T09:28:15.3874571Z ##[group]Run rm artifacts.zip
2025-12-04T09:28:15.3874919Z rm artifacts.zip
2025-12-04T09:28:15.3881337Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:15.3881750Z env:
2025-12-04T09:28:15.3881982Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:15.3882260Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:15.3882528Z ##[endgroup]
2025-12-04T09:28:15.4439152Z ##[group]Run df -H
2025-12-04T09:28:15.4439417Z df -H
2025-12-04T09:28:15.4445389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:15.4445947Z env:
2025-12-04T09:28:15.4446182Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:15.4446459Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:15.4446726Z ##[endgroup]
2025-12-04T09:28:15.4726344Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T09:28:15.4726790Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T09:28:15.4727160Z tmpfs              17G     0   17G   0% /dev/shm
2025-12-04T09:28:15.4727515Z tmpfs             6.6G  521k  6.6G   1% /run
2025-12-04T09:28:15.4728058Z /dev/nvme0n1p1    161G   51G  110G  32% /
2025-12-04T09:28:15.4728644Z tmpfs              17G   13k   17G   1% /tmp
2025-12-04T09:28:15.4729037Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T09:28:15.4842501Z Prepare all required actions
2025-12-04T09:28:15.4843433Z Getting action download info
2025-12-04T09:28:15.6623068Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T09:28:15.6623466Z with:
2025-12-04T09:28:15.6623689Z env:
2025-12-04T09:28:15.6623907Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:15.6624199Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:15.6624465Z ##[endgroup]
2025-12-04T09:28:15.6700424Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:28:15.6700802Z with:
2025-12-04T09:28:15.6701018Z   name: td_results
2025-12-04T09:28:15.6701279Z   s3-bucket: gha-artifacts
2025-12-04T09:28:15.6701572Z   region: us-east-1
2025-12-04T09:28:15.6701805Z env:
2025-12-04T09:28:15.6702030Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:15.6702320Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:15.6702606Z ##[endgroup]
2025-12-04T09:28:16.6015665Z (node:44775) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:28:16.6016302Z 
2025-12-04T09:28:16.6016659Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:28:16.6017643Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:28:16.6018355Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:28:16.7245216Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/
2025-12-04T09:28:16.7246231Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:28:16.7840729Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:28:16.7846410Z Artifact download has finished successfully
2025-12-04T09:28:16.8035446Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T09:28:16.8035866Z mkdir -p .additional_ci_files
2025-12-04T09:28:16.8036343Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T09:28:16.8042622Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:16.8043021Z env:
2025-12-04T09:28:16.8043256Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:16.8043545Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:16.8043801Z ##[endgroup]
2025-12-04T09:28:16.8266201Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T09:28:16.8266635Z .github/scripts/parse_ref.py
2025-12-04T09:28:16.8272482Z shell: /usr/bin/bash -e {0}
2025-12-04T09:28:16.8272778Z env:
2025-12-04T09:28:16.8273012Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:16.8273303Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:16.8273559Z ##[endgroup]
2025-12-04T09:28:16.8592648Z Setting output branch=main
2025-12-04T09:28:16.8741030Z Prepare all required actions
2025-12-04T09:28:16.8741459Z Getting action download info
2025-12-04T09:28:17.0006329Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T09:28:17.0006723Z with:
2025-12-04T09:28:17.0007231Z   github-token: ***
2025-12-04T09:28:17.0014802Z   test-matrix: {"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:28:17.0023030Z   job-name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:28:17.0023606Z env:
2025-12-04T09:28:17.0023841Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:17.0024123Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:17.0024387Z ##[endgroup]
2025-12-04T09:28:17.0078138Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:28:17.0078473Z with:
2025-12-04T09:28:17.0078680Z   shell: bash
2025-12-04T09:28:17.0078936Z   timeout_minutes: 10
2025-12-04T09:28:17.0079204Z   max_attempts: 5
2025-12-04T09:28:17.0079448Z   retry_wait_seconds: 30
2025-12-04T09:28:17.0080309Z   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

2025-12-04T09:28:17.0081222Z   polling_interval_seconds: 1
2025-12-04T09:28:17.0081528Z   warning_on_retry: true
2025-12-04T09:28:17.0081799Z   continue_on_error: false
2025-12-04T09:28:17.0082076Z env:
2025-12-04T09:28:17.0082298Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:17.0082570Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:17.0083009Z   GITHUB_TOKEN: ***
2025-12-04T09:28:17.0083261Z ##[endgroup]
2025-12-04T09:28:17.1279588Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T09:28:17.3712156Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:28:17.4984789Z Collecting requests==2.27.1
2025-12-04T09:28:17.5158134Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T09:28:17.6996176Z Collecting pyyaml==6.0.2
2025-12-04T09:28:17.7057616Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T09:28:17.7323535Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T09:28:17.7807685Z Collecting certifi>=2017.4.17
2025-12-04T09:28:17.7848741Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T09:28:18.1930105Z Collecting charset-normalizer~=2.0.0
2025-12-04T09:28:18.1970397Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T09:28:18.2026882Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T09:28:18.2871826Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T09:28:18.4082407Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T09:28:19.1053352Z Command completed after 1 attempt(s).
2025-12-04T09:28:19.1105973Z ##[group]Run set -x
2025-12-04T09:28:19.1106396Z set -x
2025-12-04T09:28:19.1106640Z 
2025-12-04T09:28:19.1107058Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:28:19.1107575Z # in runner workspace
2025-12-04T09:28:19.1108001Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T09:28:19.1114263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:19.1114680Z env:
2025-12-04T09:28:19.1114901Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:19.1115202Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:19.1115473Z ##[endgroup]
2025-12-04T09:28:19.1142526Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T09:28:19.1340869Z Setting output branch=main
2025-12-04T09:28:19.1411802Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:28:19.1412464Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:28:19.1413020Z echo "Job name: ${JOB_NAME}"
2025-12-04T09:28:19.1413469Z 
2025-12-04T09:28:19.1414066Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:28:19.1414898Z # in runner workspace
2025-12-04T09:28:19.1415613Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T09:28:19.1416430Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T09:28:19.1416954Z   --job-name "${JOB_NAME}" \
2025-12-04T09:28:19.1432198Z   --test-matrix "{"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}]}" \
2025-12-04T09:28:19.1447465Z   --selected-test-configs "" \
2025-12-04T09:28:19.1447995Z   --pr-number "${PR_NUMBER}" \
2025-12-04T09:28:19.1448478Z   --tag "${TAG}" \
2025-12-04T09:28:19.1448913Z   --event-name "${EVENT_NAME}" \
2025-12-04T09:28:19.1449509Z   --schedule "${SCHEDULE}" \
2025-12-04T09:28:19.1449996Z   --branch "${HEAD_BRANCH}"
2025-12-04T09:28:19.1456221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:19.1456816Z env:
2025-12-04T09:28:19.1457100Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:19.1457498Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:19.1458277Z   GITHUB_TOKEN: ***
2025-12-04T09:28:19.1459062Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:28:19.1459997Z   PR_NUMBER: 
2025-12-04T09:28:19.1460279Z   TAG: 
2025-12-04T09:28:19.1460541Z   EVENT_NAME: schedule
2025-12-04T09:28:19.1460890Z   SCHEDULE: 29 8 * * *
2025-12-04T09:28:19.1461233Z   HEAD_BRANCH: main
2025-12-04T09:28:19.1461535Z ##[endgroup]
2025-12-04T09:28:19.1488451Z Workflow: periodic
2025-12-04T09:28:19.1489259Z Job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:28:19.3474955Z Setting output keep-going=True
2025-12-04T09:28:19.3475334Z Setting output ci-verbose-test-logs=False
2025-12-04T09:28:19.3475722Z Setting output ci-test-showlocals=False
2025-12-04T09:28:19.3476096Z Setting output ci-no-test-timeout=False
2025-12-04T09:28:19.3476438Z Setting output ci-no-td=False
2025-12-04T09:28:19.3476771Z Setting output ci-td-distributed=False
2025-12-04T09:28:19.3477128Z Setting output is-unstable=False
2025-12-04T09:28:19.3477453Z Setting output reenabled-issues=
2025-12-04T09:28:19.3495413Z Setting output test-matrix={"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:28:19.3513446Z Setting output is-test-matrix-empty=False
2025-12-04T09:28:19.3610808Z ##[group]Run echo "Filtered matrix:"
2025-12-04T09:28:19.3611246Z echo "Filtered matrix:"
2025-12-04T09:28:19.3629015Z echo "{"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 1, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "multigpu", "shard": 2, "num_shards": 2, "runner": "linux.g5.12xlarge.nvidia.gpu", "owners": ["oncall:distributed"], "rerun_disabled_tests": "rerun_disabled_tests"}]}"
2025-12-04T09:28:19.3646688Z 
2025-12-04T09:28:19.3646918Z echo
2025-12-04T09:28:19.3647205Z echo "Is the current job unstable? False"
2025-12-04T09:28:19.3647622Z 
2025-12-04T09:28:19.3647844Z echo
2025-12-04T09:28:19.3648108Z echo "Is keep-going label set? True"
2025-12-04T09:28:19.3648456Z 
2025-12-04T09:28:19.3648679Z echo
2025-12-04T09:28:19.3648925Z echo "Reenabled issues? "
2025-12-04T09:28:19.3655022Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:19.3655438Z env:
2025-12-04T09:28:19.3655668Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:19.3655966Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:19.3656239Z ##[endgroup]
2025-12-04T09:28:19.3682548Z Filtered matrix:
2025-12-04T09:28:19.3704927Z {include: [{config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: multigpu, shard: 1, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], mem_leak_check: mem_leak_check}, {config: multigpu, shard: 1, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: multigpu, shard: 1, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: multigpu, shard: 1, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], rerun_disabled_tests: rerun_disabled_tests}, {config: multigpu, shard: 2, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], mem_leak_check: mem_leak_check}, {config: multigpu, shard: 2, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: multigpu, shard: 2, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: multigpu, shard: 2, num_shards: 2, runner: linux.g5.12xlarge.nvidia.gpu, owners: [oncall:distributed], rerun_disabled_tests: rerun_disabled_tests}]}
2025-12-04T09:28:19.3722432Z 
2025-12-04T09:28:19.3722579Z Is the current job unstable? False
2025-12-04T09:28:19.3722799Z 
2025-12-04T09:28:19.3722912Z Is keep-going label set? True
2025-12-04T09:28:19.3723121Z 
2025-12-04T09:28:19.3723219Z Reenabled issues? 
2025-12-04T09:28:19.3755258Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:28:19.3755829Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:28:19.3761595Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:19.3761992Z env:
2025-12-04T09:28:19.3762225Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:19.3762519Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:19.3762778Z   JOB_TIMEOUT: 600
2025-12-04T09:28:19.3763024Z ##[endgroup]
2025-12-04T09:28:19.3812225Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:28:19.3813217Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:28:19.3813740Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:28:19.3819307Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:19.3819718Z env:
2025-12-04T09:28:19.3819953Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:19.3820248Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:19.3820504Z ##[endgroup]
2025-12-04T09:28:19.3933938Z ##[group]Run set -x
2025-12-04T09:28:19.3934296Z set -x
2025-12-04T09:28:19.3934543Z 
2025-12-04T09:28:19.3934821Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T09:28:19.3935247Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T09:28:19.3935684Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T09:28:19.3936091Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T09:28:19.3936410Z else
2025-12-04T09:28:19.3936686Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:28:19.3937025Z fi
2025-12-04T09:28:19.3937246Z 
2025-12-04T09:28:19.3937534Z # Leaving 1GB for the runner and other things
2025-12-04T09:28:19.3938162Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T09:28:19.3939114Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T09:28:19.3939886Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T09:28:19.3940468Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T09:28:19.3940923Z 
2025-12-04T09:28:19.3941202Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:28:19.3941578Z   SHM_OPTS=
2025-12-04T09:28:19.3941844Z   JENKINS_USER=
2025-12-04T09:28:19.3942212Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T09:28:19.3942739Z   # if for some reason cleanup action doesn't stop container
2025-12-04T09:28:19.3943309Z   # when job is cancelled
2025-12-04T09:28:19.3943655Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T09:28:19.3944011Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T09:28:19.3944355Z else
2025-12-04T09:28:19.3944628Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T09:28:19.3944988Z   JENKINS_USER="--user jenkins"
2025-12-04T09:28:19.3945328Z   DOCKER_SHELL_CMD=
2025-12-04T09:28:19.3945733Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T09:28:19.3946048Z fi
2025-12-04T09:28:19.3946271Z 
2025-12-04T09:28:19.3946640Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T09:28:19.3947224Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T09:28:19.3947880Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T09:28:19.3948467Z # shellcheck disable=SC2086,SC2090
2025-12-04T09:28:19.3948839Z container_name=$(docker run \
2025-12-04T09:28:19.3949164Z   ${GPU_FLAG:-} \
2025-12-04T09:28:19.3949492Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T09:28:19.3949869Z   -e BUILD_ENVIRONMENT \
2025-12-04T09:28:19.3950192Z   -e PR_NUMBER \
2025-12-04T09:28:19.3950479Z   -e GITHUB_ACTIONS \
2025-12-04T09:28:19.3950795Z   -e GITHUB_REPOSITORY \
2025-12-04T09:28:19.3951120Z   -e GITHUB_WORKFLOW \
2025-12-04T09:28:19.3951417Z   -e GITHUB_JOB \
2025-12-04T09:28:19.3951710Z   -e GITHUB_RUN_ID \
2025-12-04T09:28:19.3952013Z   -e GITHUB_RUN_NUMBER \
2025-12-04T09:28:19.3952327Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T09:28:19.3952642Z   -e JOB_ID \
2025-12-04T09:28:19.3952918Z   -e JOB_NAME \
2025-12-04T09:28:19.3953195Z   -e BASE_SHA \
2025-12-04T09:28:19.3953459Z   -e BRANCH \
2025-12-04T09:28:19.3953733Z   -e SHA1 \
2025-12-04T09:28:19.3954009Z   -e AWS_DEFAULT_REGION \
2025-12-04T09:28:19.3954324Z   -e IN_WHEEL_TEST \
2025-12-04T09:28:19.3954632Z   -e SHARD_NUMBER \
2025-12-04T09:28:19.3954932Z   -e TEST_CONFIG \
2025-12-04T09:28:19.3955219Z   -e NUM_TEST_SHARDS \
2025-12-04T09:28:19.3955644Z   -e REENABLED_ISSUES \
2025-12-04T09:28:19.3955977Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T09:28:19.3956307Z   -e VERBOSE_TEST_LOGS \
2025-12-04T09:28:19.3956628Z   -e TEST_SHOWLOCALS \
2025-12-04T09:28:19.3956944Z   -e NO_TEST_TIMEOUT \
2025-12-04T09:28:19.3957247Z   -e NO_TD \
2025-12-04T09:28:19.3957512Z   -e TD_DISTRIBUTED \
2025-12-04T09:28:19.3957823Z   -e PR_LABELS \
2025-12-04T09:28:19.3958144Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T09:28:19.3958499Z   -e SCCACHE_BUCKET \
2025-12-04T09:28:19.3958818Z   -e SCCACHE_REGION \
2025-12-04T09:28:19.3959123Z   -e XLA_CUDA \
2025-12-04T09:28:19.3959428Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T09:28:19.3959826Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T09:28:19.3960233Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T09:28:19.3960643Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T09:28:19.3961008Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T09:28:19.3961375Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T09:28:19.3961753Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T09:28:19.3962099Z   -e DASHBOARD_TAG \
2025-12-04T09:28:19.3962419Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T09:28:19.3962814Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T09:28:19.3963275Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T09:28:19.3963713Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:28:19.3964206Z   --security-opt seccomp=unconfined \
2025-12-04T09:28:19.3964580Z   --cap-add=SYS_PTRACE \
2025-12-04T09:28:19.3964885Z   --ipc=host \
2025-12-04T09:28:19.3965165Z   ${SHM_OPTS} \
2025-12-04T09:28:19.3965441Z   --tty \
2025-12-04T09:28:19.3965682Z   --detach \
2025-12-04T09:28:19.3965976Z   --name="${container_name}" \
2025-12-04T09:28:19.3966317Z   ${JENKINS_USER} \
2025-12-04T09:28:19.3966684Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T09:28:19.3967115Z   -w /var/lib/jenkins/workspace \
2025-12-04T09:28:19.3967460Z   "${USED_IMAGE}" \
2025-12-04T09:28:19.3967753Z   ${DOCKER_SHELL_CMD}
2025-12-04T09:28:19.3968030Z )
2025-12-04T09:28:19.3968393Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T09:28:19.3968840Z 
2025-12-04T09:28:19.3969109Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:28:19.3969748Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T09:28:19.3970319Z fi
2025-12-04T09:28:19.3970549Z 
2025-12-04T09:28:19.3971079Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T09:28:19.3976827Z shell: /usr/bin/bash -e {0}
2025-12-04T09:28:19.3977118Z env:
2025-12-04T09:28:19.3977339Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:19.3977630Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:19.3977974Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:19.3978348Z   PR_NUMBER: 
2025-12-04T09:28:19.3978612Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T09:28:19.3978954Z   GITHUB_WORKFLOW: periodic
2025-12-04T09:28:19.3979225Z   GITHUB_JOB: test
2025-12-04T09:28:19.3979482Z   GITHUB_RUN_ID: 19922826259
2025-12-04T09:28:19.3979780Z   GITHUB_RUN_NUMBER: 19107
2025-12-04T09:28:19.3980072Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T09:28:19.3980325Z   JOB_ID: 57118431054
2025-12-04T09:28:19.3980849Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:28:19.3981429Z   BRANCH: main
2025-12-04T09:28:19.3981706Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:19.3982221Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:19.3982611Z   TEST_CONFIG: nogpu_AVX512
2025-12-04T09:28:19.3982889Z   SHARD_NUMBER: 2
2025-12-04T09:28:19.3983142Z   NUM_TEST_SHARDS: 3
2025-12-04T09:28:19.3983398Z   EXTRA_FLAGS: 
2025-12-04T09:28:19.3983643Z   OP_BENCHMARK_TESTS: 
2025-12-04T09:28:19.3983897Z   REENABLED_ISSUES: 
2025-12-04T09:28:19.3984170Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T09:28:19.3984475Z   VERBOSE_TEST_LOGS: False
2025-12-04T09:28:19.3984750Z   TEST_SHOWLOCALS: False
2025-12-04T09:28:19.3985033Z   NO_TEST_TIMEOUT: False
2025-12-04T09:28:19.3985300Z   NO_TD: False
2025-12-04T09:28:19.3985542Z   TD_DISTRIBUTED: False
2025-12-04T09:28:19.3985983Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T09:28:19.3986381Z   SCCACHE_REGION: us-east-1
2025-12-04T09:28:19.3986649Z   SHM_SIZE: 1g
2025-12-04T09:28:19.3987504Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:28:19.3989058Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:28:19.3990001Z   XLA_CUDA: 
2025-12-04T09:28:19.3990374Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:19.3990867Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 1
2025-12-04T09:28:19.3991214Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-12-04T09:28:19.3991542Z   DASHBOARD_TAG: 
2025-12-04T09:28:19.3992006Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T09:28:19.3992529Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T09:28:19.3992980Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T09:28:19.3993439Z   ARTIFACTS_FILE_SUFFIX: test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T09:28:19.3994165Z ##[endgroup]
2025-12-04T09:28:19.4018747Z + [[ nogpu_AVX512 == \m\u\l\t\i\g\p\u ]]
2025-12-04T09:28:19.4019162Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *onnx* ]]
2025-12-04T09:28:19.4022124Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:28:19.4022559Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T09:28:19.4043922Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.422 '
2025-12-04T09:28:19.4044266Z + TOTAL_MEMORY_WITH_SWAP=32
2025-12-04T09:28:19.4044627Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-12-04T09:28:19.4045019Z + SHM_OPTS=--shm-size=1g
2025-12-04T09:28:19.4045300Z + JENKINS_USER='--user jenkins'
2025-12-04T09:28:19.4045601Z + DOCKER_SHELL_CMD=
2025-12-04T09:28:19.4046456Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:28:19.4053091Z +++ nproc --ignore=2
2025-12-04T09:28:19.4080781Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=29g --memory-swap=32g --env-file=/tmp/github_env_19922826259 --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-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:28:30.5637642Z + container_name=d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T09:28:30.5639072Z + echo DOCKER_CONTAINER_ID=d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T09:28:30.5639734Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-12-04T09:28:30.5643504Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T09:28:30.5646161Z + docker exec -t d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T09:28:31.1374306Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T09:28:32.0141741Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0)
2025-12-04T09:28:32.0146437Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2)
2025-12-04T09:28:32.0151777Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3)
2025-12-04T09:28:32.0157464Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8)
2025-12-04T09:28:32.0162108Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6)
2025-12-04T09:28:32.0167714Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0)
2025-12-04T09:28:32.0182224Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0)
2025-12-04T09:28:32.0568076Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4)
2025-12-04T09:28:32.0589540Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0)
2025-12-04T09:28:32.0650283Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3)
2025-12-04T09:28:32.4506630Z Installing collected packages: torch
2025-12-04T09:28:43.9290392Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T09:28:44.0292137Z + export TERM=vt100
2025-12-04T09:28:44.0292435Z + TERM=vt100
2025-12-04T09:28:44.0294517Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:28:44.0528873Z + source .ci/pytorch/common.sh
2025-12-04T09:28:44.0586345Z +++ dirname .ci/pytorch/common.sh
2025-12-04T09:28:44.0594890Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T09:28:44.0647922Z +++ declare -f -t trap_add
2025-12-04T09:28:44.0652774Z ++ set -ex -o pipefail
2025-12-04T09:28:44.0653222Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:44.0653624Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T09:28:44.0711154Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:28:44.0801487Z + source .ci/pytorch/common-build.sh
2025-12-04T09:28:44.0829550Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 != *win-* ]]
2025-12-04T09:28:44.0836209Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T09:28:44.0845099Z +++ cd .ci/pytorch
2025-12-04T09:28:44.0845434Z +++ pwd -P
2025-12-04T09:28:44.0847722Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T09:28:44.0848590Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-pch* ]]
2025-12-04T09:28:44.0848969Z ++ which sccache
2025-12-04T09:28:44.0919230Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T09:28:44.0919881Z ++ sccache --stop-server
2025-12-04T09:28:44.1123137Z ++ true
2025-12-04T09:28:44.1123623Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T09:28:44.1142834Z ++ trap_add sccache_epilogue EXIT
2025-12-04T09:28:44.1143289Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T09:28:44.1143579Z ++ shift
2025-12-04T09:28:44.1143888Z ++ for trap_add_name in "$@"
2025-12-04T09:28:44.1151605Z ++++ trap -p EXIT
2025-12-04T09:28:44.1153715Z +++ eval 'extract_trap_cmd '
2025-12-04T09:28:44.1154094Z ++++ extract_trap_cmd
2025-12-04T09:28:44.1154369Z ++++ printf '%s\n' ''
2025-12-04T09:28:44.1154652Z +++ printf '%s\n' sccache_epilogue
2025-12-04T09:28:44.1157196Z ++ trap -- '
2025-12-04T09:28:44.1157482Z sccache_epilogue' EXIT
2025-12-04T09:28:44.1157772Z ++ [[ -n 1 ]]
2025-12-04T09:28:44.1158357Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T09:28:44.1159021Z Skipping sccache server initialization, setting environment variables
2025-12-04T09:28:44.1159512Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:44.1159828Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:44.1160195Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:44.1160677Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:44.1166172Z ++ export RUST_LOG=sccache::server=error
2025-12-04T09:28:44.1166564Z ++ RUST_LOG=sccache::server=error
2025-12-04T09:28:44.1166875Z ++ sccache --zero-stats
2025-12-04T09:28:44.4460898Z Statistics zeroed.
2025-12-04T09:28:44.4464942Z ++ which ccache
2025-12-04T09:28:44.4521732Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T09:28:44.4522203Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *s390x* ]]
2025-12-04T09:28:44.4522612Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T09:28:44.4525785Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T09:28:44.4882321Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T09:28:44.4882736Z + trap_add cleanup_workspace EXIT
2025-12-04T09:28:44.4883077Z + trap_add_cmd=cleanup_workspace
2025-12-04T09:28:44.4883367Z + shift
2025-12-04T09:28:44.4883607Z + for trap_add_name in "$@"
2025-12-04T09:28:44.4889611Z +++ trap -p EXIT
2025-12-04T09:28:44.4892225Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T09:28:44.4892570Z sccache_epilogue'\'' EXIT'
2025-12-04T09:28:44.4892877Z +++ extract_trap_cmd trap -- '
2025-12-04T09:28:44.4893183Z sccache_epilogue' EXIT
2025-12-04T09:28:44.4893438Z +++ printf '%s\n' '
2025-12-04T09:28:44.4894101Z sccache_epilogue'
2025-12-04T09:28:44.4894385Z ++ printf '%s\n' cleanup_workspace
2025-12-04T09:28:44.4897251Z + trap -- '
2025-12-04T09:28:44.4897493Z sccache_epilogue
2025-12-04T09:28:44.4897756Z cleanup_workspace' EXIT
2025-12-04T09:28:44.4898085Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T09:28:45.2686064Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T09:28:45.2852307Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:45.2856106Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))'
2025-12-04T09:28:45.7102405Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:45.7103100Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']'
2025-12-04T09:28:45.7108488Z +++ realpath .ci/pytorch/test.sh
2025-12-04T09:28:45.7128015Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh
2025-12-04T09:28:45.7137837Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch
2025-12-04T09:28:45.7138485Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:45.7139125Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace
2025-12-04T09:28:45.7139623Z + patch -p4
2025-12-04T09:28:45.7173531Z patching file cudadrv/driver.py
2025-12-04T09:28:45.7174183Z Hunk #1 succeeded at 357 (offset -8 lines).
2025-12-04T09:28:45.7182786Z + popd
2025-12-04T09:28:45.7183072Z ~/workspace
2025-12-04T09:28:45.7183317Z + echo 'Environment variables:'
2025-12-04T09:28:45.7183634Z Environment variables:
2025-12-04T09:28:45.7183895Z + env
2025-12-04T09:28:45.7202482Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:28:45.7203297Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:28:45.7203817Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:45.7204755Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:28:45.7205289Z HOSTNAME=d09d64dee7b6
2025-12-04T09:28:45.7206086Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7206793Z GITHUB_ACTION=__run_3
2025-12-04T09:28:45.7207073Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1
2025-12-04T09:28:45.7207403Z GITHUB_RUN_NUMBER=19107
2025-12-04T09:28:45.7207687Z TEST_CONFIG=nogpu_AVX512
2025-12-04T09:28:45.7208004Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:28:45.7208353Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:28:45.7208704Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:45.7209143Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:28:45.7209459Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:28:45.7209766Z GITHUB_REF_TYPE=branch
2025-12-04T09:28:45.7210091Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7210446Z XLA_CUDA=
2025-12-04T09:28:45.7210758Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:28:45.7211233Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:28:45.7211600Z ***
2025-12-04T09:28:45.7211817Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:28:45.7212334Z GITHUB_ACTIONS=true
2025-12-04T09:28:45.7212653Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:45.7213065Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7213479Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7214067Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main
2025-12-04T09:28:45.7214756Z UCC_HOME=/usr
2025-12-04T09:28:45.7214987Z VERBOSE_TEST_LOGS=False
2025-12-04T09:28:45.7215270Z GITHUB_REF=refs/heads/main
2025-12-04T09:28:45.7215551Z SHARD_NUMBER=2
2025-12-04T09:28:45.7215794Z GITHUB_REF_PROTECTED=true
2025-12-04T09:28:45.7216080Z HOME=/var/lib/jenkins
2025-12-04T09:28:45.7216380Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:28:45.7216726Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-12-04T09:28:45.7217104Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:28:45.7217473Z USE_SYSTEM_NCCL=1
2025-12-04T09:28:45.7217708Z NUM_TEST_SHARDS=3
2025-12-04T09:28:45.7217954Z UCX_HOME=/usr
2025-12-04T09:28:45.7218581Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7219529Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:28:45.7220471Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7221361Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:28:45.7221905Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:28:45.7222177Z DASHBOARD_TAG=
2025-12-04T09:28:45.7222423Z GITHUB_RUN_ID=19922826259
2025-12-04T09:28:45.7222702Z INSTALLED_OPENBLAS=
2025-12-04T09:28:45.7223366Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7224107Z GITHUB_ACTOR=huydhn
2025-12-04T09:28:45.7224358Z PR_NUMBER=
2025-12-04T09:28:45.7224593Z DESIRED_CUDA=12.8.1
2025-12-04T09:28:45.7224860Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:28:45.7225140Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:28:45.7225510Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:28:45.7225952Z TERM=vt100
2025-12-04T09:28:45.7226187Z INSTALLED_VISION=yes
2025-12-04T09:28:45.7226446Z BRANCH=main
2025-12-04T09:28:45.7226802Z SCCACHE_REGION=us-east-1
2025-12-04T09:28:45.7227105Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:28:45.7227412Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:28:45.7227683Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:28:45.7228250Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:28:45.7228889Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:28:45.7229273Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:28:45.7229632Z REENABLED_ISSUES=
2025-12-04T09:28:45.7229876Z DOCS=
2025-12-04T09:28:45.7230086Z SHLVL=1
2025-12-04T09:28:45.7230291Z MAX_JOBS=14
2025-12-04T09:28:45.7230523Z GITHUB_ACTOR_ID=475357
2025-12-04T09:28:45.7230895Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7231306Z GITHUB_REF_NAME=main
2025-12-04T09:28:45.7231713Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:45.7232179Z GITHUB_JOB=test
2025-12-04T09:28:45.7232417Z NO_TEST_TIMEOUT=False
2025-12-04T09:28:45.7232688Z TD_DISTRIBUTED=False
2025-12-04T09:28:45.7232970Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:28:45.7233280Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:28:45.7233564Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:28:45.7233852Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:28:45.7234706Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:28:45.7235572Z GITHUB_BASE_REF=
2025-12-04T09:28:45.7235822Z INSTALLED_ACL=
2025-12-04T09:28:45.7236206Z ARTIFACTS_FILE_SUFFIX=test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T09:28:45.7236714Z CI=true
2025-12-04T09:28:45.7236956Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:28:45.7237307Z RUST_LOG=sccache::server=error
2025-12-04T09:28:45.7237592Z JOB_ID=57118431054
2025-12-04T09:28:45.7237839Z GITHUB_HEAD_REF=
2025-12-04T09:28:45.7238084Z GITHUB_ACTION_REF=
2025-12-04T09:28:45.7238387Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:28:45.7238771Z TEST_SHOWLOCALS=False
2025-12-04T09:28:45.7239045Z GITHUB_WORKFLOW=periodic
2025-12-04T09:28:45.7239328Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:28:45.7240014Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7240716Z NO_TD=False
2025-12-04T09:28:45.7240965Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:28:45.7241285Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:28:45.7241622Z _=/usr/bin/env
2025-12-04T09:28:45.7242011Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:45.7242574Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T09:28:45.7341020Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T09:28:45.7341765Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T09:28:45.7342723Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T09:28:45.7343508Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T09:28:45.7344028Z + BUILD_DIR=build
2025-12-04T09:28:45.7344529Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T09:28:45.7344909Z + BUILD_BIN_DIR=build/bin
2025-12-04T09:28:45.7345356Z + SHARD_NUMBER=2
2025-12-04T09:28:45.7345820Z + NUM_TEST_SHARDS=3
2025-12-04T09:28:45.7346093Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:45.7346560Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:45.7346868Z + export VALGRIND=ON
2025-12-04T09:28:45.7347143Z + VALGRIND=ON
2025-12-04T09:28:45.7347434Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *clang9* ]]
2025-12-04T09:28:45.7347866Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T09:28:45.7348237Z + detect_cuda_arch
2025-12-04T09:28:45.7348525Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:45.7348908Z + command -v nvidia-smi
2025-12-04T09:28:45.7349348Z + [[ nogpu_AVX512 == *nogpu* ]]
2025-12-04T09:28:45.7349639Z + TORCH_CUDA_ARCH_LIST=8.0
2025-12-04T09:28:45.7349950Z + export TORCH_CUDA_ARCH_LIST
2025-12-04T09:28:45.7350395Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]]
2025-12-04T09:28:45.7350748Z + [[ 0 == \1 ]]
2025-12-04T09:28:45.7350983Z + [[ True == \1 ]]
2025-12-04T09:28:45.7351286Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *bazel* ]]
2025-12-04T09:28:45.7351683Z ++ realpath build/custom_test_artifacts
2025-12-04T09:28:45.7367871Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T09:28:45.7368506Z + [[ -n '' ]]
2025-12-04T09:28:45.7368780Z + echo 'Environment variables'
2025-12-04T09:28:45.7369076Z Environment variables
2025-12-04T09:28:45.7369335Z + env
2025-12-04T09:28:45.7377659Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:28:45.7378373Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:28:45.7378747Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:45.7379590Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:28:45.7379927Z HOSTNAME=d09d64dee7b6
2025-12-04T09:28:45.7380754Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7381623Z GITHUB_ACTION=__run_3
2025-12-04T09:28:45.7381916Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1
2025-12-04T09:28:45.7382229Z GITHUB_RUN_NUMBER=19107
2025-12-04T09:28:45.7382510Z TEST_CONFIG=nogpu_AVX512
2025-12-04T09:28:45.7382881Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:28:45.7383332Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:28:45.7383956Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:45.7384406Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:28:45.7384735Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:28:45.7385045Z GITHUB_REF_TYPE=branch
2025-12-04T09:28:45.7385308Z TORCH_CUDA_ARCH_LIST=8.0
2025-12-04T09:28:45.7385716Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7386086Z XLA_CUDA=
2025-12-04T09:28:45.7386331Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:28:45.7386907Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:28:45.7387244Z ***
2025-12-04T09:28:45.7387474Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:28:45.7387766Z GITHUB_ACTIONS=true
2025-12-04T09:28:45.7388090Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:45.7388525Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7388932Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7389516Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main
2025-12-04T09:28:45.7390042Z UCC_HOME=/usr
2025-12-04T09:28:45.7390289Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:45.7390586Z VERBOSE_TEST_LOGS=False
2025-12-04T09:28:45.7390866Z GITHUB_REF=refs/heads/main
2025-12-04T09:28:45.7391144Z SHARD_NUMBER=2
2025-12-04T09:28:45.7391381Z GITHUB_REF_PROTECTED=true
2025-12-04T09:28:45.7391661Z HOME=/var/lib/jenkins
2025-12-04T09:28:45.7391958Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:28:45.7392306Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-12-04T09:28:45.7392680Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:28:45.7393046Z USE_SYSTEM_NCCL=1
2025-12-04T09:28:45.7393281Z NUM_TEST_SHARDS=3
2025-12-04T09:28:45.7393521Z UCX_HOME=/usr
2025-12-04T09:28:45.7394424Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7395377Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T09:28:45.7396311Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7397210Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:28:45.7397772Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:28:45.7398047Z DASHBOARD_TAG=
2025-12-04T09:28:45.7398297Z GITHUB_RUN_ID=19922826259
2025-12-04T09:28:45.7398710Z INSTALLED_OPENBLAS=
2025-12-04T09:28:45.7399374Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7400124Z GITHUB_ACTOR=huydhn
2025-12-04T09:28:45.7400374Z PR_NUMBER=
2025-12-04T09:28:45.7400591Z DESIRED_CUDA=12.8.1
2025-12-04T09:28:45.7400844Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:28:45.7401099Z VALGRIND=ON
2025-12-04T09:28:45.7401332Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:28:45.7401699Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:28:45.7402089Z TERM=vt100
2025-12-04T09:28:45.7402321Z INSTALLED_VISION=yes
2025-12-04T09:28:45.7402570Z BRANCH=main
2025-12-04T09:28:45.7402811Z SCCACHE_REGION=us-east-1
2025-12-04T09:28:45.7403108Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:28:45.7403402Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:28:45.7403688Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:28:45.7404260Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:28:45.7404891Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:28:45.7405281Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:28:45.7405658Z REENABLED_ISSUES=
2025-12-04T09:28:45.7405890Z DOCS=
2025-12-04T09:28:45.7406104Z SHLVL=1
2025-12-04T09:28:45.7406319Z MAX_JOBS=14
2025-12-04T09:28:45.7406542Z GITHUB_ACTOR_ID=475357
2025-12-04T09:28:45.7406913Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:45.7407337Z GITHUB_REF_NAME=main
2025-12-04T09:28:45.7407749Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:45.7408202Z GITHUB_JOB=test
2025-12-04T09:28:45.7408537Z NO_TEST_TIMEOUT=False
2025-12-04T09:28:45.7408806Z TD_DISTRIBUTED=False
2025-12-04T09:28:45.7409078Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:28:45.7409410Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:28:45.7409694Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:28:45.7409968Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:28:45.7410819Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:28:45.7411699Z GITHUB_BASE_REF=
2025-12-04T09:28:45.7411932Z INSTALLED_ACL=
2025-12-04T09:28:45.7412309Z ARTIFACTS_FILE_SUFFIX=test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T09:28:45.7412752Z CI=true
2025-12-04T09:28:45.7412981Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:28:45.7413322Z RUST_LOG=sccache::server=error
2025-12-04T09:28:45.7413619Z JOB_ID=57118431054
2025-12-04T09:28:45.7413871Z GITHUB_HEAD_REF=
2025-12-04T09:28:45.7414104Z GITHUB_ACTION_REF=
2025-12-04T09:28:45.7414420Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:28:45.7414804Z TEST_SHOWLOCALS=False
2025-12-04T09:28:45.7429186Z GITHUB_WORKFLOW=periodic
2025-12-04T09:28:45.7429767Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:28:45.7430470Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_6cb68fe6-0cb7-4ee7-960f-ef73c1882fb7
2025-12-04T09:28:45.7431181Z NO_TD=False
2025-12-04T09:28:45.7431436Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:28:45.7431775Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:28:45.7432257Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:45.7432717Z _=/usr/bin/env
2025-12-04T09:28:45.7432958Z + echo 'Testing pytorch'
2025-12-04T09:28:45.7433224Z Testing pytorch
2025-12-04T09:28:45.7433606Z + export LANG=C.UTF-8
2025-12-04T09:28:45.7433869Z + LANG=C.UTF-8
2025-12-04T09:28:45.7434106Z + PR_NUMBER=
2025-12-04T09:28:45.7434356Z + [[ nogpu_AVX512 == \d\e\f\a\u\l\t ]]
2025-12-04T09:28:45.7434720Z + [[ nogpu_AVX512 == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T09:28:45.7435058Z + [[ nogpu_AVX512 == \s\l\o\w ]]
2025-12-04T09:28:45.7435461Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-12-04T09:28:45.7435936Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:45.7436350Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:28:45.7437615Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:28:45.7437977Z + [[ nogpu_AVX512 == *crossref* ]]
2025-12-04T09:28:45.7438340Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:45.7438741Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T09:28:45.7439171Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-12-04T09:28:45.7439559Z + pip_install ninja==1.10.2
2025-12-04T09:28:45.7439948Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T09:28:45.7440455Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T09:28:46.1600134Z Collecting ninja==1.10.2
2025-12-04T09:28:46.1860294Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T09:28:46.1968711Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T09:28:46.5824159Z Installing collected packages: ninja
2025-12-04T09:28:46.5825009Z   Attempting uninstall: ninja
2025-12-04T09:28:46.5833252Z     Found existing installation: ninja 1.11.1.4
2025-12-04T09:28:46.5854720Z     Uninstalling ninja-1.11.1.4:
2025-12-04T09:28:46.5917288Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T09:28:46.6261223Z Successfully installed ninja-1.10.2
2025-12-04T09:28:46.6856636Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:28:46.6859826Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:28:46.6862051Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-12-04T09:28:46.6862688Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-12-04T09:28:46.6863319Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-debug* ]]
2025-12-04T09:28:46.6863978Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-12-04T09:28:46.6864943Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass'
2025-12-04T09:28:46.6866265Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass
2025-12-04T09:28:46.6867088Z + cd test
2025-12-04T09:28:46.6867622Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T09:28:49.3071273Z + [[ nogpu_AVX512 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T09:28:49.3071843Z + [[ nogpu_AVX512 == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T09:28:49.3072327Z + export ATEN_CPU_CAPABILITY=avx2
2025-12-04T09:28:49.3072698Z + ATEN_CPU_CAPABILITY=avx2
2025-12-04T09:28:49.3073179Z + [[ nogpu_AVX512 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T09:28:49.3077077Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T09:28:49.3077416Z + [[ nogpu_AVX512 == *pr_time_benchmarks* ]]
2025-12-04T09:28:49.3077895Z + [[ nogpu_AVX512 == *dynamo_eager* ]]
2025-12-04T09:28:49.3078245Z + [[ nogpu_AVX512 == *aot_eager* ]]
2025-12-04T09:28:49.3078674Z + [[ nogpu_AVX512 == *aot_inductor* ]]
2025-12-04T09:28:49.3079033Z + [[ nogpu_AVX512 == *max_autotune_inductor* ]]
2025-12-04T09:28:49.3079508Z + [[ nogpu_AVX512 == *inductor* ]]
2025-12-04T09:28:49.3079833Z + [[ nogpu_AVX512 == *dynamic* ]]
2025-12-04T09:28:49.3080237Z + [[ nogpu_AVX512 == *cpu* ]]
2025-12-04T09:28:49.3080535Z + [[ nogpu_AVX512 == *xpu* ]]
2025-12-04T09:28:49.3080976Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T09:28:49.3112254Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-12-04T09:28:49.3112717Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-bazel-* ]]
2025-12-04T09:28:49.3116033Z + cd test
2025-12-04T09:28:49.3116630Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T09:28:50.6952161Z PyTorch built with:
2025-12-04T09:28:50.6952627Z   - GCC 11.4
2025-12-04T09:28:50.6952864Z   - C++ Version: 201703
2025-12-04T09:28:50.6953962Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:28:50.6955030Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:28:50.6955527Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:28:50.6956034Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T09:28:50.6956406Z   - NNPACK is enabled
2025-12-04T09:28:50.6956835Z   - CPU capability usage: AVX2
2025-12-04T09:28:50.6963262Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.8, CUDNN_VERSION=9.10.2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-12-04T09:28:50.6969938Z 
2025-12-04T09:28:50.9956708Z + cd test
2025-12-04T09:28:50.9957266Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T09:28:52.3741508Z ATen/Parallel:
2025-12-04T09:28:52.3742001Z 	at::get_num_threads() : 8
2025-12-04T09:28:52.3742332Z 	at::get_num_interop_threads() : 8
2025-12-04T09:28:52.3742696Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:28:52.3743004Z 	omp_get_max_threads() : 8
2025-12-04T09:28:52.3743621Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:28:52.3744275Z 	mkl_get_max_threads() : 8
2025-12-04T09:28:52.3744697Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:28:52.3745325Z std::thread::hardware_concurrency() : 16
2025-12-04T09:28:52.3745737Z Environment variables:
2025-12-04T09:28:52.3746025Z 	OMP_NUM_THREADS : [not set]
2025-12-04T09:28:52.3746315Z 	MKL_NUM_THREADS : [not set]
2025-12-04T09:28:52.3746636Z ATen parallel backend: OpenMP
2025-12-04T09:28:52.3746838Z 
2025-12-04T09:28:52.6672616Z + [[ nogpu_AVX512 == *numpy_2* ]]
2025-12-04T09:28:52.6673130Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-12-04T09:28:52.6673639Z + [[ nogpu_AVX512 == *backward* ]]
2025-12-04T09:28:52.6674017Z + [[ nogpu_AVX512 == *libtorch_agnostic_targetting* ]]
2025-12-04T09:28:52.6674543Z + [[ nogpu_AVX512 == *xla* ]]
2025-12-04T09:28:52.6674831Z + [[ nogpu_AVX512 == *vllm* ]]
2025-12-04T09:28:52.6675250Z + [[ nogpu_AVX512 == *executorch* ]]
2025-12-04T09:28:52.6675596Z + [[ nogpu_AVX512 == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T09:28:52.6676063Z + [[ nogpu_AVX512 == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T09:28:52.6676485Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-12-04T09:28:52.6676996Z + [[ nogpu_AVX512 == distributed ]]
2025-12-04T09:28:52.6677390Z + [[ nogpu_AVX512 == *operator_benchmark* ]]
2025-12-04T09:28:52.6677827Z + [[ nogpu_AVX512 == *operator_microbenchmark* ]]
2025-12-04T09:28:52.6678362Z + [[ nogpu_AVX512 == *attention_microbenchmark* ]]
2025-12-04T09:28:52.6678757Z + [[ nogpu_AVX512 == *inductor_distributed* ]]
2025-12-04T09:28:52.6679220Z + [[ nogpu_AVX512 == *inductor-halide* ]]
2025-12-04T09:28:52.6679578Z + [[ nogpu_AVX512 == *inductor-pallas* ]]
2025-12-04T09:28:52.6680067Z + [[ nogpu_AVX512 == *inductor-triton-cpu* ]]
2025-12-04T09:28:52.6680787Z + [[ nogpu_AVX512 == *inductor-micro-benchmark* ]]
2025-12-04T09:28:52.6681239Z + [[ nogpu_AVX512 == *aoti_cross_compile_for_windows* ]]
2025-12-04T09:28:52.6681745Z + [[ nogpu_AVX512 == *huggingface* ]]
2025-12-04T09:28:52.6682172Z + [[ nogpu_AVX512 == *timm* ]]
2025-12-04T09:28:52.6682474Z + [[ nogpu_AVX512 == cachebench ]]
2025-12-04T09:28:52.6682817Z + [[ nogpu_AVX512 == verify_cachebench ]]
2025-12-04T09:28:52.6683270Z + [[ nogpu_AVX512 == *torchbench* ]]
2025-12-04T09:28:52.6683618Z + [[ nogpu_AVX512 == *inductor_cpp_wrapper* ]]
2025-12-04T09:28:52.6684082Z + [[ nogpu_AVX512 == *inductor_core* ]]
2025-12-04T09:28:52.6684470Z + [[ nogpu_AVX512 == *inductor* ]]
2025-12-04T09:28:52.6684839Z + [[ nogpu_AVX512 == *einops* ]]
2025-12-04T09:28:52.6685151Z + [[ nogpu_AVX512 == *dynamo_core* ]]
2025-12-04T09:28:52.6685602Z + [[ nogpu_AVX512 == *dynamo_wrapped* ]]
2025-12-04T09:28:52.6685988Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:52.6686444Z + [[ 2 == 1 ]]
2025-12-04T09:28:52.6686677Z + [[ 2 == 2 ]]
2025-12-04T09:28:52.6687011Z + [[ 3 -gt 1 ]]
2025-12-04T09:28:52.6687256Z + install_torchvision
2025-12-04T09:28:52.6687524Z + local orig_preload
2025-12-04T09:28:52.6687881Z + local commit
2025-12-04T09:28:52.6688138Z ++ get_pinned_commit vision
2025-12-04T09:28:52.6688564Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T09:28:52.6706342Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:28:52.6706775Z + orig_preload=
2025-12-04T09:28:52.6707218Z + '[' -n '' ']'
2025-12-04T09:28:52.6707701Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:52.6708073Z + export FORCE_CUDA=1
2025-12-04T09:28:52.6708529Z + FORCE_CUDA=1
2025-12-04T09:28:52.6708773Z + export WITH_CUDA=1
2025-12-04T09:28:52.6709019Z + WITH_CUDA=1
2025-12-04T09:28:52.6709641Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T09:28:52.6710616Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:28:52.6711245Z + local wheel_dir=dist/vision
2025-12-04T09:28:52.6711530Z + local found_whl=0
2025-12-04T09:28:52.6711798Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:28:52.6712124Z + [[ -f dist/vision/*.whl ]]
2025-12-04T09:28:52.6712396Z + '[' 0 == 0 ']'
2025-12-04T09:28:52.6713143Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:28:53.0681853Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:28:53.0687170Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-_dt03ifh
2025-12-04T09:28:53.0832235Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-_dt03ifh
2025-12-04T09:28:54.9234065Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T09:28:54.9256671Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:28:55.0637113Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:28:57.1036451Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:28:57.1041729Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T09:30:23.3183750Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done
2025-12-04T09:30:23.3236840Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786028 sha256=f89b7e47ed183945eee4b848bc534556d6c190efa2cb1b74f0fd7a8b6fb9d18d
2025-12-04T09:30:23.3238488Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T09:30:23.3279561Z Successfully built torchvision
2025-12-04T09:30:23.4119954Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:30:23.4120914Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:23.4121646Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T09:30:23.4122147Z + local args
2025-12-04T09:30:23.4122580Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T09:30:23.4123103Z + for path in "${args[@]}"
2025-12-04T09:30:23.4123640Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T09:30:23.4124392Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:23.4125257Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:23.7518704Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:23.7643227Z Installing collected packages: torchvision
2025-12-04T09:30:24.2395628Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T09:30:24.2792961Z + '[' -n '' ']'
2025-12-04T09:30:24.2793336Z + test_python_shard 2
2025-12-04T09:30:24.2793869Z + [[ -z 3 ]]
2025-12-04T09:30:24.2795268Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 2 3 --verbose --upload-artifacts-while-running
2025-12-04T09:30:25.9973440Z W1204 09:30:25.996000 1681 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:30:29.4991231Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:30:29.5985401Z Ignoring disabled issues:  ['']
2025-12-04T09:30:29.6089356Z Found test times from artifacts
2025-12-04T09:30:29.6496508Z Found test times from artifacts
2025-12-04T09:30:29.6510132Z Running all tests
2025-12-04T09:30:29.7143375Z Running parallel tests on 1 processes
2025-12-04T09:30:29.7153822Z Name: tests to run (est. time: 87.85min)
2025-12-04T09:30:29.7154319Z   Serial tests (129):
2025-12-04T09:30:29.7154721Z     inductor/test_torchinductor 1/1
2025-12-04T09:30:29.7155277Z     inductor/test_torchinductor_dynamic_shapes 2/3
2025-12-04T09:30:29.7155988Z     inductor/test_torchinductor_codegen_dynamic_shapes 2/3
2025-12-04T09:30:29.7156652Z     inductor/test_pattern_matcher 1/1
2025-12-04T09:30:29.7157166Z     dynamo/test_activation_checkpointing 1/1
2025-12-04T09:30:29.7157703Z     dynamo/test_repros 1/1
2025-12-04T09:30:29.7158133Z     inductor/test_compile_subprocess 1/1
2025-12-04T09:30:29.7158638Z     inductor/test_native_matmul 1/1
2025-12-04T09:30:29.7159124Z     dynamo/test_regional_inductor 1/1
2025-12-04T09:30:29.7159619Z     dynamo/test_fx_graph_runnable 1/1
2025-12-04T09:30:29.7160088Z     dynamo/test_backends 1/1
2025-12-04T09:30:29.7160545Z     inductor/test_decompose_mem_bound_mm 1/1
2025-12-04T09:30:29.7161077Z     inductor/test_op_dtype_prop 1/1
2025-12-04T09:30:29.7161527Z     dynamo/test_streams 1/1
2025-12-04T09:30:29.7161953Z     inductor/test_unbacked_symints 1/1
2025-12-04T09:30:29.7162447Z     inductor/test_padding 1/1
2025-12-04T09:30:29.7162880Z     dynamo/test_aot_compile 1/1
2025-12-04T09:30:29.7163303Z     dynamo/test_decorators 1/1
2025-12-04T09:30:29.7163730Z     test_varlen_attention 1/1
2025-12-04T09:30:29.7164136Z     test_sparse 1/1
2025-12-04T09:30:29.7164482Z     higher_order_ops/test_local_map 1/1
2025-12-04T09:30:29.7164968Z     test_dataloader 1/1
2025-12-04T09:30:29.7165344Z     test_ci_sanity_check_fail 1/1
2025-12-04T09:30:29.7165772Z     test_ops_gradients 1/1
2025-12-04T09:30:29.7166166Z     functorch/test_ops 1/1
2025-12-04T09:30:29.7166543Z     doctests 1/1
2025-12-04T09:30:29.7166868Z     inductor/test_cpu_repro 1/5
2025-12-04T09:30:29.7167536Z     inductor/test_cpu_repro 4/5
2025-12-04T09:30:29.7167989Z     inductor/test_snode_runtime 1/1
2025-12-04T09:30:29.7168468Z     inductor/test_custom_lowering 1/1
2025-12-04T09:30:29.7168969Z     inductor/test_fused_attention 1/1
2025-12-04T09:30:29.7169490Z     inductor/test_mkldnn_pattern_matcher 1/2
2025-12-04T09:30:29.7170000Z     inductor/test_mmdecomp 1/1
2025-12-04T09:30:29.7170466Z     inductor/test_aot_inductor_arrayref 2/2
2025-12-04T09:30:29.7170994Z     inductor/test_cutlass_backend 1/1
2025-12-04T09:30:29.7171464Z     test_content_store 1/1
2025-12-04T09:30:29.7171847Z     inductor/test_pad_mm 1/1
2025-12-04T09:30:29.7172292Z     inductor/test_subgraph_choice 1/1
2025-12-04T09:30:29.7172772Z     inductor/test_ck_backend 1/1
2025-12-04T09:30:29.7173212Z     inductor/test_autoheuristic 1/1
2025-12-04T09:30:29.7173686Z     inductor/test_xpu_basic 1/1
2025-12-04T09:30:29.7174158Z     inductor/test_cooperative_reductions 1/1
2025-12-04T09:30:29.7174711Z     inductor/test_coordinate_descent_tuner 1/1
2025-12-04T09:30:29.7175246Z     dynamo/test_recompiles 1/1
2025-12-04T09:30:29.7175675Z     inductor/test_foreach 1/1
2025-12-04T09:30:29.7176100Z     inductor/test_triton_wrapper 1/1
2025-12-04T09:30:29.7176601Z     inductor/test_provenance_tracing 1/1
2025-12-04T09:30:29.7177109Z     dynamo/test_skip_non_tensor 1/1
2025-12-04T09:30:29.7177600Z     dynamo/test_skip_guard_eval_unsafe 1/1
2025-12-04T09:30:29.7178094Z     inductor/test_best_config 1/1
2025-12-04T09:30:29.7178552Z     dynamo/test_buffers_override 1/1
2025-12-04T09:30:29.7179048Z     inductor/test_split_cat_fx_passes 1/1
2025-12-04T09:30:29.7179545Z     inductor/test_mem_estimation 1/1
2025-12-04T09:30:29.7180159Z     dynamo/test_view 1/1
2025-12-04T09:30:29.7180555Z     inductor/test_cutlass_evt 1/1
2025-12-04T09:30:29.7181007Z     dynamo/test_reconstruct 1/1
2025-12-04T09:30:29.7181429Z     dynamo/test_aot_autograd 1/1
2025-12-04T09:30:29.7181864Z     inductor/test_cache 1/1
2025-12-04T09:30:29.7182279Z     inductor/test_block_analysis 1/1
2025-12-04T09:30:29.7182742Z     dynamo/test_subgraphs 1/1
2025-12-04T09:30:29.7183175Z     dynamo/test_pre_dispatch 1/1
2025-12-04T09:30:29.7183662Z     inductor/test_custom_post_grad_passes 1/1
2025-12-04T09:30:29.7184174Z     dynamo/test_fx_annotate 1/1
2025-12-04T09:30:29.7184591Z     dynamo/test_pgo 1/1
2025-12-04T09:30:29.7184976Z     export/test_export_opinfo 1/1
2025-12-04T09:30:29.7185405Z     dynamo/test_nops 1/1
2025-12-04T09:30:29.7185895Z     dynamo/test_export_mutations 1/1
2025-12-04T09:30:29.7186370Z     inductor/test_config 1/1
2025-12-04T09:30:29.7186777Z     dynamo/test_global 1/1
2025-12-04T09:30:29.7187165Z     inductor/test_ordered_set 1/1
2025-12-04T09:30:29.7187621Z     inductor/test_pallas 1/1
2025-12-04T09:30:29.7188061Z     dynamo/test_install_free_tensors 1/1
2025-12-04T09:30:29.7188562Z     dynamo/test_autograd_function 1/1
2025-12-04T09:30:29.7189047Z     inductor/test_codecache 1/1
2025-12-04T09:30:29.7189502Z     inductor/test_needs_exact_strides 1/1
2025-12-04T09:30:29.7190015Z     dynamo/test_verify_correctness 1/1
2025-12-04T09:30:29.7190510Z     inductor/test_fxir_backend 1/1
2025-12-04T09:30:29.7190967Z     inductor/test_caching 1/1
2025-12-04T09:30:29.7191365Z     export/test_hop 1/1
2025-12-04T09:30:29.7191739Z     export/test_upgrader 1/1
2025-12-04T09:30:29.7192150Z     dynamo/test_hooks 1/1
2025-12-04T09:30:29.7192529Z     dynamo/test_exceptions 1/1
2025-12-04T09:30:29.7192956Z     dynamo/test_generator 1/1
2025-12-04T09:30:29.7193379Z     export/test_lift_unlift 1/1
2025-12-04T09:30:29.7194127Z     export/test_verifier 1/1
2025-12-04T09:30:29.7194531Z     export/test_sparse 2/2
2025-12-04T09:30:29.7194930Z     xpu/test_fusion 1/1
2025-12-04T09:30:29.7195305Z     test_expanded_weights 1/1
2025-12-04T09:30:29.7195700Z     test_complex 1/1
2025-12-04T09:30:29.7196056Z     test_binary_ufuncs 1/1
2025-12-04T09:30:29.7196452Z     lazy/test_step_closures 1/1
2025-12-04T09:30:29.7196877Z     profiler/test_cpp_thread 1/1
2025-12-04T09:30:29.7197297Z     test_hub 1/1
2025-12-04T09:30:29.7197756Z     test_opaque_obj_v2 1/1
2025-12-04T09:30:29.7198177Z     test_functionalization_of_rng_ops 1/1
2025-12-04T09:30:29.7198686Z     test_fx_reinplace_pass 1/1
2025-12-04T09:30:29.7199125Z     functorch/test_control_flow 1/1
2025-12-04T09:30:29.7199561Z     test_autocast 1/1
2025-12-04T09:30:29.7199900Z     test_logging 1/1
2025-12-04T09:30:29.7200248Z     test_python_dispatch 1/1
2025-12-04T09:30:29.7200645Z     nn/test_lazy_modules 1/1
2025-12-04T09:30:29.7201043Z     nn/test_pruning 1/1
2025-12-04T09:30:29.7201392Z     test_monitor 1/1
2025-12-04T09:30:29.7201723Z     test_bundled_inputs 1/1
2025-12-04T09:30:29.7202182Z     torch_np/numpy_tests/core/test_numeric 1/1
2025-12-04T09:30:29.7202777Z     torch_np/numpy_tests/core/test_multiarray 1/1
2025-12-04T09:30:29.7203315Z     test_masked 1/1
2025-12-04T09:30:29.7203665Z     test_cpp_extensions_mtia_backend 1/1
2025-12-04T09:30:29.7204160Z     lazy/test_ts_opinfo 1/1
2025-12-04T09:30:29.7204557Z     test_dynamic_shapes 1/1
2025-12-04T09:30:29.7204951Z     optim/test_swa_utils 1/1
2025-12-04T09:30:29.7205421Z     cpp_extensions/test_libtorch_agnostic 1/1
2025-12-04T09:30:29.7205934Z     test_datapipe 1/1
2025-12-04T09:30:29.7206350Z     torch_np/numpy_tests/core/test_shape_base 1/1
2025-12-04T09:30:29.7206883Z     test_vulkan 1/1
2025-12-04T09:30:29.7207213Z     lazy/test_generator 1/1
2025-12-04T09:30:29.7207614Z     nn/test_convolution 1/1
2025-12-04T09:30:29.7208072Z     torch_np/numpy_tests/linalg/test_linalg 1/1
2025-12-04T09:30:29.7208597Z     test_shape_ops 1/1
2025-12-04T09:30:29.7208949Z     test_serialization 1/1
2025-12-04T09:30:29.7209335Z     test_view_ops 1/1
2025-12-04T09:30:29.7209774Z     test_nn 1/1
2025-12-04T09:30:29.7210127Z     torch_np/numpy_tests/core/test_dlpack 1/1
2025-12-04T09:30:29.7210672Z     test_multiprocessing_spawn 1/1
2025-12-04T09:30:29.7211121Z     test_mkldnn 1/1
2025-12-04T09:30:29.7211449Z     test_native_mha 1/1
2025-12-04T09:30:29.7211807Z     test_type_promotion 1/1
2025-12-04T09:30:29.7212206Z     test_reductions 1/1
2025-12-04T09:30:29.7212582Z     test_autoload_enable 1/1
2025-12-04T09:30:29.7212979Z   Parallel tests (0):
2025-12-04T09:30:29.7213357Z Name: excluded (est. time: 0.0min)
2025-12-04T09:30:29.7213798Z   Serial tests (0):
2025-12-04T09:30:29.7214113Z   Parallel tests (0):
2025-12-04T09:30:29.7214821Z Running inductor/test_torchinductor 1/1 ... [2025-12-04 09:30:29.716369][1114.907006564]
2025-12-04T09:30:29.7215695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:29.7217695Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor.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 09:30:29.716760]
2025-12-04T09:30:41.2321168Z 
2025-12-04T09:30:41.2322585Z inductor/test_torchinductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_1.1_b8cd8c197e877c4e_.log
2025-12-04T09:30:41.2323841Z 
2025-12-04T09:30:41.2324465Z Finished inductor/test_torchinductor 1/1 ... [2025-12-04 09:30:41.232009][1126.422645396], took 0.19min
2025-12-04T09:30:41.6180172Z Uploading artifacts took 0.39 seconds
2025-12-04T09:30:41.6184397Z Running inductor/test_torchinductor_dynamic_shapes 2/3 ... [2025-12-04 09:30:41.618176][1126.808813728]
2025-12-04T09:30:41.6185031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:41.6188942Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.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 09:30:41.618580]
2025-12-04T09:38:44.1258155Z 
2025-12-04T09:38:44.1260023Z inductor/test_torchinductor_dynamic_shapes 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.3_92ae976342fe024b_.log
2025-12-04T09:38:44.1563006Z Running 272 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test__dyn_quant_matmul_4bit_fp32_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test__dyn_quant_pack_4bit_weight_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex10_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex9_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_inplace_permuted_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_addmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_override_registration_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin_with_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_min_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_assert_alignment_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool3d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bitwise2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bmm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_uint8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_uint8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_nd_tiling_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_buffer_batch_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_float_ndigits_neg_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_unbacked_legacy_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cauchy_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_check_stack_no_cycles_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_type_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_complex_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_computed_buffer_inlining_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_concat_add_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_cudagraphs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_const_int32_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_2d_strides_nonpositive_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv1d_depthwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv1d_with_permute_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_copy_with_scalar_src_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cos_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cpu_scalar_with_gpu_tensor_dynamic_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cpu_tensor_with_cpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_pattern_matcher_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_data_type_propogation_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dist_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_by_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_precision_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_prim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_softmax_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout_deterministic_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout_trivial_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float16_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_uint8_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_uint8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_uint8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_elu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_embedding_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exact_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expanded_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_flexible_layout_immutable_free_symbols_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_flip_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_float_repr_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fmin_fmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_forced_buffer_realize_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_like_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_truncation_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_functionalize_rng_wrappers_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fuse_large_params_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_constant_tensor1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_no_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_scalar_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_deterministic_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inductor_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_mixed_dtype_ops_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_resize_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_where_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_int8_weight_only_quant_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_isinf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_grid_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_lerp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_like_rands_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linear_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linear_mixed_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linspace4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_lite_mode_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_log_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_logcumsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_logcumsumexp_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_logsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mark_dynamic_with_hint_override_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_min_max_reduction_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mm_mixed_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mm_views_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_var_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mutable_custom_op_fixed_layout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mutations_loop_fusion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_narrow_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_neg_max_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_new_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nll_loss_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pattern_matcher_unbacked_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_permute2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_philox_rand_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_bessel_j1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i0e_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_log_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_psi_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_shifted_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_sinc_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pow_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_int64_mod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reflection_pad2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reflection_pad2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_Tensor_decomp_int64_nd_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_decomposition_has_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_resize_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_resize_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_roi_align_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scaled_dot_product_efficient_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_add2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_searchsorted_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_setitem_with_int_parameter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sgn_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sign_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_single_elem_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_mutation1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter_dtype_consistency_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_backward_data_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_special_polygamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_squeeze2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_squeeze_varargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum_keepdims_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor_index_put_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tmp_not_defined_issue3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_topk_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_uint_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbacked_floordiv_simplify_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbacked_floordiv_simplify_errors_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbind_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unsqueeze_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_correction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_mean_div_by_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_mean_tile_reduction_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vdd_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vectorized_ops_masked_var_novec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_where_with_logical_op_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zero_element_mutation_dynamic_shapes_cpu
2025-12-04T09:38:44.1863394Z 
2025-12-04T09:38:44.1864108Z Finished inductor/test_torchinductor_dynamic_shapes 2/3 ... [2025-12-04 09:38:44.126120][1609.316754292], took 8.04min
2025-12-04T09:38:44.1867721Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-1819eefc859eb421.xml
2025-12-04T09:38:44.2238408Z Running inductor/test_torchinductor_codegen_dynamic_shapes 2/3 ... [2025-12-04 09:38:44.223513][1609.414150406]
2025-12-04T09:38:44.2239490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:44.2242667Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.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 09:38:44.223906]
2025-12-04T09:44:43.1054789Z 
2025-12-04T09:44:43.1056201Z inductor/test_torchinductor_codegen_dynamic_shapes 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_2.3_32b240a6d77263dc_.log
2025-12-04T09:44:43.1236200Z Running 278 items in this shard: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__dyn_quant_matmul_4bit_fp32_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__dyn_quant_pack_4bit_weight_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_errors_with_long_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex_strided_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_addmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_support_out_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin_with_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_baddbmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_batch_norm_2d_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bitwise3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_computed_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_nd_tiling_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_copied_in_graph_with_different_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_empty_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_upcasting_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_chunk_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_clamp_type_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_compar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_complex_from_real_imag_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_fill_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv2d_backward_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_channels_last_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_functional_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_shape_check_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_copy_non_blocking_is_pinned_use_cat_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_scalar_with_cpu_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_scalar_with_cpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_scalar_with_gpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cummin_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_no_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_pattern_matcher_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_op_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_would_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_data_type_propogation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_deterministic_codegen_on_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_deterministic_codegen_with_suffix_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_device_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_diagonal_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_deterministic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_elu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_byte_unpack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expanded_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_no_mutated_tensors_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmod_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_boolean_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fuse_large_params_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gelu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_generate_rand_fp8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_generated_code_has_alignment_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_getitem_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gpu_scalar_with_cpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gpu_scalar_with_gpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_argmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_misaligned_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_scalar_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_unbacked_symint_as_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_grid_sampler_expand_preserves_view_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_hardswish_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_fallback1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inductor_multiple_specializations_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_int_input_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_invalid_operand_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_grid_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_offset_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linalg_eig_stride_consistency_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lite_dynamic_shape_assertion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lite_mode_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lite_regional_compile_invoke_subgraph_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_log1p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_log_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_2_dim_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_min_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d6_dilation_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_min_max_reduction_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mul_index_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mul_softmax_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_threading_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_sum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mutations_loop_fusion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_new_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_op_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_specization_over_symbolic_value_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_norm_constant_overflow_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pad_cast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_airy_ai_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_j0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erf_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_expit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_expm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_h_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i1e_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_logit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_polygamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_spherical_bessel_j0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rand_like_deterministic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_distribution_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reduction4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_Tensor_decomp_int32_nd_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_decomposition_has_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rsqrt_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scaled_dot_product_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scaled_dot_product_efficient_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_True_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_unaligned_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sgn_extremal_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sizehint_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_backward_data_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_one_kernel_loop_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_softmax_one_kernel_persist_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_strided_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue1_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_memory_format_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_transpose_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unbacked_floordiv_simplify_errors_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unbind_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unsqueeze_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_cat_conv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_var_correction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_var_novec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_detach_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_weight_norm_conv2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_where_with_logical_op_dynamic_shapes_cpu
2025-12-04T09:44:43.1411166Z 
2025-12-04T09:44:43.1411642Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 2/3 ... [2025-12-04 09:44:43.105540][1968.296175544], took 5.98min
2025-12-04T09:44:43.1413315Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-a4c0f1da46941ac4.xml
2025-12-04T09:44:43.1884271Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:44:43.188159][1968.37879556]
2025-12-04T09:44:43.1884842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:43.1887437Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.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 09:44:43.188494]
2025-12-04T09:44:51.0731828Z 
2025-12-04T09:44:51.0733853Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_bfdec4ed56fdd8bb_.log
2025-12-04T09:44:51.0735863Z 
2025-12-04T09:44:51.0736624Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:44:51.072937][1976.263573971], took 0.13min
2025-12-04T09:44:51.0746027Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:44:51.074354][1976.264992551]
2025-12-04T09:44:51.0747016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:51.0750777Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_activation_checkpointing.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 09:44:51.074740]
2025-12-04T09:45:00.1541460Z 
2025-12-04T09:45:00.1543140Z 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_234e1aa71f0bfaa3_.log
2025-12-04T09:45:00.1552523Z Running 6 items in this shard: test/dynamo/test_activation_checkpointing.py::RematerializeACNodesPassTests::test_ac_rematerialize_simple_forward_backward, test/dynamo/test_activation_checkpointing.py::RematerializeACNodesPassTests::test_ac_rematerialize_with_no_annotations_warns_and_returns_unchanged, test/dynamo/test_activation_checkpointing.py::RematerializeACNodesPassTests::test_ac_rematerialize_with_rng_ops_raises_error, test/dynamo/test_activation_checkpointing.py::RematerializeACNodesPassTests::test_ac_rematerialize_with_selective_checkpoint_policy, test/dynamo/test_activation_checkpointing.py::RematerializeACNodesPassTests::test_joint_graph_passes_permute_optimization, test/dynamo/test_activation_checkpointing.py::RematerializeACNodesPassTests::test_joint_graph_passes_view_optimization
2025-12-04T09:45:00.1560193Z 
2025-12-04T09:45:00.1560857Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:45:00.153953][1985.344590827], took 0.15min
2025-12-04T09:45:00.1563305Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-3bde3f84ebb160e0.xml
2025-12-04T09:45:00.2235524Z Running dynamo/test_repros 1/1 ... [2025-12-04 09:45:00.223191][1985.413827677]
2025-12-04T09:45:00.2236344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:00.2238874Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_repros.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 09:45:00.223554]
2025-12-04T09:47:20.2487015Z 
2025-12-04T09:47:20.2490182Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_20eda67afb813b07_.log
2025-12-04T09:47:20.2589452Z Running 323 items in this shard: test/dynamo/test_repros.py::LRUCacheWarningTests::test_lru_cache_warning_issued_during_tracing, test/dynamo/test_repros.py::ReproTests::test_312_local_cell_overlap, test/dynamo/test_repros.py::ReproTests::test_Size, test/dynamo/test_repros.py::ReproTests::test_abc_setattr, test/dynamo/test_repros.py::ReproTests::test_add_complex_conj, test/dynamo/test_repros.py::ReproTests::test_add_sub_alpha_out, test/dynamo/test_repros.py::ReproTests::test_addr_alpha_beta_out, test/dynamo/test_repros.py::ReproTests::test_amp_foreach_fake_impl, test/dynamo/test_repros.py::ReproTests::test_aot_autograd_runtime_wrapper_prologue_profiled, test/dynamo/test_repros.py::ReproTests::test_as_strided_on_base_with_mutation_works, test/dynamo/test_repros.py::ReproTests::test_as_strided_on_existing_view_banned, test/dynamo/test_repros.py::ReproTests::test_attached_attribute_in_dir, test/dynamo/test_repros.py::ReproTests::test_autograd_function_graph_break, test/dynamo/test_repros.py::ReproTests::test_avoid_dupe_specialization, test/dynamo/test_repros.py::ReproTests::test_batch_encoding_clone_inputs, test/dynamo/test_repros.py::ReproTests::test_batch_norm_act, test/dynamo/test_repros.py::ReproTests::test_batchnorm_e2e, test/dynamo/test_repros.py::ReproTests::test_bigbird_unsqueeze_inplace, test/dynamo/test_repros.py::ReproTests::test_bitwise_op_guard, test/dynamo/test_repros.py::ReproTests::test_bitwise_print_precedence, test/dynamo/test_repros.py::ReproTests::test_boxes_len, test/dynamo/test_repros.py::ReproTests::test_build_map_unpack_with_call, test/dynamo/test_repros.py::ReproTests::test_c_defined_metaclass, test/dynamo/test_repros.py::ReproTests::test_cells_unsupported_step_exception, test/dynamo/test_repros.py::ReproTests::test_changing_stride, test/dynamo/test_repros.py::ReproTests::test_chunk_reformer_ff, test/dynamo/test_repros.py::ReproTests::test_class_member, test/dynamo/test_repros.py::ReproTests::test_classmethod_with_slots, test/dynamo/test_repros.py::ReproTests::test_clone_not_memory_dense, test/dynamo/test_repros.py::ReproTests::test_compilation_metrics_on_error, test/dynamo/test_repros.py::ReproTests::test_compile_complex_conj, test/dynamo/test_repros.py::ReproTests::test_compile_copy__int_overload, test/dynamo/test_repros.py::ReproTests::test_compiled_module_truthiness, test/dynamo/test_repros.py::ReproTests::test_const_dict_keyerror, test/dynamo/test_repros.py::ReproTests::test_contains_range_constprop, test/dynamo/test_repros.py::ReproTests::test_convert_boxes_to_pooler_format, test/dynamo/test_repros.py::ReproTests::test_copy_weird_strides, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_dalle2_maybe, test/dynamo/test_repros.py::ReproTests::test_data_attr_mutation_after_saved_for_bw, test/dynamo/test_repros.py::ReproTests::test_dataclass_in_module, test/dynamo/test_repros.py::ReproTests::test_dataclass_init_with_default_factory_with_inputs, test/dynamo/test_repros.py::ReproTests::test_ddp_checkpoint, test/dynamo/test_repros.py::ReproTests::test_dedup_global, test/dynamo/test_repros.py::ReproTests::test_deferred_runtime_asserts, test/dynamo/test_repros.py::ReproTests::test_delattr, test/dynamo/test_repros.py::ReproTests::test_delattr_raises, test/dynamo/test_repros.py::ReproTests::test_delattr_return, test/dynamo/test_repros.py::ReproTests::test_delete_local_error, test/dynamo/test_repros.py::ReproTests::test_deleted_compile_wrapper_segfault, test/dynamo/test_repros.py::ReproTests::test_delsubscr, test/dynamo/test_repros.py::ReproTests::test_delsubscr_raises, test/dynamo/test_repros.py::ReproTests::test_detectron2_instances_cat, test/dynamo/test_repros.py::ReproTests::test_disabling_unpack_hooks_within_compiled_region, test/dynamo/test_repros.py::ReproTests::test_distributions_subclass, test/dynamo/test_repros.py::ReproTests::test_do_paste_mask, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dropout_inline, test/dynamo/test_repros.py::ReproTests::test_dynamic_shape_disable_duck_size, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_double_not_equal, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_float_guard, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_implicit_guard, test/dynamo/test_repros.py::ReproTests::test_dynamic_shapes_right_side, test/dynamo/test_repros.py::ReproTests::test_dynamo_default_lru_cache_behavior, test/dynamo/test_repros.py::ReproTests::test_dynamo_disable_lru_cache_behavior, test/dynamo/test_repros.py::ReproTests::test_dynamo_set_recursion_limit, test/dynamo/test_repros.py::ReproTests::test_dynamo_set_recursion_limit_usage, test/dynamo/test_repros.py::ReproTests::test_ellipsis, test/dynamo/test_repros.py::ReproTests::test_embedding_backward_broadcasting_decomp, test/dynamo/test_repros.py::ReproTests::test_empty_graph_nested_calls_fullgraph_False, test/dynamo/test_repros.py::ReproTests::test_empty_graph_nested_calls_fullgraph_True, test/dynamo/test_repros.py::ReproTests::test_empty_list_contains_with_jump, test/dynamo/test_repros.py::ReproTests::test_empty_out_dynamic, test/dynamo/test_repros.py::ReproTests::test_enum, test/dynamo/test_repros.py::ReproTests::test_ephemeral_module, test/dynamo/test_repros.py::ReproTests::test_error_return_without_exception_set, test/dynamo/test_repros.py::ReproTests::test_exception_in_dynamo_handling, test/dynamo/test_repros.py::ReproTests::test_exec_import, test/dynamo/test_repros.py::ReproTests::test_exec_wildcard_import, test/dynamo/test_repros.py::ReproTests::test_export_vs_dynamo_for_multiheadattention, test/dynamo/test_repros.py::ReproTests::test_flip_bad_accuracy, test/dynamo/test_repros.py::ReproTests::test_for_loop_graph_break, test/dynamo/test_repros.py::ReproTests::test_for_loop_graph_break_before, test/dynamo/test_repros.py::ReproTests::test_foreach_decomp_arg_names, test/dynamo/test_repros.py::ReproTests::test_fsdp_set_input_mutation_applied_when_input_gets_no_gradients, test/dynamo/test_repros.py::ReproTests::test_function_in_skipfiles, test/dynamo/test_repros.py::ReproTests::test_functools_wraps, test/dynamo/test_repros.py::ReproTests::test_gan_repro_trying_to_backward_through_the_graph_a_second_time, test/dynamo/test_repros.py::ReproTests::test_generator_dealloc, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_type_hints, test/dynamo/test_repros.py::ReproTests::test_global_fn_mutation, test/dynamo/test_repros.py::ReproTests::test_grad, test/dynamo/test_repros.py::ReproTests::test_grad_mode_carrying_correct_state_after_graph_break, test/dynamo/test_repros.py::ReproTests::test_grad_references_cleared, test/dynamo/test_repros.py::ReproTests::test_graph_break_on_jit_isinstance, test/dynamo/test_repros.py::ReproTests::test_graph_break_on_jit_isinstance_pep585, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_guard_default_device, test/dynamo/test_repros.py::ReproTests::test_guard_fail_nested_tuple, test/dynamo/test_repros.py::ReproTests::test_guard_fail_tensor_bool, test/dynamo/test_repros.py::ReproTests::test_guard_ordering_shape_fail, test/dynamo/test_repros.py::ReproTests::test_guard_same_frame_fail_message, test/dynamo/test_repros.py::ReproTests::test_guard_with_tuple_mutation, test/dynamo/test_repros.py::ReproTests::test_hasattr_builtin, test/dynamo/test_repros.py::ReproTests::test_hf_bigbird_unsqueeze, test/dynamo/test_repros.py::ReproTests::test_hf_classinstantier, test/dynamo/test_repros.py::ReproTests::test_hf_gelu_inline, test/dynamo/test_repros.py::ReproTests::test_hf_model_output, test/dynamo/test_repros.py::ReproTests::test_hf_t5_forward, test/dynamo/test_repros.py::ReproTests::test_hf_xsoftmax_inference, test/dynamo/test_repros.py::ReproTests::test_hf_xsoftmax_training, test/dynamo/test_repros.py::ReproTests::test_iadd_graph_break, test/dynamo/test_repros.py::ReproTests::test_incompatible_configs, test/dynamo/test_repros.py::ReproTests::test_indexing_with_list, test/dynamo/test_repros.py::ReproTests::test_inductor_dynamic_shapes_broadcasting, test/dynamo/test_repros.py::ReproTests::test_inductor_no_recursionerror_on_for_loops, test/dynamo/test_repros.py::ReproTests::test_inductor_rng_default_dtype, test/dynamo/test_repros.py::ReproTests::test_inference_mode_dynamic_shapes, test/dynamo/test_repros.py::ReproTests::test_inlining_cornercase, test/dynamo/test_repros.py::ReproTests::test_inplace_unsqueeze_input, test/dynamo/test_repros.py::ReproTests::test_int_format, test/dynamo/test_repros.py::ReproTests::test_intermediate_leaf_requires_grad, test/dynamo/test_repros.py::ReproTests::test_invalid_seq_unpack, test/dynamo/test_repros.py::ReproTests::test_is_make_fx_tracing, test/dynamo/test_repros.py::ReproTests::test_is_symbolic_tracing, test/dynamo/test_repros.py::ReproTests::test_isinstance_dtype, test/dynamo/test_repros.py::ReproTests::test_isinstance_storage, test/dynamo/test_repros.py::ReproTests::test_issue111522, test/dynamo/test_repros.py::ReproTests::test_issue111918, test/dynamo/test_repros.py::ReproTests::test_issue114171, test/dynamo/test_repros.py::ReproTests::test_issue126128, test/dynamo/test_repros.py::ReproTests::test_issue134451, test/dynamo/test_repros.py::ReproTests::test_issue1466_size_aot_autograd, test/dynamo/test_repros.py::ReproTests::test_issue164247_backend_eager, test/dynamo/test_repros.py::ReproTests::test_issue164247_backend_inductor, test/dynamo/test_repros.py::ReproTests::test_issue175, test/dynamo/test_repros.py::ReproTests::test_jit_script_defaults, test/dynamo/test_repros.py::ReproTests::test_jit_trace_errors, test/dynamo/test_repros.py::ReproTests::test_kwargs_out_list_variable, test/dynamo/test_repros.py::ReproTests::test_list_aliasing, test/dynamo/test_repros.py::ReproTests::test_list_index, test/dynamo/test_repros.py::ReproTests::test_list_index_not_found, test/dynamo/test_repros.py::ReproTests::test_list_index_tensor_unsupported, test/dynamo/test_repros.py::ReproTests::test_list_reverse, test/dynamo/test_repros.py::ReproTests::test_list_self_reference, test/dynamo/test_repros.py::ReproTests::test_listcomp, test/dynamo/test_repros.py::ReproTests::test_longformer_chunk, test/dynamo/test_repros.py::ReproTests::test_longtensor_list, test/dynamo/test_repros.py::ReproTests::test_lru_cache_tracing, test/dynamo/test_repros.py::ReproTests::test_maml_item_capture, test/dynamo/test_repros.py::ReproTests::test_maml_no_item_capture, test/dynamo/test_repros.py::ReproTests::test_many_overlapping_inputs_does_not_explode_guards, test/dynamo/test_repros.py::ReproTests::test_many_views_with_mutation, test/dynamo/test_repros.py::ReproTests::test_map_with_multiple_args, test/dynamo/test_repros.py::ReproTests::test_maybe_multiply_symint, test/dynamo/test_repros.py::ReproTests::test_mem_leak_guards, test/dynamo/test_repros.py::ReproTests::test_merge_criteria_processor_list1, test/dynamo/test_repros.py::ReproTests::test_merge_criteria_processor_list2, test/dynamo/test_repros.py::ReproTests::test_method_overriding, test/dynamo/test_repros.py::ReproTests::test_module_in_skipfiles, test/dynamo/test_repros.py::ReproTests::test_modules, test/dynamo/test_repros.py::ReproTests::test_multi_dot_import, test/dynamo/test_repros.py::ReproTests::test_multi_import, test/dynamo/test_repros.py::ReproTests::test_named_buffers, test/dynamo/test_repros.py::ReproTests::test_nanmean_out, test/dynamo/test_repros.py::ReproTests::test_negative_floor_div_solve, test/dynamo/test_repros.py::ReproTests::test_negative_shape_guard, test/dynamo/test_repros.py::ReproTests::test_nested_while_loop_graph_break, test/dynamo/test_repros.py::ReproTests::test_nn_module_callable, test/dynamo/test_repros.py::ReproTests::test_nn_module_property_closure, test/dynamo/test_repros.py::ReproTests::test_nn_module_stack_bc, test/dynamo/test_repros.py::ReproTests::test_nn_param_freevar_codegen, test/dynamo/test_repros.py::ReproTests::test_nn_parameter, test/dynamo/test_repros.py::ReproTests::test_nn_parameter_ctor_graph_breaks, test/dynamo/test_repros.py::ReproTests::test_nn_parametrize, test/dynamo/test_repros.py::ReproTests::test_no_grad_inline, test/dynamo/test_repros.py::ReproTests::test_no_tracing_into_eval_frame, test/dynamo/test_repros.py::ReproTests::test_no_tracing_into_eval_frame_ctx_manager, test/dynamo/test_repros.py::ReproTests::test_nonconst_issubclass, test/dynamo/test_repros.py::ReproTests::test_not_rewrite_assert_for_other_errors, test/dynamo/test_repros.py::ReproTests::test_nullcontext1, test/dynamo/test_repros.py::ReproTests::test_nullcontext2, test/dynamo/test_repros.py::ReproTests::test_numpy_not_ndarray_recompiles, test/dynamo/test_repros.py::ReproTests::test_numpy_tobytes_no_error, test/dynamo/test_repros.py::ReproTests::test_odict_get_item_index_name, test/dynamo/test_repros.py::ReproTests::test_omegaconf_dictconfig, test/dynamo/test_repros.py::ReproTests::test_omegaconf_listconfig_contains, test/dynamo/test_repros.py::ReproTests::test_omegaconf_listconfig_iter, test/dynamo/test_repros.py::ReproTests::test_ones_out_dynamic, test/dynamo/test_repros.py::ReproTests::test_optim_state_references_cleared, test/dynamo/test_repros.py::ReproTests::test_optimized_deepcopy, test/dynamo/test_repros.py::ReproTests::test_optimized_module_patched_init, test/dynamo/test_repros.py::ReproTests::test_optimized_module_training, test/dynamo/test_repros.py::ReproTests::test_os_fspath, test/dynamo/test_repros.py::ReproTests::test_out_nested_cell_shape_change, test/dynamo/test_repros.py::ReproTests::test_out_nested_cell_tuple_shape_change, test/dynamo/test_repros.py::ReproTests::test_out_none, test/dynamo/test_repros.py::ReproTests::test_out_overload_non_contiguous, test/dynamo/test_repros.py::ReproTests::test_out_root_cell_shape_change, test/dynamo/test_repros.py::ReproTests::test_out_root_cell_tuple_shape_change, test/dynamo/test_repros.py::ReproTests::test_output_aliases_intermediate, test/dynamo/test_repros.py::ReproTests::test_overlapping_inputs_with_dynamic_shapes_error, test/dynamo/test_repros.py::ReproTests::test_overwriting_params, test/dynamo/test_repros.py::ReproTests::test_partially_initialized_module_property, test/dynamo/test_repros.py::ReproTests::test_partitioner_activation_memory_budget_with_unbacked_symints, test/dynamo/test_repros.py::ReproTests::test_partitioner_cse_respects_mutation_boundaries, test/dynamo/test_repros.py::ReproTests::test_pointless_graph_removal, test/dynamo/test_repros.py::ReproTests::test_preserve_stride_with_clone, test/dynamo/test_repros.py::ReproTests::test_primtorch, test/dynamo/test_repros.py::ReproTests::test_primtorch_no_graph_break, test/dynamo/test_repros.py::ReproTests::test_randint_out_dynamic, test/dynamo/test_repros.py::ReproTests::test_recursive_map, test/dynamo/test_repros.py::ReproTests::test_reformer_eval, test/dynamo/test_repros.py::ReproTests::test_reformer_min_chunk_len, test/dynamo/test_repros.py::ReproTests::test_reformer_sorting, test/dynamo/test_repros.py::ReproTests::test_reformer_train, test/dynamo/test_repros.py::ReproTests::test_reinplacing, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_requires_grad_guards_with_grad_mode1, test/dynamo/test_repros.py::ReproTests::test_requires_grad_guards_with_grad_mode2, test/dynamo/test_repros.py::ReproTests::test_restricted_list_subclass1, test/dynamo/test_repros.py::ReproTests::test_restricted_list_subclass2, test/dynamo/test_repros.py::ReproTests::test_restricted_list_subclass3, test/dynamo/test_repros.py::ReproTests::test_return_value_duplication_mixed_grad, test/dynamo/test_repros.py::ReproTests::test_return_value_duplication_scalar, test/dynamo/test_repros.py::ReproTests::test_return_value_duplication_tensor, test/dynamo/test_repros.py::ReproTests::test_return_weakref, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_dont_change_bytecode, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_noop, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_with_msg, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_with_non_string_msg, test/dynamo/test_repros.py::ReproTests::test_rewrite_assert_without_msg, test/dynamo/test_repros.py::ReproTests::test_rng_state, test/dynamo/test_repros.py::ReproTests::test_seq_append_list, test/dynamo/test_repros.py::ReproTests::test_setattr_requires_grad_graph_breaks, test/dynamo/test_repros.py::ReproTests::test_setitem_boolean_mask_diff, test/dynamo/test_repros.py::ReproTests::test_setitem_tensor_prop, test/dynamo/test_repros.py::ReproTests::test_setitem_tuple_boolean_mask_diff, test/dynamo/test_repros.py::ReproTests::test_sigmoid_out, test/dynamo/test_repros.py::ReproTests::test_sigmoid_out2, test/dynamo/test_repros.py::ReproTests::test_size_typematch, test/dynamo/test_repros.py::ReproTests::test_slice_into_list_mutable, test/dynamo/test_repros.py::ReproTests::test_slicing_dynamic_shape, test/dynamo/test_repros.py::ReproTests::test_slicing_dynamic_shape_setitem, test/dynamo/test_repros.py::ReproTests::test_sort_out, test/dynamo/test_repros.py::ReproTests::test_sort_out2, test/dynamo/test_repros.py::ReproTests::test_specialized_stride, test/dynamo/test_repros.py::ReproTests::test_split_with_sizes_aot_autograd, test/dynamo/test_repros.py::ReproTests::test_staticmethod_allow_in_graph, test/dynamo/test_repros.py::ReproTests::test_stk_sdd_is_transposed, test/dynamo/test_repros.py::ReproTests::test_stop_iteration_reconstruct, test/dynamo/test_repros.py::ReproTests::test_str_isalnum, test/dynamo/test_repros.py::ReproTests::test_string_format, test/dynamo/test_repros.py::ReproTests::test_subclass_graph_output_repro, test/dynamo/test_repros.py::ReproTests::test_super_classmethod, test/dynamo/test_repros.py::ReproTests::test_super_classmethod_inheritance, test/dynamo/test_repros.py::ReproTests::test_super_diamond, test/dynamo/test_repros.py::ReproTests::test_super_in_staticmethod, test/dynamo/test_repros.py::ReproTests::test_super_staticmethod, test/dynamo/test_repros.py::ReproTests::test_swin_base_tensor_attr, test/dynamo/test_repros.py::ReproTests::test_symint_bitwise, test/dynamo/test_repros.py::ReproTests::test_symnode_is_not_op, test/dynamo/test_repros.py::ReproTests::test_symnode_is_op, test/dynamo/test_repros.py::ReproTests::test_sys_monitoring, test/dynamo/test_repros.py::ReproTests::test_tensor_data_kwarg, test/dynamo/test_repros.py::ReproTests::test_tensor_isinstance_tuple, test/dynamo/test_repros.py::ReproTests::test_tensor_item, test/dynamo/test_repros.py::ReproTests::test_tensor_random, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_aot_eager_func_name_func1, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_aot_eager_func_name_func2, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_aot_eager_func_name_func3, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_eager_func_name_func1, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_eager_func_name_func2, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_eager_func_name_func3, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_inductor_func_name_func1, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_inductor_func_name_func2, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_backend_inductor_func_name_func3, test/dynamo/test_repros.py::ReproTests::test_tensor_set_data_mismatched_dtype, test/dynamo/test_repros.py::ReproTests::test_tensor_split, test/dynamo/test_repros.py::ReproTests::test_tensor_split_within_device_cm, test/dynamo/test_repros.py::ReproTests::test_tensor_uniform, test/dynamo/test_repros.py::ReproTests::test_threading_local, test/dynamo/test_repros.py::ReproTests::test_tokenization, test/dynamo/test_repros.py::ReproTests::test_torch_compile_in_compile_frame, test/dynamo/test_repros.py::ReproTests::test_torch_ops_aten, test/dynamo/test_repros.py::ReproTests::test_torch_tensor_ops, test/dynamo/test_repros.py::ReproTests::test_torch_tensor_ops_no_graph_break, test/dynamo/test_repros.py::ReproTests::test_torch_variable_type, test/dynamo/test_repros.py::ReproTests::test_torchname, test/dynamo/test_repros.py::ReproTests::test_trace_functional_tensor_with, test/dynamo/test_repros.py::ReproTests::test_tuple_enum_as_key_dict, test/dynamo/test_repros.py::ReproTests::test_typed_dict, test/dynamo/test_repros.py::ReproTests::test_typed_dict_total, test/dynamo/test_repros.py::ReproTests::test_udf_classes_reconstruction, test/dynamo/test_repros.py::ReproTests::test_unbacked_arange_in_bounds, test/dynamo/test_repros.py::ReproTests::test_unbind_copy_out, test/dynamo/test_repros.py::ReproTests::test_unpack_hooks_can_be_disabled, test/dynamo/test_repros.py::ReproTests::test_unpack_hooks_dont_run_during_tracing, test/dynamo/test_repros.py::ReproTests::test_unspecialized_nn_module_with_torch_variable_attribute, test/dynamo/test_repros.py::ReproTests::test_unsqueeze_mul_strides, test/dynamo/test_repros.py::ReproTests::test_user_ctor_ctx_manager, test/dynamo/test_repros.py::ReproTests::test_user_ctor_ctx_manager_custom_init, test/dynamo/test_repros.py::ReproTests::test_user_ctor_ctx_manager_custom_init_graph_break, test/dynamo/test_repros.py::ReproTests::test_user_defined_iter, test/dynamo/test_repros.py::ReproTests::test_user_defined_object_callable, test/dynamo/test_repros.py::ReproTests::test_validate_model_kwargs, test/dynamo/test_repros.py::ReproTests::test_vc_bumped_in_inference_graph, test/dynamo/test_repros.py::ReproTests::test_vdd_duplicate_error, test/dynamo/test_repros.py::ReproTests::test_view_dtype_overload, test/dynamo/test_repros.py::ReproTests::test_weakref, test/dynamo/test_repros.py::ReproTests::test_weakref_callback, test/dynamo/test_repros.py::ReproTests::test_weakref_construction, test/dynamo/test_repros.py::ReproTests::test_weakref_del, test/dynamo/test_repros.py::ReproTests::test_weakref_proxy, test/dynamo/test_repros.py::ReproTests::test_weakref_reconstruct, test/dynamo/test_repros.py::ReproTests::test_while_loop_graph_break, test/dynamo/test_repros.py::ReproTests::test_while_loop_graph_break_inside_call_function, test/dynamo/test_repros.py::ReproTests::test_with_on_graph_break_inst, test/dynamo/test_repros.py::ReproTests::test_with_on_graph_break_nested, test/dynamo/test_repros.py::ReproTests::test_zeros_out_dynamic
2025-12-04T09:47:20.2687870Z 
2025-12-04T09:47:20.2688176Z Finished dynamo/test_repros 1/1 ... [2025-12-04 09:47:20.248948][2125.439582371], took 2.33min
2025-12-04T09:47:20.2689309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-71abfaa000c596b1.xml
2025-12-04T09:47:20.3661708Z Running inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:47:20.365840][2125.556473715]
2025-12-04T09:47:20.3662476Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:20.3665566Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.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 09:47:20.366248]
2025-12-04T09:47:28.5423762Z 
2025-12-04T09:47:28.5424830Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_b55c69f83894527a_.log
2025-12-04T09:47:28.5425794Z 
2025-12-04T09:47:28.5426166Z Finished inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:47:28.542151][2133.732786954], took 0.14min
2025-12-04T09:47:28.5445336Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:47:28.544342][2133.734980184]
2025-12-04T09:47:28.5445863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:28.5450006Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_native_matmul.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 09:47:28.544773]
2025-12-04T09:47:36.5395681Z 
2025-12-04T09:47:36.5397330Z inductor/test_native_matmul 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_native_matmul_1.1_8429f639034d3e97_.log
2025-12-04T09:47:36.5398930Z 
2025-12-04T09:47:36.5399573Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:47:36.539319][2141.729954885], took 0.13min
2025-12-04T09:47:36.5410236Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:47:36.540807][2141.73144584]
2025-12-04T09:47:36.5410801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:36.5414428Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_regional_inductor.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 09:47:36.541181]
2025-12-04T09:48:05.6485204Z 
2025-12-04T09:48:05.6486250Z dynamo/test_regional_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_regional_inductor_1.1_492b12b10a0dccee_.log
2025-12-04T09:48:05.6497565Z Running 20 items in this shard: test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_annotation_inductor_configs, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_boxed_calling_convention, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invalid_inductor_config, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_inner_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_inner_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_max_autotune_no_cudagraphs_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_max_autotune_no_cudagraphs_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_repeated_blocks_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_repeated_blocks_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_simple_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_simple_serialize_True, test/dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_compiled_forward_backward, test/dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_output_code_serialization, test/dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_output_code_with_backward
2025-12-04T09:48:05.6507351Z 
2025-12-04T09:48:05.6507728Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:48:05.648348][2170.838983723], took 0.49min
2025-12-04T09:48:05.6508968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-6ca17fdbf636c9c5.xml
2025-12-04T09:48:05.7222751Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:48:05.722007][2170.912642696]
2025-12-04T09:48:05.7223298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:05.7226467Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.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 09:48:05.722371]
2025-12-04T09:49:58.4066021Z 
2025-12-04T09:49:58.4067289Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_aa9c35f96c4876b2_.log
2025-12-04T09:49:58.4076272Z Running 17 items in this shard: test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_gather_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dtensor_compile_redistribute, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_metrics_context, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_reduce_scatter_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_scalar_multiply, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_basic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_dynamic_batch, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_two_inputs_matmul, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_user_defined_triton_kernel, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_user_defined_triton_kernel_autotune
2025-12-04T09:49:58.4085005Z 
2025-12-04T09:49:58.4085373Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:49:58.406400][2283.597036666], took 1.88min
2025-12-04T09:49:58.4086814Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_graph_runnable/dynamo.test_fx_graph_runnable-4defdda460c5f8e2.xml
2025-12-04T09:49:58.4858675Z Running dynamo/test_backends 1/1 ... [2025-12-04 09:49:58.485590][2283.676226999]
2025-12-04T09:49:58.4859333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:58.4862117Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_backends.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 09:49:58.485938]
2025-12-04T09:50:15.2262290Z 
2025-12-04T09:50:15.2263247Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_3fa84a45c74e6ccd_.log
2025-12-04T09:50:15.2267572Z Running 9 items in this shard: test/dynamo/test_backends.py::NormalizeIRTests::test_inplace_normalize, test/dynamo/test_backends.py::MPSSupportedTest::test_mps_supported, test/dynamo/test_backends.py::TestExplainWithBackend::test_explain_with_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_aot_autograd_api, test/dynamo/test_backends.py::TestCustomBackendAPI::test_backend_graph_freeze, test/dynamo/test_backends.py::TestCustomBackendAPI::test_backend_recompilation, test/dynamo/test_backends.py::TestCustomBackendAPI::test_lookup_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_lookup_custom_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_register_backend_api
2025-12-04T09:50:15.2270926Z 
2025-12-04T09:50:15.2271244Z Finished dynamo/test_backends 1/1 ... [2025-12-04 09:50:15.226007][2300.416643649], took 0.28min
2025-12-04T09:50:15.2277675Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_backends/dynamo.test_backends-67da6788426d5a50.xml
2025-12-04T09:50:15.3178790Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 09:50:15.317590][2300.508226933]
2025-12-04T09:50:15.3179382Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:15.3182542Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.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 09:50:15.317945]
2025-12-04T09:50:23.3942025Z 
2025-12-04T09:50:23.3943645Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_d5a61f1f83165a8e_.log
2025-12-04T09:50:23.3989057Z Running 37 items in this shard: test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_check_device, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_10240_m_2_k_2_n_2_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_10240_m_2_k_32_n_32_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_2000_m_2_k_2_n_2_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_cpu_b_1_m_2_k_2_n_2_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_cpu_b_2_m_2_k_2_n_2_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_1_k_64_n_16_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_1_k_64_n_32_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_2_k_64_n_16_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_decompose_addmm, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_realize_input
2025-12-04T09:50:23.4033345Z 
2025-12-04T09:50:23.4033978Z Finished inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 09:50:23.394060][2308.584691487], took 0.13min
2025-12-04T09:50:23.4036382Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_decompose_mem_bound_mm/inductor.test_decompose_mem_bound_mm-f62f17e12dc4d7ca.xml
2025-12-04T09:50:23.4911359Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:50:23.490819][2308.681456584]
2025-12-04T09:50:23.4912207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:23.4915600Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.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 09:50:23.491191]
2025-12-04T09:50:32.5668620Z 
2025-12-04T09:50:32.5669629Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_1e569e0e60ded730_.log
2025-12-04T09:50:32.5670424Z 
2025-12-04T09:50:32.5671036Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:50:32.566623][2317.757261024], took 0.15min
2025-12-04T09:50:32.5689068Z Running dynamo/test_streams 1/1 ... [2025-12-04 09:50:32.568701][2317.759339064]
2025-12-04T09:50:32.5689927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:32.5693539Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_streams.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 09:50:32.569106]
2025-12-04T09:50:36.4894629Z 
2025-12-04T09:50:36.4895528Z dynamo/test_streams 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_streams_1.1_1daabd22ff9931db_.log
2025-12-04T09:50:36.4904899Z Running 28 items in this shard: test/dynamo/test_streams.py::TestStreams::test_current_stream_api, test/dynamo/test_streams.py::TestStreams::test_event_tracing, test/dynamo/test_streams.py::TestStreams::test_event_weakref, test/dynamo/test_streams.py::TestStreams::test_get_current_stream_return, test/dynamo/test_streams.py::TestStreams::test_get_current_stream_return_different_device, test/dynamo/test_streams.py::TestStreams::test_get_current_stream_return_no_index, test/dynamo/test_streams.py::TestStreams::test_inductor_lowering, test/dynamo/test_streams.py::TestStreams::test_is_marked_side_effectful, test/dynamo/test_streams.py::TestStreams::test_local_stream_enter_exit, test/dynamo/test_streams.py::TestStreams::test_local_stream_nested_enter_exit, test/dynamo/test_streams.py::TestStreams::test_local_stream_return, test/dynamo/test_streams.py::TestStreams::test_nested_stream_enter_exit, test/dynamo/test_streams.py::TestStreams::test_nested_stream_enter_exit_graph_break, test/dynamo/test_streams.py::TestStreams::test_new_event_api, test/dynamo/test_streams.py::TestStreams::test_new_stream_api, test/dynamo/test_streams.py::TestStreams::test_record_stream_problem_basic, test/dynamo/test_streams.py::TestStreams::test_record_stream_problem_interleaved, test/dynamo/test_streams.py::TestStreams::test_run_opcheck_fork_join, test/dynamo/test_streams.py::TestStreams::test_run_opcheck_wait_record, test/dynamo/test_streams.py::TestStreams::test_run_opcheck_wait_record_stream, test/dynamo/test_streams.py::TestStreams::test_stream_backward_simple, test/dynamo/test_streams.py::TestStreams::test_stream_backward_sync, test/dynamo/test_streams.py::TestStreams::test_stream_context_graph_break, test/dynamo/test_streams.py::TestStreams::test_stream_enter_exit, test/dynamo/test_streams.py::TestStreams::test_stream_enter_exit_graph_break, test/dynamo/test_streams.py::TestStreams::test_stream_input, test/dynamo/test_streams.py::TestStreams::test_stream_weakref, test/dynamo/test_streams.py::TestStreams::test_stream_with_mutation
2025-12-04T09:50:36.4914631Z 
2025-12-04T09:50:36.4914948Z Finished dynamo/test_streams 1/1 ... [2025-12-04 09:50:36.489170][2321.679807151], took 0.07min
2025-12-04T09:50:36.4916058Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_streams/dynamo.test_streams-6744b2680aecd2a7.xml
2025-12-04T09:50:36.5726854Z Running inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:50:36.572411][2321.763047255]
2025-12-04T09:50:36.5727433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:36.5730279Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_unbacked_symints.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 09:50:36.572743]
2025-12-04T09:50:44.5998283Z 
2025-12-04T09:50:44.5999326Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_539baffae5a25618_.log
2025-12-04T09:50:44.6000274Z Running 0 items in this shard:
2025-12-04T09:50:44.6000477Z 
2025-12-04T09:50:44.6001156Z Finished inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:50:44.599243][2329.789879203], took 0.13min
2025-12-04T09:50:44.6014226Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-72f34bdd943d6d3f.xml
2025-12-04T09:50:44.8375751Z Uploading artifacts took 0.18 seconds
2025-12-04T09:50:44.8379881Z Running inductor/test_padding 1/1 ... [2025-12-04 09:50:44.837764][2330.028400967]
2025-12-04T09:50:44.8380414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:44.8384352Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_padding.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 09:50:44.838177]
2025-12-04T09:50:52.7857066Z 
2025-12-04T09:50:52.7858029Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_ab8dd012e5ce4f07_.log
2025-12-04T09:50:52.7858803Z 
2025-12-04T09:50:52.7859114Z Finished inductor/test_padding 1/1 ... [2025-12-04 09:50:52.785502][2337.976138796], took 0.13min
2025-12-04T09:50:52.7880585Z Running dynamo/test_aot_compile 1/1 ... [2025-12-04 09:50:52.787866][2337.978504015]
2025-12-04T09:50:52.7881105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:52.7884542Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_compile.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 09:50:52.788224]
2025-12-04T09:51:56.9504089Z 
2025-12-04T09:51:56.9505542Z dynamo/test_aot_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_compile_1.1_c277e230b8babfe1_.log
2025-12-04T09:51:56.9525865Z Running 25 items in this shard: test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_basic_fn, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_basic_fn_inductor, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_basic_forward, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_disable_guard_check, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_grad_mode_after_prior_compile, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_graph_break_error_fmt, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_module, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_repeat_interleave, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_source_info, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_aoti, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_aoti_module, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_aoti_torch_compile, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_checkpoint, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_closure_save_and_load, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_default_args, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_global_tensor, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_compile_with_super_call, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_module_simplified_serializable_autograd, test/dynamo/test_aot_compile.py::TestAOTCompile::test_aot_module_simplified_serializable_inference, test/dynamo/test_aot_compile.py::TestAOTCompile::test_decorated_function_aot, test/dynamo/test_aot_compile.py::TestAOTCompile::test_decorated_function_with_functools_wrap_aot, test/dynamo/test_aot_compile.py::TestAOTCompile::test_external_refs_validation, test/dynamo/test_aot_compile.py::TestAOTCompile::test_fullgraph_capture_with_pytree_func, test/dynamo/test_aot_compile.py::TestAOTCompile::test_fullgraph_capture_with_pytree_module, test/dynamo/test_aot_compile.py::TestAOTCompile::test_guard_filter_override_aot
2025-12-04T09:51:56.9545488Z 
2025-12-04T09:51:56.9546011Z Finished dynamo/test_aot_compile 1/1 ... [2025-12-04 09:51:56.950184][2402.140821054], took 1.07min
2025-12-04T09:51:56.9548020Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_compile/dynamo.test_aot_compile-f2ca274675cb3be0.xml
2025-12-04T09:51:57.0226901Z Running dynamo/test_decorators 1/1 ... [2025-12-04 09:51:57.022414][2402.213051365]
2025-12-04T09:51:57.0227741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:57.0230834Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_decorators.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 09:51:57.022749]
2025-12-04T09:52:15.8145953Z 
2025-12-04T09:52:15.8147415Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_80e3135264db7d43_.log
2025-12-04T09:52:15.8206460Z Running 73 items in this shard: test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph_no_id_reuse, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_computation_with_graph_input, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_user_defined_fn, test/dynamo/test_decorators.py::DecoratorTests::test_class_methods, test/dynamo/test_decorators.py::DecoratorTests::test_disable_for_custom_op, test/dynamo/test_decorators.py::DecoratorTests::test_disable_ignores_outer_wraps, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_module_with_class_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_modules_forward_hook, test/dynamo/test_decorators.py::DecoratorTests::test_disable_optimize, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false_weird, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_flags, test/dynamo/test_decorators.py::DecoratorTests::test_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_dont_skip_tracing, test/dynamo/test_decorators.py::DecoratorTests::test_dynamo_disable_annotations, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_empty_graph, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_error, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_export, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_fullgraph, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nested, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nested_deep, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nested_with_skip, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nonempty_checkpoint, test/dynamo/test_decorators.py::DecoratorTests::test_fail_on_recompile_shows_guard_details, test/dynamo/test_decorators.py::DecoratorTests::test_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_incorrect_usage_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_guarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_unguarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_nn_module, test/dynamo/test_decorators.py::DecoratorTests::test_nested_compile_error_on_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_nested_compile_fullgraph, test/dynamo/test_decorators.py::DecoratorTests::test_nested_disable_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_newly_constructed_trace_register_constant_type_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_captured_external_tensor, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_custom_class_output_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_kwarg, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_int_and_float_output, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_no_action_at_a_distance, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_object_in_context_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_on_method, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_register_constant_type_guard, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tensor_args, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tuple_and_sym_int_output, test/dynamo/test_decorators.py::DecoratorTests::test_patch_dynamo_config_errors, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_aot_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_forbid_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_eager, test/dynamo/test_decorators.py::DecoratorTests::test_skip_frame, test/dynamo/test_decorators.py::DecoratorTests::test_step_unsupported, test/dynamo/test_decorators.py::DecoratorTests::test_step_unsupported_empty_checkpoint, test/dynamo/test_decorators.py::DecoratorTests::test_substitute_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_disable, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_partially_disable
2025-12-04T09:52:15.8263654Z 
2025-12-04T09:52:15.8264160Z Finished dynamo/test_decorators 1/1 ... [2025-12-04 09:52:15.814449][2421.005086292], took 0.31min
2025-12-04T09:52:15.8266238Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_decorators/dynamo.test_decorators-c36a9be87a007529.xml
2025-12-04T09:52:15.8905400Z Running test_varlen_attention 1/1 ... [2025-12-04 09:52:15.890230][2421.080867205]
2025-12-04T09:52:15.8906227Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:15.8909634Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:52:15.890590]
2025-12-04T09:52:19.4722782Z 
2025-12-04T09:52:19.4724149Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_cd0d32ca6bbb067e_.log
2025-12-04T09:52:19.4725586Z Running 0 items in this shard:
2025-12-04T09:52:19.4725903Z 
2025-12-04T09:52:19.4726384Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:52:19.472072][2424.662708711], took 0.06min
2025-12-04T09:52:19.4746244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-d52df96129c4b5a7.xml
2025-12-04T09:52:19.5030035Z Running test_sparse 1/1 ... [2025-12-04 09:52:19.502660][2424.693296508]
2025-12-04T09:52:19.5030807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:19.5033060Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse.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 09:52:19.503002]
2025-12-04T09:52:27.6293414Z 
2025-12-04T09:52:27.6294781Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_ee04524e25dee670_.log
2025-12-04T09:52:27.6322429Z Running 43 items in this shard: test/test_sparse.py::TestSparseLegacyAndDeprecation::test_legacy_warnings, test/test_sparse.py::TestSparseOneOff::test_cuda_from_cpu, test/test_sparse.py::TestSparseOneOff::test_cuda_sparse_cpu_dense_add, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_to_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_to_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_to_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_to_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_to_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_fake_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_fake_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_fake_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_fake_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_fake_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_zeros_like_meta_SparseCSR_float64
2025-12-04T09:52:27.6349196Z 
2025-12-04T09:52:27.6349576Z Finished test_sparse 1/1 ... [2025-12-04 09:52:27.629140][2432.819776843], took 0.14min
2025-12-04T09:52:27.6351261Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse/test_sparse-9feb5a7f885291ad.xml
2025-12-04T09:52:27.7094508Z Running higher_order_ops/test_local_map 1/1 ... [2025-12-04 09:52:27.709114][2432.899750945]
2025-12-04T09:52:27.7095404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:27.7099145Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_local_map.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 09:52:27.709552]
2025-12-04T09:52:37.6885651Z 
2025-12-04T09:52:37.6887204Z higher_order_ops/test_local_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_local_map_1.1_27f27fba1d942953_.log
2025-12-04T09:52:37.6897389Z Running 12 items in this shard: test/higher_order_ops/test_local_map.py::TestLocalMap::test_filtered_gradients, test/higher_order_ops/test_local_map.py::TestLocalMap::test_fx_annotations, test/higher_order_ops/test_local_map.py::TestLocalMap::test_local_map_dynamo_mismatch_placements, test/higher_order_ops/test_local_map.py::TestLocalMap::test_local_map_dynamo_reordered_inputs, test/higher_order_ops/test_local_map.py::TestLocalMap::test_local_map_with_local_shapes_dynamo_tracing, test/higher_order_ops/test_local_map.py::TestLocalMap::test_local_map_with_local_shapes_hop_tracing, test/higher_order_ops/test_local_map.py::TestLocalMap::test_none_gradients, test/higher_order_ops/test_local_map.py::TestLocalMap::test_none_placements, test/higher_order_ops/test_local_map.py::TestLocalMap::test_sac, test/higher_order_ops/test_local_map.py::TestLocalMap::test_sac_deferred, test/higher_order_ops/test_local_map.py::TestLocalMap::test_simple, test/higher_order_ops/test_local_map.py::TestLocalMap::test_symint_activations
2025-12-04T09:52:37.6906403Z 
2025-12-04T09:52:37.6906964Z Finished higher_order_ops/test_local_map 1/1 ... [2025-12-04 09:52:37.688352][2442.878988674], took 0.17min
2025-12-04T09:52:37.6919414Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_local_map/higher_order_ops.test_local_map-457c5781d7e722f9.xml
2025-12-04T09:52:37.7677009Z Running test_dataloader 1/1 ... [2025-12-04 09:52:37.767393][2442.958029679]
2025-12-04T09:52:37.7677567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:37.7680631Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.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 09:52:37.767795]
2025-12-04T10:00:01.1156637Z 
2025-12-04T10:00:01.1157537Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_b2fe2712a2c18cca_.log
2025-12-04T10:00:01.1222775Z Running 182 items in this shard: test/test_dataloader.py::TestDatasetRandomSplit::test_incomplete_fractional_splits, test/test_dataloader.py::TestDatasetRandomSplit::test_lengths_must_equal_dataset_size, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_dataset, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_subset, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_are_mutually_exclusive, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_generator, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_have_correct_size, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_indexing_type, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_reproducibility, test/test_dataloader.py::TestTensorDataset::test_getitem, test/test_dataloader.py::TestTensorDataset::test_getitem_1d, test/test_dataloader.py::TestTensorDataset::test_len, test/test_dataloader.py::TestTensorDataset::test_many_tensors, test/test_dataloader.py::TestTensorDataset::test_single_tensor, test/test_dataloader.py::TestStackDataset::test_empty, test/test_dataloader.py::TestStackDataset::test_getitem, test/test_dataloader.py::TestStackDataset::test_getitems, test/test_dataloader.py::TestStackDataset::test_getitems_raises_index_error, test/test_dataloader.py::TestStackDataset::test_getitems_value_error, test/test_dataloader.py::TestStackDataset::test_len, test/test_dataloader.py::TestStackDataset::test_mixed, test/test_dataloader.py::TestStackDataset::test_single, test/test_dataloader.py::TestStackDataset::test_size_mismatch, test/test_dataloader.py::TestConcatDataset::test_add_dataset, test/test_dataloader.py::TestConcatDataset::test_concat_raises_index_error, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons_with_empty, test/test_dataloader.py::TestConcatDataset::test_concat_two_singletons, test/test_dataloader.py::TestConcatDataset::test_iterable_dataset_err, test/test_dataloader.py::TestDataLoader::test_batch_sampler, test/test_dataloader.py::TestDataLoader::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoader::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoader::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoader::test_default_collate_dtype, test/test_dataloader.py::TestDataLoader::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoader::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoader::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoader::test_error, test/test_dataloader.py::TestDataLoader::test_error_in_init, test/test_dataloader.py::TestDataLoader::test_error_workers, test/test_dataloader.py::TestDataLoader::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoader::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoader::test_get_worker_info, test/test_dataloader.py::TestDataLoader::test_growing_dataset, test/test_dataloader.py::TestDataLoader::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoader::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoader::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_iterabledataset_len, test/test_dataloader.py::TestDataLoader::test_large_sampler_indices, test/test_dataloader.py::TestDataLoader::test_len, test/test_dataloader.py::TestDataLoader::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoader::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoader::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoader::test_no_segfault, test/test_dataloader.py::TestDataLoader::test_numpy, test/test_dataloader.py::TestDataLoader::test_numpy_gen_state, test/test_dataloader.py::TestDataLoader::test_numpy_scalars, test/test_dataloader.py::TestDataLoader::test_partial_workers, test/test_dataloader.py::TestDataLoader::test_proper_exit, test/test_dataloader.py::TestDataLoader::test_random_sampler, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoader::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoader::test_sampler, test/test_dataloader.py::TestDataLoader::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoader::test_segfault, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoader::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoader::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoader::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoader::test_sequential_workers, test/test_dataloader.py::TestDataLoader::test_shuffle, test/test_dataloader.py::TestDataLoader::test_shuffle_batch, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoader::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoader::test_shuffle_workers, test/test_dataloader.py::TestDataLoader::test_timeout, test/test_dataloader.py::TestDataLoader::test_typing, test/test_dataloader.py::TestDataLoader::test_worker_init_fn, test/test_dataloader.py::TestDataLoader::test_worker_init_fn_forkserver, test/test_dataloader.py::TestDataLoader::test_worker_seed, test/test_dataloader.py::TestDataLoader::test_worker_seed_reproducibility, test/test_dataloader.py::IntegrationTestDataLoaderDataPipe::test_shuffler_iterdatapipe, test/test_dataloader.py::TestStringDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_device, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_no_cuda, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_with_only_device, test/test_dataloader.py::TestDictDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_batch_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_dataset_not_reset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_dtype, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_early_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_in_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_get_worker_info, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_growing_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterabledataset_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_large_sampler_indices, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_no_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_gen_state, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_scalars, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_partial_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_proper_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_timeout, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_typing, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_init_fn, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_init_fn_forkserver, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed_reproducibility, test/test_dataloader.py::TestNamedTupleDataLoader::test_dataloader_with_namedtuple, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin_worker, test/test_dataloader.py::TestIndividualWorkerQueue::test_ind_worker_queue, test/test_dataloader.py::TestSetAffinity::test_set_affinity_in_worker_init, test/test_dataloader.py::TestConvAfterFork::test_conv_after_fork, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_iterable_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_iterable_ds
2025-12-04T10:00:01.1286775Z 
2025-12-04T10:00:01.1287060Z Finished test_dataloader 1/1 ... [2025-12-04 10:00:01.115485][2886.306119348], took 7.39min
2025-12-04T10:00:01.1288103Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-be89a379034b9207.xml
2025-12-04T10:00:01.2100854Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 10:00:01.209744][2886.400377506]
2025-12-04T10:00:01.2101395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:01.2104313Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:00:01.210131]
2025-12-04T10:00:16.4700543Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 10:00:16.469639][2901.660273231], took 0.25min
2025-12-04T10:00:16.4730802Z Running test_ops_gradients 1/1 ... [2025-12-04 10:00:16.472805][2901.663442671]
2025-12-04T10:00:16.4731293Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:16.4734073Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:00:16.473152]
2025-12-04T10:00:21.3361871Z 
2025-12-04T10:00:21.3362710Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_de6aa0e9571838d6_.log
2025-12-04T10:00:21.3363563Z Running 0 items in this shard:
2025-12-04T10:00:21.3363770Z 
2025-12-04T10:00:21.3364060Z Finished test_ops_gradients 1/1 ... [2025-12-04 10:00:21.335817][2906.526454574], took 0.08min
2025-12-04T10:00:21.3389347Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-e1d6ff44853d4137.xml
2025-12-04T10:00:21.4150295Z Running functorch/test_ops 1/1 ... [2025-12-04 10:00:21.414665][2906.605300699]
2025-12-04T10:00:21.4150814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:21.4153400Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_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 10:00:21.415057]
2025-12-04T10:00:27.1291263Z 
2025-12-04T10:00:27.1292175Z functorch/test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.1_4a52435048d5557f_.log
2025-12-04T10:00:27.1293028Z Running 0 items in this shard:
2025-12-04T10:00:27.1293236Z 
2025-12-04T10:00:27.1293763Z Finished functorch/test_ops 1/1 ... [2025-12-04 10:00:27.128948][2912.319584252], took 0.10min
2025-12-04T10:00:27.1329757Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-b145c59d643019d3.xml
2025-12-04T10:00:27.1595182Z Running doctests 1/1 ... [2025-12-04 10:00:27.159249][2912.349885268]
2025-12-04T10:00:27.6984712Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368.
2025-12-04T10:00:27.6985740Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:27.6986397Z Registers the function implementation as the fallback for the given key.
2025-12-04T10:00:27.6986805Z 
2025-12-04T10:00:27.6987036Z         This function only works for a library with global namespace ("_").
2025-12-04T10:00:27.6987410Z 
2025-12-04T10:00:27.6987501Z         Args:
2025-12-04T10:00:27.6987949Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T10:00:27.6988510Z                 to register a fallthrough.
2025-12-04T10:00:27.6989080Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T10:00:27.6989742Z                           the dispatch key that the library was created with.
2025-12-04T10:00:27.6990434Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T10:00:27.6991311Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T10:00:27.6991779Z 
2025-12-04T10:00:27.6991899Z         Example::
2025-12-04T10:00:27.6992264Z 
2025-12-04T10:00:27.6992380Z             >>> my_lib = Library("_", "IMPL")
2025-12-04T10:00:27.6992758Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T10:00:27.6993143Z             >>>     # Handle all autocast ops generically
2025-12-04T10:00:27.6993498Z             >>>     # ...
2025-12-04T10:00:27.6994104Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T10:00:27.6994472Z         
2025-12-04T10:00:27.6995258Z 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))
2025-12-04T10:00:27.6996069Z 
2025-12-04T10:00:27.6996206Z my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T10:00:27.6996549Z ^
2025-12-04T10:00:27.7128942Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958.
2025-12-04T10:00:27.7129892Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:27.7130535Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T10:00:27.7130913Z 
2025-12-04T10:00:27.7143111Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T10:00:27.7143533Z 
2025-12-04T10:00:27.7143833Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T10:00:27.7144476Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T10:00:27.7145174Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T10:00:27.7145697Z     what the properties of the output Tensors are.
2025-12-04T10:00:27.7145987Z 
2025-12-04T10:00:27.7146235Z     The FakeTensor implementation has the same signature as the operator.
2025-12-04T10:00:27.7146839Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T10:00:27.7147426Z     implementation, assume that all Tensor inputs to the operator are
2025-12-04T10:00:27.7148003Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T10:00:27.7148559Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T10:00:27.7149149Z     The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T10:00:27.7149895Z     (and may not directly access the storage or data of any input or
2025-12-04T10:00:27.7150340Z     intermediate Tensors).
2025-12-04T10:00:27.7150545Z 
2025-12-04T10:00:27.7150704Z     This API may be used as a decorator (see examples).
2025-12-04T10:00:27.7150982Z 
2025-12-04T10:00:27.7151141Z     For a detailed guide on custom ops, please see
2025-12-04T10:00:27.7151659Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T10:00:27.7152038Z 
2025-12-04T10:00:27.7152127Z     Args:
2025-12-04T10:00:27.7152490Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T10:00:27.7152961Z         func: Fake tensor implementation.
2025-12-04T10:00:27.7153414Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T10:00:27.7153939Z         allow_override: Flag controlling if we want to override an
2025-12-04T10:00:27.7154439Z                         existing registered fake impl. This is by default off,
2025-12-04T10:00:27.7154928Z                         and will error you're trying to register a fake impl to
2025-12-04T10:00:27.7155420Z                         an operator that already has a fake impl. This also only
2025-12-04T10:00:27.7155901Z                         applies if the custom operator was not created via
2025-12-04T10:00:27.7156387Z                         torch.library.custom_op, as overriding and existing fake
2025-12-04T10:00:27.7156835Z                         impl is already allowed.
2025-12-04T10:00:27.7157082Z 
2025-12-04T10:00:27.7157174Z     Examples:
2025-12-04T10:00:27.7157416Z         >>> import torch
2025-12-04T10:00:27.7157690Z         >>> import numpy as np
2025-12-04T10:00:27.7158091Z         >>> from torch import Tensor
2025-12-04T10:00:27.7158401Z         >>>
2025-12-04T10:00:27.7158721Z         >>> # Example 1: an operator without data-dependent output shape
2025-12-04T10:00:27.7159295Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T10:00:27.7159888Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T10:00:27.7160429Z         >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T10:00:27.7160833Z         >>>
2025-12-04T10:00:27.7161144Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T10:00:27.7161550Z         >>> def _(x, weight, bias):
2025-12-04T10:00:27.7161857Z         >>>     assert x.dim() == 2
2025-12-04T10:00:27.7162186Z         >>>     assert weight.dim() == 2
2025-12-04T10:00:27.7162527Z         >>>     assert bias.dim() == 1
2025-12-04T10:00:27.7162870Z         >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T10:00:27.7163265Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T10:00:27.7163650Z         >>>     assert x.device == weight.device
2025-12-04T10:00:27.7163970Z         >>>
2025-12-04T10:00:27.7164221Z         >>>     return (x @ weight.t()) + bias
2025-12-04T10:00:27.7164547Z         >>>
2025-12-04T10:00:27.7164864Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T10:00:27.7165265Z         >>>     x = torch.randn(2, 3)
2025-12-04T10:00:27.7165593Z         >>>     w = torch.randn(3, 3)
2025-12-04T10:00:27.7165915Z         >>>     b = torch.randn(3)
2025-12-04T10:00:27.7166257Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T10:00:27.7166614Z         >>>
2025-12-04T10:00:27.7166851Z         >>> assert y.shape == (2, 3)
2025-12-04T10:00:27.7167142Z         >>>
2025-12-04T10:00:27.7167456Z         >>> # Example 2: an operator with data-dependent output shape
2025-12-04T10:00:27.7167998Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T10:00:27.7168482Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T10:00:27.7168852Z         >>>     x_np = x.numpy(force=True)
2025-12-04T10:00:27.7169224Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T10:00:27.7169620Z         >>>     return torch.tensor(res, device=x.device)
2025-12-04T10:00:27.7169957Z         >>>
2025-12-04T10:00:27.7170337Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T10:00:27.7170733Z         >>> def _(x):
2025-12-04T10:00:27.7171066Z         >>> # Number of nonzero-elements is data-dependent.
2025-12-04T10:00:27.7171509Z         >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T10:00:27.7171962Z         >>> # we use the ctx object to construct a new symint that
2025-12-04T10:00:27.7172385Z         >>> # represents the data-dependent size.
2025-12-04T10:00:27.7172750Z         >>>     ctx = torch.library.get_ctx()
2025-12-04T10:00:27.7173114Z         >>>     nnz = ctx.new_dynamic_size()
2025-12-04T10:00:27.7173461Z         >>>     shape = [nnz, x.dim()]
2025-12-04T10:00:27.7173826Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T10:00:27.7174206Z         >>>     return result
2025-12-04T10:00:27.7174484Z         >>>
2025-12-04T10:00:27.7174789Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T10:00:27.7175195Z         >>>
2025-12-04T10:00:27.7175439Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T10:00:27.7175932Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T10:00:27.7176421Z         >>> trace.print_readable()
2025-12-04T10:00:27.7176724Z         >>>
2025-12-04T10:00:27.7177091Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T10:00:27.7177454Z 
2025-12-04T10:00:27.7177538Z     
2025-12-04T10:00:27.7178219Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T10:00:27.7178964Z 
2025-12-04T10:00:27.7179066Z _._ = None
2025-12-04T10:00:27.7179288Z ^
2025-12-04T10:00:27.7271853Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530.
2025-12-04T10:00:27.7272978Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:27.7273733Z Returns the computed kernel for a given operator and dispatch key.
2025-12-04T10:00:27.7274079Z 
2025-12-04T10:00:27.7274330Z     This function retrieves the kernel that would be executed for a given
2025-12-04T10:00:27.7274936Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T10:00:27.7275520Z     can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T10:00:27.7276079Z     case for this function is to retrieve the original kernel for a given
2025-12-04T10:00:27.7276653Z     dispatch key and then register another kernel to the same dispatch key
2025-12-04T10:00:27.7277196Z     that calls into the original kernel for certain cases.
2025-12-04T10:00:27.7277486Z 
2025-12-04T10:00:27.7277588Z     Args:
2025-12-04T10:00:27.7277931Z         op: Operator name (along with the overload) or OpOverload object
2025-12-04T10:00:27.7278513Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T10:00:27.7279152Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T10:00:27.7279755Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T10:00:27.7280082Z 
2025-12-04T10:00:27.7280171Z     Returns:
2025-12-04T10:00:27.7280575Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T10:00:27.7281076Z             call the kernel.
2025-12-04T10:00:27.7281264Z 
2025-12-04T10:00:27.7281362Z     Raises:
2025-12-04T10:00:27.7281633Z         RuntimeError: If the operator does not exist.
2025-12-04T10:00:27.7281919Z 
2025-12-04T10:00:27.7282007Z     Example:
2025-12-04T10:00:27.7282268Z         >>> # Get the CPU kernel for torch.add
2025-12-04T10:00:27.7282717Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T10:00:27.7283120Z         >>>
2025-12-04T10:00:27.7283379Z         >>> # You can also use DispatchKey enum
2025-12-04T10:00:27.7284047Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T10:00:27.7284526Z         >>>
2025-12-04T10:00:27.7284778Z         >>> # Or use an OpOverload directly
2025-12-04T10:00:27.7285253Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T10:00:27.7285692Z         >>>
2025-12-04T10:00:27.7286050Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T10:00:27.7286535Z         >>> # Get the original kernel for torch.sin
2025-12-04T10:00:27.7287016Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T10:00:27.7287451Z         >>>
2025-12-04T10:00:27.7287819Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T10:00:27.7288340Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T10:00:27.7288694Z         >>>     if (x < 0).any():
2025-12-04T10:00:27.7289097Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T10:00:27.7289509Z         >>>     else:
2025-12-04T10:00:27.7289780Z         >>>         return torch.zeros_like(x)
2025-12-04T10:00:27.7290107Z         >>>
2025-12-04T10:00:27.7290383Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T10:00:27.7290924Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T10:00:27.7291518Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T10:00:27.7292045Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T10:00:27.7292562Z         >>>
2025-12-04T10:00:27.7292801Z         >>> # Test the conditional behavior
2025-12-04T10:00:27.7293166Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T10:00:27.7293537Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T10:00:27.7294131Z         >>> torch.sin(x_positive)
2025-12-04T10:00:27.7294442Z         tensor([0., 0.])
2025-12-04T10:00:27.7294736Z         >>> torch.sin(x_mixed)
2025-12-04T10:00:27.7295037Z         tensor([-0.8415, 0.9093])
2025-12-04T10:00:27.7295315Z     
2025-12-04T10:00:27.7295953Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T10:00:27.7296582Z 
2025-12-04T10:00:27.7296785Z which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T10:00:27.7297178Z       ^
2025-12-04T10:00:28.0367893Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70.
2025-12-04T10:00:28.0368895Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:28.0369548Z Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T10:00:28.0370180Z     required drivers are available and at least one device is visible.
2025-12-04T10:00:28.0370731Z     See :ref:`accelerator<accelerators>` for details.
2025-12-04T10:00:28.0371006Z 
2025-12-04T10:00:28.0371111Z     Returns:
2025-12-04T10:00:28.0371533Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T10:00:28.0371965Z 
2025-12-04T10:00:28.0372251Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T10:00:28.0372912Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T10:00:28.0373573Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T10:00:28.0374119Z         :ref:`multiprocessing-poison-fork-note`.
2025-12-04T10:00:28.0374406Z 
2025-12-04T10:00:28.0374623Z     Example::
2025-12-04T10:00:28.0374766Z 
2025-12-04T10:00:28.0375065Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:28.0375554Z     
2025-12-04T10:00:28.0376499Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T10:00:28.0377225Z 
2025-12-04T10:00:28.0377502Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:28.0378012Z                                         ^
2025-12-04T10:00:28.0400998Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T10:00:28.0401980Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:28.0402595Z Wait for all kernels in all streams on the given device to complete.
2025-12-04T10:00:28.0402951Z 
2025-12-04T10:00:28.0403055Z     Args:
2025-12-04T10:00:28.0403515Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T10:00:28.0404223Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T10:00:28.0404815Z             use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T10:00:28.0405145Z 
2025-12-04T10:00:28.0405567Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T10:00:28.0406015Z 
2025-12-04T10:00:28.0406121Z     Example::
2025-12-04T10:00:28.0406260Z 
2025-12-04T10:00:28.0406407Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T10:00:28.0406962Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:28.0407532Z         >>> start_event = torch.Event(enable_timing=True)
2025-12-04T10:00:28.0408120Z         >>> end_event = torch.Event(enable_timing=True)
2025-12-04T10:00:28.0408497Z         >>> start_event.record()
2025-12-04T10:00:28.0408959Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T10:00:28.0409443Z         >>> sum = torch.sum(tensor)
2025-12-04T10:00:28.0409772Z         >>> end_event.record()
2025-12-04T10:00:28.0410111Z         >>> torch.accelerator.synchronize()
2025-12-04T10:00:28.0410538Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T10:00:28.0410913Z     
2025-12-04T10:00:28.0411630Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T10:00:28.0412342Z 
2025-12-04T10:00:28.0412625Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:28.0413120Z                                         ^
2025-12-04T10:00:28.0698912Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T10:00:28.0699827Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:28.0700337Z Retrieves the CUDA runtime API module.
2025-12-04T10:00:28.0700567Z 
2025-12-04T10:00:28.0700572Z 
2025-12-04T10:00:28.0700855Z     This function initializes the CUDA runtime environment if it is not already
2025-12-04T10:00:28.0701479Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T10:00:28.0702090Z     runtime API module provides access to various CUDA runtime functions.
2025-12-04T10:00:28.0702448Z 
2025-12-04T10:00:28.0702549Z     Args:
2025-12-04T10:00:28.0702754Z         ``None``
2025-12-04T10:00:28.0702909Z 
2025-12-04T10:00:28.0702997Z     Returns:
2025-12-04T10:00:28.0703285Z         module: The CUDA runtime API module (_cudart).
2025-12-04T10:00:28.0703551Z 
2025-12-04T10:00:28.0703649Z     Raises:
2025-12-04T10:00:28.0704019Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T10:00:28.0704768Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T10:00:28.0705345Z 
2025-12-04T10:00:28.0705498Z     Example of CUDA operations with profiling:
2025-12-04T10:00:28.0706004Z         >>> import torch
2025-12-04T10:00:28.0706327Z         >>> from torch.cuda import cudart, check_error
2025-12-04T10:00:28.0706686Z         >>> import os
2025-12-04T10:00:28.0706925Z         >>>
2025-12-04T10:00:28.0707181Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T10:00:28.0707508Z         >>>
2025-12-04T10:00:28.0707783Z         >>> def perform_cuda_operations_with_streams():
2025-12-04T10:00:28.0708158Z         >>>     stream = torch.cuda.Stream()
2025-12-04T10:00:28.0708520Z         >>>     with torch.cuda.stream(stream):
2025-12-04T10:00:28.0708904Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T10:00:28.0709287Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T10:00:28.0709649Z         >>>         z = torch.mul(x, y)
2025-12-04T10:00:28.0709986Z         >>>     return z
2025-12-04T10:00:28.0710234Z         >>>
2025-12-04T10:00:28.0710481Z         >>> torch.cuda.synchronize()
2025-12-04T10:00:28.0710852Z         >>> print("====== Start nsys profiling ======")
2025-12-04T10:00:28.0711259Z         >>> check_error(cudart().cudaProfilerStart())
2025-12-04T10:00:28.0711661Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T10:00:28.0712097Z         >>>     result = perform_cuda_operations_with_streams()
2025-12-04T10:00:28.0712523Z         >>>     print("CUDA operations completed.")
2025-12-04T10:00:28.0712944Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T10:00:28.0713378Z         >>> print("====== End nsys profiling ======")
2025-12-04T10:00:28.0713625Z 
2025-12-04T10:00:28.0713847Z     To run this example and save the profiling information, execute:
2025-12-04T10:00:28.0714665Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T10:00:28.0715168Z 
2025-12-04T10:00:28.0715426Z     This command profiles the CUDA operations in the provided script and saves
2025-12-04T10:00:28.0716025Z     the profiling information to a file named `trace_name.prof`.
2025-12-04T10:00:28.0716618Z     The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T10:00:28.0717137Z     after the `cudaProfilerStart` call in the script.
2025-12-04T10:00:28.0717651Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T10:00:28.0718151Z     CSV file and print a summary, respectively.
2025-12-04T10:00:28.0718682Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T10:00:28.0719222Z     overwrite of the output file if it already exists.
2025-12-04T10:00:28.0719596Z     
2025-12-04T10:00:28.0720414Z 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))
2025-12-04T10:00:28.0721216Z 
2025-12-04T10:00:28.0721596Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T10:00:28.0722166Z ^
2025-12-04T10:00:29.5834059Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T10:00:29.5835044Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:29.5835726Z 
2025-12-04T10:00:29.5836012Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T10:00:29.5836764Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T10:00:29.5837802Z pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T10:00:29.5838288Z vectorizing those operations.
2025-12-04T10:00:29.5838508Z 
2025-12-04T10:00:29.5838755Z vmap is useful for handling batch dimensions: one can write a function
2025-12-04T10:00:29.5839648Z ``func`` that runs on examples and then lift it to a function that can
2025-12-04T10:00:29.5840355Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T10:00:29.5841102Z compute batched gradients when composed with autograd.
2025-12-04T10:00:29.5841402Z 
2025-12-04T10:00:29.5841534Z .. note::
2025-12-04T10:00:29.5841848Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T10:00:29.5842309Z     convenience. Use whichever one you'd like.
2025-12-04T10:00:29.5842564Z 
2025-12-04T10:00:29.5842668Z Args:
2025-12-04T10:00:29.5843005Z     func (function): A Python function that takes one or more arguments.
2025-12-04T10:00:29.5843476Z         Must return one or more Tensors.
2025-12-04T10:00:29.5843924Z     in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T10:00:29.5844460Z         inputs should be mapped over. ``in_dims`` should have a
2025-12-04T10:00:29.5844957Z         structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T10:00:29.5845481Z         input is None, then that indicates there is no map dimension.
2025-12-04T10:00:29.5845900Z         Default: 0.
2025-12-04T10:00:29.5846255Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T10:00:29.5846793Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T10:00:29.5847288Z         it should have one element per output. Default: 0.
2025-12-04T10:00:29.5847757Z     randomness (str): Specifies whether the randomness in this
2025-12-04T10:00:29.5848290Z         vmap should be the same or different across batches. If 'different',
2025-12-04T10:00:29.5848853Z         the randomness for each batch will be different. If 'same', the
2025-12-04T10:00:29.5849417Z         randomness will be the same across batches. If 'error', any calls to
2025-12-04T10:00:29.5850096Z         random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T10:00:29.5850662Z         only applies to random PyTorch operations and does not apply to
2025-12-04T10:00:29.5851143Z         Python's random module or numpy randomness.
2025-12-04T10:00:29.5851631Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T10:00:29.5852234Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T10:00:29.5852870Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T10:00:29.5853558Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T10:00:29.5853966Z 
2025-12-04T10:00:29.5854056Z Returns:
2025-12-04T10:00:29.5854384Z     Returns a new "batched" function. It takes the same inputs as
2025-12-04T10:00:29.5854900Z     ``func``, except each input has an extra dimension at the index
2025-12-04T10:00:29.5855427Z     specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T10:00:29.5855935Z     ``func``, except each output has an extra dimension at the index
2025-12-04T10:00:29.5856367Z     specified by ``out_dims``.
2025-12-04T10:00:29.5856564Z 
2025-12-04T10:00:29.5856664Z .. warning:
2025-12-04T10:00:29.5856997Z     :func:`vmap` works best with functional-style code. Please do not
2025-12-04T10:00:29.5857534Z     perform any side-effects in ``func``, with the exception of
2025-12-04T10:00:29.5858104Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T10:00:29.5858708Z     Python data structures and assigning values to variables not captured
2025-12-04T10:00:29.5859163Z     in ``func``.
2025-12-04T10:00:29.5859322Z 
2025-12-04T10:00:29.5859570Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T10:00:29.5860180Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T10:00:29.5860757Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T10:00:29.5861130Z 
2025-12-04T10:00:29.5861263Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T10:00:29.5861702Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T10:00:29.5862178Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T10:00:29.5862527Z     >>> batched_dot(x, y)
2025-12-04T10:00:29.5862783Z 
2025-12-04T10:00:29.5863025Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T10:00:29.5863505Z model authoring experience.
2025-12-04T10:00:29.5863697Z 
2025-12-04T10:00:29.5863812Z     >>> batch_size, feature_size = 3, 5
2025-12-04T10:00:29.5864230Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T10:00:29.5864627Z     >>>
2025-12-04T10:00:29.5864848Z     >>> def model(feature_vec):
2025-12-04T10:00:29.5865295Z     >>> # Very simple linear model with activation
2025-12-04T10:00:29.5865695Z     >>>     return feature_vec.dot(weights).relu()
2025-12-04T10:00:29.5866175Z     >>>
2025-12-04T10:00:29.5866553Z     >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T10:00:29.5866961Z     >>> result = torch.vmap(model)(examples)
2025-12-04T10:00:29.5867200Z 
2025-12-04T10:00:29.5867597Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T10:00:29.5868452Z or impossible to batch. One example is higher-order gradient computation.
2025-12-04T10:00:29.5869072Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T10:00:29.5869680Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T10:00:29.5870311Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T10:00:29.5870942Z we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T10:00:29.5871428Z call to ``autograd.grad``.
2025-12-04T10:00:29.5871611Z 
2025-12-04T10:00:29.5871710Z     >>> # Setup
2025-12-04T10:00:29.5872035Z     >>> N = 5
2025-12-04T10:00:29.5872273Z     >>> f = lambda x: x**2
2025-12-04T10:00:29.5872586Z     >>> x = torch.randn(N, requires_grad=True)
2025-12-04T10:00:29.5872911Z     >>> y = f(x)
2025-12-04T10:00:29.5873157Z     >>> I_N = torch.eye(N)
2025-12-04T10:00:29.5873424Z     >>>
2025-12-04T10:00:29.5873641Z     >>> # Sequential approach
2025-12-04T10:00:29.5874075Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T10:00:29.5874549Z     >>>                  for v in I_N.unbind()]
2025-12-04T10:00:29.5874916Z     >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T10:00:29.5875315Z     >>>
2025-12-04T10:00:29.5875546Z     >>> # vectorized gradient computation
2025-12-04T10:00:29.5875884Z     >>> def get_vjp(v):
2025-12-04T10:00:29.5876183Z     >>>     return torch.autograd.grad(y, x, v)
2025-12-04T10:00:29.5876555Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T10:00:29.5876789Z 
2025-12-04T10:00:29.5877066Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T10:00:29.5877487Z 
2025-12-04T10:00:29.5877593Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T10:00:29.5877919Z     >>> batched_dot = torch.vmap(
2025-12-04T10:00:29.5878227Z     ...     torch.vmap(torch.dot)
2025-12-04T10:00:29.5878557Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T10:00:29.5878947Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T10:00:29.5879333Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T10:00:29.5879595Z 
2025-12-04T10:00:29.5879849Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T10:00:29.5880390Z the dimension that each inputs are batched along as
2025-12-04T10:00:29.5880666Z 
2025-12-04T10:00:29.5880785Z     >>> torch.dot  # [N], [N] -> []
2025-12-04T10:00:29.5881222Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T10:00:29.5881713Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T10:00:29.5882067Z     >>> batched_dot(
2025-12-04T10:00:29.5882303Z     ...     x, y
2025-12-04T10:00:29.5882648Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T10:00:29.5882981Z 
2025-12-04T10:00:29.5883253Z If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T10:00:29.5883953Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T10:00:29.5884285Z 
2025-12-04T10:00:29.5884406Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T10:00:29.5884856Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T10:00:29.5885368Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T10:00:29.5885711Z     >>> batched_dot(
2025-12-04T10:00:29.5885953Z     ...     x, y
2025-12-04T10:00:29.5886306Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T10:00:29.5886633Z 
2025-12-04T10:00:29.5886898Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T10:00:29.5887386Z matching the shape of the input:
2025-12-04T10:00:29.5887613Z 
2025-12-04T10:00:29.5887759Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T10:00:29.5888161Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T10:00:29.5888514Z     >>> input = {"x": x, "y": y}
2025-12-04T10:00:29.5888898Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T10:00:29.5889315Z     >>> batched_dot(input)
2025-12-04T10:00:29.5889497Z 
2025-12-04T10:00:29.5889799Z By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T10:00:29.5890333Z along any dimension by using ``out_dims``
2025-12-04T10:00:29.5890586Z 
2025-12-04T10:00:29.5890684Z     >>> f = lambda x: x**2
2025-12-04T10:00:29.5890972Z     >>> x = torch.randn(2, 5)
2025-12-04T10:00:29.5891298Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T10:00:29.5891643Z     >>> batched_pow(x)  # [5, 2]
2025-12-04T10:00:29.5891956Z 
2025-12-04T10:00:29.5892258Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T10:00:29.5892795Z accept kwargs
2025-12-04T10:00:29.5892934Z 
2025-12-04T10:00:29.5893035Z     >>> x = torch.randn([2, 5])
2025-12-04T10:00:29.5893339Z     >>> def fn(x, scale=4.):
2025-12-04T10:00:29.5893995Z     >>>   return x * scale
2025-12-04T10:00:29.5894258Z     >>>
2025-12-04T10:00:29.5894495Z     >>> batched_pow = torch.vmap(fn)
2025-12-04T10:00:29.5894867Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T10:00:29.5895370Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T10:00:29.5895732Z 
2025-12-04T10:00:29.5895836Z .. note::
2025-12-04T10:00:29.5896196Z     vmap does not provide general autobatching or handle variable-length
2025-12-04T10:00:29.5896665Z     sequences out of the box.
2025-12-04T10:00:29.5896862Z 
2025-12-04T10:00:29.5897418Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T10:00:29.5898108Z 
2025-12-04T10:00:29.5898193Z _._ = None
2025-12-04T10:00:29.5898411Z ^
2025-12-04T10:00:29.5899035Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T10:00:29.5899917Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:29.5900562Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T10:00:29.5901148Z     input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T10:00:29.5901588Z     compute higher-order gradients.
2025-12-04T10:00:29.5901824Z 
2025-12-04T10:00:29.5901909Z     Args:
2025-12-04T10:00:29.5902261Z         func (Callable): A Python function that takes one or more arguments.
2025-12-04T10:00:29.5902887Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T10:00:29.5903566Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T10:00:29.5904084Z             ``(output, aux)``.
2025-12-04T10:00:29.5904572Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T10:00:29.5905383Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T10:00:29.5905973Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T10:00:29.5906514Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T10:00:29.5906809Z 
2025-12-04T10:00:29.5906913Z     Returns:
2025-12-04T10:00:29.5907339Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T10:00:29.5908024Z         the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T10:00:29.5908693Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T10:00:29.5909377Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T10:00:29.5909911Z         respect to each ``argnums`` value is returned.
2025-12-04T10:00:29.5910188Z 
2025-12-04T10:00:29.5910294Z     Example of using ``grad``:
2025-12-04T10:00:29.5910487Z 
2025-12-04T10:00:29.5910604Z         >>> # xdoctest: +SKIP
2025-12-04T10:00:29.5910900Z         >>> from torch.func import grad
2025-12-04T10:00:29.5911234Z         >>> x = torch.randn([])
2025-12-04T10:00:29.5911561Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T10:00:29.5911932Z         >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T10:00:29.5912272Z         >>>
2025-12-04T10:00:29.5912510Z         >>> # Second-order gradients
2025-12-04T10:00:29.5912888Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T10:00:29.5913305Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T10:00:29.5913575Z 
2025-12-04T10:00:29.5913913Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T10:00:29.5914302Z 
2025-12-04T10:00:29.5914414Z         >>> # xdoctest: +SKIP
2025-12-04T10:00:29.5914724Z         >>> from torch.func import grad, vmap
2025-12-04T10:00:29.5915089Z         >>> batch_size, feature_size = 3, 5
2025-12-04T10:00:29.5915416Z         >>>
2025-12-04T10:00:29.5915658Z         >>> def model(weights, feature_vec):
2025-12-04T10:00:29.5916035Z         >>> # Very simple linear model with activation
2025-12-04T10:00:29.5916412Z         >>>     assert feature_vec.dim() == 1
2025-12-04T10:00:29.5916788Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T10:00:29.5917116Z         >>>
2025-12-04T10:00:29.5917390Z         >>> def compute_loss(weights, example, target):
2025-12-04T10:00:29.5917772Z         >>>     y = model(weights, example)
2025-12-04T10:00:29.5918134Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T10:00:29.5918485Z         >>>
2025-12-04T10:00:29.5918805Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T10:00:29.5919264Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T10:00:29.5919671Z         >>> targets = torch.randn(batch_size)
2025-12-04T10:00:29.5920044Z         >>> inputs = (weights, examples, targets)
2025-12-04T10:00:29.5920546Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T10:00:29.5921012Z         ...     *inputs
2025-12-04T10:00:29.5921269Z         ... )
2025-12-04T10:00:29.5921401Z 
2025-12-04T10:00:29.5921598Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T10:00:29.5921901Z 
2025-12-04T10:00:29.5922001Z         >>> # xdoctest: +SKIP
2025-12-04T10:00:29.5922312Z         >>> from torch.func import grad
2025-12-04T10:00:29.5922658Z         >>> def my_loss_func(y, y_pred):
2025-12-04T10:00:29.5923023Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T10:00:29.5923392Z         >>>    loss = loss_per_sample.mean()
2025-12-04T10:00:29.5923769Z         >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T10:00:29.5924110Z         >>>
2025-12-04T10:00:29.5924388Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T10:00:29.5924778Z         >>> y_true = torch.rand(4)
2025-12-04T10:00:29.5925191Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T10:00:29.5925553Z         >>> out = fn(y_true, y_preds)
2025-12-04T10:00:29.5926036Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T10:00:29.5926418Z 
2025-12-04T10:00:29.5926529Z     .. note::
2025-12-04T10:00:29.5926851Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T10:00:29.5927151Z 
2025-12-04T10:00:29.5927306Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T10:00:29.5927593Z 
2025-12-04T10:00:29.5927697Z             >>> # xdoctest: +SKIP
2025-12-04T10:00:29.5928004Z             >>> def f(x):
2025-12-04T10:00:29.5928282Z             >>>     with torch.no_grad():
2025-12-04T10:00:29.5928616Z             >>>         c = x ** 2
2025-12-04T10:00:29.5928927Z             >>>     return x - c
2025-12-04T10:00:29.5929120Z 
2025-12-04T10:00:29.5929339Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T10:00:29.5929674Z 
2025-12-04T10:00:29.5929872Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T10:00:29.5930201Z 
2025-12-04T10:00:29.5930304Z             >>> # xdoctest: +SKIP
2025-12-04T10:00:29.5930622Z             >>> with torch.no_grad():
2025-12-04T10:00:29.5930928Z             >>>     grad(f)(x)
2025-12-04T10:00:29.5931127Z 
2025-12-04T10:00:29.5931357Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T10:00:29.5931951Z         outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T10:00:29.5932546Z         should not depend on the result of a context manager outside of ``f``.
2025-12-04T10:00:29.5932961Z 
2025-12-04T10:00:29.5933046Z     
2025-12-04T10:00:29.5933718Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T10:00:29.5934387Z 
2025-12-04T10:00:29.5934482Z _._ = None
2025-12-04T10:00:29.5934683Z ^
2025-12-04T10:00:32.7968792Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402.
2025-12-04T10:00:32.7969852Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:32.7970474Z Register a FakeTensor implementation for this custom op.
2025-12-04T10:00:32.7970784Z 
2025-12-04T10:00:32.7971058Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T10:00:32.7971445Z 
2025-12-04T10:00:32.7971676Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T10:00:32.7972292Z         specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T10:00:32.7972823Z         Given some input Tensors with certain properties
2025-12-04T10:00:32.7973365Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T10:00:32.7973880Z         the output Tensors are.
2025-12-04T10:00:32.7974097Z 
2025-12-04T10:00:32.7974314Z         Please see :func:`torch.library.register_fake` for more details.
2025-12-04T10:00:32.7974653Z 
2025-12-04T10:00:32.7974753Z         Args:
2025-12-04T10:00:32.7975065Z             fn (Callable): The function to register as the FakeTensor
2025-12-04T10:00:32.7975479Z                 implementation.
2025-12-04T10:00:32.7975673Z 
2025-12-04T10:00:32.7975774Z         Examples:
2025-12-04T10:00:32.7976014Z             >>> import torch
2025-12-04T10:00:32.7976310Z             >>> import numpy as np
2025-12-04T10:00:32.7976634Z             >>> from torch import Tensor
2025-12-04T10:00:32.7976958Z             >>>
2025-12-04T10:00:32.7977291Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T10:00:32.7977845Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T10:00:32.7978379Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T10:00:32.7979042Z             >>>     return (x @ weight.t()) + bias
2025-12-04T10:00:32.7979382Z             >>>
2025-12-04T10:00:32.7979637Z             >>> @linear.register_fake
2025-12-04T10:00:32.7979957Z             >>> def _(x, weight, bias):
2025-12-04T10:00:32.7980287Z             >>>     assert x.dim() == 2
2025-12-04T10:00:32.7980628Z             >>>     assert weight.dim() == 2
2025-12-04T10:00:32.7980975Z             >>>     assert bias.dim() == 1
2025-12-04T10:00:32.7981329Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T10:00:32.7981725Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T10:00:32.7982125Z             >>>     assert x.device == weight.device
2025-12-04T10:00:32.7982523Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T10:00:32.7982892Z             >>>
2025-12-04T10:00:32.7983145Z             >>> x = torch.randn(2, 2)
2025-12-04T10:00:32.7983467Z             >>> weight = torch.randn(2, 2)
2025-12-04T10:00:32.7983813Z             >>> bias = torch.randn(2)
2025-12-04T10:00:32.7984174Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:32.7984629Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T10:00:32.7985184Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:32.7985713Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T10:00:32.7986193Z             >>>
2025-12-04T10:00:32.7986512Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T10:00:32.7987042Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T10:00:32.7987626Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T10:00:32.7987975Z             >>>     x_np = x.cpu().numpy()
2025-12-04T10:00:32.7988355Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T10:00:32.7988766Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T10:00:32.7989129Z             >>>
2025-12-04T10:00:32.7989377Z             >>> @nonzero.register_fake
2025-12-04T10:00:32.7989707Z             >>> def _(x):
2025-12-04T10:00:32.7990044Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T10:00:32.7990490Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T10:00:32.7990961Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T10:00:32.7991394Z             >>> # represents the data-dependent size.
2025-12-04T10:00:32.7991767Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T10:00:32.7992141Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T10:00:32.7992496Z             >>>     shape = [nnz, x.dim()]
2025-12-04T10:00:32.7992884Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T10:00:32.7993255Z             >>>     return result
2025-12-04T10:00:32.7993795Z             >>>
2025-12-04T10:00:32.7994097Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T10:00:32.7994644Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:32.7995073Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T10:00:32.7995488Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:32.7995896Z             >>> assert torch.allclose(out, x.nonzero())
2025-12-04T10:00:32.7996171Z 
2025-12-04T10:00:32.7996259Z         
2025-12-04T10:00:32.7996951Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T10:00:32.7997639Z 
2025-12-04T10:00:32.7997728Z _._ = None
2025-12-04T10:00:32.7997951Z ^
2025-12-04T10:00:32.8174738Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94.
2025-12-04T10:00:32.8175821Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T10:00:32.8176493Z 
2025-12-04T10:00:32.8176742Z Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T10:00:32.8177383Z kernel registration will override any existing fake kernel registrations.
2025-12-04T10:00:32.8177773Z 
2025-12-04T10:00:32.8178017Z The input is a dictionary mapping operator names to a set of operator
2025-12-04T10:00:32.8178653Z profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T10:00:32.8179231Z are a record of the input and output tensor metadata. Based on this
2025-12-04T10:00:32.8179824Z information we will match a given input to the recorded profile, and return
2025-12-04T10:00:32.8180465Z an output with the same metadata as in the recorded profile. If a profile
2025-12-04T10:00:32.8180985Z doesn't exist then an exception will be thrown.
2025-12-04T10:00:32.8181244Z 
2025-12-04T10:00:32.8181485Z The fake kernel generation is considered unsafe because it relies on the
2025-12-04T10:00:32.8182102Z rigid, pre-defined operator profiles that do not account for potential
2025-12-04T10:00:32.8182739Z variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T10:00:32.8183389Z fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T10:00:32.8184045Z possible that data-dependent operations may produce outputs of different
2025-12-04T10:00:32.8184666Z ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T10:00:32.8185336Z are inflexible and unable to accommodate these nuances, making them
2025-12-04T10:00:32.8185782Z potentially unsafe.
2025-12-04T10:00:32.8186100Z 
2025-12-04T10:00:32.8186185Z Args:
2025-12-04T10:00:32.8186545Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T10:00:32.8187103Z         name to a set of operator profiles from which we will generate fake
2025-12-04T10:00:32.8187534Z         kernels.
2025-12-04T10:00:32.8187689Z 
2025-12-04T10:00:32.8187780Z Examples:
2025-12-04T10:00:32.8187908Z 
2025-12-04T10:00:32.8188103Z     >>> # Example: Registering an op-profile from draft-export
2025-12-04T10:00:32.8188487Z     >>> import torch
2025-12-04T10:00:32.8188820Z     >>> from torch.export._draft_export import draft_export
2025-12-04T10:00:32.8189209Z     >>>
2025-12-04T10:00:32.8189534Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T10:00:32.8189981Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T10:00:32.8190330Z     >>>     return x + y
2025-12-04T10:00:32.8190580Z     >>>
2025-12-04T10:00:32.8190816Z     >>> class M(torch.nn.Module):
2025-12-04T10:00:32.8191146Z     >>>     def forward(self, a, b):
2025-12-04T10:00:32.8191505Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T10:00:32.8203706Z     >>>         return res
2025-12-04T10:00:32.8204058Z     >>>
2025-12-04T10:00:32.8204379Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T10:00:32.8204776Z     >>>
2025-12-04T10:00:32.8205238Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T10:00:32.8205814Z     >>>     decomp = ep.run_decompositions()
2025-12-04T10:00:32.8206055Z 
2025-12-04T10:00:32.8206060Z 
2025-12-04T10:00:32.8206570Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T10:00:32.8207206Z 
2025-12-04T10:00:33.3613026Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-12-04T10:00:33.3614356Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:33.3614749Z 
2025-12-04T10:00:33.3615047Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T10:00:33.3615684Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T10:00:33.3616564Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T10:00:33.3617059Z input by the user.
2025-12-04T10:00:33.3617455Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T10:00:33.3617970Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T10:00:33.3618266Z 
2025-12-04T10:00:33.3618380Z Note::
2025-12-04T10:00:33.3618846Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T10:00:33.3619314Z 
2025-12-04T10:00:33.3619401Z Args:
2025-12-04T10:00:33.3619625Z     model (nn.Module):
2025-12-04T10:00:33.3620040Z         The model whose layers will be sparsified. The layers that needs to be
2025-12-04T10:00:33.3620660Z         sparsified should be added separately using the register_layer() function
2025-12-04T10:00:33.3621155Z     aggregate_fn (Optional, Callable):
2025-12-04T10:00:33.3621660Z         default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T10:00:33.3622242Z         specifies how inputs should be aggregated over time.
2025-12-04T10:00:33.3622824Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T10:00:33.3623343Z         Example
2025-12-04T10:00:33.3623673Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T10:00:33.3624105Z             reduce_fn (Optional, Callable):
2025-12-04T10:00:33.3624590Z                 default reduce_fn that is used if not specified while registering the layer.
2025-12-04T10:00:33.3625315Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T10:00:33.3625964Z                 calling agg_fn() on all inputs.
2025-12-04T10:00:33.3626291Z                 Example
2025-12-04T10:00:33.3626668Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T10:00:33.3627122Z             mask_fn (Optional, Callable):
2025-12-04T10:00:33.3627674Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T10:00:33.3628399Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T10:00:33.3628900Z                 register_layer().
2025-12-04T10:00:33.3629477Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T10:00:33.3630061Z                 arguments.
2025-12-04T10:00:33.3630361Z             features (Optional, list):
2025-12-04T10:00:33.3630729Z                 default selected features to sparsify.
2025-12-04T10:00:33.3631260Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T10:00:33.3631772Z                 For example,
2025-12-04T10:00:33.3632233Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T10:00:33.3632754Z             feature_dim (Optional, int):
2025-12-04T10:00:33.3633270Z                 default dimension of input features. Again, features along this dim will be chosen
2025-12-04T10:00:33.3633802Z                 for sparsification.
2025-12-04T10:00:33.3634128Z             sparse_config (Dict):
2025-12-04T10:00:33.3634554Z                 Default configuration for the mask_fn. This config will be passed
2025-12-04T10:00:33.3635021Z                 with the mask_fn()
2025-12-04T10:00:33.3635239Z 
2025-12-04T10:00:33.3635329Z Example:
2025-12-04T10:00:33.3635558Z     >>> # xdoctest: +SKIP
2025-12-04T10:00:33.3635829Z     >>> model = SomeModel()
2025-12-04T10:00:33.3636274Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T10:00:33.3636770Z     >>> # Initialize aggregate_fn
2025-12-04T10:00:33.3637068Z     >>> def agg_fn(x, y):
2025-12-04T10:00:33.3637344Z     >>>     return x + y
2025-12-04T10:00:33.3637605Z     >>>
2025-12-04T10:00:33.3637821Z     >>> # Initialize reduce_fn
2025-12-04T10:00:33.3638187Z     >>> def reduce_fn(x):
2025-12-04T10:00:33.3638481Z     >>>     return torch.mean(x, dim=0)
2025-12-04T10:00:33.3638784Z     >>>
2025-12-04T10:00:33.3639013Z     >>> # Initialize mask_fn
2025-12-04T10:00:33.3639305Z     >>> def mask_fn(data):
2025-12-04T10:00:33.3639625Z     >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T10:00:33.3639983Z     >>>
2025-12-04T10:00:33.3640192Z     >>>
2025-12-04T10:00:33.3640419Z     >>> act_sparsifier.register_layer(
2025-12-04T10:00:33.3640753Z     ...     model.some_layer,
2025-12-04T10:00:33.3641058Z     ...     aggregate_fn=agg_fn,
2025-12-04T10:00:33.3641365Z     ...     reduce_fn=reduce_fn,
2025-12-04T10:00:33.3641658Z     ...     mask_fn=mask_fn,
2025-12-04T10:00:33.3641933Z     ... )
2025-12-04T10:00:33.3642145Z     >>>
2025-12-04T10:00:33.3642359Z     >>> # start training process
2025-12-04T10:00:33.3642656Z     >>> for _ in [...]:
2025-12-04T10:00:33.3642917Z     >>> # epoch starts
2025-12-04T10:00:33.3643255Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T10:00:33.3643654Z     >>> # epoch ends
2025-12-04T10:00:33.3643927Z     >>>     act_sparsifier.step()
2025-12-04T10:00:33.3644231Z     >>> # end training process
2025-12-04T10:00:33.3644543Z     >>> sparsifier.squash_mask()
2025-12-04T10:00:33.3644749Z 
2025-12-04T10:00:33.3645295Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T10:00:33.3645940Z 
2025-12-04T10:00:33.3646038Z _._ = None
2025-12-04T10:00:33.3646241Z ^
2025-12-04T10:00:34.0385983Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547.
2025-12-04T10:00:34.0387317Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:34.0387709Z 
2025-12-04T10:00:34.0388012Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T10:00:34.0388725Z The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T10:00:34.0389235Z ``mesh_dim_names``
2025-12-04T10:00:34.0389398Z 
2025-12-04T10:00:34.0389483Z Args:
2025-12-04T10:00:34.0389856Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T10:00:34.0390420Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T10:00:34.0390828Z Returns:
2025-12-04T10:00:34.0391069Z     A :class:`DeviceMesh` object
2025-12-04T10:00:34.0391273Z 
2025-12-04T10:00:34.0391572Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T10:00:34.0392112Z In the first example:
2025-12-04T10:00:34.0392555Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T10:00:34.0393205Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T10:00:34.0394084Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T10:00:34.0394698Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T10:00:34.0395300Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T10:00:34.0395893Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T10:00:34.0396264Z 
2025-12-04T10:00:34.0396366Z In the second example:
2025-12-04T10:00:34.0396826Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T10:00:34.0397519Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T10:00:34.0398190Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T10:00:34.0398869Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T10:00:34.0399397Z 
2025-12-04T10:00:34.0399520Z Example::
2025-12-04T10:00:34.0399648Z 
2025-12-04T10:00:34.0399772Z     >>> # xdoctest: +SKIP("no rank")
2025-12-04T10:00:34.0400164Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T10:00:34.0400564Z     >>>
2025-12-04T10:00:34.0400906Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T10:00:34.0401386Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T10:00:34.0401925Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T10:00:34.0402435Z     >>> tp_mesh = mesh_2d["tp"]
2025-12-04T10:00:34.0402735Z     >>> dp_mesh = mesh_2d["dp"]
2025-12-04T10:00:34.0403022Z     >>>
2025-12-04T10:00:34.0403251Z     >>> # Initialize a 3D mesh.
2025-12-04T10:00:34.0403745Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T10:00:34.0404478Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T10:00:34.0405044Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T10:00:34.0405398Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T10:00:34.0405621Z 
2025-12-04T10:00:34.0406334Z 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))
2025-12-04T10:00:34.0407189Z 
2025-12-04T10:00:34.0407445Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T10:00:34.0407963Z                                                                                  ^
2025-12-04T10:00:34.5281013Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-12-04T10:00:34.5282302Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:34.5282706Z 
2025-12-04T10:00:34.5283027Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T10:00:34.5283507Z 
2025-12-04T10:00:34.5283819Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T10:00:34.5284275Z 
2025-12-04T10:00:34.5284572Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T10:00:34.5285124Z will be visible to the whole process.
2025-12-04T10:00:34.5285353Z 
2025-12-04T10:00:34.5285644Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T10:00:34.5286088Z 
2025-12-04T10:00:34.5286215Z 1) set_up_planner - called on all ranks.
2025-12-04T10:00:34.5286588Z     Signals the start of a checkpoint save.
2025-12-04T10:00:34.5286831Z 
2025-12-04T10:00:34.5286971Z 2) create_local_plan - called on all ranks.
2025-12-04T10:00:34.5287505Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T10:00:34.5287947Z 
2025-12-04T10:00:34.5288140Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T10:00:34.5288662Z     Takes the SavePlan from all ranks and make any global decision.
2025-12-04T10:00:34.5288993Z 
2025-12-04T10:00:34.5289110Z 4) finish_plan - called on all ranks.
2025-12-04T10:00:34.5289569Z     This gives each rank a chance to adjust to global planning decisions.
2025-12-04T10:00:34.5289932Z 
2025-12-04T10:00:34.5290092Z 5) resolve_data - called multiple times on each rank
2025-12-04T10:00:34.5290590Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T10:00:34.5290934Z 
2025-12-04T10:00:34.5291251Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T10:00:34.5291901Z most changes can be expressed by changes in a single method.
2025-12-04T10:00:34.5292222Z 
2025-12-04T10:00:34.5292351Z There are 3 usual patterns of extension:
2025-12-04T10:00:34.5292587Z 
2025-12-04T10:00:34.5293046Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T10:00:34.5293899Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T10:00:34.5294275Z 
2025-12-04T10:00:34.5294394Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:34.5294775Z >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T10:00:34.5295128Z >>>     def set_up_planner(
2025-12-04T10:00:34.5295415Z >>>         self,
2025-12-04T10:00:34.5295685Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T10:00:34.5296048Z >>>         storage_meta: Optional[StorageMeta],
2025-12-04T10:00:34.5296394Z >>>         is_coordinator: bool,
2025-12-04T10:00:34.5296707Z >>>     ) -> None:
2025-12-04T10:00:34.5296971Z >>> # prefix all keys with `foo_``
2025-12-04T10:00:34.5297495Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T10:00:34.5297920Z 
2025-12-04T10:00:34.5298290Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T10:00:34.5298765Z 
2025-12-04T10:00:34.5298896Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:34.5299257Z >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T10:00:34.5299623Z >>>     def create_local_plan(self):
2025-12-04T10:00:34.5299977Z >>>         plan = super().create_local_plan()
2025-12-04T10:00:34.5300316Z >>>         for p in plan:
2025-12-04T10:00:34.5300734Z >>>             if p.tensor_data is not None:
2025-12-04T10:00:34.5301269Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T10:00:34.5301719Z >>>         return plan
2025-12-04T10:00:34.5302376Z >>>
2025-12-04T10:00:34.5302743Z >>>     def resolve_data(self, write_item):
2025-12-04T10:00:34.5303406Z >>>         item = super().resolve_data(write_item)
2025-12-04T10:00:34.5304001Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T10:00:34.5304428Z 
2025-12-04T10:00:34.5304796Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T10:00:34.5305350Z 
2025-12-04T10:00:34.5305481Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:34.5305824Z >>> from itertools import zip_longest
2025-12-04T10:00:34.5306173Z >>> from dataclasses import replace
2025-12-04T10:00:34.5306577Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T10:00:34.5307154Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T10:00:34.5307717Z >>> # This sample doesn't handle ShardedTensors
2025-12-04T10:00:34.5308107Z >>>     def create_global_plan(self, all_plans):
2025-12-04T10:00:34.5308523Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T10:00:34.5308896Z >>>         items_per_rank = [
2025-12-04T10:00:34.5309236Z >>>             [item for item in items if item is not None]
2025-12-04T10:00:34.5309670Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T10:00:34.5310043Z >>>         ]
2025-12-04T10:00:34.5310280Z >>>         all_plans = [
2025-12-04T10:00:34.5310574Z >>>             replace(plan, items=items)
2025-12-04T10:00:34.5310996Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T10:00:34.5311413Z >>>         ]
2025-12-04T10:00:34.5311700Z >>>         return super().create_global_plan(all_plans)
2025-12-04T10:00:34.5311962Z 
2025-12-04T10:00:34.5312253Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T10:00:34.5312946Z accomplished by having each rank contribute their data items in the local plan and
2025-12-04T10:00:34.5313488Z the global planner aggregate them:
2025-12-04T10:00:34.5313709Z 
2025-12-04T10:00:34.5313842Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:34.5314231Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T10:00:34.5314655Z >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T10:00:34.5315145Z >>>         plan = super().create_local_plan()
2025-12-04T10:00:34.5315567Z >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T10:00:34.5315939Z >>>
2025-12-04T10:00:34.5316375Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T10:00:34.5317026Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T10:00:34.5317516Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T10:00:34.5317991Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T10:00:34.5318407Z >>>         return global_plan, metadata
2025-12-04T10:00:34.5318638Z 
2025-12-04T10:00:34.5319207Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T10:00:34.5319883Z 
2025-12-04T10:00:34.5319970Z _._ = None
2025-12-04T10:00:34.5320188Z ^
2025-12-04T10:00:34.5320982Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-12-04T10:00:34.5322002Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:34.5322390Z 
2025-12-04T10:00:34.5322706Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T10:00:34.5323137Z 
2025-12-04T10:00:34.5323443Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T10:00:34.5323891Z 
2025-12-04T10:00:34.5324187Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T10:00:34.5324799Z will be visible to the whole process.
2025-12-04T10:00:34.5325025Z 
2025-12-04T10:00:34.5325330Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T10:00:34.5325749Z 
2025-12-04T10:00:34.5325872Z 1) set_up_planner - called on all ranks.
2025-12-04T10:00:34.5326257Z     Signals the start of loading a checkpoint.
2025-12-04T10:00:34.5326506Z 
2025-12-04T10:00:34.5326650Z 2) create_local_plan - called on all ranks.
2025-12-04T10:00:34.5327184Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T10:00:34.5327624Z 
2025-12-04T10:00:34.5327815Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T10:00:34.5328338Z     Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T10:00:34.5328667Z 
2025-12-04T10:00:34.5328829Z 4) load_bytes - called multiple times on each rank
2025-12-04T10:00:34.5329263Z     This is called once per non-tensor value in state_dict.
2025-12-04T10:00:34.5329569Z 
2025-12-04T10:00:34.5329802Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T10:00:34.5330357Z     They are called in pair for each Tensor value in state_dict.
2025-12-04T10:00:34.5330666Z 
2025-12-04T10:00:34.5331001Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T10:00:34.5331632Z most changes can be expressed by changes in a single method.
2025-12-04T10:00:34.5331954Z 
2025-12-04T10:00:34.5332086Z There are two usual patterns of extension:
2025-12-04T10:00:34.5332332Z 
2025-12-04T10:00:34.5332610Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T10:00:34.5333263Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T10:00:34.5333901Z to keep a reference to the original state_dict as load happens in place so
2025-12-04T10:00:34.5334397Z we need to be able to perform it in place
2025-12-04T10:00:34.5334639Z 
2025-12-04T10:00:34.5334770Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:34.5335131Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T10:00:34.5335488Z >>>     def set_up_planner(
2025-12-04T10:00:34.5335768Z >>>         self,
2025-12-04T10:00:34.5336018Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T10:00:34.5336415Z >>>         metadata: Metadata,
2025-12-04T10:00:34.5336722Z >>>         is_coordinator: bool,
2025-12-04T10:00:34.5337012Z >>>     ) -> None:
2025-12-04T10:00:34.5337295Z >>>         self.original_state_dict = state_dict
2025-12-04T10:00:34.5337729Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T10:00:34.5338127Z >>>
2025-12-04T10:00:34.5338359Z >>>         if self.flatten_sharded_tensors:
2025-12-04T10:00:34.5338764Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T10:00:34.5339140Z >>>
2025-12-04T10:00:34.5339359Z >>>         if self.flatten_state_dict:
2025-12-04T10:00:34.5339780Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T10:00:34.5340195Z >>>
2025-12-04T10:00:34.5340416Z >>>         self.state_dict = state_dict
2025-12-04T10:00:34.5340760Z >>>         self.metadata = metadata
2025-12-04T10:00:34.5341110Z >>>         self.is_coordinator = is_coordinator
2025-12-04T10:00:34.5341434Z >>>
2025-12-04T10:00:34.5341684Z >>>     def load_bytes(self, read_item, value):
2025-12-04T10:00:34.5342042Z >>> # Remove the "foo_" prefix
2025-12-04T10:00:34.5342578Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T10:00:34.5343037Z 
2025-12-04T10:00:34.5343042Z 
2025-12-04T10:00:34.5343316Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T10:00:34.5343728Z 
2025-12-04T10:00:34.5343848Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:34.5344246Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T10:00:34.5344646Z >>>     def resolve_tensor(self, read_item):
2025-12-04T10:00:34.5345158Z >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T10:00:34.5345580Z >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T10:00:34.5345950Z >>>
2025-12-04T10:00:34.5346195Z >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T10:00:34.5346627Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T10:00:34.5346910Z 
2025-12-04T10:00:34.5347489Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T10:00:34.5348171Z 
2025-12-04T10:00:34.5348274Z _._ = None
2025-12-04T10:00:34.5348478Z ^
2025-12-04T10:00:34.9162249Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295.
2025-12-04T10:00:34.9163332Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:34.9163745Z 
2025-12-04T10:00:34.9163964Z ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T10:00:34.9164633Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T10:00:34.9165188Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T10:00:34.9165765Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T10:00:34.9166334Z is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T10:00:34.9166762Z follows:
2025-12-04T10:00:34.9166886Z 
2025-12-04T10:00:34.9167030Z     >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T10:00:34.9167525Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T10:00:34.9168042Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T10:00:34.9168508Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T10:00:34.9169082Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T10:00:34.9169552Z     >>>     state = fsdp.state_dict()
2025-12-04T10:00:34.9169998Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T10:00:34.9170599Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T10:00:34.9171406Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T10:00:34.9171898Z     >>> if dist.get_rank() == 0:
2025-12-04T10:00:34.9172303Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T10:00:34.9172768Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T10:00:34.9173152Z     >>>     model.load_state_dict(state_dict)
2025-12-04T10:00:34.9173648Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T10:00:34.9174285Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T10:00:34.9174752Z     >>> fsdp = FSDP(
2025-12-04T10:00:34.9175011Z     ...     model,
2025-12-04T10:00:34.9175297Z     ...     device_id=torch.cuda.current_device(),
2025-12-04T10:00:34.9175657Z     ...     auto_wrap_policy=...,
2025-12-04T10:00:34.9175979Z     ...     sync_module_states=True,
2025-12-04T10:00:34.9176284Z     ... )
2025-12-04T10:00:34.9176624Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T10:00:34.9176991Z 
2025-12-04T10:00:34.9177083Z Attributes:
2025-12-04T10:00:34.9177430Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T10:00:34.9177981Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T10:00:34.9178478Z         ranks save the full state dict. (Default: ``False``)
2025-12-04T10:00:34.9178773Z 
2025-12-04T10:00:34.9179296Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T10:00:34.9179949Z 
2025-12-04T10:00:34.9180037Z _._ = None
2025-12-04T10:00:34.9180362Z ^
2025-12-04T10:00:37.0456361Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437.
2025-12-04T10:00:37.0457423Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:37.0458007Z Register a parametrization to a tensor in a module.
2025-12-04T10:00:37.0458345Z 
2025-12-04T10:00:37.0458638Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T10:00:37.0459355Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T10:00:37.0460060Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T10:00:37.0460761Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T10:00:37.0461210Z 
2025-12-04T10:00:37.0461540Z     The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T10:00:37.0462269Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T10:00:37.0462646Z 
2025-12-04T10:00:37.0462927Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T10:00:37.0463449Z     ``module.parametrizations.weight``.
2025-12-04T10:00:37.0463707Z 
2025-12-04T10:00:37.0463854Z     The original tensor will be accessible under
2025-12-04T10:00:37.0464274Z     ``module.parametrizations.weight.original``.
2025-12-04T10:00:37.0464547Z 
2025-12-04T10:00:37.0464837Z     Parametrizations may be concatenated by registering several parametrizations
2025-12-04T10:00:37.0465424Z     on the same attribute.
2025-12-04T10:00:37.0465620Z 
2025-12-04T10:00:37.0465876Z     The training mode of a registered parametrization is updated on registration
2025-12-04T10:00:37.0466409Z     to match the training mode of the host module
2025-12-04T10:00:37.0466668Z 
2025-12-04T10:00:37.0466993Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T10:00:37.0467587Z     using the context manager :func:`cached`.
2025-12-04T10:00:37.0467843Z 
2025-12-04T10:00:37.0468097Z     A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T10:00:37.0468476Z 
2025-12-04T10:00:37.0468624Z     .. code-block:: python
2025-12-04T10:00:37.0469039Z 
2025-12-04T10:00:37.0469274Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T10:00:37.0469638Z 
2025-12-04T10:00:37.0469914Z     This method is called on the unparametrized tensor when the first parametrization
2025-12-04T10:00:37.0470548Z     is registered to compute the initial value of the original tensor.
2025-12-04T10:00:37.0471224Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T10:00:37.0471676Z 
2025-12-04T10:00:37.0472005Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T10:00:37.0472777Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T10:00:37.0473216Z 
2025-12-04T10:00:37.0473454Z     It is possible for the first parametrization to depend on several inputs.
2025-12-04T10:00:37.0474082Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T10:00:37.0474722Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T10:00:37.0475107Z 
2025-12-04T10:00:37.0475462Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T10:00:37.0476088Z     with names ``original0``, ``original1``,...
2025-12-04T10:00:37.0476341Z 
2025-12-04T10:00:37.0476446Z     .. note::
2025-12-04T10:00:37.0476583Z 
2025-12-04T10:00:37.0476869Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T10:00:37.0477441Z         once to perform a number of consistency checks.
2025-12-04T10:00:37.0478113Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T10:00:37.0478645Z         and nothing will be called otherwise.
2025-12-04T10:00:37.0478898Z 
2025-12-04T10:00:37.0478987Z     .. note::
2025-12-04T10:00:37.0479136Z 
2025-12-04T10:00:37.0479355Z         In most situations, ``right_inverse`` will be a function such that
2025-12-04T10:00:37.0479833Z         ``forward(right_inverse(X)) == X`` (see
2025-12-04T10:00:37.0480382Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T10:00:37.0481083Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T10:00:37.0481583Z         to relax this.
2025-12-04T10:00:37.0481746Z 
2025-12-04T10:00:37.0481851Z     .. warning::
2025-12-04T10:00:37.0481996Z 
2025-12-04T10:00:37.0482284Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T10:00:37.0482987Z         will register a number of new parameters. If such parametrization is registered
2025-12-04T10:00:37.0483678Z         after the optimizer is created, these new parameters will need to be added manually
2025-12-04T10:00:37.0484296Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T10:00:37.0484639Z 
2025-12-04T10:00:37.0484723Z     Args:
2025-12-04T10:00:37.0485079Z         module (nn.Module): module on which to register the parametrization
2025-12-04T10:00:37.0485659Z         tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T10:00:37.0486109Z             the parametrization
2025-12-04T10:00:37.0486528Z         parametrization (nn.Module): the parametrization to register
2025-12-04T10:00:37.0486960Z     Keyword args:
2025-12-04T10:00:37.0487330Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T10:00:37.0487893Z             may change the dtype and shape of the tensor. Default: `False`
2025-12-04T10:00:37.0488514Z             Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T10:00:37.0489047Z             Enable this flag at your own risk.
2025-12-04T10:00:37.0489283Z 
2025-12-04T10:00:37.0489369Z     Raises:
2025-12-04T10:00:37.0489808Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T10:00:37.0490297Z 
2025-12-04T10:00:37.0490403Z     Examples:
2025-12-04T10:00:37.0490689Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T10:00:37.0491070Z         >>> import torch
2025-12-04T10:00:37.0491363Z         >>> import torch.nn as nn
2025-12-04T10:00:37.0491706Z         >>> import torch.nn.utils.parametrize as P
2025-12-04T10:00:37.0492062Z         >>>
2025-12-04T10:00:37.0492308Z         >>> class Symmetric(nn.Module):
2025-12-04T10:00:37.0492648Z         >>>     def forward(self, X):
2025-12-04T10:00:37.0493039Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T10:00:37.0493441Z         >>>
2025-12-04T10:00:37.0493958Z         >>>     def right_inverse(self, A):
2025-12-04T10:00:37.0494288Z         >>>         return A.triu()
2025-12-04T10:00:37.0494589Z         >>>
2025-12-04T10:00:37.0494821Z         >>> m = nn.Linear(5, 5)
2025-12-04T10:00:37.0495185Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T10:00:37.0495750Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T10:00:37.0496225Z         True
2025-12-04T10:00:37.0496453Z         >>> A = torch.rand(5, 5)
2025-12-04T10:00:37.0496775Z         >>> A = A + A.T  # A is now symmetric
2025-12-04T10:00:37.0497220Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T10:00:37.0497689Z         >>> print(torch.allclose(m.weight, A))
2025-12-04T10:00:37.0498008Z         True
2025-12-04T10:00:37.0498150Z 
2025-12-04T10:00:37.0498264Z         >>> class RankOne(nn.Module):
2025-12-04T10:00:37.0498703Z         >>>     def forward(self, x, y):
2025-12-04T10:00:37.0499075Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T10:00:37.0499493Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T10:00:37.0499853Z         >>>
2025-12-04T10:00:37.0500088Z         >>>     def right_inverse(self, Z):
2025-12-04T10:00:37.0500457Z         >>> # Project Z onto the rank 1 matrices
2025-12-04T10:00:37.0500869Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T10:00:37.0501283Z         >>> # Return rescaled singular vectors
2025-12-04T10:00:37.0501639Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T10:00:37.0502043Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T10:00:37.0502413Z         >>>
2025-12-04T10:00:37.0502686Z         >>> linear_rank_one = P.register_parametrization(
2025-12-04T10:00:37.0503096Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T10:00:37.0503434Z         ... )
2025-12-04T10:00:37.0503778Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T10:00:37.0504207Z         1
2025-12-04T10:00:37.0504341Z 
2025-12-04T10:00:37.0504425Z     
2025-12-04T10:00:37.0505179Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T10:00:37.0505864Z 
2025-12-04T10:00:37.0505949Z _._ = None
2025-12-04T10:00:37.0506166Z ^
2025-12-04T10:00:37.1577104Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586.
2025-12-04T10:00:37.1578142Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:37.1578714Z Reduce learning rate when a metric has stopped improving.
2025-12-04T10:00:37.1579034Z 
2025-12-04T10:00:37.1579249Z     Models often benefit from reducing the learning rate by a factor
2025-12-04T10:00:37.1579791Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T10:00:37.1580347Z     quantity and if no improvement is seen for a 'patience' number
2025-12-04T10:00:37.1580799Z     of epochs, the learning rate is reduced.
2025-12-04T10:00:37.1581058Z 
2025-12-04T10:00:37.1581146Z     Args:
2025-12-04T10:00:37.1581418Z         optimizer (Optimizer): Wrapped optimizer.
2025-12-04T10:00:37.1582056Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T10:00:37.1582517Z             be reduced when the quantity monitored has stopped
2025-12-04T10:00:37.1582986Z             decreasing; in `max` mode it will be reduced when the
2025-12-04T10:00:37.1583489Z             quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T10:00:37.1583990Z         factor (float): Factor by which the learning rate will be
2025-12-04T10:00:37.1584443Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T10:00:37.1584938Z         patience (int): The number of allowed epochs with no improvement after
2025-12-04T10:00:37.1585499Z             which the learning rate will be reduced.
2025-12-04T10:00:37.1586001Z             For example, consider the case of having no patience (`patience = 0`).
2025-12-04T10:00:37.1586761Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T10:00:37.1587504Z             In the second epoch, if the performance is worse than the baseline,
2025-12-04T10:00:37.1588005Z             we have what is considered an intolerable epoch.
2025-12-04T10:00:37.1588570Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T10:00:37.1589163Z             the learning rate is reduced at the end of this epoch.
2025-12-04T10:00:37.1589792Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T10:00:37.1590603Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T10:00:37.1591292Z             the learning rate is not adjusted.
2025-12-04T10:00:37.1591639Z             Default: 10.
2025-12-04T10:00:37.1592006Z         threshold (float): Threshold for measuring the new optimum,
2025-12-04T10:00:37.1592504Z             to only focus on significant changes. Default: 1e-4.
2025-12-04T10:00:37.1592995Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T10:00:37.1593465Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T10:00:37.1594180Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T10:00:37.1594628Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T10:00:37.1595109Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T10:00:37.1595599Z         cooldown (int): Number of epochs to wait before resuming
2025-12-04T10:00:37.1596095Z             normal operation after lr has been reduced. Default: 0.
2025-12-04T10:00:37.1596583Z         min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T10:00:37.1597039Z             lower bound on the learning rate of all param groups
2025-12-04T10:00:37.1597471Z             or each group respectively. Default: 0.
2025-12-04T10:00:37.1597919Z         eps (float): Minimal decay applied to lr. If the difference
2025-12-04T10:00:37.1598431Z             between new and old lr is smaller than eps, the update is
2025-12-04T10:00:37.1598845Z             ignored. Default: 1e-8.
2025-12-04T10:00:37.1599071Z 
2025-12-04T10:00:37.1599161Z     Example:
2025-12-04T10:00:37.1599404Z         >>> # xdoctest: +SKIP
2025-12-04T10:00:37.1599826Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T10:00:37.1600363Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T10:00:37.1600758Z         >>> for epoch in range(10):
2025-12-04T10:00:37.1601059Z         >>>     train(...)
2025-12-04T10:00:37.1601346Z         >>>     val_loss = validate(...)
2025-12-04T10:00:37.1601739Z         >>> # Note that step should be called after validate()
2025-12-04T10:00:37.1602135Z         >>>     scheduler.step(val_loss)
2025-12-04T10:00:37.1602359Z 
2025-12-04T10:00:37.1602597Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T10:00:37.1603010Z     
2025-12-04T10:00:37.1603665Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T10:00:37.1604230Z 
2025-12-04T10:00:37.1604338Z     scheduler.step(val_loss)
2025-12-04T10:00:37.1604627Z    ^
2025-12-04T10:00:40.8525603Z running 894 test(s)
2025-12-04T10:00:40.8532957Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file
2025-12-04T10:00:40.8564020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-12-04T10:00:40.8565754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file
2025-12-04T10:00:40.8566975Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-12-04T10:00:40.8568151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file
2025-12-04T10:00:40.8569567Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0
2025-12-04T10:00:40.8570795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file
2025-12-04T10:00:40.8572277Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-12-04T10:00:40.8573777Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file
2025-12-04T10:00:40.8575483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-12-04T10:00:40.8576864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file
2025-12-04T10:00:40.8578096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-12-04T10:00:40.8579399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file
2025-12-04T10:00:40.8580804Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-12-04T10:00:40.8583931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file
2025-12-04T10:00:40.8585188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-12-04T10:00:40.8586478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file
2025-12-04T10:00:40.8587912Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-12-04T10:00:40.8589324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file
2025-12-04T10:00:40.8590749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-12-04T10:00:40.8592137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file
2025-12-04T10:00:40.8593840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-12-04T10:00:40.8595298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-12-04T10:00:40.8596516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-12-04T10:00:40.8597655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-12-04T10:00:40.8598816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-12-04T10:00:40.8599998Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-12-04T10:00:40.9131845Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-12-04T10:00:40.9133226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-12-04T10:00:40.9134635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-12-04T10:00:40.9136011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-12-04T10:00:40.9146425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-12-04T10:00:40.9147805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file
2025-12-04T10:00:40.9171166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-12-04T10:00:40.9172512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-12-04T10:00:40.9302570Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-12-04T10:00:40.9307085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-12-04T10:00:40.9313742Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-12-04T10:00:40.9314940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-12-04T10:00:40.9323413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-12-04T10:00:40.9324637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file
2025-12-04T10:00:40.9336182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-12-04T10:00:40.9337779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-12-04T10:00:40.9361832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-12-04T10:00:40.9363400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-12-04T10:00:40.9384772Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-12-04T10:00:40.9386469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-12-04T10:00:40.9395002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-12-04T10:00:40.9396621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-12-04T10:00:40.9399757Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-12-04T10:00:40.9401256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-12-04T10:00:40.9417546Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-12-04T10:00:40.9419026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-12-04T10:00:40.9441505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-12-04T10:00:40.9442998Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-12-04T10:00:40.9487988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-12-04T10:00:40.9489209Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-12-04T10:00:40.9542014Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-12-04T10:00:40.9543324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-12-04T10:00:40.9556653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-12-04T10:00:40.9557939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-12-04T10:00:40.9570427Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-12-04T10:00:40.9571667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-12-04T10:00:40.9579328Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-12-04T10:00:40.9580559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-12-04T10:00:40.9592093Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-12-04T10:00:40.9593277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-12-04T10:00:40.9610154Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-12-04T10:00:40.9611343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-12-04T10:00:40.9631724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-12-04T10:00:40.9632940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-12-04T10:00:40.9654249Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-12-04T10:00:40.9655445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-12-04T10:00:40.9682439Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-12-04T10:00:40.9683610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-12-04T10:00:40.9725062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-12-04T10:00:40.9726269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-12-04T10:00:40.9761103Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-12-04T10:00:40.9762348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-12-04T10:00:40.9763589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-12-04T10:00:40.9764784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-12-04T10:00:40.9765988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-12-04T10:00:40.9767101Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-12-04T10:00:40.9768184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-12-04T10:00:40.9769249Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-12-04T10:00:40.9770493Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-12-04T10:00:40.9771555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-12-04T10:00:40.9772618Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-12-04T10:00:40.9773714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-12-04T10:00:40.9786719Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-12-04T10:00:40.9787935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file
2025-12-04T10:00:40.9789183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-12-04T10:00:40.9790420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file
2025-12-04T10:00:40.9791696Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-12-04T10:00:40.9792928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file
2025-12-04T10:00:40.9794426Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-12-04T10:00:40.9795731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file
2025-12-04T10:00:40.9797142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-12-04T10:00:40.9798440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file
2025-12-04T10:00:40.9799813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-12-04T10:00:40.9800961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file
2025-12-04T10:00:40.9806816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-12-04T10:00:40.9807933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file
2025-12-04T10:00:40.9825616Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-12-04T10:00:40.9826777Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file
2025-12-04T10:00:40.9828013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-12-04T10:00:40.9829238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file
2025-12-04T10:00:40.9830505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-12-04T10:00:40.9831735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file
2025-12-04T10:00:41.0061713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-12-04T10:00:41.0062994Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file
2025-12-04T10:00:41.0166419Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-12-04T10:00:41.0167676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file
2025-12-04T10:00:41.0378693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-12-04T10:00:41.0379875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file
2025-12-04T10:00:41.0381043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-12-04T10:00:41.0382274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file
2025-12-04T10:00:41.0387958Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-12-04T10:00:41.0389278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file
2025-12-04T10:00:41.0435943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-12-04T10:00:41.0437244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file
2025-12-04T10:00:41.0440645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-12-04T10:00:41.0441939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file
2025-12-04T10:00:41.0444722Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-12-04T10:00:41.0447019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file
2025-12-04T10:00:41.0481765Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-12-04T10:00:41.0483077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file
2025-12-04T10:00:41.0490691Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-12-04T10:00:41.0491924Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-12-04T10:00:41.0493189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-12-04T10:00:41.0494655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-12-04T10:00:41.0495968Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-12-04T10:00:41.0497242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-12-04T10:00:41.0498521Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-12-04T10:00:41.0499750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-12-04T10:00:41.0501145Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-12-04T10:00:41.0502404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-12-04T10:00:41.0506803Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-12-04T10:00:41.0508045Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-12-04T10:00:41.0509252Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-12-04T10:00:41.0510417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-12-04T10:00:41.0513498Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-12-04T10:00:41.0514723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-12-04T10:00:41.0516000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-12-04T10:00:41.0517277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file
2025-12-04T10:00:41.0518637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-12-04T10:00:41.0519936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file
2025-12-04T10:00:41.0536531Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-12-04T10:00:41.0537949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file
2025-12-04T10:00:41.0543917Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-12-04T10:00:41.0545426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file
2025-12-04T10:00:41.0550900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-12-04T10:00:41.0552316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file
2025-12-04T10:00:41.0553757Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0
2025-12-04T10:00:41.0555119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file
2025-12-04T10:00:41.0556472Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-12-04T10:00:41.0557769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file
2025-12-04T10:00:41.0559087Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-12-04T10:00:41.0560408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file
2025-12-04T10:00:41.3358089Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-12-04T10:00:41.3360679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file
2025-12-04T10:00:41.3363055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-12-04T10:00:41.3365302Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file
2025-12-04T10:00:41.3367711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-12-04T10:00:41.3370710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file
2025-12-04T10:00:41.3373655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-12-04T10:00:41.3376353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file
2025-12-04T10:00:41.3378627Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-12-04T10:00:41.3381327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file
2025-12-04T10:00:41.3384274Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-12-04T10:00:41.3387628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file
2025-12-04T10:00:41.3389992Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-12-04T10:00:41.3392225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-12-04T10:00:41.3394825Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-12-04T10:00:41.3396865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-12-04T10:00:41.3398825Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-12-04T10:00:41.3400766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file
2025-12-04T10:00:41.3402733Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-12-04T10:00:41.3404840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file
2025-12-04T10:00:41.3407676Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-12-04T10:00:41.3409871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-12-04T10:00:41.3412007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-12-04T10:00:41.3414238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file
2025-12-04T10:00:41.3416620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-12-04T10:00:41.3419042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file
2025-12-04T10:00:41.3421296Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-12-04T10:00:41.3423657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file
2025-12-04T10:00:41.3426370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-12-04T10:00:41.3428833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-12-04T10:00:41.3431214Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-12-04T10:00:41.3433488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-12-04T10:00:41.3435721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-12-04T10:00:41.3438189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-12-04T10:00:41.3440932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-12-04T10:00:41.3443420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-12-04T10:00:41.3445773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-12-04T10:00:41.3448140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-12-04T10:00:41.3455256Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-12-04T10:00:41.3457818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-12-04T10:00:41.3461760Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-12-04T10:00:41.3464050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-12-04T10:00:41.3523724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-12-04T10:00:41.3526178Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-12-04T10:00:41.3533850Z W1204 10:00:41.352000 1681 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.
2025-12-04T10:00:41.3555871Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-12-04T10:00:41.3558394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-12-04T10:00:41.3580488Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-12-04T10:00:41.3582930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-12-04T10:00:41.3602121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-12-04T10:00:41.3604630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-12-04T10:00:41.3641367Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-12-04T10:00:41.3643995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file
2025-12-04T10:00:41.3716185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-12-04T10:00:41.3718593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file
2025-12-04T10:00:41.3721089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-12-04T10:00:41.3723886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file
2025-12-04T10:00:41.3726684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-12-04T10:00:41.3729631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file
2025-12-04T10:00:41.3732811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0
2025-12-04T10:00:41.3735627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file
2025-12-04T10:00:41.3738430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-12-04T10:00:41.3741271Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file
2025-12-04T10:00:41.3744164Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-12-04T10:00:41.3746869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file
2025-12-04T10:00:41.3749364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-12-04T10:00:41.3751749Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file
2025-12-04T10:00:41.4094651Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-12-04T10:00:41.4097157Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-12-04T10:00:41.4099754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-12-04T10:00:41.4102117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-12-04T10:00:41.4141451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-12-04T10:00:41.4143683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-12-04T10:00:41.4216544Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-12-04T10:00:41.4218805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-12-04T10:00:41.6825753Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-12-04T10:00:41.6827146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-12-04T10:00:41.6902152Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-12-04T10:00:41.6903550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-12-04T10:00:41.6924579Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-12-04T10:00:41.6925990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-12-04T10:00:41.6929825Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-12-04T10:00:41.6931243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-12-04T10:00:41.7135192Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-12-04T10:00:41.7136853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-12-04T10:00:41.7141102Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-12-04T10:00:41.7142867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-12-04T10:00:41.7144342Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-12-04T10:00:41.7146032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file
2025-12-04T10:00:41.7147701Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-12-04T10:00:41.7149330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file
2025-12-04T10:00:41.7150975Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-12-04T10:00:41.7152823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file
2025-12-04T10:00:41.7154861Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-12-04T10:00:41.7157092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file
2025-12-04T10:00:41.7159530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-12-04T10:00:41.7161461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file
2025-12-04T10:00:41.7163021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-12-04T10:00:41.7165161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-12-04T10:00:41.7167839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-12-04T10:00:41.7170193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file
2025-12-04T10:00:41.7171484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-12-04T10:00:41.7172976Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file
2025-12-04T10:00:41.7174688Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-12-04T10:00:41.7176135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file
2025-12-04T10:00:41.7177409Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-12-04T10:00:41.7178724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-12-04T10:00:41.7180773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-12-04T10:00:41.7182251Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file
2025-12-04T10:00:41.7183851Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-12-04T10:00:41.7185470Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file
2025-12-04T10:00:41.7186989Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-12-04T10:00:41.7188430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file
2025-12-04T10:00:41.7189918Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0
2025-12-04T10:00:41.7191353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file
2025-12-04T10:00:41.7192792Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-12-04T10:00:41.7194629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file
2025-12-04T10:00:41.7196219Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-12-04T10:00:41.7197794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file
2025-12-04T10:00:41.7199396Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-12-04T10:00:41.7201015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file
2025-12-04T10:00:41.7202694Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-12-04T10:00:41.7204314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file
2025-12-04T10:00:41.7205929Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-12-04T10:00:41.7207562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file
2025-12-04T10:00:41.7209260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-12-04T10:00:41.7210920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file
2025-12-04T10:00:41.7212649Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-12-04T10:00:41.7214227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file
2025-12-04T10:00:41.7642904Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-12-04T10:00:41.7644327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file
2025-12-04T10:00:41.7762895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-12-04T10:00:41.7764550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file
2025-12-04T10:00:41.7766050Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-12-04T10:00:41.7767537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file
2025-12-04T10:00:41.7995448Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-12-04T10:00:41.7996923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file
2025-12-04T10:00:41.8233951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-12-04T10:00:41.8236241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file
2025-12-04T10:00:41.8238069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-12-04T10:00:41.8239538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file
2025-12-04T10:00:41.8241019Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-12-04T10:00:41.8242468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-12-04T10:00:41.8344490Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-12-04T10:00:41.8345949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file
2025-12-04T10:00:41.8354788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-12-04T10:00:41.8356809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-12-04T10:00:41.8358648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-12-04T10:00:41.8359891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-12-04T10:00:41.8361173Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-12-04T10:00:41.8362400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-12-04T10:00:41.8363852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-12-04T10:00:41.8365145Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-12-04T10:00:41.8401620Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-12-04T10:00:41.8403112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file
2025-12-04T10:00:41.8404515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-12-04T10:00:41.8405892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file
2025-12-04T10:00:41.8454754Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-12-04T10:00:41.8456158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file
2025-12-04T10:00:41.8459207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-12-04T10:00:41.8460588Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file
2025-12-04T10:00:41.8546325Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-12-04T10:00:41.8547750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file
2025-12-04T10:00:41.8613991Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-12-04T10:00:41.8615412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file
2025-12-04T10:00:41.8674111Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-12-04T10:00:41.8675639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file
2025-12-04T10:00:41.8677072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-12-04T10:00:41.8678450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file
2025-12-04T10:00:41.8737204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-12-04T10:00:41.8738677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file
2025-12-04T10:00:41.8742395Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-12-04T10:00:41.8743866Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file
2025-12-04T10:00:41.8748637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-12-04T10:00:41.8750278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file
2025-12-04T10:00:41.8751615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-12-04T10:00:41.8752919Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file
2025-12-04T10:00:41.8756460Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-12-04T10:00:41.8757860Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file
2025-12-04T10:00:41.8759880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-12-04T10:00:41.8762253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-12-04T10:00:41.8764524Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-12-04T10:00:41.8766792Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file
2025-12-04T10:00:41.8769431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0
2025-12-04T10:00:41.8771649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-12-04T10:00:41.8772939Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-12-04T10:00:41.8774357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file
2025-12-04T10:00:41.8775946Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-12-04T10:00:41.8777581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file
2025-12-04T10:00:41.8779353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-12-04T10:00:41.8781035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-12-04T10:00:41.8782705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-12-04T10:00:41.8784378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file
2025-12-04T10:00:41.8786171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-12-04T10:00:41.8787833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file
2025-12-04T10:00:41.8789517Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-12-04T10:00:41.8791035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file
2025-12-04T10:00:41.8796288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-12-04T10:00:41.8798087Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file
2025-12-04T10:00:41.8831571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-12-04T10:00:41.8833852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file
2025-12-04T10:00:41.8836429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-12-04T10:00:41.8837781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file
2025-12-04T10:00:41.8839153Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-12-04T10:00:41.8840496Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file
2025-12-04T10:00:41.8841876Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-12-04T10:00:41.8843841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-12-04T10:00:41.8845400Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-12-04T10:00:41.8846845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-12-04T10:00:41.8849986Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-12-04T10:00:41.8852444Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-12-04T10:00:41.8854529Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-12-04T10:00:41.8856537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file
2025-12-04T10:00:41.8859325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-12-04T10:00:41.8862320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file
2025-12-04T10:00:41.8864005Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-12-04T10:00:41.8865579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file
2025-12-04T10:00:41.8867789Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-12-04T10:00:41.8870726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file
2025-12-04T10:00:41.8872896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-12-04T10:00:41.8875497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file
2025-12-04T10:00:41.8877219Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-12-04T10:00:41.8878754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-12-04T10:00:41.8880286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-12-04T10:00:41.8881762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file
2025-12-04T10:00:41.8883226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-12-04T10:00:41.8884657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file
2025-12-04T10:00:41.8886124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-12-04T10:00:41.8887583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file
2025-12-04T10:00:41.8889083Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-12-04T10:00:41.8890642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file
2025-12-04T10:00:41.8892167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-12-04T10:00:41.8893868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file
2025-12-04T10:00:41.8895612Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-12-04T10:00:41.8897412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-12-04T10:00:41.8899241Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-12-04T10:00:41.8900972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file
2025-12-04T10:00:41.8902718Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-12-04T10:00:41.8904415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file
2025-12-04T10:00:41.8906198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-12-04T10:00:41.8907899Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file
2025-12-04T10:00:41.8909637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-12-04T10:00:41.8911412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file
2025-12-04T10:00:41.8913401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-12-04T10:00:41.8915258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file
2025-12-04T10:00:41.8917146Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-12-04T10:00:41.8918991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file
2025-12-04T10:00:41.8920892Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-12-04T10:00:41.8922760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-12-04T10:00:41.8936143Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-12-04T10:00:41.8938191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-12-04T10:00:41.8951359Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-12-04T10:00:41.8954608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-12-04T10:00:41.8957626Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-12-04T10:00:41.8960496Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-12-04T10:00:41.8963454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-12-04T10:00:41.8966118Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file
2025-12-04T10:00:41.8968547Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-12-04T10:00:41.8971055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file
2025-12-04T10:00:41.8973394Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-12-04T10:00:41.8976437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file
2025-12-04T10:00:41.9007648Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0
2025-12-04T10:00:41.9011037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-12-04T10:00:41.9014384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-12-04T10:00:41.9017682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file
2025-12-04T10:00:41.9020394Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-12-04T10:00:41.9023050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-12-04T10:00:41.9026086Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-12-04T10:00:41.9029019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file
2025-12-04T10:00:41.9032063Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-12-04T10:00:41.9034901Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file
2025-12-04T10:00:41.9037441Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-12-04T10:00:41.9040020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file
2025-12-04T10:00:41.9042809Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-12-04T10:00:41.9045689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file
2025-12-04T10:00:41.9048571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-12-04T10:00:41.9051342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file
2025-12-04T10:00:41.9054084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-12-04T10:00:41.9056956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file
2025-12-04T10:00:41.9059917Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-12-04T10:00:41.9062484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-12-04T10:00:41.9065009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-12-04T10:00:41.9067576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-12-04T10:00:41.9070242Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-12-04T10:00:41.9072737Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
2025-12-04T10:00:41.9075156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-12-04T10:00:41.9077782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file
2025-12-04T10:00:41.9080240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-12-04T10:00:41.9082775Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file
2025-12-04T10:00:41.9085359Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-12-04T10:00:41.9087868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file
2025-12-04T10:00:41.9090430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-12-04T10:00:41.9092978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file
2025-12-04T10:00:41.9096158Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-12-04T10:00:41.9098997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
2025-12-04T10:00:41.9101905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-12-04T10:00:41.9104933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-12-04T10:00:41.9107638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-12-04T10:00:41.9110227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-12-04T10:00:41.9112942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-12-04T10:00:41.9115451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-12-04T10:00:41.9118162Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-12-04T10:00:41.9120669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file
2025-12-04T10:00:41.9123211Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-12-04T10:00:41.9125682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file
2025-12-04T10:00:41.9128199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-12-04T10:00:41.9130732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file
2025-12-04T10:00:41.9133262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-12-04T10:00:41.9135865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file
2025-12-04T10:00:41.9138579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-12-04T10:00:41.9141078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file
2025-12-04T10:00:41.9143677Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-12-04T10:00:41.9146194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file
2025-12-04T10:00:41.9148791Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-12-04T10:00:41.9151399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file
2025-12-04T10:00:41.9154366Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-12-04T10:00:41.9157298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-12-04T10:00:41.9160279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-12-04T10:00:41.9163121Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file
2025-12-04T10:00:41.9166272Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-12-04T10:00:41.9169637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file
2025-12-04T10:00:41.9173512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0
2025-12-04T10:00:41.9177286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file
2025-12-04T10:00:41.9181148Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0
2025-12-04T10:00:41.9184966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file
2025-12-04T10:00:41.9188940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0
2025-12-04T10:00:41.9192797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file
2025-12-04T10:00:41.9197041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0
2025-12-04T10:00:41.9200654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file
2025-12-04T10:00:41.9203641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-12-04T10:00:41.9206605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file
2025-12-04T10:00:41.9209587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-12-04T10:00:41.9212409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file
2025-12-04T10:00:41.9215370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-12-04T10:00:41.9218330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file
2025-12-04T10:00:41.9221412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-12-04T10:00:41.9224127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file
2025-12-04T10:00:41.9226672Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-12-04T10:00:41.9229142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file
2025-12-04T10:00:41.9231487Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-12-04T10:00:41.9233694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file
2025-12-04T10:00:41.9236111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-12-04T10:00:41.9238295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file
2025-12-04T10:00:41.9240725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-12-04T10:00:41.9243127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file
2025-12-04T10:00:41.9245915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-12-04T10:00:41.9248536Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file
2025-12-04T10:00:41.9251167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-12-04T10:00:41.9253760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file
2025-12-04T10:00:41.9256259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-12-04T10:00:41.9259016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file
2025-12-04T10:00:41.9261964Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-12-04T10:00:41.9264687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file
2025-12-04T10:00:41.9267611Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-12-04T10:00:41.9270007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-12-04T10:00:41.9272371Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-12-04T10:00:41.9274489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-12-04T10:00:41.9276793Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-12-04T10:00:41.9278893Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-12-04T10:00:41.9281188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-12-04T10:00:41.9283318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-12-04T10:00:41.9285837Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-12-04T10:00:41.9288040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-12-04T10:00:41.9290428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-12-04T10:00:41.9292594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-12-04T10:00:41.9295115Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-12-04T10:00:41.9297270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-12-04T10:00:41.9299635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-12-04T10:00:41.9301774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-12-04T10:00:41.9304053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-12-04T10:00:41.9306330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-12-04T10:00:41.9308711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-12-04T10:00:41.9310983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-12-04T10:00:41.9313415Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-12-04T10:00:41.9315790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file
2025-12-04T10:00:41.9318442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-12-04T10:00:41.9320709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-12-04T10:00:41.9322903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-12-04T10:00:41.9325156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file
2025-12-04T10:00:41.9327539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-12-04T10:00:41.9329966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file
2025-12-04T10:00:41.9332374Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-12-04T10:00:41.9334811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file
2025-12-04T10:00:41.9337142Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-12-04T10:00:41.9339496Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file
2025-12-04T10:00:41.9341648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-12-04T10:00:41.9344275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file
2025-12-04T10:00:41.9346888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-12-04T10:00:41.9349460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file
2025-12-04T10:00:41.9351926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-12-04T10:00:41.9354501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file
2025-12-04T10:00:41.9357122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-12-04T10:00:41.9359521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-12-04T10:00:41.9361814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-12-04T10:00:41.9364060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-12-04T10:00:41.9366491Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
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2025-12-04T10:00:41.9675479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get_nbi:0, line 378 <- wrt source file
2025-12-04T10:00:41.9678211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get_nbi:0
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2025-12-04T10:00:41.9692603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0, line 593 <- wrt source file
2025-12-04T10:00:41.9695873Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0
2025-12-04T10:00:41.9697714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_op:0, line 651 <- wrt source file
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2025-12-04T10:00:41.9700886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0, line 704 <- wrt source file
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2025-12-04T10:00:41.9710714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::n_pes:0, line 837 <- wrt source file
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2025-12-04T10:00:41.9713931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::barrier_all:0, line 888 <- wrt source file
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2025-12-04T10:00:41.9717102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0, line 934 <- wrt source file
2025-12-04T10:00:41.9718673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0
2025-12-04T10:00:41.9720225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::alltoall:0, line 973 <- wrt source file
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2025-12-04T10:00:41.9723368Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::broadcast:0, line 1028 <- wrt source file
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2025-12-04T10:00:41.9729702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0, line 1135 <- wrt source file
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2025-12-04T10:00:41.9733064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
2025-12-04T10:00:41.9734586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0
2025-12-04T10:00:41.9736000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-12-04T10:00:41.9737377Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-12-04T10:00:41.9738902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 137 <- wrt source file
2025-12-04T10:00:41.9740645Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0
2025-12-04T10:00:41.9742329Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file
2025-12-04T10:00:41.9744046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0
2025-12-04T10:00:41.9745817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 51 <- wrt source file
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2025-12-04T10:00:41.9749359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 110 <- wrt source file
2025-12-04T10:00:41.9751129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0
2025-12-04T10:00:41.9752860Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 131 <- wrt source file
2025-12-04T10:00:41.9754641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0
2025-12-04T10:00:41.9756409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 149 <- wrt source file
2025-12-04T10:00:41.9758236Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0
2025-12-04T10:00:41.9759994Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 188 <- wrt source file
2025-12-04T10:00:41.9761802Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0
2025-12-04T10:00:41.9763576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0, line 91 <- wrt source file
2025-12-04T10:00:41.9765414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py::post_localSGD_hook:0
2025-12-04T10:00:41.9767212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0, line 395 <- wrt source file
2025-12-04T10:00:41.9768942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0
2025-12-04T10:00:41.9770685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file
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2025-12-04T10:00:41.9774355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
2025-12-04T10:00:41.9776305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0
2025-12-04T10:00:41.9778216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 146 <- wrt source file
2025-12-04T10:00:41.9780189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0
2025-12-04T10:00:41.9782119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0, line 56 <- wrt source file
2025-12-04T10:00:41.9783951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0
2025-12-04T10:00:41.9785959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0, line 53 <- wrt source file
2025-12-04T10:00:41.9788041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0
2025-12-04T10:00:41.9789930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0, line 49 <- wrt source file
2025-12-04T10:00:41.9791695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0
2025-12-04T10:00:41.9793402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file
2025-12-04T10:00:41.9795342Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0
2025-12-04T10:00:41.9797036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file
2025-12-04T10:00:41.9799136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0
2025-12-04T10:00:41.9800780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file
2025-12-04T10:00:41.9802460Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0
2025-12-04T10:00:41.9804140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1531 <- wrt source file
2025-12-04T10:00:41.9806193Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-12-04T10:00:41.9807838Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1590 <- wrt source file
2025-12-04T10:00:41.9809541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-12-04T10:00:41.9811122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0, line 131 <- wrt source file
2025-12-04T10:00:41.9812851Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0
2025-12-04T10:00:41.9814840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 160 <- wrt source file
2025-12-04T10:00:41.9816516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0
2025-12-04T10:00:41.9818028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 275 <- wrt source file
2025-12-04T10:00:41.9820423Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0
2025-12-04T10:00:41.9822440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file
2025-12-04T10:00:41.9824181Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0
2025-12-04T10:00:41.9825938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 78 <- wrt source file
2025-12-04T10:00:41.9828039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0
2025-12-04T10:00:41.9829938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 139 <- wrt source file
2025-12-04T10:00:41.9831727Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0
2025-12-04T10:00:41.9833469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file
2025-12-04T10:00:41.9835581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0
2025-12-04T10:00:41.9837356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file
2025-12-04T10:00:41.9839206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0
2025-12-04T10:00:41.9841120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0, line 213 <- wrt source file
2025-12-04T10:00:41.9843665Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0
2025-12-04T10:00:41.9845612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0, line 260 <- wrt source file
2025-12-04T10:00:41.9847447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0
2025-12-04T10:00:41.9849317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 211 <- wrt source file
2025-12-04T10:00:41.9851357Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-12-04T10:00:41.9853051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0, line 110 <- wrt source file
2025-12-04T10:00:41.9854775Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-12-04T10:00:41.9856478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 232 <- wrt source file
2025-12-04T10:00:41.9858813Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
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2025-12-04T10:00:41.9892514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1633 <- wrt source file
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2025-12-04T10:00:41.9902154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict:0, line 1850 <- wrt source file
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2025-12-04T10:00:41.9910373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 57 <- wrt source file
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2025-12-04T10:00:41.9913633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 227 <- wrt source file
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2025-12-04T10:00:41.9916432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
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2025-12-04T10:00:41.9929751Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
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2025-12-04T10:00:41.9939216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
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2025-12-04T10:00:41.9957531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 345 <- wrt source file
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2025-12-04T10:00:41.9960889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
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2025-12-04T10:00:41.9964678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 85 <- wrt source file
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2025-12-04T10:00:41.9968327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 104 <- wrt source file
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2025-12-04T10:00:41.9971486Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file
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2025-12-04T10:00:41.9974080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 343 <- wrt source file
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2025-12-04T10:00:41.9981793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
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2025-12-04T10:00:41.9984461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0, line 34 <- wrt source file
2025-12-04T10:00:41.9986087Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-12-04T10:00:41.9987692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 126 <- wrt source file
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2025-12-04T10:00:41.9991212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 62 <- wrt source file
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2025-12-04T10:00:41.9995005Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 887 <- wrt source file
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2025-12-04T10:00:41.9998231Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0, line 32 <- wrt source file
2025-12-04T10:00:41.9999784Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
2025-12-04T10:00:42.0001570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0, line 165 <- wrt source file
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2025-12-04T10:00:42.0005551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0, line 241 <- wrt source file
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2025-12-04T10:00:42.0009507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0, line 461 <- wrt source file
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2025-12-04T10:00:42.0013265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 310 <- wrt source file
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2025-12-04T10:00:42.0016754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 234 <- wrt source file
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2025-12-04T10:00:42.0020154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0, line 103 <- wrt source file
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2025-12-04T10:00:42.0034267Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0
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2025-12-04T10:00:42.0049733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 55 <- wrt source file
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2025-12-04T10:00:42.0053083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
2025-12-04T10:00:42.0054712Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-12-04T10:00:42.0056254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file
2025-12-04T10:00:42.0057782Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-12-04T10:00:42.0059415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file
2025-12-04T10:00:42.0061160Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-12-04T10:00:42.0062703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file
2025-12-04T10:00:42.0064541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-12-04T10:00:42.0066185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file
2025-12-04T10:00:42.0068052Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-12-04T10:00:42.0069643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file
2025-12-04T10:00:42.0071260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-12-04T10:00:42.0073301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file
2025-12-04T10:00:42.0075112Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-12-04T10:00:42.0076759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file
2025-12-04T10:00:42.0078723Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-12-04T10:00:42.0080227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-12-04T10:00:42.0081859Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-12-04T10:00:42.0083154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-12-04T10:00:42.0084663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-12-04T10:00:42.0085935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-12-04T10:00:42.0087284Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-12-04T10:00:42.0089080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-12-04T10:00:42.0090669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-12-04T10:00:42.0092258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-12-04T10:00:42.0093987Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-12-04T10:00:42.0095328Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-12-04T10:00:42.0096690Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-12-04T10:00:42.0098014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-12-04T10:00:42.0099631Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-12-04T10:00:42.0101103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-12-04T10:00:42.0102627Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-12-04T10:00:42.0104347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-12-04T10:00:42.0106040Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-12-04T10:00:42.0107596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-12-04T10:00:42.0109221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-12-04T10:00:42.0110615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-12-04T10:00:42.0112187Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-12-04T10:00:42.0113651Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-12-04T10:00:42.0115175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-12-04T10:00:42.0116611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-12-04T10:00:42.0117981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-12-04T10:00:42.0119400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-12-04T10:00:42.0121153Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-12-04T10:00:42.0122761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-12-04T10:00:42.0124223Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-12-04T10:00:42.0125706Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-12-04T10:00:42.0127020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-12-04T10:00:42.0128342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-12-04T10:00:42.0129740Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-12-04T10:00:42.0131093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-12-04T10:00:42.0132490Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-12-04T10:00:42.0133885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-12-04T10:00:42.0135318Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-12-04T10:00:42.0136719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-12-04T10:00:42.0138184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-12-04T10:00:42.0139590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-12-04T10:00:42.0141014Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-12-04T10:00:42.0142341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-12-04T10:00:42.0143735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-12-04T10:00:42.0145146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-12-04T10:00:42.0146580Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-12-04T10:00:42.0147953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-12-04T10:00:42.0149316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-12-04T10:00:42.0150732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-12-04T10:00:42.0152240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-12-04T10:00:42.0153854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file
2025-12-04T10:00:42.0155624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-12-04T10:00:42.0157259Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file
2025-12-04T10:00:42.0158903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-12-04T10:00:42.0160387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-12-04T10:00:42.0161997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-12-04T10:00:42.0163484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-12-04T10:00:42.0165090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-12-04T10:00:42.0166504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-12-04T10:00:42.0167805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-12-04T10:00:42.0169210Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-12-04T10:00:42.0170788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-12-04T10:00:42.0172190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-12-04T10:00:42.0173495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-12-04T10:00:42.0174771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-12-04T10:00:42.0176210Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-12-04T10:00:42.0178339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-12-04T10:00:42.0180176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-12-04T10:00:42.0182279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-12-04T10:00:42.0184597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-12-04T10:00:42.0186543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-12-04T10:00:42.0187905Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-12-04T10:00:42.0189279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-12-04T10:00:42.0190702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-12-04T10:00:42.0192133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-12-04T10:00:42.0193826Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-12-04T10:00:42.0196430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-12-04T10:00:42.0198122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-12-04T10:00:42.0199565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-12-04T10:00:42.0200880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-12-04T10:00:42.0202185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-12-04T10:00:42.0203526Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-12-04T10:00:42.0204832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-12-04T10:00:42.0206175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-12-04T10:00:42.0207474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-12-04T10:00:42.0209137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-12-04T10:00:42.0210646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-12-04T10:00:42.0211968Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-12-04T10:00:42.0213314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file
2025-12-04T10:00:42.0214729Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-12-04T10:00:42.0216160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-12-04T10:00:42.0217442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-12-04T10:00:42.0218778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
2025-12-04T10:00:42.0220213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-12-04T10:00:42.0221628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
2025-12-04T10:00:42.0223035Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-12-04T10:00:42.0224433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-12-04T10:00:42.0225935Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-12-04T10:00:42.0227213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 104 <- wrt source file
2025-12-04T10:00:42.0228393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-12-04T10:00:42.0229748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 2043 <- wrt source file
2025-12-04T10:00:42.0231114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-12-04T10:00:42.0232433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 2137 <- wrt source file
2025-12-04T10:00:42.0233734Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-12-04T10:00:42.0235016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 75 <- wrt source file
2025-12-04T10:00:42.0236307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-12-04T10:00:42.0237574Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 519 <- wrt source file
2025-12-04T10:00:42.0238844Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-12-04T10:00:42.0240165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 126 <- wrt source file
2025-12-04T10:00:42.0241559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-12-04T10:00:42.0242856Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
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2025-12-04T10:00:42.0245350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file
2025-12-04T10:00:42.0246632Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-12-04T10:00:42.0247948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file
2025-12-04T10:00:42.0249251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-12-04T10:00:42.0250479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0, line 300 <- wrt source file
2025-12-04T10:00:42.0251708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0
2025-12-04T10:00:42.0252923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0, line 344 <- wrt source file
2025-12-04T10:00:42.0254180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-12-04T10:00:42.0255586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 97 <- wrt source file
2025-12-04T10:00:42.0257191Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-12-04T10:00:42.0258689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-12-04T10:00:42.0260134Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-12-04T10:00:42.0261591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-12-04T10:00:42.0263221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-12-04T10:00:42.0265141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 19 <- wrt source file
2025-12-04T10:00:42.0266652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-12-04T10:00:42.0268128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 45 <- wrt source file
2025-12-04T10:00:42.0269636Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-12-04T10:00:42.0271130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 102 <- wrt source file
2025-12-04T10:00:42.0272651Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-12-04T10:00:42.0274179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-12-04T10:00:42.0275826Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-12-04T10:00:42.0277422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-12-04T10:00:42.0279074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-12-04T10:00:42.0280678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-12-04T10:00:42.0282390Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-12-04T10:00:42.0283975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-12-04T10:00:42.0285593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-12-04T10:00:42.0287175Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-12-04T10:00:42.0288815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-12-04T10:00:42.0290427Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-12-04T10:00:42.0292091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-12-04T10:00:42.0293960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0, line 158 <- wrt source file
2025-12-04T10:00:42.0295739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-12-04T10:00:42.0297492Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-12-04T10:00:42.0299155Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-12-04T10:00:42.0300744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-12-04T10:00:42.0302364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-12-04T10:00:42.0303946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-12-04T10:00:42.0305640Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-12-04T10:00:42.0307247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0, line 247 <- wrt source file
2025-12-04T10:00:42.0308882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-12-04T10:00:42.0310500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0, line 275 <- wrt source file
2025-12-04T10:00:42.0312158Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-12-04T10:00:42.0313757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0, line 329 <- wrt source file
2025-12-04T10:00:42.0315366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-12-04T10:00:42.0317038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0, line 376 <- wrt source file
2025-12-04T10:00:42.0318676Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-12-04T10:00:42.0320250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 417 <- wrt source file
2025-12-04T10:00:42.0321869Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-12-04T10:00:42.0323401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-12-04T10:00:42.0324967Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-12-04T10:00:42.0326471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-12-04T10:00:42.0327970Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-12-04T10:00:42.0329443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-12-04T10:00:42.0330986Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-12-04T10:00:42.0332516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-12-04T10:00:42.0333982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-12-04T10:00:42.0335465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-12-04T10:00:42.0337009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-12-04T10:00:42.0338613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 28 <- wrt source file
2025-12-04T10:00:42.0340323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-12-04T10:00:42.0342069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-12-04T10:00:42.0343887Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-12-04T10:00:42.0345804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0, line 138 <- wrt source file
2025-12-04T10:00:42.0347753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-12-04T10:00:42.0349616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
2025-12-04T10:00:42.0351490Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-12-04T10:00:42.0353400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 305 <- wrt source file
2025-12-04T10:00:42.0355336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-12-04T10:00:42.0357190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 436 <- wrt source file
2025-12-04T10:00:42.0359033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-12-04T10:00:42.0360813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-12-04T10:00:42.0362581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-12-04T10:00:42.0364297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-12-04T10:00:42.0366019Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-12-04T10:00:42.0367728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-12-04T10:00:42.0369576Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-12-04T10:00:42.0371270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-12-04T10:00:42.0372984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-12-04T10:00:42.0374664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-12-04T10:00:42.0376392Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-12-04T10:00:42.0378094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
2025-12-04T10:00:42.0379881Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-12-04T10:00:42.0381611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
2025-12-04T10:00:42.0383377Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-12-04T10:00:42.0384985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-12-04T10:00:42.0386592Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-12-04T10:00:42.0388004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-12-04T10:00:42.0389397Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-12-04T10:00:42.0390718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file
2025-12-04T10:00:42.0392083Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-12-04T10:00:42.0393970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-12-04T10:00:42.0395890Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-12-04T10:00:42.0397543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-12-04T10:00:42.0399024Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-12-04T10:00:42.0400447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-12-04T10:00:42.0401923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-12-04T10:00:42.0403516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file
2025-12-04T10:00:42.0405061Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-12-04T10:00:42.0406495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file
2025-12-04T10:00:42.0407919Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-12-04T10:00:42.0409227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-12-04T10:00:42.0410442Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-12-04T10:00:42.0411985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-12-04T10:00:42.0413435Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-12-04T10:00:42.0414897Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file
2025-12-04T10:00:42.0416400Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-12-04T10:00:42.0417877Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file
2025-12-04T10:00:42.1365202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-12-04T10:00:42.1394464Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-12-04T10:00:42.1407370Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-12-04T10:00:42.1409011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-12-04T10:00:42.1419634Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-12-04T10:00:42.1421202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file
2025-12-04T10:00:42.1445812Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-12-04T10:00:42.1447353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file
2025-12-04T10:00:42.1466383Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-12-04T10:00:42.1467657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file
2025-12-04T10:00:42.1474909Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-12-04T10:00:42.1476497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file
2025-12-04T10:00:42.1486564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-12-04T10:00:42.1488132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file
2025-12-04T10:00:42.1495496Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-12-04T10:00:42.1497288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file
2025-12-04T10:00:42.1503507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-12-04T10:00:42.1504845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file
2025-12-04T10:00:42.1517736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-12-04T10:00:42.1519205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-12-04T10:00:42.1528925Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-12-04T10:00:42.1530135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-12-04T10:00:42.1535713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-12-04T10:00:42.1537206Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-12-04T10:00:42.1545779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-12-04T10:00:42.1546990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-12-04T10:00:42.1552653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-12-04T10:00:42.1554137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-12-04T10:00:42.1595716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-12-04T10:00:42.1596948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-12-04T10:00:42.1621871Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-12-04T10:00:42.1623621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-12-04T10:00:42.1626511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-12-04T10:00:42.1627966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-12-04T10:00:42.1631559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-12-04T10:00:42.1632710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-12-04T10:00:42.1635837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-12-04T10:00:42.1637002Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-12-04T10:00:42.1652121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-12-04T10:00:42.1653481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-12-04T10:00:42.1656450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-12-04T10:00:42.1657608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-12-04T10:00:42.1661171Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-12-04T10:00:42.1662297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-12-04T10:00:42.1665559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-12-04T10:00:42.1666894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-12-04T10:00:42.1670469Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-12-04T10:00:42.1671885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-12-04T10:00:42.1677006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-12-04T10:00:42.1678449Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-12-04T10:00:42.1682134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-12-04T10:00:42.1683626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-12-04T10:00:42.1686802Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-12-04T10:00:42.1688288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-12-04T10:00:42.1691723Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-12-04T10:00:42.1693238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-12-04T10:00:42.1696531Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-12-04T10:00:42.1698008Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-12-04T10:00:42.1699476Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-12-04T10:00:42.1700904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-12-04T10:00:42.1703770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-12-04T10:00:42.1705389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file
2025-12-04T10:00:42.1707069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-12-04T10:00:42.1708841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file
2025-12-04T10:00:42.1710783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0
2025-12-04T10:00:42.1712825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file
2025-12-04T10:00:42.1715076Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0
2025-12-04T10:00:42.1716946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-12-04T10:00:42.1718647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-12-04T10:00:42.1720500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file
2025-12-04T10:00:42.1722225Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-12-04T10:00:42.1723943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-12-04T10:00:42.1725776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-12-04T10:00:42.1727487Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-12-04T10:00:42.1729118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-12-04T10:00:42.1730865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-12-04T10:00:42.1732587Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-12-04T10:00:42.1734318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-12-04T10:00:42.1738140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-12-04T10:00:42.1739934Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-12-04T10:00:42.1743485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-12-04T10:00:42.1745330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-12-04T10:00:42.1748809Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-12-04T10:00:42.1762629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-12-04T10:00:42.1764192Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-12-04T10:00:42.1765525Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-12-04T10:00:42.1766817Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-12-04T10:00:42.1768068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-12-04T10:00:42.1769342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-12-04T10:00:42.1771407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-12-04T10:00:42.1772693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-12-04T10:00:42.1773992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-12-04T10:00:42.1775341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-12-04T10:00:42.1776611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-12-04T10:00:42.1779030Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-12-04T10:00:42.1780288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-12-04T10:00:42.1783776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-12-04T10:00:42.1785028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-12-04T10:00:42.1788637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-12-04T10:00:42.1789891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-12-04T10:00:42.1793912Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-12-04T10:00:42.1795166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-12-04T10:00:42.1802167Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-12-04T10:00:42.1803996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-12-04T10:00:42.1807714Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-12-04T10:00:42.1809358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-12-04T10:00:42.1813253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-12-04T10:00:42.1814902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-12-04T10:00:42.1818600Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-12-04T10:00:42.1820247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-12-04T10:00:42.1824290Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-12-04T10:00:42.1825989Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-12-04T10:00:42.1829844Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-12-04T10:00:42.1831577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-12-04T10:00:42.1833579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-12-04T10:00:42.1835270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-12-04T10:00:42.1837692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-12-04T10:00:42.1839975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-12-04T10:00:42.1842790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-12-04T10:00:42.1845047Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-12-04T10:00:42.1848446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-12-04T10:00:42.1850741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-12-04T10:00:42.1854298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-12-04T10:00:42.1856483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-12-04T10:00:42.1859464Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-12-04T10:00:42.1861696Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-12-04T10:00:42.1865308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-12-04T10:00:42.1867596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-12-04T10:00:42.1871154Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-12-04T10:00:42.1873475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-12-04T10:00:42.1881599Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-12-04T10:00:42.1883864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-12-04T10:00:42.2153350Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-12-04T10:00:42.2155704Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-12-04T10:00:42.4866450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-12-04T10:00:42.5038627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-12-04T10:00:42.5041213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-12-04T10:00:42.5043783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file
2025-12-04T10:00:42.5046980Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-12-04T10:00:42.5049630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-12-04T10:00:42.5068364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-12-04T10:00:42.5070800Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-12-04T10:00:42.5073095Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-12-04T10:00:42.5075435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file
2025-12-04T10:00:42.5081115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-12-04T10:00:42.5083565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file
2025-12-04T10:00:42.5091969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-12-04T10:00:42.5094616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file
2025-12-04T10:00:42.5105853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-12-04T10:00:42.5108294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-12-04T10:00:42.5110659Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-12-04T10:00:42.5113177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file
2025-12-04T10:00:42.5115541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-12-04T10:00:42.5117858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file
2025-12-04T10:00:42.5119998Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-12-04T10:00:42.5122057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file
2025-12-04T10:00:42.5124368Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-12-04T10:00:42.5126738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-12-04T10:00:42.5129162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-12-04T10:00:42.5131527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-12-04T10:00:42.5133924Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-12-04T10:00:42.5136162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-12-04T10:00:42.5138611Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-12-04T10:00:42.5140788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-12-04T10:00:42.5142994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-12-04T10:00:42.5145243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-12-04T10:00:42.5174306Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-12-04T10:00:42.5176576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-12-04T10:00:42.5279450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-12-04T10:00:42.5281788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-12-04T10:00:42.5285903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-12-04T10:00:42.5288277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-12-04T10:00:42.5391239Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-12-04T10:00:42.5393829Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file
2025-12-04T10:00:42.5400428Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-12-04T10:00:42.5402588Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file
2025-12-04T10:00:42.5420688Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-12-04T10:00:42.5422825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-12-04T10:00:42.5434885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-12-04T10:00:42.5436936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-12-04T10:00:42.5473760Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-12-04T10:00:42.5476013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-12-04T10:00:42.5491677Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-12-04T10:00:42.5494419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-12-04T10:00:42.5727168Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-12-04T10:00:42.5729614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-12-04T10:00:42.8423950Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-12-04T10:00:42.8594563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-12-04T10:00:42.8598690Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-12-04T10:00:42.8599973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-12-04T10:00:42.8606853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-12-04T10:00:42.8608098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-12-04T10:00:42.8618215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-12-04T10:00:42.8619478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-12-04T10:00:42.8639556Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-12-04T10:00:42.8640782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-12-04T10:00:42.8648178Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-12-04T10:00:42.8649393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file
2025-12-04T10:00:42.8682819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-12-04T10:00:42.8684398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file
2025-12-04T10:00:42.8692790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-12-04T10:00:42.8695067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file
2025-12-04T10:00:42.8712012Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-12-04T10:00:42.8713593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file
2025-12-04T10:00:42.8722582Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-12-04T10:00:42.8724134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file
2025-12-04T10:00:42.8732362Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-12-04T10:00:42.8734925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file
2025-12-04T10:00:42.8741110Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-12-04T10:00:42.8743400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file
2025-12-04T10:00:42.8756480Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-12-04T10:00:42.8758943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file
2025-12-04T10:00:42.8764426Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-12-04T10:00:42.8766443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file
2025-12-04T10:00:42.8776520Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-12-04T10:00:42.8778898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file
2025-12-04T10:00:42.8788977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-12-04T10:00:42.8791313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file
2025-12-04T10:00:42.8794017Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-12-04T10:00:42.8796309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file
2025-12-04T10:00:42.8806079Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-12-04T10:00:42.8808507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file
2025-12-04T10:00:42.8815831Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-12-04T10:00:42.8818143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file
2025-12-04T10:00:42.8827329Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-12-04T10:00:42.8830686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file
2025-12-04T10:00:42.8843644Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-12-04T10:00:42.8846125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file
2025-12-04T10:00:42.8872692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-12-04T10:00:42.8875113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file
2025-12-04T10:00:42.8910333Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-12-04T10:00:42.8912018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file
2025-12-04T10:00:42.8913828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-12-04T10:00:42.8915509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file
2025-12-04T10:00:42.8930827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-12-04T10:00:42.8932654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file
2025-12-04T10:00:42.8942172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-12-04T10:00:42.8943823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file
2025-12-04T10:00:42.8945612Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-12-04T10:00:42.8947317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file
2025-12-04T10:00:42.8949049Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-12-04T10:00:42.8950786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file
2025-12-04T10:00:42.8952582Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-12-04T10:00:42.8954300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file
2025-12-04T10:00:42.8955984Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-12-04T10:00:42.8957665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file
2025-12-04T10:00:42.8959425Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-12-04T10:00:42.8961151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file
2025-12-04T10:00:42.8962917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-12-04T10:00:42.8964757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file
2025-12-04T10:00:42.8966444Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-12-04T10:00:42.8968112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file
2025-12-04T10:00:42.8969874Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-12-04T10:00:42.8971677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-12-04T10:00:42.9010849Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-12-04T10:00:42.9012689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-12-04T10:00:42.9023410Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-12-04T10:00:42.9025220Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-12-04T10:00:42.9051890Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-12-04T10:00:42.9053797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file
2025-12-04T10:00:42.9058910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-12-04T10:00:42.9060563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-12-04T10:00:42.9067835Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-12-04T10:00:42.9069491Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-12-04T10:00:42.9099738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-12-04T10:00:42.9101413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-12-04T10:00:43.6937482Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-12-04T10:00:43.7214883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-12-04T10:00:43.7227243Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-12-04T10:00:43.7229631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-12-04T10:00:43.7234718Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-12-04T10:00:43.7237074Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-12-04T10:00:43.7262141Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-12-04T10:00:43.7264798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-12-04T10:00:43.7271940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-12-04T10:00:43.7274288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-12-04T10:00:43.7280402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-12-04T10:00:43.7282812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-12-04T10:00:43.7285329Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-12-04T10:00:43.7287691Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-12-04T10:00:43.7295166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-12-04T10:00:43.7297592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-12-04T10:00:43.7303338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-12-04T10:00:43.7306016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-12-04T10:00:44.2882272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-12-04T10:00:44.3159059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-12-04T10:00:44.3170750Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-12-04T10:00:44.3172047Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-12-04T10:00:44.3179235Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-12-04T10:00:44.3180592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-12-04T10:00:44.3206788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-12-04T10:00:44.3208473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-12-04T10:00:44.3214781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-12-04T10:00:44.3216538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-12-04T10:00:44.3222206Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-12-04T10:00:44.3223902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-12-04T10:00:44.3229888Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-12-04T10:00:44.3231809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-12-04T10:00:44.3287980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-12-04T10:00:44.3289600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-12-04T10:00:44.5602369Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-12-04T10:00:44.5666647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-12-04T10:00:44.5682182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-12-04T10:00:44.5683857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-12-04T10:00:44.5710163Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-12-04T10:00:44.5711804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-12-04T10:00:44.6573264Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-12-04T10:00:44.6575791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-12-04T10:00:44.6586905Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-12-04T10:00:44.6589410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-12-04T10:00:44.6640828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-12-04T10:00:44.6643296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-12-04T10:00:44.8602903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-12-04T10:00:44.8666228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-12-04T10:00:44.8726464Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-12-04T10:00:44.8729166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-12-04T10:00:44.9501057Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-12-04T10:00:44.9503648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-12-04T10:00:44.9512913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-12-04T10:00:44.9515454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-12-04T10:00:44.9579776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-12-04T10:00:44.9582699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-12-04T10:00:45.2094492Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-12-04T10:00:45.2158095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-12-04T10:00:45.2175814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-12-04T10:00:45.2178480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-12-04T10:00:45.2188281Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-12-04T10:00:45.2190948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-12-04T10:00:45.2225407Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-12-04T10:00:45.2228094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-12-04T10:00:45.2241190Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-12-04T10:00:45.2243878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-12-04T10:00:45.2251937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-12-04T10:00:45.2254595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-12-04T10:00:45.2278909Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-12-04T10:00:45.2281311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-12-04T10:00:45.2301772Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-12-04T10:00:45.2303978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-12-04T10:00:45.2923544Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-12-04T10:00:45.2925781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-12-04T10:00:45.2948378Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-12-04T10:00:45.2950722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-12-04T10:00:45.2962376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-12-04T10:00:45.2964155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-12-04T10:00:45.2975497Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-12-04T10:00:45.2977021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-12-04T10:00:45.2993960Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-12-04T10:00:45.2996345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-12-04T10:00:45.3012055Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-12-04T10:00:45.3014658Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file
2025-12-04T10:00:45.3019854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-12-04T10:00:45.3022488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file
2025-12-04T10:00:45.3039359Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-12-04T10:00:45.3042028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file
2025-12-04T10:00:45.3048859Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-12-04T10:00:45.3051569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-12-04T10:00:46.2855120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-12-04T10:00:46.3009795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file
2025-12-04T10:00:46.3011361Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-12-04T10:00:46.3012828Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-12-04T10:00:46.4432521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-12-04T10:00:46.4437832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file
2025-12-04T10:00:46.7499765Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-12-04T10:00:46.7509406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file
2025-12-04T10:00:46.7904907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-12-04T10:00:46.7908096Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file
2025-12-04T10:00:46.8615161Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-12-04T10:00:46.8617136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-12-04T10:00:46.8651034Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-12-04T10:00:46.8653130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-12-04T10:00:46.8668358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-12-04T10:00:46.8679928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-12-04T10:00:46.8681784Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-12-04T10:00:46.8683598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file
2025-12-04T10:00:46.8685381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-12-04T10:00:46.8687208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-12-04T10:00:46.8689148Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-12-04T10:00:46.8691116Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file
2025-12-04T10:00:46.8693166Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-12-04T10:00:46.8695641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file
2025-12-04T10:00:46.8697665Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-12-04T10:00:46.8699776Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file
2025-12-04T10:00:46.8701987Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-12-04T10:00:46.8704178Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file
2025-12-04T10:00:46.8706473Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-12-04T10:00:46.8708693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file
2025-12-04T10:00:46.8711007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-12-04T10:00:46.8713245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file
2025-12-04T10:00:46.8715474Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-12-04T10:00:46.8717447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-12-04T10:00:46.8719342Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-12-04T10:00:46.8721164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-12-04T10:00:46.8722709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-12-04T10:00:46.8724465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file
2025-12-04T10:00:46.8726465Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-12-04T10:00:46.8728448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file
2025-12-04T10:00:46.8730464Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-12-04T10:00:46.8732326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file
2025-12-04T10:00:46.8734104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-12-04T10:00:46.8735825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file
2025-12-04T10:00:46.8737596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-12-04T10:00:46.8739465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file
2025-12-04T10:00:46.8741273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-12-04T10:00:46.8742898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-12-04T10:00:46.8744285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-12-04T10:00:46.8745636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file
2025-12-04T10:00:46.8747008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-12-04T10:00:46.8748322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file
2025-12-04T10:00:46.8749637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-12-04T10:00:46.8750941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file
2025-12-04T10:00:46.8752273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-12-04T10:00:46.8753549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file
2025-12-04T10:00:46.8754850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-12-04T10:00:46.8756174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file
2025-12-04T10:00:46.8760808Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-12-04T10:00:46.8762231Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file
2025-12-04T10:00:46.8771495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-12-04T10:00:46.8772761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file
2025-12-04T10:00:46.8778781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-12-04T10:00:46.8780013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file
2025-12-04T10:00:46.8789104Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-12-04T10:00:46.8790375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file
2025-12-04T10:00:46.8807220Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-12-04T10:00:46.8808490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file
2025-12-04T10:00:46.8813964Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-12-04T10:00:46.8815363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file
2025-12-04T10:00:46.8830827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-12-04T10:00:46.8832397Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file
2025-12-04T10:00:46.8841007Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-12-04T10:00:46.8842580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file
2025-12-04T10:00:46.8864886Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-12-04T10:00:46.8866618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file
2025-12-04T10:00:46.8874132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-12-04T10:00:46.8875900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file
2025-12-04T10:00:46.8882700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-12-04T10:00:46.8884433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file
2025-12-04T10:00:46.8887846Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-12-04T10:00:46.8889499Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file
2025-12-04T10:00:46.8897377Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-12-04T10:00:46.8899237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file
2025-12-04T10:00:46.8904919Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-12-04T10:00:46.8906769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-12-04T10:00:46.8908630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-12-04T10:00:46.8910753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file
2025-12-04T10:00:46.8913388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-12-04T10:00:46.8915306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file
2025-12-04T10:00:46.8916906Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-12-04T10:00:46.8918532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file
2025-12-04T10:00:46.8920259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-12-04T10:00:46.8922015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file
2025-12-04T10:00:46.8923597Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-12-04T10:00:46.8925168Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file
2025-12-04T10:00:46.8926823Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-12-04T10:00:46.8928414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file
2025-12-04T10:00:46.8930025Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-12-04T10:00:46.8931596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file
2025-12-04T10:00:46.8933184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-12-04T10:00:46.8934797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file
2025-12-04T10:00:46.8936475Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-12-04T10:00:46.8938097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file
2025-12-04T10:00:46.8939757Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-12-04T10:00:46.8941392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file
2025-12-04T10:00:46.8943049Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-12-04T10:00:46.8944852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file
2025-12-04T10:00:46.8946676Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-12-04T10:00:46.8948374Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file
2025-12-04T10:00:46.8950107Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-12-04T10:00:46.8951731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file
2025-12-04T10:00:46.8953330Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-12-04T10:00:46.8955077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file
2025-12-04T10:00:46.8956971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-12-04T10:00:46.8958880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file
2025-12-04T10:00:46.8960856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-12-04T10:00:46.8962869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file
2025-12-04T10:00:46.8964842Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-12-04T10:00:46.8966605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file
2025-12-04T10:00:46.8968224Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-12-04T10:00:46.8969914Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file
2025-12-04T10:00:46.8971718Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-12-04T10:00:46.8973401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file
2025-12-04T10:00:46.8975011Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-12-04T10:00:46.8976601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file
2025-12-04T10:00:46.8978223Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-12-04T10:00:46.8979779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file
2025-12-04T10:00:46.8981324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-12-04T10:00:46.8982827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file
2025-12-04T10:00:46.8984414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-12-04T10:00:46.8986019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-12-04T10:00:46.8987634Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-12-04T10:00:46.8989430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file
2025-12-04T10:00:46.8991479Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-12-04T10:00:46.8993256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file
2025-12-04T10:00:46.8995080Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-12-04T10:00:46.8996767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file
2025-12-04T10:00:46.8998655Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-12-04T10:00:46.9000404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-12-04T10:00:46.9018713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-12-04T10:00:46.9020482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-12-04T10:00:46.9022095Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-12-04T10:00:46.9023783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file
2025-12-04T10:00:46.9025659Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-12-04T10:00:46.9027473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 769 <- wrt source file
2025-12-04T10:00:46.9029312Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-12-04T10:00:46.9031070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 858 <- wrt source file
2025-12-04T10:00:46.9032861Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-12-04T10:00:46.9034737Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4839 <- wrt source file
2025-12-04T10:00:46.9036596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-12-04T10:00:46.9038165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4853 <- wrt source file
2025-12-04T10:00:46.9039785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-12-04T10:00:46.9041463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4883 <- wrt source file
2025-12-04T10:00:46.9043072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-12-04T10:00:46.9044572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-12-04T10:00:46.9046035Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-12-04T10:00:46.9047538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-12-04T10:00:46.9049111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-12-04T10:00:46.9050770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 341 <- wrt source file
2025-12-04T10:00:46.9052568Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-12-04T10:00:46.9054336Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-12-04T10:00:46.9056233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-12-04T10:00:46.9057785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file
2025-12-04T10:00:46.9059178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-12-04T10:00:46.9060479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file
2025-12-04T10:00:46.9061769Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-12-04T10:00:46.9063039Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file
2025-12-04T10:00:46.9076322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-12-04T10:00:46.9077619Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file
2025-12-04T10:00:46.9081839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-12-04T10:00:46.9083169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file
2025-12-04T10:00:46.9088689Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-12-04T10:00:46.9089962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file
2025-12-04T10:00:46.9094309Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-12-04T10:00:46.9095587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file
2025-12-04T10:00:46.9100376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-12-04T10:00:46.9101654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file
2025-12-04T10:00:46.9107305Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-12-04T10:00:46.9108593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file
2025-12-04T10:00:46.9117582Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-12-04T10:00:46.9118918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file
2025-12-04T10:00:46.9130326Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-12-04T10:00:46.9131634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file
2025-12-04T10:00:46.9141115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-12-04T10:00:46.9142376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file
2025-12-04T10:00:46.9148507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-12-04T10:00:46.9149728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file
2025-12-04T10:00:46.9155892Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-12-04T10:00:46.9157440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file
2025-12-04T10:00:46.9159724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-12-04T10:00:46.9161910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file
2025-12-04T10:00:46.9163680Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-12-04T10:00:46.9165266Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 417 <- wrt source file
2025-12-04T10:00:46.9166782Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-12-04T10:00:46.9168234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 561 <- wrt source file
2025-12-04T10:00:46.9169680Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-12-04T10:00:46.9171098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 763 <- wrt source file
2025-12-04T10:00:46.9172575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-12-04T10:00:46.9174138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file
2025-12-04T10:00:46.9175811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-12-04T10:00:46.9178230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file
2025-12-04T10:00:46.9180927Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-12-04T10:00:46.9183143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file
2025-12-04T10:00:46.9184525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-12-04T10:00:46.9185942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file
2025-12-04T10:00:46.9187322Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-12-04T10:00:46.9188677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file
2025-12-04T10:00:46.9190048Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-12-04T10:00:46.9191394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file
2025-12-04T10:00:46.9192863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-12-04T10:00:46.9194414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1759 <- wrt source file
2025-12-04T10:00:46.9195723Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-12-04T10:00:46.9197091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0, line 2032 <- wrt source file
2025-12-04T10:00:46.9198533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-12-04T10:00:46.9200034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-12-04T10:00:46.9202651Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-12-04T10:00:46.9204175Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-12-04T10:00:46.9205895Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-12-04T10:00:46.9215606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file
2025-12-04T10:00:46.9717999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-12-04T10:00:46.9719526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-12-04T10:00:46.9725541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-12-04T10:00:46.9727309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-12-04T10:00:46.9728700Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-12-04T10:00:46.9730016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file
2025-12-04T10:00:46.9731348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-12-04T10:00:46.9732734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-12-04T10:00:46.9734208Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-12-04T10:00:46.9735569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-12-04T10:00:46.9737009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-12-04T10:00:46.9738365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-12-04T10:00:46.9739826Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-12-04T10:00:46.9741335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-12-04T10:00:46.9744469Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-12-04T10:00:46.9745945Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-12-04T10:00:46.9748397Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-12-04T10:00:46.9749767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-12-04T10:00:46.9754033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-12-04T10:00:46.9755417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file
2025-12-04T10:00:46.9760439Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-12-04T10:00:46.9761888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file
2025-12-04T10:00:46.9763959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-12-04T10:00:46.9765559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file
2025-12-04T10:00:46.9767221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-12-04T10:00:46.9768767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-12-04T10:00:46.9770500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-12-04T10:00:46.9772123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file
2025-12-04T10:00:46.9778318Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-12-04T10:00:46.9779999Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file
2025-12-04T10:00:46.9781745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T10:00:46.9783396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-12-04T10:00:46.9808229Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-12-04T10:00:46.9810141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 89 <- wrt source file
2025-12-04T10:00:46.9811811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-12-04T10:00:46.9814214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 308 <- wrt source file
2025-12-04T10:00:46.9816588Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-12-04T10:00:46.9818533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 397 <- wrt source file
2025-12-04T10:00:46.9820542Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-12-04T10:00:46.9822340Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file
2025-12-04T10:00:46.9824072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-12-04T10:00:46.9825795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file
2025-12-04T10:00:46.9827608Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-12-04T10:00:46.9829574Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file
2025-12-04T10:00:46.9831469Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-12-04T10:00:46.9833300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file
2025-12-04T10:00:46.9835319Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-12-04T10:00:46.9837382Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file
2025-12-04T10:00:46.9839223Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-12-04T10:00:46.9841130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 102 <- wrt source file
2025-12-04T10:00:46.9842832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-12-04T10:00:46.9844451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 169 <- wrt source file
2025-12-04T10:00:46.9846413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-12-04T10:00:46.9848025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-12-04T10:00:46.9849669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-12-04T10:00:46.9851344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file
2025-12-04T10:00:46.9853108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-12-04T10:00:46.9854895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
2025-12-04T10:00:46.9856621Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-12-04T10:00:46.9858250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file
2025-12-04T10:00:46.9859854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-12-04T10:00:46.9861501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file
2025-12-04T10:00:46.9863220Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T10:00:46.9864871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
2025-12-04T10:00:46.9866602Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-12-04T10:00:46.9868184Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 76 <- wrt source file
2025-12-04T10:00:46.9869812Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-12-04T10:00:46.9871409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
2025-12-04T10:00:46.9873037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-12-04T10:00:46.9874713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file
2025-12-04T10:00:46.9876397Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-12-04T10:00:46.9878013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-12-04T10:00:46.9879607Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-12-04T10:00:46.9881159Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-12-04T10:00:46.9882726Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-12-04T10:00:46.9884214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-12-04T10:00:47.6290703Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-12-04T10:00:47.6293247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-12-04T10:00:47.6296197Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-12-04T10:00:47.6299058Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file
2025-12-04T10:00:47.6301688Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-12-04T10:00:47.6304308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file
2025-12-04T10:00:47.6307090Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-12-04T10:00:47.6309712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file
2025-12-04T10:00:47.6312387Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-12-04T10:00:47.6314996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file
2025-12-04T10:00:47.6317693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-12-04T10:00:47.6320289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file
2025-12-04T10:00:47.6322928Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-12-04T10:00:47.6325810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file
2025-12-04T10:00:47.6328500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-12-04T10:00:47.6331489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file
2025-12-04T10:00:47.6334234Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-12-04T10:00:47.6336879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file
2025-12-04T10:00:47.6339581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-12-04T10:00:47.6342130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file
2025-12-04T10:00:47.6344745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-12-04T10:00:47.6347353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file
2025-12-04T10:00:47.6349903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-12-04T10:00:47.6352469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file
2025-12-04T10:00:47.6355294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-12-04T10:00:47.6357904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file
2025-12-04T10:00:47.6360769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-12-04T10:00:47.6363608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file
2025-12-04T10:00:47.6366667Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-12-04T10:00:47.6369729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file
2025-12-04T10:00:47.6372814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-12-04T10:00:47.6375703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file
2025-12-04T10:00:47.6378569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-12-04T10:00:47.6381229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file
2025-12-04T10:00:47.6383851Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-12-04T10:00:47.6385301Z ============
2025-12-04T10:00:47.6385766Z Finished doctests
2025-12-04T10:00:47.6386153Z 378 / 894 passed
2025-12-04T10:00:47.6386572Z 
2025-12-04T10:00:47.6387084Z === Found 17 parse-time warnings ===
2025-12-04T10:00:47.6387940Z --- Parse Warning: 1 / 17 ---
2025-12-04T10:00:47.6389902Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368.
2025-12-04T10:00:47.6392061Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6393099Z     Registers the function implementation as the fallback for the given key.
2025-12-04T10:00:47.6394122Z     
2025-12-04T10:00:47.6394690Z             This function only works for a library with global namespace ("_").
2025-12-04T10:00:47.6395430Z     
2025-12-04T10:00:47.6395746Z             Args:
2025-12-04T10:00:47.6396465Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T10:00:47.6397369Z                     to register a fallthrough.
2025-12-04T10:00:47.6398336Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T10:00:47.6399387Z                               the dispatch key that the library was created with.
2025-12-04T10:00:47.6400551Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T10:00:47.6401986Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T10:00:47.6402880Z     
2025-12-04T10:00:47.6403230Z             Example::
2025-12-04T10:00:47.6403625Z     
2025-12-04T10:00:47.6403986Z                 >>> my_lib = Library("_", "IMPL")
2025-12-04T10:00:47.6404815Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T10:00:47.6405457Z                 >>>     # Handle all autocast ops generically
2025-12-04T10:00:47.6406017Z                 >>>     # ...
2025-12-04T10:00:47.6406550Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T10:00:47.6407147Z             
2025-12-04T10:00:47.6408498Z     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))
2025-12-04T10:00:47.6409947Z     
2025-12-04T10:00:47.6410362Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T10:00:47.6410939Z     ^
2025-12-04T10:00:47.6411281Z       warnings.warn(msg)
2025-12-04T10:00:47.6411718Z     
2025-12-04T10:00:47.6412342Z --- Parse Warning: 2 / 17 ---
2025-12-04T10:00:47.6414285Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958.
2025-12-04T10:00:47.6416447Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6417506Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T10:00:47.6418264Z     
2025-12-04T10:00:47.6418776Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T10:00:47.6419443Z     
2025-12-04T10:00:47.6420051Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T10:00:47.6421074Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T10:00:47.6422098Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T10:00:47.6422974Z         what the properties of the output Tensors are.
2025-12-04T10:00:47.6423569Z     
2025-12-04T10:00:47.6424150Z         The FakeTensor implementation has the same signature as the operator.
2025-12-04T10:00:47.6425253Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T10:00:47.6426202Z         implementation, assume that all Tensor inputs to the operator are
2025-12-04T10:00:47.6427168Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T10:00:47.6428320Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T10:00:47.6429293Z         The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T10:00:47.6430274Z         (and may not directly access the storage or data of any input or
2025-12-04T10:00:47.6430979Z         intermediate Tensors).
2025-12-04T10:00:47.6431434Z     
2025-12-04T10:00:47.6431899Z         This API may be used as a decorator (see examples).
2025-12-04T10:00:47.6432483Z     
2025-12-04T10:00:47.6432901Z         For a detailed guide on custom ops, please see
2025-12-04T10:00:47.6433744Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T10:00:47.6434509Z     
2025-12-04T10:00:47.6434847Z         Args:
2025-12-04T10:00:47.6435469Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T10:00:47.6436302Z             func: Fake tensor implementation.
2025-12-04T10:00:47.6437050Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T10:00:47.6437938Z             allow_override: Flag controlling if we want to override an
2025-12-04T10:00:47.6438758Z                             existing registered fake impl. This is by default off,
2025-12-04T10:00:47.6439580Z                             and will error you're trying to register a fake impl to
2025-12-04T10:00:47.6440390Z                             an operator that already has a fake impl. This also only
2025-12-04T10:00:47.6441244Z                             applies if the custom operator was not created via
2025-12-04T10:00:47.6442170Z                             torch.library.custom_op, as overriding and existing fake
2025-12-04T10:00:47.6443049Z                             impl is already allowed.
2025-12-04T10:00:47.6443603Z     
2025-12-04T10:00:47.6443945Z         Examples:
2025-12-04T10:00:47.6444339Z             >>> import torch
2025-12-04T10:00:47.6444812Z             >>> import numpy as np
2025-12-04T10:00:47.6445374Z             >>> from torch import Tensor
2025-12-04T10:00:47.6445887Z             >>>
2025-12-04T10:00:47.6446447Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T10:00:47.6447380Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T10:00:47.6448365Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T10:00:47.6449272Z             >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T10:00:47.6449942Z             >>>
2025-12-04T10:00:47.6450475Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T10:00:47.6451141Z             >>> def _(x, weight, bias):
2025-12-04T10:00:47.6451689Z             >>>     assert x.dim() == 2
2025-12-04T10:00:47.6452245Z             >>>     assert weight.dim() == 2
2025-12-04T10:00:47.6452797Z             >>>     assert bias.dim() == 1
2025-12-04T10:00:47.6453391Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T10:00:47.6454030Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T10:00:47.6454684Z             >>>     assert x.device == weight.device
2025-12-04T10:00:47.6455225Z             >>>
2025-12-04T10:00:47.6455645Z             >>>     return (x @ weight.t()) + bias
2025-12-04T10:00:47.6456186Z             >>>
2025-12-04T10:00:47.6456685Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T10:00:47.6457373Z             >>>     x = torch.randn(2, 3)
2025-12-04T10:00:47.6457919Z             >>>     w = torch.randn(3, 3)
2025-12-04T10:00:47.6458455Z             >>>     b = torch.randn(3)
2025-12-04T10:00:47.6459054Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T10:00:47.6459650Z             >>>
2025-12-04T10:00:47.6460038Z             >>> assert y.shape == (2, 3)
2025-12-04T10:00:47.6460543Z             >>>
2025-12-04T10:00:47.6461061Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T10:00:47.6462079Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T10:00:47.6462898Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T10:00:47.6463507Z             >>>     x_np = x.numpy(force=True)
2025-12-04T10:00:47.6464122Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T10:00:47.6464766Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T10:00:47.6465458Z             >>>
2025-12-04T10:00:47.6465997Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T10:00:47.6466662Z             >>> def _(x):
2025-12-04T10:00:47.6467181Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T10:00:47.6467912Z             >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T10:00:47.6468655Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T10:00:47.6469325Z             >>> # represents the data-dependent size.
2025-12-04T10:00:47.6469949Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T10:00:47.6470559Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T10:00:47.6471118Z             >>>     shape = [nnz, x.dim()]
2025-12-04T10:00:47.6471743Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T10:00:47.6472384Z             >>>     return result
2025-12-04T10:00:47.6472855Z             >>>
2025-12-04T10:00:47.6473371Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T10:00:47.6473983Z             >>>
2025-12-04T10:00:47.6474380Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T10:00:47.6475340Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T10:00:47.6476177Z             >>> trace.print_readable()
2025-12-04T10:00:47.6476687Z             >>>
2025-12-04T10:00:47.6477309Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T10:00:47.6478057Z     
2025-12-04T10:00:47.6478384Z         
2025-12-04T10:00:47.6479522Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T10:00:47.6480830Z     
2025-12-04T10:00:47.6481168Z     _._ = None
2025-12-04T10:00:47.6481534Z     ^
2025-12-04T10:00:47.6481888Z       warnings.warn(msg)
2025-12-04T10:00:47.6482333Z     
2025-12-04T10:00:47.6482925Z --- Parse Warning: 3 / 17 ---
2025-12-04T10:00:47.6484849Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530.
2025-12-04T10:00:47.6487087Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6488166Z     Returns the computed kernel for a given operator and dispatch key.
2025-12-04T10:00:47.6488923Z     
2025-12-04T10:00:47.6489526Z         This function retrieves the kernel that would be executed for a given
2025-12-04T10:00:47.6490565Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T10:00:47.6491570Z         can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T10:00:47.6492524Z         case for this function is to retrieve the original kernel for a given
2025-12-04T10:00:47.6493817Z         dispatch key and then register another kernel to the same dispatch key
2025-12-04T10:00:47.6494755Z         that calls into the original kernel for certain cases.
2025-12-04T10:00:47.6495383Z     
2025-12-04T10:00:47.6495735Z         Args:
2025-12-04T10:00:47.6496317Z             op: Operator name (along with the overload) or OpOverload object
2025-12-04T10:00:47.6497405Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T10:00:47.6498536Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T10:00:47.6499792Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T10:00:47.6500506Z     
2025-12-04T10:00:47.6500836Z         Returns:
2025-12-04T10:00:47.6501495Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T10:00:47.6502297Z                 call the kernel.
2025-12-04T10:00:47.6502742Z     
2025-12-04T10:00:47.6503079Z         Raises:
2025-12-04T10:00:47.6503555Z             RuntimeError: If the operator does not exist.
2025-12-04T10:00:47.6504155Z     
2025-12-04T10:00:47.6504468Z         Example:
2025-12-04T10:00:47.6504909Z             >>> # Get the CPU kernel for torch.add
2025-12-04T10:00:47.6505738Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T10:00:47.6506419Z             >>>
2025-12-04T10:00:47.6506859Z             >>> # You can also use DispatchKey enum
2025-12-04T10:00:47.6507731Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T10:00:47.6508526Z             >>>
2025-12-04T10:00:47.6508945Z             >>> # Or use an OpOverload directly
2025-12-04T10:00:47.6509743Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T10:00:47.6510494Z             >>>
2025-12-04T10:00:47.6511085Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T10:00:47.6511898Z             >>> # Get the original kernel for torch.sin
2025-12-04T10:00:47.6512701Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T10:00:47.6513621Z             >>>
2025-12-04T10:00:47.6514245Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T10:00:47.6515108Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T10:00:47.6515714Z             >>>     if (x < 0).any():
2025-12-04T10:00:47.6516369Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T10:00:47.6517075Z             >>>     else:
2025-12-04T10:00:47.6517546Z             >>>         return torch.zeros_like(x)
2025-12-04T10:00:47.6518069Z             >>>
2025-12-04T10:00:47.6518521Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T10:00:47.6519431Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T10:00:47.6520436Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T10:00:47.6521315Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T10:00:47.6522009Z             >>>
2025-12-04T10:00:47.6522444Z             >>> # Test the conditional behavior
2025-12-04T10:00:47.6523037Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T10:00:47.6523672Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T10:00:47.6524274Z             >>> torch.sin(x_positive)
2025-12-04T10:00:47.6524792Z             tensor([0., 0.])
2025-12-04T10:00:47.6525254Z             >>> torch.sin(x_mixed)
2025-12-04T10:00:47.6525805Z             tensor([-0.8415, 0.9093])
2025-12-04T10:00:47.6526276Z         
2025-12-04T10:00:47.6527315Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T10:00:47.6528501Z     
2025-12-04T10:00:47.6528986Z     which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T10:00:47.6529637Z           ^
2025-12-04T10:00:47.6529996Z       warnings.warn(msg)
2025-12-04T10:00:47.6530407Z     
2025-12-04T10:00:47.6530966Z --- Parse Warning: 4 / 17 ---
2025-12-04T10:00:47.6532970Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70.
2025-12-04T10:00:47.6535441Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6536518Z     Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T10:00:47.6537531Z         required drivers are available and at least one device is visible.
2025-12-04T10:00:47.6538362Z         See :ref:`accelerator<accelerators>` for details.
2025-12-04T10:00:47.6538953Z     
2025-12-04T10:00:47.6539272Z         Returns:
2025-12-04T10:00:47.6539984Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T10:00:47.6540819Z     
2025-12-04T10:00:47.6541435Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T10:00:47.6542515Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T10:00:47.6543634Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T10:00:47.6544535Z             :ref:`multiprocessing-poison-fork-note`.
2025-12-04T10:00:47.6545230Z     
2025-12-04T10:00:47.6545579Z         Example::
2025-12-04T10:00:47.6545954Z     
2025-12-04T10:00:47.6546622Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:47.6547462Z         
2025-12-04T10:00:47.6548670Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T10:00:47.6550030Z     
2025-12-04T10:00:47.6550684Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:47.6551688Z                                             ^
2025-12-04T10:00:47.6552222Z       warnings.warn(msg)
2025-12-04T10:00:47.6552637Z     
2025-12-04T10:00:47.6553188Z --- Parse Warning: 5 / 17 ---
2025-12-04T10:00:47.6555252Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T10:00:47.6557593Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6558611Z     Wait for all kernels in all streams on the given device to complete.
2025-12-04T10:00:47.6559334Z     
2025-12-04T10:00:47.6559675Z         Args:
2025-12-04T10:00:47.6560429Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T10:00:47.6561608Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T10:00:47.6562573Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T10:00:47.6563276Z     
2025-12-04T10:00:47.6564010Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T10:00:47.6564928Z     
2025-12-04T10:00:47.6565259Z         Example::
2025-12-04T10:00:47.6565598Z     
2025-12-04T10:00:47.6566001Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T10:00:47.6566940Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:47.6567864Z             >>> start_event = torch.Event(enable_timing=True)
2025-12-04T10:00:47.6568546Z             >>> end_event = torch.Event(enable_timing=True)
2025-12-04T10:00:47.6569157Z             >>> start_event.record()
2025-12-04T10:00:47.6569930Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T10:00:47.6570744Z             >>> sum = torch.sum(tensor)
2025-12-04T10:00:47.6571296Z             >>> end_event.record()
2025-12-04T10:00:47.6571849Z             >>> torch.accelerator.synchronize()
2025-12-04T10:00:47.6572531Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T10:00:47.6573178Z         
2025-12-04T10:00:47.6574514Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T10:00:47.6575947Z     
2025-12-04T10:00:47.6576603Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T10:00:47.6577475Z                                             ^
2025-12-04T10:00:47.6578017Z       warnings.warn(msg)
2025-12-04T10:00:47.6578431Z     
2025-12-04T10:00:47.6578985Z --- Parse Warning: 6 / 17 ---
2025-12-04T10:00:47.6580981Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T10:00:47.6583247Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6584201Z     Retrieves the CUDA runtime API module.
2025-12-04T10:00:47.6584748Z     
2025-12-04T10:00:47.6585185Z     
2025-12-04T10:00:47.6585825Z         This function initializes the CUDA runtime environment if it is not already
2025-12-04T10:00:47.6586911Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T10:00:47.6587938Z         runtime API module provides access to various CUDA runtime functions.
2025-12-04T10:00:47.6588692Z     
2025-12-04T10:00:47.6589037Z         Args:
2025-12-04T10:00:47.6589401Z             ``None``
2025-12-04T10:00:47.6589774Z     
2025-12-04T10:00:47.6590106Z         Returns:
2025-12-04T10:00:47.6590586Z             module: The CUDA runtime API module (_cudart).
2025-12-04T10:00:47.6591163Z     
2025-12-04T10:00:47.6591653Z         Raises:
2025-12-04T10:00:47.6592288Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T10:00:47.6593844Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T10:00:47.6594844Z     
2025-12-04T10:00:47.6595284Z         Example of CUDA operations with profiling:
2025-12-04T10:00:47.6595897Z             >>> import torch
2025-12-04T10:00:47.6596421Z             >>> from torch.cuda import cudart, check_error
2025-12-04T10:00:47.6597027Z             >>> import os
2025-12-04T10:00:47.6597454Z             >>>
2025-12-04T10:00:47.6597866Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T10:00:47.6598417Z             >>>
2025-12-04T10:00:47.6598879Z             >>> def perform_cuda_operations_with_streams():
2025-12-04T10:00:47.6599515Z             >>>     stream = torch.cuda.Stream()
2025-12-04T10:00:47.6600126Z             >>>     with torch.cuda.stream(stream):
2025-12-04T10:00:47.6600755Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T10:00:47.6601403Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T10:00:47.6601980Z             >>>         z = torch.mul(x, y)
2025-12-04T10:00:47.6602513Z             >>>     return z
2025-12-04T10:00:47.6602952Z             >>>
2025-12-04T10:00:47.6603350Z             >>> torch.cuda.synchronize()
2025-12-04T10:00:47.6603961Z             >>> print("====== Start nsys profiling ======")
2025-12-04T10:00:47.6604635Z             >>> check_error(cudart().cudaProfilerStart())
2025-12-04T10:00:47.6605306Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T10:00:47.6606021Z             >>>     result = perform_cuda_operations_with_streams()
2025-12-04T10:00:47.6606723Z             >>>     print("CUDA operations completed.")
2025-12-04T10:00:47.6607427Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T10:00:47.6608134Z             >>> print("====== End nsys profiling ======")
2025-12-04T10:00:47.6608700Z     
2025-12-04T10:00:47.6609197Z         To run this example and save the profiling information, execute:
2025-12-04T10:00:47.6610303Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T10:00:47.6611225Z     
2025-12-04T10:00:47.6612023Z         This command profiles the CUDA operations in the provided script and saves
2025-12-04T10:00:47.6613036Z         the profiling information to a file named `trace_name.prof`.
2025-12-04T10:00:47.6613997Z         The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T10:00:47.6614907Z         after the `cudaProfilerStart` call in the script.
2025-12-04T10:00:47.6615769Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T10:00:47.6616603Z         CSV file and print a summary, respectively.
2025-12-04T10:00:47.6617463Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T10:00:47.6618405Z         overwrite of the output file if it already exists.
2025-12-04T10:00:47.6619008Z         
2025-12-04T10:00:47.6620431Z     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))
2025-12-04T10:00:47.6622021Z     
2025-12-04T10:00:47.6622853Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T10:00:47.6623845Z     ^
2025-12-04T10:00:47.6624217Z       warnings.warn(msg)
2025-12-04T10:00:47.6624654Z     
2025-12-04T10:00:47.6625308Z --- Parse Warning: 7 / 17 ---
2025-12-04T10:00:47.6627304Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T10:00:47.6629739Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6630651Z     
2025-12-04T10:00:47.6631253Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T10:00:47.6632243Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T10:00:47.6633205Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T10:00:47.6633973Z     vectorizing those operations.
2025-12-04T10:00:47.6634461Z     
2025-12-04T10:00:47.6635022Z     vmap is useful for handling batch dimensions: one can write a function
2025-12-04T10:00:47.6635985Z     ``func`` that runs on examples and then lift it to a function that can
2025-12-04T10:00:47.6636906Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T10:00:47.6637803Z     compute batched gradients when composed with autograd.
2025-12-04T10:00:47.6638448Z     
2025-12-04T10:00:47.6638784Z     .. note::
2025-12-04T10:00:47.6639323Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T10:00:47.6640073Z         convenience. Use whichever one you'd like.
2025-12-04T10:00:47.6640620Z     
2025-12-04T10:00:47.6640950Z     Args:
2025-12-04T10:00:47.6641512Z         func (function): A Python function that takes one or more arguments.
2025-12-04T10:00:47.6642287Z             Must return one or more Tensors.
2025-12-04T10:00:47.6643015Z         in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T10:00:47.6643891Z             inputs should be mapped over. ``in_dims`` should have a
2025-12-04T10:00:47.6644719Z             structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T10:00:47.6645569Z             input is None, then that indicates there is no map dimension.
2025-12-04T10:00:47.6646273Z             Default: 0.
2025-12-04T10:00:47.6646882Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T10:00:47.6647774Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T10:00:47.6648608Z             it should have one element per output. Default: 0.
2025-12-04T10:00:47.6649424Z         randomness (str): Specifies whether the randomness in this
2025-12-04T10:00:47.6650319Z             vmap should be the same or different across batches. If 'different',
2025-12-04T10:00:47.6651348Z             the randomness for each batch will be different. If 'same', the
2025-12-04T10:00:47.6652291Z             randomness will be the same across batches. If 'error', any calls to
2025-12-04T10:00:47.6653234Z             random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T10:00:47.6654150Z             only applies to random PyTorch operations and does not apply to
2025-12-04T10:00:47.6654958Z             Python's random module or numpy randomness.
2025-12-04T10:00:47.6655772Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T10:00:47.6656782Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T10:00:47.6657820Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T10:00:47.6658937Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T10:00:47.6659754Z     
2025-12-04T10:00:47.6660083Z     Returns:
2025-12-04T10:00:47.6660631Z         Returns a new "batched" function. It takes the same inputs as
2025-12-04T10:00:47.6661481Z         ``func``, except each input has an extra dimension at the index
2025-12-04T10:00:47.6662340Z         specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T10:00:47.6663185Z         ``func``, except each output has an extra dimension at the index
2025-12-04T10:00:47.6663929Z         specified by ``out_dims``.
2025-12-04T10:00:47.6664428Z     
2025-12-04T10:00:47.6664750Z     .. warning:
2025-12-04T10:00:47.6665441Z         :func:`vmap` works best with functional-style code. Please do not
2025-12-04T10:00:47.6666464Z         perform any side-effects in ``func``, with the exception of
2025-12-04T10:00:47.6667415Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T10:00:47.6668458Z         Python data structures and assigning values to variables not captured
2025-12-04T10:00:47.6669233Z         in ``func``.
2025-12-04T10:00:47.6669641Z     
2025-12-04T10:00:47.6670227Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T10:00:47.6671252Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T10:00:47.6672242Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T10:00:47.6672963Z     
2025-12-04T10:00:47.6673340Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T10:00:47.6674055Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T10:00:47.6674819Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T10:00:47.6675426Z         >>> batched_dot(x, y)
2025-12-04T10:00:47.6675875Z     
2025-12-04T10:00:47.6676465Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T10:00:47.6677248Z     model authoring experience.
2025-12-04T10:00:47.6677719Z     
2025-12-04T10:00:47.6678091Z         >>> batch_size, feature_size = 3, 5
2025-12-04T10:00:47.6678766Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T10:00:47.6679416Z         >>>
2025-12-04T10:00:47.6679795Z         >>> def model(feature_vec):
2025-12-04T10:00:47.6680345Z         >>> # Very simple linear model with activation
2025-12-04T10:00:47.6680988Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T10:00:47.6681552Z         >>>
2025-12-04T10:00:47.6681998Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T10:00:47.6682669Z         >>> result = torch.vmap(model)(examples)
2025-12-04T10:00:47.6683214Z     
2025-12-04T10:00:47.6683833Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T10:00:47.6684901Z     or impossible to batch. One example is higher-order gradient computation.
2025-12-04T10:00:47.6685923Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T10:00:47.6687081Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T10:00:47.6688128Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T10:00:47.6689200Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T10:00:47.6690019Z     call to ``autograd.grad``.
2025-12-04T10:00:47.6690461Z     
2025-12-04T10:00:47.6690794Z         >>> # Setup
2025-12-04T10:00:47.6691181Z         >>> N = 5
2025-12-04T10:00:47.6691591Z         >>> f = lambda x: x**2
2025-12-04T10:00:47.6692119Z         >>> x = torch.randn(N, requires_grad=True)
2025-12-04T10:00:47.6692681Z         >>> y = f(x)
2025-12-04T10:00:47.6693114Z         >>> I_N = torch.eye(N)
2025-12-04T10:00:47.6693814Z         >>>
2025-12-04T10:00:47.6694204Z         >>> # Sequential approach
2025-12-04T10:00:47.6694917Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T10:00:47.6695666Z         >>>                  for v in I_N.unbind()]
2025-12-04T10:00:47.6696285Z         >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T10:00:47.6696832Z         >>>
2025-12-04T10:00:47.6697218Z         >>> # vectorized gradient computation
2025-12-04T10:00:47.6697791Z         >>> def get_vjp(v):
2025-12-04T10:00:47.6698292Z         >>>     return torch.autograd.grad(y, x, v)
2025-12-04T10:00:47.6698902Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T10:00:47.6699452Z     
2025-12-04T10:00:47.6700107Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T10:00:47.6700928Z     
2025-12-04T10:00:47.6701287Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T10:00:47.6702026Z         >>> batched_dot = torch.vmap(
2025-12-04T10:00:47.6702573Z         ...     torch.vmap(torch.dot)
2025-12-04T10:00:47.6703124Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T10:00:47.6703756Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T10:00:47.6704415Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T10:00:47.6704956Z     
2025-12-04T10:00:47.6705643Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T10:00:47.6706539Z     the dimension that each inputs are batched along as
2025-12-04T10:00:47.6707130Z     
2025-12-04T10:00:47.6707483Z         >>> torch.dot  # [N], [N] -> []
2025-12-04T10:00:47.6708219Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T10:00:47.6709034Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T10:00:47.6709591Z         >>> batched_dot(
2025-12-04T10:00:47.6710025Z         ...     x, y
2025-12-04T10:00:47.6710621Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T10:00:47.6728337Z     
2025-12-04T10:00:47.6729146Z     If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T10:00:47.6730183Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T10:00:47.6730887Z     
2025-12-04T10:00:47.6731255Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T10:00:47.6732024Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T10:00:47.6732849Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T10:00:47.6733390Z         >>> batched_dot(
2025-12-04T10:00:47.6733812Z         ...     x, y
2025-12-04T10:00:47.6734385Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T10:00:47.6735067Z     
2025-12-04T10:00:47.6735683Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T10:00:47.6736526Z     matching the shape of the input:
2025-12-04T10:00:47.6737022Z     
2025-12-04T10:00:47.6737421Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T10:00:47.6738058Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T10:00:47.6738617Z         >>> input = {"x": x, "y": y}
2025-12-04T10:00:47.6739461Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T10:00:47.6740147Z         >>> batched_dot(input)
2025-12-04T10:00:47.6740587Z     
2025-12-04T10:00:47.6741238Z     By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T10:00:47.6742122Z     along any dimension by using ``out_dims``
2025-12-04T10:00:47.6742654Z     
2025-12-04T10:00:47.6742984Z         >>> f = lambda x: x**2
2025-12-04T10:00:47.6743454Z         >>> x = torch.randn(2, 5)
2025-12-04T10:00:47.6743996Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T10:00:47.6744563Z         >>> batched_pow(x)  # [5, 2]
2025-12-04T10:00:47.6745153Z     
2025-12-04T10:00:47.6745840Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T10:00:47.6746716Z     accept kwargs
2025-12-04T10:00:47.6747082Z     
2025-12-04T10:00:47.6747428Z         >>> x = torch.randn([2, 5])
2025-12-04T10:00:47.6747930Z         >>> def fn(x, scale=4.):
2025-12-04T10:00:47.6748400Z         >>>   return x * scale
2025-12-04T10:00:47.6748855Z         >>>
2025-12-04T10:00:47.6749231Z         >>> batched_pow = torch.vmap(fn)
2025-12-04T10:00:47.6749833Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T10:00:47.6750649Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T10:00:47.6751380Z     
2025-12-04T10:00:47.6751710Z     .. note::
2025-12-04T10:00:47.6752325Z         vmap does not provide general autobatching or handle variable-length
2025-12-04T10:00:47.6753087Z         sequences out of the box.
2025-12-04T10:00:47.6753591Z     
2025-12-04T10:00:47.6754859Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T10:00:47.6756156Z     
2025-12-04T10:00:47.6756494Z     _._ = None
2025-12-04T10:00:47.6756848Z     ^
2025-12-04T10:00:47.6757215Z       warnings.warn(msg)
2025-12-04T10:00:47.6757647Z     
2025-12-04T10:00:47.6758260Z --- Parse Warning: 8 / 17 ---
2025-12-04T10:00:47.6760187Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T10:00:47.6762356Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6763428Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T10:00:47.6764389Z         input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T10:00:47.6765164Z         compute higher-order gradients.
2025-12-04T10:00:47.6765688Z     
2025-12-04T10:00:47.6766013Z         Args:
2025-12-04T10:00:47.6766605Z             func (Callable): A Python function that takes one or more arguments.
2025-12-04T10:00:47.6767647Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T10:00:47.6768805Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T10:00:47.6769641Z                 ``(output, aux)``.
2025-12-04T10:00:47.6770477Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T10:00:47.6771556Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T10:00:47.6772489Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T10:00:47.6773368Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T10:00:47.6774012Z     
2025-12-04T10:00:47.6774334Z         Returns:
2025-12-04T10:00:47.6775067Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T10:00:47.6776206Z             the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T10:00:47.6777442Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T10:00:47.6778557Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T10:00:47.6779460Z             respect to each ``argnums`` value is returned.
2025-12-04T10:00:47.6780047Z     
2025-12-04T10:00:47.6780393Z         Example of using ``grad``:
2025-12-04T10:00:47.6780878Z     
2025-12-04T10:00:47.6781234Z             >>> # xdoctest: +SKIP
2025-12-04T10:00:47.6781750Z             >>> from torch.func import grad
2025-12-04T10:00:47.6782287Z             >>> x = torch.randn([])
2025-12-04T10:00:47.6782851Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T10:00:47.6783488Z             >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T10:00:47.6784025Z             >>>
2025-12-04T10:00:47.6784431Z             >>> # Second-order gradients
2025-12-04T10:00:47.6785039Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T10:00:47.6785804Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T10:00:47.6786380Z     
2025-12-04T10:00:47.6786998Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T10:00:47.6787772Z     
2025-12-04T10:00:47.6788123Z             >>> # xdoctest: +SKIP
2025-12-04T10:00:47.6788654Z             >>> from torch.func import grad, vmap
2025-12-04T10:00:47.6789248Z             >>> batch_size, feature_size = 3, 5
2025-12-04T10:00:47.6789733Z             >>>
2025-12-04T10:00:47.6790125Z             >>> def model(weights, feature_vec):
2025-12-04T10:00:47.6790705Z             >>> # Very simple linear model with activation
2025-12-04T10:00:47.6791417Z             >>>     assert feature_vec.dim() == 1
2025-12-04T10:00:47.6792011Z             >>>     return feature_vec.dot(weights).relu()
2025-12-04T10:00:47.6792555Z             >>>
2025-12-04T10:00:47.6792982Z             >>> def compute_loss(weights, example, target):
2025-12-04T10:00:47.6793915Z             >>>     y = model(weights, example)
2025-12-04T10:00:47.6794416Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T10:00:47.6794758Z             >>>
2025-12-04T10:00:47.6795080Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T10:00:47.6795548Z             >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T10:00:47.6795948Z             >>> targets = torch.randn(batch_size)
2025-12-04T10:00:47.6796311Z             >>> inputs = (weights, examples, targets)
2025-12-04T10:00:47.6796803Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T10:00:47.6797277Z             ...     *inputs
2025-12-04T10:00:47.6797531Z             ... )
2025-12-04T10:00:47.6797750Z     
2025-12-04T10:00:47.6798058Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T10:00:47.6798435Z     
2025-12-04T10:00:47.6798653Z             >>> # xdoctest: +SKIP
2025-12-04T10:00:47.6798969Z             >>> from torch.func import grad
2025-12-04T10:00:47.6799313Z             >>> def my_loss_func(y, y_pred):
2025-12-04T10:00:47.6799674Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T10:00:47.6800062Z             >>>    loss = loss_per_sample.mean()
2025-12-04T10:00:47.6800437Z             >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T10:00:47.6800770Z             >>>
2025-12-04T10:00:47.6801071Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T10:00:47.6801465Z             >>> y_true = torch.rand(4)
2025-12-04T10:00:47.6801817Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T10:00:47.6802200Z             >>> out = fn(y_true, y_preds)
2025-12-04T10:00:47.6802688Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T10:00:47.6803158Z     
2025-12-04T10:00:47.6803366Z         .. note::
2025-12-04T10:00:47.6803696Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T10:00:47.6804240Z     
2025-12-04T10:00:47.6804507Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T10:00:47.6804878Z     
2025-12-04T10:00:47.6805106Z                 >>> # xdoctest: +SKIP
2025-12-04T10:00:47.6805412Z                 >>> def f(x):
2025-12-04T10:00:47.6805721Z                 >>>     with torch.no_grad():
2025-12-04T10:00:47.6806060Z                 >>>         c = x ** 2
2025-12-04T10:00:47.6806369Z                 >>>     return x - c
2025-12-04T10:00:47.6806665Z     
2025-12-04T10:00:47.6806995Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T10:00:47.6807411Z     
2025-12-04T10:00:47.6807724Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T10:00:47.6808129Z     
2025-12-04T10:00:47.6808354Z                 >>> # xdoctest: +SKIP
2025-12-04T10:00:47.6808667Z                 >>> with torch.no_grad():
2025-12-04T10:00:47.6808993Z                 >>>     grad(f)(x)
2025-12-04T10:00:47.6809285Z     
2025-12-04T10:00:47.6809625Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T10:00:47.6810226Z             outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T10:00:47.6810826Z             should not depend on the result of a context manager outside of ``f``.
2025-12-04T10:00:47.6811265Z     
2025-12-04T10:00:47.6811471Z         
2025-12-04T10:00:47.6812160Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T10:00:47.6813081Z     
2025-12-04T10:00:47.6813277Z     _._ = None
2025-12-04T10:00:47.6813509Z     ^
2025-12-04T10:00:47.6813737Z       warnings.warn(msg)
2025-12-04T10:00:47.6813993Z     
2025-12-04T10:00:47.6814388Z --- Parse Warning: 9 / 17 ---
2025-12-04T10:00:47.6815690Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402.
2025-12-04T10:00:47.6817104Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6817693Z     Register a FakeTensor implementation for this custom op.
2025-12-04T10:00:47.6818092Z     
2025-12-04T10:00:47.6818477Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T10:00:47.6818942Z     
2025-12-04T10:00:47.6819298Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T10:00:47.6819904Z             specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T10:00:47.6820425Z             Given some input Tensors with certain properties
2025-12-04T10:00:47.6820981Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T10:00:47.6821491Z             the output Tensors are.
2025-12-04T10:00:47.6821784Z     
2025-12-04T10:00:47.6822119Z             Please see :func:`torch.library.register_fake` for more details.
2025-12-04T10:00:47.6822543Z     
2025-12-04T10:00:47.6822751Z             Args:
2025-12-04T10:00:47.6823072Z                 fn (Callable): The function to register as the FakeTensor
2025-12-04T10:00:47.6823487Z                     implementation.
2025-12-04T10:00:47.6823784Z     
2025-12-04T10:00:47.6823981Z             Examples:
2025-12-04T10:00:47.6824246Z                 >>> import torch
2025-12-04T10:00:47.6824553Z                 >>> import numpy as np
2025-12-04T10:00:47.6824897Z                 >>> from torch import Tensor
2025-12-04T10:00:47.6825300Z                 >>>
2025-12-04T10:00:47.6825652Z                 >>> # Example 1: an operator without data-dependent output shape
2025-12-04T10:00:47.6826193Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T10:00:47.6826806Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T10:00:47.6827258Z                 >>>     return (x @ weight.t()) + bias
2025-12-04T10:00:47.6827593Z                 >>>
2025-12-04T10:00:47.6827858Z                 >>> @linear.register_fake
2025-12-04T10:00:47.6828193Z                 >>> def _(x, weight, bias):
2025-12-04T10:00:47.6828538Z                 >>>     assert x.dim() == 2
2025-12-04T10:00:47.6828886Z                 >>>     assert weight.dim() == 2
2025-12-04T10:00:47.6829231Z                 >>>     assert bias.dim() == 1
2025-12-04T10:00:47.6829604Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T10:00:47.6830006Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T10:00:47.6830389Z                 >>>     assert x.device == weight.device
2025-12-04T10:00:47.6830795Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T10:00:47.6831163Z                 >>>
2025-12-04T10:00:47.6831422Z                 >>> x = torch.randn(2, 2)
2025-12-04T10:00:47.6831759Z                 >>> weight = torch.randn(2, 2)
2025-12-04T10:00:47.6832103Z                 >>> bias = torch.randn(2)
2025-12-04T10:00:47.6832468Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:47.6832931Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T10:00:47.6833407Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:47.6833936Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T10:00:47.6834413Z                 >>>
2025-12-04T10:00:47.6834820Z                 >>> # Example 2: an operator with data-dependent output shape
2025-12-04T10:00:47.6835347Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T10:00:47.6835808Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T10:00:47.6836164Z                 >>>     x_np = x.cpu().numpy()
2025-12-04T10:00:47.6836546Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T10:00:47.6836958Z                 >>>     return torch.tensor(res, device=x.device)
2025-12-04T10:00:47.6837304Z                 >>>
2025-12-04T10:00:47.6837572Z                 >>> @nonzero.register_fake
2025-12-04T10:00:47.6837903Z                 >>> def _(x):
2025-12-04T10:00:47.6838254Z                 >>> # Number of nonzero-elements is data-dependent.
2025-12-04T10:00:47.6838705Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T10:00:47.6839176Z                 >>> # we use the ctx object to construct a new symint that
2025-12-04T10:00:47.6839616Z                 >>> # represents the data-dependent size.
2025-12-04T10:00:47.6839990Z                 >>>     ctx = torch.library.get_ctx()
2025-12-04T10:00:47.6840359Z                 >>>     nnz = ctx.new_dynamic_size()
2025-12-04T10:00:47.6840720Z                 >>>     shape = [nnz, x.dim()]
2025-12-04T10:00:47.6841113Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T10:00:47.6841488Z                 >>>     return result
2025-12-04T10:00:47.6841787Z                 >>>
2025-12-04T10:00:47.6842058Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T10:00:47.6842437Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:47.6842865Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T10:00:47.6843292Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T10:00:47.6843689Z                 >>> assert torch.allclose(out, x.nonzero())
2025-12-04T10:00:47.6844037Z     
2025-12-04T10:00:47.6844241Z             
2025-12-04T10:00:47.6844923Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T10:00:47.6845688Z     
2025-12-04T10:00:47.6845892Z     _._ = None
2025-12-04T10:00:47.6846117Z     ^
2025-12-04T10:00:47.6846385Z       warnings.warn(msg)
2025-12-04T10:00:47.6846647Z     
2025-12-04T10:00:47.6846995Z --- Parse Warning: 10 / 17 ---
2025-12-04T10:00:47.6848273Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94.
2025-12-04T10:00:47.6849711Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T10:00:47.6850208Z     
2025-12-04T10:00:47.6850570Z     Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T10:00:47.6851195Z     kernel registration will override any existing fake kernel registrations.
2025-12-04T10:00:47.6851674Z     
2025-12-04T10:00:47.6852020Z     The input is a dictionary mapping operator names to a set of operator
2025-12-04T10:00:47.6852615Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T10:00:47.6853203Z     are a record of the input and output tensor metadata. Based on this
2025-12-04T10:00:47.6853797Z     information we will match a given input to the recorded profile, and return
2025-12-04T10:00:47.6854417Z     an output with the same metadata as in the recorded profile. If a profile
2025-12-04T10:00:47.6854915Z     doesn't exist then an exception will be thrown.
2025-12-04T10:00:47.6855267Z     
2025-12-04T10:00:47.6855629Z     The fake kernel generation is considered unsafe because it relies on the
2025-12-04T10:00:47.6856227Z     rigid, pre-defined operator profiles that do not account for potential
2025-12-04T10:00:47.6856922Z     variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T10:00:47.6857585Z     fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T10:00:47.6858219Z     possible that data-dependent operations may produce outputs of different
2025-12-04T10:00:47.6858839Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T10:00:47.6859437Z     are inflexible and unable to accommodate these nuances, making them
2025-12-04T10:00:47.6859897Z     potentially unsafe.
2025-12-04T10:00:47.6860143Z     
2025-12-04T10:00:47.6860352Z     Args:
2025-12-04T10:00:47.6860711Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T10:00:47.6861267Z             name to a set of operator profiles from which we will generate fake
2025-12-04T10:00:47.6861695Z             kernels.
2025-12-04T10:00:47.6861932Z     
2025-12-04T10:00:47.6862125Z     Examples:
2025-12-04T10:00:47.6862348Z     
2025-12-04T10:00:47.6862646Z         >>> # Example: Registering an op-profile from draft-export
2025-12-04T10:00:47.6863030Z         >>> import torch
2025-12-04T10:00:47.6863372Z         >>> from torch.export._draft_export import draft_export
2025-12-04T10:00:47.6863751Z         >>>
2025-12-04T10:00:47.6864068Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T10:00:47.6864506Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T10:00:47.6864857Z         >>>     return x + y
2025-12-04T10:00:47.6865216Z         >>>
2025-12-04T10:00:47.6865449Z         >>> class M(torch.nn.Module):
2025-12-04T10:00:47.6865783Z         >>>     def forward(self, a, b):
2025-12-04T10:00:47.6866165Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T10:00:47.6866532Z         >>>         return res
2025-12-04T10:00:47.6866810Z         >>>
2025-12-04T10:00:47.6867120Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T10:00:47.6867505Z         >>>
2025-12-04T10:00:47.6867954Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T10:00:47.6868534Z         >>>     decomp = ep.run_decompositions()
2025-12-04T10:00:47.6868869Z     
2025-12-04T10:00:47.6869059Z     
2025-12-04T10:00:47.6869755Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T10:00:47.6870476Z     
2025-12-04T10:00:47.6870686Z       warnings.warn(msg)
2025-12-04T10:00:47.6870952Z     
2025-12-04T10:00:47.6871286Z --- Parse Warning: 11 / 17 ---
2025-12-04T10:00:47.6872979Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-12-04T10:00:47.6874614Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6875094Z     
2025-12-04T10:00:47.6875497Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T10:00:47.6876133Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T10:00:47.6876766Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T10:00:47.6877251Z     input by the user.
2025-12-04T10:00:47.6877658Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T10:00:47.6878175Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T10:00:47.6878547Z     
2025-12-04T10:00:47.6878756Z     Note::
2025-12-04T10:00:47.6879206Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T10:00:47.6879751Z     
2025-12-04T10:00:47.6879952Z     Args:
2025-12-04T10:00:47.6880169Z         model (nn.Module):
2025-12-04T10:00:47.6880651Z             The model whose layers will be sparsified. The layers that needs to be
2025-12-04T10:00:47.6881272Z             sparsified should be added separately using the register_layer() function
2025-12-04T10:00:47.6881781Z         aggregate_fn (Optional, Callable):
2025-12-04T10:00:47.6882286Z             default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T10:00:47.6882867Z             specifies how inputs should be aggregated over time.
2025-12-04T10:00:47.6883463Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T10:00:47.6883970Z             Example
2025-12-04T10:00:47.6884302Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T10:00:47.6884736Z                 reduce_fn (Optional, Callable):
2025-12-04T10:00:47.6885230Z                     default reduce_fn that is used if not specified while registering the layer.
2025-12-04T10:00:47.6885887Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T10:00:47.6886412Z                     calling agg_fn() on all inputs.
2025-12-04T10:00:47.6886754Z                     Example
2025-12-04T10:00:47.6887132Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T10:00:47.6887597Z                 mask_fn (Optional, Callable):
2025-12-04T10:00:47.6888173Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T10:00:47.6888900Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T10:00:47.6889398Z                     register_layer().
2025-12-04T10:00:47.6889981Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T10:00:47.6890574Z                     arguments.
2025-12-04T10:00:47.6890871Z                 features (Optional, list):
2025-12-04T10:00:47.6891248Z                     default selected features to sparsify.
2025-12-04T10:00:47.6891787Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T10:00:47.6892284Z                     For example,
2025-12-04T10:00:47.6892801Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T10:00:47.6893314Z                 feature_dim (Optional, int):
2025-12-04T10:00:47.6894154Z                     default dimension of input features. Again, features along this dim will be chosen
2025-12-04T10:00:47.6894684Z                     for sparsification.
2025-12-04T10:00:47.6895019Z                 sparse_config (Dict):
2025-12-04T10:00:47.6895472Z                     Default configuration for the mask_fn. This config will be passed
2025-12-04T10:00:47.6895933Z                     with the mask_fn()
2025-12-04T10:00:47.6896240Z     
2025-12-04T10:00:47.6896446Z     Example:
2025-12-04T10:00:47.6896676Z         >>> # xdoctest: +SKIP
2025-12-04T10:00:47.6896971Z         >>> model = SomeModel()
2025-12-04T10:00:47.6897425Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T10:00:47.6897921Z         >>> # Initialize aggregate_fn
2025-12-04T10:00:47.6898232Z         >>> def agg_fn(x, y):
2025-12-04T10:00:47.6898524Z         >>>     return x + y
2025-12-04T10:00:47.6898793Z         >>>
2025-12-04T10:00:47.6899014Z         >>> # Initialize reduce_fn
2025-12-04T10:00:47.6899327Z         >>> def reduce_fn(x):
2025-12-04T10:00:47.6899633Z         >>>     return torch.mean(x, dim=0)
2025-12-04T10:00:47.6899935Z         >>>
2025-12-04T10:00:47.6900163Z         >>> # Initialize mask_fn
2025-12-04T10:00:47.6900463Z         >>> def mask_fn(data):
2025-12-04T10:00:47.6900792Z         >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T10:00:47.6901157Z         >>>
2025-12-04T10:00:47.6901369Z         >>>
2025-12-04T10:00:47.6901604Z         >>> act_sparsifier.register_layer(
2025-12-04T10:00:47.6902066Z         ...     model.some_layer,
2025-12-04T10:00:47.6902380Z         ...     aggregate_fn=agg_fn,
2025-12-04T10:00:47.6902698Z         ...     reduce_fn=reduce_fn,
2025-12-04T10:00:47.6902996Z         ...     mask_fn=mask_fn,
2025-12-04T10:00:47.6903274Z         ... )
2025-12-04T10:00:47.6903490Z         >>>
2025-12-04T10:00:47.6903715Z         >>> # start training process
2025-12-04T10:00:47.6904027Z         >>> for _ in [...]:
2025-12-04T10:00:47.6904304Z         >>> # epoch starts
2025-12-04T10:00:47.6904649Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T10:00:47.6905127Z         >>> # epoch ends
2025-12-04T10:00:47.6905426Z         >>>     act_sparsifier.step()
2025-12-04T10:00:47.6905750Z         >>> # end training process
2025-12-04T10:00:47.6906083Z         >>> sparsifier.squash_mask()
2025-12-04T10:00:47.6906397Z     
2025-12-04T10:00:47.6907045Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T10:00:47.6907800Z     
2025-12-04T10:00:47.6908013Z     _._ = None
2025-12-04T10:00:47.6908245Z     ^
2025-12-04T10:00:47.6908462Z       warnings.warn(msg)
2025-12-04T10:00:47.6908737Z     
2025-12-04T10:00:47.6909093Z --- Parse Warning: 12 / 17 ---
2025-12-04T10:00:47.6910362Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547.
2025-12-04T10:00:47.6911759Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6912242Z     
2025-12-04T10:00:47.6912651Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T10:00:47.6913344Z     The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T10:00:47.6913858Z     ``mesh_dim_names``
2025-12-04T10:00:47.6914119Z     
2025-12-04T10:00:47.6914315Z     Args:
2025-12-04T10:00:47.6914698Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T10:00:47.6915276Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T10:00:47.6915674Z     Returns:
2025-12-04T10:00:47.6916047Z         A :class:`DeviceMesh` object
2025-12-04T10:00:47.6916354Z     
2025-12-04T10:00:47.6916763Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T10:00:47.6917309Z     In the first example:
2025-12-04T10:00:47.6917762Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T10:00:47.6918418Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T10:00:47.6919036Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T10:00:47.6919647Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T10:00:47.6920260Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T10:00:47.6920861Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T10:00:47.6921300Z     
2025-12-04T10:00:47.6921530Z     In the second example:
2025-12-04T10:00:47.6922002Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T10:00:47.6922682Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T10:00:47.6923369Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T10:00:47.6924055Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T10:00:47.6924610Z     
2025-12-04T10:00:47.6924815Z     Example::
2025-12-04T10:00:47.6925040Z     
2025-12-04T10:00:47.6925273Z         >>> # xdoctest: +SKIP("no rank")
2025-12-04T10:00:47.6925675Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T10:00:47.6926068Z         >>>
2025-12-04T10:00:47.6926415Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T10:00:47.6926894Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T10:00:47.6927442Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T10:00:47.6927950Z         >>> tp_mesh = mesh_2d["tp"]
2025-12-04T10:00:47.6928261Z         >>> dp_mesh = mesh_2d["dp"]
2025-12-04T10:00:47.6928562Z         >>>
2025-12-04T10:00:47.6928800Z         >>> # Initialize a 3D mesh.
2025-12-04T10:00:47.6929306Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T10:00:47.6930039Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T10:00:47.6930613Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T10:00:47.6930970Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T10:00:47.6931277Z     
2025-12-04T10:00:47.6932119Z     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))
2025-12-04T10:00:47.6933040Z     
2025-12-04T10:00:47.6933420Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T10:00:47.6933929Z                                                                                      ^
2025-12-04T10:00:47.6934292Z       warnings.warn(msg)
2025-12-04T10:00:47.6934555Z     
2025-12-04T10:00:47.6934873Z --- Parse Warning: 13 / 17 ---
2025-12-04T10:00:47.6936154Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-12-04T10:00:47.6937577Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6938054Z     
2025-12-04T10:00:47.6938527Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T10:00:47.6939048Z     
2025-12-04T10:00:47.6939486Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T10:00:47.6940001Z     
2025-12-04T10:00:47.6940418Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T10:00:47.6940970Z     will be visible to the whole process.
2025-12-04T10:00:47.6941283Z     
2025-12-04T10:00:47.6941702Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T10:00:47.6942212Z     
2025-12-04T10:00:47.6942460Z     1) set_up_planner - called on all ranks.
2025-12-04T10:00:47.6942828Z         Signals the start of a checkpoint save.
2025-12-04T10:00:47.6943166Z     
2025-12-04T10:00:47.6943418Z     2) create_local_plan - called on all ranks.
2025-12-04T10:00:47.6943967Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T10:00:47.6944488Z     
2025-12-04T10:00:47.6944806Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T10:00:47.6945415Z         Takes the SavePlan from all ranks and make any global decision.
2025-12-04T10:00:47.6945841Z     
2025-12-04T10:00:47.6946088Z     4) finish_plan - called on all ranks.
2025-12-04T10:00:47.6946541Z         This gives each rank a chance to adjust to global planning decisions.
2025-12-04T10:00:47.6946988Z     
2025-12-04T10:00:47.6947275Z     5) resolve_data - called multiple times on each rank
2025-12-04T10:00:47.6947772Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T10:00:47.6948258Z     
2025-12-04T10:00:47.6948703Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T10:00:47.6949353Z     most changes can be expressed by changes in a single method.
2025-12-04T10:00:47.6949749Z     
2025-12-04T10:00:47.6950003Z     There are 3 usual patterns of extension:
2025-12-04T10:00:47.6950339Z     
2025-12-04T10:00:47.6950721Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T10:00:47.6951370Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T10:00:47.6951829Z     
2025-12-04T10:00:47.6952076Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:47.6952448Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T10:00:47.6952821Z     >>>     def set_up_planner(
2025-12-04T10:00:47.6953118Z     >>>         self,
2025-12-04T10:00:47.6953389Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T10:00:47.6953770Z     >>>         storage_meta: Optional[StorageMeta],
2025-12-04T10:00:47.6954143Z     >>>         is_coordinator: bool,
2025-12-04T10:00:47.6954450Z     >>>     ) -> None:
2025-12-04T10:00:47.6954736Z     >>> # prefix all keys with `foo_``
2025-12-04T10:00:47.6955278Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T10:00:47.6955791Z     
2025-12-04T10:00:47.6956270Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T10:00:47.6956839Z     
2025-12-04T10:00:47.6957084Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:47.6957449Z     >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T10:00:47.6957818Z     >>>     def create_local_plan(self):
2025-12-04T10:00:47.6958177Z     >>>         plan = super().create_local_plan()
2025-12-04T10:00:47.6958517Z     >>>         for p in plan:
2025-12-04T10:00:47.6958833Z     >>>             if p.tensor_data is not None:
2025-12-04T10:00:47.6959250Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T10:00:47.6959629Z     >>>         return plan
2025-12-04T10:00:47.6959899Z     >>>
2025-12-04T10:00:47.6960148Z     >>>     def resolve_data(self, write_item):
2025-12-04T10:00:47.6960514Z     >>>         item = super().resolve_data(write_item)
2025-12-04T10:00:47.6961121Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T10:00:47.6961626Z     
2025-12-04T10:00:47.6962111Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T10:00:47.6962679Z     
2025-12-04T10:00:47.6962918Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:47.6963281Z     >>> from itertools import zip_longest
2025-12-04T10:00:47.6963625Z     >>> from dataclasses import replace
2025-12-04T10:00:47.6964044Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T10:00:47.6964645Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T10:00:47.6965208Z     >>> # This sample doesn't handle ShardedTensors
2025-12-04T10:00:47.6965598Z     >>>     def create_global_plan(self, all_plans):
2025-12-04T10:00:47.6966015Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T10:00:47.6966411Z     >>>         items_per_rank = [
2025-12-04T10:00:47.6966750Z     >>>             [item for item in items if item is not None]
2025-12-04T10:00:47.6967184Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T10:00:47.6967568Z     >>>         ]
2025-12-04T10:00:47.6967804Z     >>>         all_plans = [
2025-12-04T10:00:47.6968115Z     >>>             replace(plan, items=items)
2025-12-04T10:00:47.6968557Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T10:00:47.6968977Z     >>>         ]
2025-12-04T10:00:47.6969263Z     >>>         return super().create_global_plan(all_plans)
2025-12-04T10:00:47.6969684Z     
2025-12-04T10:00:47.6970086Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T10:00:47.6970778Z     accomplished by having each rank contribute their data items in the local plan and
2025-12-04T10:00:47.6971318Z     the global planner aggregate them:
2025-12-04T10:00:47.6971641Z     
2025-12-04T10:00:47.6971876Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:47.6972283Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T10:00:47.6972707Z     >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T10:00:47.6973080Z     >>>         plan = super().create_local_plan()
2025-12-04T10:00:47.6973505Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T10:00:47.6973887Z     >>>
2025-12-04T10:00:47.6974330Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T10:00:47.6974969Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T10:00:47.6975479Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T10:00:47.6975952Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T10:00:47.6976366Z     >>>         return global_plan, metadata
2025-12-04T10:00:47.6976686Z     
2025-12-04T10:00:47.6977364Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T10:00:47.6978137Z     
2025-12-04T10:00:47.6978332Z     _._ = None
2025-12-04T10:00:47.6978557Z     ^
2025-12-04T10:00:47.6978779Z       warnings.warn(msg)
2025-12-04T10:00:47.6979032Z     
2025-12-04T10:00:47.6979372Z --- Parse Warning: 14 / 17 ---
2025-12-04T10:00:47.6980653Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-12-04T10:00:47.6982061Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.6982538Z     
2025-12-04T10:00:47.6982959Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T10:00:47.6983486Z     
2025-12-04T10:00:47.6983963Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T10:00:47.6984492Z     
2025-12-04T10:00:47.6984908Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T10:00:47.6985527Z     will be visible to the whole process.
2025-12-04T10:00:47.6985858Z     
2025-12-04T10:00:47.6986274Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T10:00:47.6986779Z     
2025-12-04T10:00:47.6987029Z     1) set_up_planner - called on all ranks.
2025-12-04T10:00:47.6987415Z         Signals the start of loading a checkpoint.
2025-12-04T10:00:47.6987751Z     
2025-12-04T10:00:47.6988006Z     2) create_local_plan - called on all ranks.
2025-12-04T10:00:47.6988563Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T10:00:47.6989082Z     
2025-12-04T10:00:47.6989385Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T10:00:47.6989919Z         Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T10:00:47.6990344Z     
2025-12-04T10:00:47.6990614Z     4) load_bytes - called multiple times on each rank
2025-12-04T10:00:47.6991071Z         This is called once per non-tensor value in state_dict.
2025-12-04T10:00:47.6991156Z     
2025-12-04T10:00:47.6991407Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T10:00:47.6991598Z         They are called in pair for each Tensor value in state_dict.
2025-12-04T10:00:47.6991692Z     
2025-12-04T10:00:47.6992013Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T10:00:47.6992278Z     most changes can be expressed by changes in a single method.
2025-12-04T10:00:47.6992377Z     
2025-12-04T10:00:47.6992514Z     There are two usual patterns of extension:
2025-12-04T10:00:47.6992597Z     
2025-12-04T10:00:47.6992884Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T10:00:47.6993153Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T10:00:47.6993393Z     to keep a reference to the original state_dict as load happens in place so
2025-12-04T10:00:47.6993815Z     we need to be able to perform it in place
2025-12-04T10:00:47.6993901Z     
2025-12-04T10:00:47.6994036Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:47.6994178Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T10:00:47.6994282Z     >>>     def set_up_planner(
2025-12-04T10:00:47.6994386Z     >>>         self,
2025-12-04T10:00:47.6994510Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T10:00:47.6994616Z     >>>         metadata: Metadata,
2025-12-04T10:00:47.6994739Z     >>>         is_coordinator: bool,
2025-12-04T10:00:47.6994832Z     >>>     ) -> None:
2025-12-04T10:00:47.6994968Z     >>>         self.original_state_dict = state_dict
2025-12-04T10:00:47.6995166Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T10:00:47.6995253Z     >>>
2025-12-04T10:00:47.6995390Z     >>>         if self.flatten_sharded_tensors:
2025-12-04T10:00:47.6995550Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T10:00:47.6995636Z     >>>
2025-12-04T10:00:47.6995769Z     >>>         if self.flatten_state_dict:
2025-12-04T10:00:47.6995962Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T10:00:47.6996047Z     >>>
2025-12-04T10:00:47.6996175Z     >>>         self.state_dict = state_dict
2025-12-04T10:00:47.6996284Z     >>>         self.metadata = metadata
2025-12-04T10:00:47.6996419Z     >>>         self.is_coordinator = is_coordinator
2025-12-04T10:00:47.6996519Z     >>>
2025-12-04T10:00:47.6996647Z     >>>     def load_bytes(self, read_item, value):
2025-12-04T10:00:47.6996756Z     >>> # Remove the "foo_" prefix
2025-12-04T10:00:47.6997222Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T10:00:47.6997307Z     
2025-12-04T10:00:47.6997403Z     
2025-12-04T10:00:47.6997681Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T10:00:47.6997766Z     
2025-12-04T10:00:47.6997903Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T10:00:47.6998066Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T10:00:47.6998188Z     >>>     def resolve_tensor(self, read_item):
2025-12-04T10:00:47.6998381Z     >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T10:00:47.6998567Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T10:00:47.6998691Z     >>>
2025-12-04T10:00:47.6998905Z     >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T10:00:47.6999260Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T10:00:47.6999408Z     
2025-12-04T10:00:47.7000058Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T10:00:47.7000176Z     
2025-12-04T10:00:47.7000298Z     _._ = None
2025-12-04T10:00:47.7000442Z     ^
2025-12-04T10:00:47.7000613Z       warnings.warn(msg)
2025-12-04T10:00:47.7000840Z     
2025-12-04T10:00:47.7001103Z --- Parse Warning: 15 / 17 ---
2025-12-04T10:00:47.7002158Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295.
2025-12-04T10:00:47.7002596Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.7002692Z     
2025-12-04T10:00:47.7002988Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T10:00:47.7003291Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T10:00:47.7003522Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T10:00:47.7013887Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T10:00:47.7014173Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T10:00:47.7014264Z     follows:
2025-12-04T10:00:47.7014360Z     
2025-12-04T10:00:47.7014502Z         >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T10:00:47.7014757Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T10:00:47.7014906Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T10:00:47.7015125Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T10:00:47.7015378Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T10:00:47.7015495Z         >>>     state = fsdp.state_dict()
2025-12-04T10:00:47.7015719Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T10:00:47.7015987Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T10:00:47.7016232Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T10:00:47.7016340Z         >>> if dist.get_rank() == 0:
2025-12-04T10:00:47.7016545Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T10:00:47.7016693Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T10:00:47.7016831Z         >>>     model.load_state_dict(state_dict)
2025-12-04T10:00:47.7017077Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T10:00:47.7017331Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T10:00:47.7017442Z         >>> fsdp = FSDP(
2025-12-04T10:00:47.7017531Z         ...     model,
2025-12-04T10:00:47.7017668Z         ...     device_id=torch.cuda.current_device(),
2025-12-04T10:00:47.7017921Z         ...     auto_wrap_policy=...,
2025-12-04T10:00:47.7018032Z         ...     sync_module_states=True,
2025-12-04T10:00:47.7018117Z         ... )
2025-12-04T10:00:47.7018356Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T10:00:47.7018442Z     
2025-12-04T10:00:47.7018548Z     Attributes:
2025-12-04T10:00:47.7018757Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T10:00:47.7018971Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T10:00:47.7019148Z             ranks save the full state dict. (Default: ``False``)
2025-12-04T10:00:47.7019240Z     
2025-12-04T10:00:47.7019767Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T10:00:47.7019867Z     
2025-12-04T10:00:47.7019955Z     _._ = None
2025-12-04T10:00:47.7020039Z     ^
2025-12-04T10:00:47.7020154Z       warnings.warn(msg)
2025-12-04T10:00:47.7020241Z     
2025-12-04T10:00:47.7020507Z --- Parse Warning: 16 / 17 ---
2025-12-04T10:00:47.7021547Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437.
2025-12-04T10:00:47.7021811Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.7021991Z     Register a parametrization to a tensor in a module.
2025-12-04T10:00:47.7022074Z     
2025-12-04T10:00:47.7022368Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T10:00:47.7022744Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T10:00:47.7023021Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T10:00:47.7023341Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T10:00:47.7023424Z     
2025-12-04T10:00:47.7023754Z         The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T10:00:47.7024024Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T10:00:47.7024107Z     
2025-12-04T10:00:47.7024371Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T10:00:47.7024517Z         ``module.parametrizations.weight``.
2025-12-04T10:00:47.7024604Z     
2025-12-04T10:00:47.7024758Z         The original tensor will be accessible under
2025-12-04T10:00:47.7024919Z         ``module.parametrizations.weight.original``.
2025-12-04T10:00:47.7025001Z     
2025-12-04T10:00:47.7025406Z         Parametrizations may be concatenated by registering several parametrizations
2025-12-04T10:00:47.7025514Z         on the same attribute.
2025-12-04T10:00:47.7025595Z     
2025-12-04T10:00:47.7025872Z         The training mode of a registered parametrization is updated on registration
2025-12-04T10:00:47.7026016Z         to match the training mode of the host module
2025-12-04T10:00:47.7026103Z     
2025-12-04T10:00:47.7026437Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T10:00:47.7026570Z         using the context manager :func:`cached`.
2025-12-04T10:00:47.7026665Z     
2025-12-04T10:00:47.7026920Z         A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T10:00:47.7027002Z     
2025-12-04T10:00:47.7027134Z         .. code-block:: python
2025-12-04T10:00:47.7027219Z     
2025-12-04T10:00:47.7027447Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T10:00:47.7027540Z     
2025-12-04T10:00:47.7027816Z         This method is called on the unparametrized tensor when the first parametrization
2025-12-04T10:00:47.7028090Z         is registered to compute the initial value of the original tensor.
2025-12-04T10:00:47.7028428Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T10:00:47.7028509Z     
2025-12-04T10:00:47.7028850Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T10:00:47.7029153Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T10:00:47.7029234Z     
2025-12-04T10:00:47.7029491Z         It is possible for the first parametrization to depend on several inputs.
2025-12-04T10:00:47.7029745Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T10:00:47.7029997Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T10:00:47.7030093Z     
2025-12-04T10:00:47.7030444Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T10:00:47.7030593Z         with names ``original0``, ``original1``,...
2025-12-04T10:00:47.7030676Z     
2025-12-04T10:00:47.7030766Z         .. note::
2025-12-04T10:00:47.7030860Z     
2025-12-04T10:00:47.7031141Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T10:00:47.7031295Z             once to perform a number of consistency checks.
2025-12-04T10:00:47.7031593Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T10:00:47.7031721Z             and nothing will be called otherwise.
2025-12-04T10:00:47.7031803Z     
2025-12-04T10:00:47.7031906Z         .. note::
2025-12-04T10:00:47.7032059Z     
2025-12-04T10:00:47.7032284Z             In most situations, ``right_inverse`` will be a function such that
2025-12-04T10:00:47.7032410Z             ``forward(right_inverse(X)) == X`` (see
2025-12-04T10:00:47.7032721Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T10:00:47.7032997Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T10:00:47.7033095Z             to relax this.
2025-12-04T10:00:47.7033177Z     
2025-12-04T10:00:47.7033281Z         .. warning::
2025-12-04T10:00:47.7033362Z     
2025-12-04T10:00:47.7033653Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T10:00:47.7033938Z             will register a number of new parameters. If such parametrization is registered
2025-12-04T10:00:47.7034222Z             after the optimizer is created, these new parameters will need to be added manually
2025-12-04T10:00:47.7034446Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T10:00:47.7034529Z     
2025-12-04T10:00:47.7034614Z         Args:
2025-12-04T10:00:47.7034847Z             module (nn.Module): module on which to register the parametrization
2025-12-04T10:00:47.7035070Z             tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T10:00:47.7035181Z                 the parametrization
2025-12-04T10:00:47.7035406Z             parametrization (nn.Module): the parametrization to register
2025-12-04T10:00:47.7035498Z         Keyword args:
2025-12-04T10:00:47.7035736Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T10:00:47.7035940Z                 may change the dtype and shape of the tensor. Default: `False`
2025-12-04T10:00:47.7036225Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T10:00:47.7036364Z                 Enable this flag at your own risk.
2025-12-04T10:00:47.7036451Z     
2025-12-04T10:00:47.7036538Z         Raises:
2025-12-04T10:00:47.7036853Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T10:00:47.7036935Z     
2025-12-04T10:00:47.7037024Z         Examples:
2025-12-04T10:00:47.7037242Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T10:00:47.7037342Z             >>> import torch
2025-12-04T10:00:47.7037462Z             >>> import torch.nn as nn
2025-12-04T10:00:47.7037604Z             >>> import torch.nn.utils.parametrize as P
2025-12-04T10:00:47.7037690Z             >>>
2025-12-04T10:00:47.7037819Z             >>> class Symmetric(nn.Module):
2025-12-04T10:00:47.7037927Z             >>>     def forward(self, X):
2025-12-04T10:00:47.7038113Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T10:00:47.7038210Z             >>>
2025-12-04T10:00:47.7038329Z             >>>     def right_inverse(self, A):
2025-12-04T10:00:47.7038436Z             >>>         return A.triu()
2025-12-04T10:00:47.7038532Z             >>>
2025-12-04T10:00:47.7038635Z             >>> m = nn.Linear(5, 5)
2025-12-04T10:00:47.7038819Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T10:00:47.7039073Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T10:00:47.7039159Z             True
2025-12-04T10:00:47.7039273Z             >>> A = torch.rand(5, 5)
2025-12-04T10:00:47.7039394Z             >>> A = A + A.T  # A is now symmetric
2025-12-04T10:00:47.7039602Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T10:00:47.7039745Z             >>> print(torch.allclose(m.weight, A))
2025-12-04T10:00:47.7039831Z             True
2025-12-04T10:00:47.7039913Z     
2025-12-04T10:00:47.7040034Z             >>> class RankOne(nn.Module):
2025-12-04T10:00:47.7040146Z             >>>     def forward(self, x, y):
2025-12-04T10:00:47.7040358Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T10:00:47.7040499Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T10:00:47.7040585Z             >>>
2025-12-04T10:00:47.7040716Z             >>>     def right_inverse(self, Z):
2025-12-04T10:00:47.7040845Z             >>> # Project Z onto the rank 1 matrices
2025-12-04T10:00:47.7041005Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T10:00:47.7041139Z             >>> # Return rescaled singular vectors
2025-12-04T10:00:47.7041266Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T10:00:47.7041418Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T10:00:47.7041515Z             >>>
2025-12-04T10:00:47.7041671Z             >>> linear_rank_one = P.register_parametrization(
2025-12-04T10:00:47.7041813Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T10:00:47.7041899Z             ... )
2025-12-04T10:00:47.7042115Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T10:00:47.7042214Z             1
2025-12-04T10:00:47.7042296Z     
2025-12-04T10:00:47.7042380Z         
2025-12-04T10:00:47.7042963Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T10:00:47.7043047Z     
2025-12-04T10:00:47.7043135Z     _._ = None
2025-12-04T10:00:47.7043232Z     ^
2025-12-04T10:00:47.7043332Z       warnings.warn(msg)
2025-12-04T10:00:47.7043426Z     
2025-12-04T10:00:47.7043646Z --- Parse Warning: 17 / 17 ---
2025-12-04T10:00:47.7044641Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586.
2025-12-04T10:00:47.7044916Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T10:00:47.7045110Z     Reduce learning rate when a metric has stopped improving.
2025-12-04T10:00:47.7045192Z     
2025-12-04T10:00:47.7045424Z         Models often benefit from reducing the learning rate by a factor
2025-12-04T10:00:47.7045615Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T10:00:47.7045888Z         quantity and if no improvement is seen for a 'patience' number
2025-12-04T10:00:47.7046017Z         of epochs, the learning rate is reduced.
2025-12-04T10:00:47.7046099Z     
2025-12-04T10:00:47.7046199Z         Args:
2025-12-04T10:00:47.7046341Z             optimizer (Optimizer): Wrapped optimizer.
2025-12-04T10:00:47.7046502Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T10:00:47.7046679Z                 be reduced when the quantity monitored has stopped
2025-12-04T10:00:47.7046849Z                 decreasing; in `max` mode it will be reduced when the
2025-12-04T10:00:47.7047052Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T10:00:47.7047246Z             factor (float): Factor by which the learning rate will be
2025-12-04T10:00:47.7047390Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T10:00:47.7047630Z             patience (int): The number of allowed epochs with no improvement after
2025-12-04T10:00:47.7047768Z                 which the learning rate will be reduced.
2025-12-04T10:00:47.7048009Z                 For example, consider the case of having no patience (`patience = 0`).
2025-12-04T10:00:47.7048406Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T10:00:47.7048624Z                 In the second epoch, if the performance is worse than the baseline,
2025-12-04T10:00:47.7048796Z                 we have what is considered an intolerable epoch.
2025-12-04T10:00:47.7049076Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T10:00:47.7049305Z                 the learning rate is reduced at the end of this epoch.
2025-12-04T10:00:47.7049654Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T10:00:47.7049991Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T10:00:47.7050119Z                 the learning rate is not adjusted.
2025-12-04T10:00:47.7050230Z                 Default: 10.
2025-12-04T10:00:47.7050432Z             threshold (float): Threshold for measuring the new optimum,
2025-12-04T10:00:47.7050609Z                 to only focus on significant changes. Default: 1e-4.
2025-12-04T10:00:47.7050791Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T10:00:47.7050959Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T10:00:47.7051119Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T10:00:47.7051289Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T10:00:47.7051475Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T10:00:47.7051665Z             cooldown (int): Number of epochs to wait before resuming
2025-12-04T10:00:47.7051854Z                 normal operation after lr has been reduced. Default: 0.
2025-12-04T10:00:47.7052037Z             min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T10:00:47.7052204Z                 lower bound on the learning rate of all param groups
2025-12-04T10:00:47.7052343Z                 or each group respectively. Default: 0.
2025-12-04T10:00:47.7052540Z             eps (float): Minimal decay applied to lr. If the difference
2025-12-04T10:00:47.7052729Z                 between new and old lr is smaller than eps, the update is
2025-12-04T10:00:47.7052838Z                 ignored. Default: 1e-8.
2025-12-04T10:00:47.7052932Z     
2025-12-04T10:00:47.7053024Z         Example:
2025-12-04T10:00:47.7053128Z             >>> # xdoctest: +SKIP
2025-12-04T10:00:47.7053379Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T10:00:47.7053542Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T10:00:47.7053663Z             >>> for epoch in range(10):
2025-12-04T10:00:47.7053809Z             >>>     train(...)
2025-12-04T10:00:47.7053926Z             >>>     val_loss = validate(...)
2025-12-04T10:00:47.7054096Z             >>> # Note that step should be called after validate()
2025-12-04T10:00:47.7054212Z             >>>     scheduler.step(val_loss)
2025-12-04T10:00:47.7054295Z     
2025-12-04T10:00:47.7054515Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T10:00:47.7054601Z         
2025-12-04T10:00:47.7055050Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T10:00:47.7055138Z     
2025-12-04T10:00:47.7055252Z         scheduler.step(val_loss)
2025-12-04T10:00:47.7055351Z        ^
2025-12-04T10:00:47.7055451Z       warnings.warn(msg)
2025-12-04T10:00:47.7055535Z     
2025-12-04T10:00:47.7055662Z 
2025-12-04T10:00:47.7055848Z === Found 10 run-time warnings ===
2025-12-04T10:00:47.7056033Z --- Runtime Warning: 1 / 10 ---
2025-12-04T10:00:47.7056255Z example = <DocTest(torch is_storage:0 ln 1157) at 0x7f7ccc7dfeb0>
2025-12-04T10:00:47.7057790Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0>:3: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
2025-12-04T10:00:47.7057890Z     
2025-12-04T10:00:47.7058079Z --- Runtime Warning: 2 / 10 ---
2025-12-04T10:00:47.7058412Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f7ccc6135b0>
2025-12-04T10:00:47.7059840Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1973.)
2025-12-04T10:00:47.7059961Z       return super().refine_names(names)
2025-12-04T10:00:47.7060056Z     
2025-12-04T10:00:47.7060243Z --- Runtime Warning: 3 / 10 ---
2025-12-04T10:00:47.7060569Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 239) at 0x7f7ccc696d10>
2025-12-04T10:00:47.7061245Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-12-04T10:00:47.7061575Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-12-04T10:00:47.7061803Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-12-04T10:00:47.7062114Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-12-04T10:00:47.7062216Z       dispatch key: CPU
2025-12-04T10:00:47.7062692Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-12-04T10:00:47.7063737Z            new kernel: registered at <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0>:1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.)
2025-12-04T10:00:47.7063916Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-12-04T10:00:47.7064002Z     
2025-12-04T10:00:47.7064192Z --- Runtime Warning: 4 / 10 ---
2025-12-04T10:00:47.7064452Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f7ccc4e6c80>
2025-12-04T10:00:47.7066571Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:178.)
2025-12-04T10:00:47.7066847Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-12-04T10:00:47.7066933Z     
2025-12-04T10:00:47.7067128Z --- Runtime Warning: 5 / 10 ---
2025-12-04T10:00:47.7067409Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f7ccc2bb310>
2025-12-04T10:00:47.7069138Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0>:1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:53.)
2025-12-04T10:00:47.7069237Z     
2025-12-04T10:00:47.7069426Z --- Runtime Warning: 6 / 10 ---
2025-12-04T10:00:47.7069759Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f7ccc6e1720>
2025-12-04T10:00:47.7071373Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:314: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2025-12-04T10:00:47.7071547Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-12-04T10:00:47.7071709Z     
2025-12-04T10:00:47.7071894Z --- Runtime Warning: 7 / 10 ---
2025-12-04T10:00:47.7072209Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f7ccc611ff0>
2025-12-04T10:00:47.7073363Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:00:47.7073488Z       self.encoder = TransformerEncoder(
2025-12-04T10:00:47.7073580Z     
2025-12-04T10:00:47.7073764Z --- Runtime Warning: 8 / 10 ---
2025-12-04T10:00:47.7074111Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f7ccc610640>
2025-12-04T10:00:47.7075398Z     <doctest:/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0>:2: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:00:47.7075487Z     
2025-12-04T10:00:47.7075684Z --- Runtime Warning: 9 / 10 ---
2025-12-04T10:00:47.7075974Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f7cc7b399c0>
2025-12-04T10:00:47.7076851Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-12-04T10:00:47.7076977Z       WeightNorm.apply(module, name, dim)
2025-12-04T10:00:47.7077058Z     
2025-12-04T10:00:47.7077264Z --- Runtime Warning: 10 / 10 ---
2025-12-04T10:00:47.7077586Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f7cc7b38850>
2025-12-04T10:00:47.7078437Z     /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-12-04T10:00:47.7078578Z       WeightNorm.apply(module, name, dim)
2025-12-04T10:00:47.7078663Z     
2025-12-04T10:00:47.7078982Z === 378 passed, 516 skipped, 27 warnings in 20.43 seconds ===
2025-12-04T10:00:47.7079280Z Finished doctests 1/1 ... [2025-12-04 10:00:47.638921][2932.829549008], took 0.34min
2025-12-04T10:00:47.7079536Z Running inductor/test_cpu_repro 1/5 ... [2025-12-04 10:00:47.642595][2932.833233108]
2025-12-04T10:00:47.7079663Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:47.7080565Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:00:47.642990]
2025-12-04T10:08:13.8408355Z 
2025-12-04T10:08:13.8411264Z inductor/test_cpu_repro 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.5_cd26f9dbf4460184_.log
2025-12-04T10:08:13.8510089Z Running 137 items in this shard: test/inductor/test_cpu_repro.py::CPUReproTests::test_bitwise_logical_op_bool, test/inductor/test_cpu_repro.py::CPUReproTests::test_bitwise_right_shift, test/inductor/test_cpu_repro.py::CPUReproTests::test_bool_max, test/inductor/test_cpu_repro.py::CPUReproTests::test_convert_fp32_to_int64_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_convert_int64_to_fp32_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_cpp_kernel_profile, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_quant_lowering_fp8_e5m2, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_relu_quant_dequant_relu_quant_lowering_int8, test/inductor/test_cpu_repro.py::CPUReproTests::test_do_not_insert_to_dtype_for_memory_copy_only_kernel, test/inductor/test_cpu_repro.py::CPUReproTests::test_dropout, test/inductor/test_cpu_repro.py::CPUReproTests::test_fp8_cast_bfloat16_shape_4,2048,4096, test/inductor/test_cpu_repro.py::CPUReproTests::test_fractional_max_pool2d_3d_input, test/inductor/test_cpu_repro.py::CPUReproTests::test_int64_pointwise_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_invalid_dropout_args, test/inductor/test_cpu_repro.py::CPUReproTests::test_large_mean, test/inductor/test_cpu_repro.py::CPUReproTests::test_load_half, test/inductor/test_cpu_repro.py::CPUReproTests::test_logical_op_store_to_lowp_data_dtype, test/inductor/test_cpu_repro.py::CPUReproTests::test_lowp_fp_neg_abs, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_change_input_sizes_cpu_unbatched_False_input_size_2_hidden_size_5_num_layers_3_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_2_seq_len_3, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_False_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_False_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_True_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_7, 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test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_memory_copy_with_fusion, test/inductor/test_cpu_repro.py::CPUReproTests::test_multihead_attention_cpu, test/inductor/test_cpu_repro.py::CPUReproTests::test_nn_fold, test/inductor/test_cpu_repro.py::CPUReproTests::test_outer_loop_fusion, test/inductor/test_cpu_repro.py::CPUReproTests::test_outer_loop_fusion_buffer_remove, test/inductor/test_cpu_repro.py::CPUReproTests::test_outer_mean_large_size, test/inductor/test_cpu_repro.py::CPUReproTests::test_per_channel_fake_quant_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_randint_symint_input, test/inductor/test_cpu_repro.py::CPUReproTests::test_reduce_with_masked, test/inductor/test_cpu_repro.py::CPUReproTests::test_reduction_with_dynamic_threads, test/inductor/test_cpu_repro.py::CPUReproTests::test_relu_permute_reshape_reinterpret_view, test/inductor/test_cpu_repro.py::CPUReproTests::test_repeat_interleave, test/inductor/test_cpu_repro.py::CPUReproTests::test_repeated_exp, test/inductor/test_cpu_repro.py::CPUReproTests::test_softmax_with_zero_dim, test/inductor/test_cpu_repro.py::CPUReproTests::test_store_reduction, test/inductor/test_cpu_repro.py::CPUReproTests::test_tanh_atan2_use_decompose_tanh, test/inductor/test_cpu_repro.py::CPUReproTests::test_torch_linalg_qr_tuple_slice, test/inductor/test_cpu_repro.py::CPUReproTests::test_transpose_non_contiguous, test/inductor/test_cpu_repro.py::CPUReproTests::test_transpose_sum2d_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_transpose_vertical_sum_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_two_local_buffers_in_outer_loop_fusion, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint32_pointwise_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint64_reduction_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_unrolled_bool_prod_vectorized, test/inductor/test_cpu_repro.py::CPUReproTests::test_vector_norm_compile
2025-12-04T10:08:13.8606845Z 
2025-12-04T10:08:13.8607168Z Finished inductor/test_cpu_repro 1/5 ... [2025-12-04 10:08:13.841191][3379.031822332], took 7.44min
2025-12-04T10:08:13.8608333Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-461978e0ce6e9feb.xml
2025-12-04T10:08:13.9355093Z Running inductor/test_cpu_repro 4/5 ... [2025-12-04 10:08:13.935224][3379.125859236]
2025-12-04T10:08:13.9355634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:13.9359473Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:08:13.935661]
2025-12-04T10:15:22.7944733Z 
2025-12-04T10:15:22.7946449Z inductor/test_cpu_repro 4/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_4.5_14fab0888a1706c7_.log
2025-12-04T10:15:22.8144803Z Running 137 items in this shard: test/inductor/test_cpu_repro.py::CPUReproTests::test__adaptive_avg_pool2d, test/inductor/test_cpu_repro.py::CPUReproTests::test_aten_normal_dtype, test/inductor/test_cpu_repro.py::CPUReproTests::test_atomic_add_lowp_fp, test/inductor/test_cpu_repro.py::CPUReproTests::test_avx2_bool_constant_pad_nd, test/inductor/test_cpu_repro.py::CPUReproTests::test_bf16_zeros, test/inductor/test_cpu_repro.py::CPUReproTests::test_bool_reduction_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_cat_mul, test/inductor/test_cpu_repro.py::CPUReproTests::test_conv2d_autocast, test/inductor/test_cpu_repro.py::CPUReproTests::test_conv_stride_constraints, test/inductor/test_cpu_repro.py::CPUReproTests::test_conv_used_from_multiple_places, test/inductor/test_cpu_repro.py::CPUReproTests::test_convert_int32_to_int64_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_convert_int64_to_int32_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_decomposed_dequant_relu_quant_int8, test/inductor/test_cpu_repro.py::CPUReproTests::test_decomposed_fake_quant_per_channel, test/inductor/test_cpu_repro.py::CPUReproTests::test_dequant_relu_quant_dequant_relu_quant_lowering_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_embedding_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_fp8_cast_float32_shape_4,2048,4096, test/inductor/test_cpu_repro.py::CPUReproTests::test_full_boolean_dynamic_shape, test/inductor/test_cpu_repro.py::CPUReproTests::test_group_norm_large_size, test/inductor/test_cpu_repro.py::CPUReproTests::test_inplace_squeeze_needed, test/inductor/test_cpu_repro.py::CPUReproTests::test_linear_used_from_multiple_places, test/inductor/test_cpu_repro.py::CPUReproTests::test_local_buffer_with_line_reuse, 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test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_False_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_False_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_False_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_False_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_1, 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test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_False_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_1_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_False_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_False_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_False_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_1_bidirectional_True_bias_True_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_False_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_False_empty_state_True_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_False_batch_first_False_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_False_bias_True_empty_state_True_batch_first_True_batch_size_7_seq_len_7, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_False_empty_state_True_batch_first_True_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_False_batch_first_True_batch_size_7_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_lstm_packed_unbatched_True_input_size_7_hidden_size_7_num_layers_7_bidirectional_True_bias_True_empty_state_True_batch_first_False_batch_size_1_seq_len_1, test/inductor/test_cpu_repro.py::CPUReproTests::test_masked_fill_softmax, test/inductor/test_cpu_repro.py::CPUReproTests::test_masked_load_int64_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_no_redundant_to_dtypes_between_fused_scheduler_node, test/inductor/test_cpu_repro.py::CPUReproTests::test_ops_masked_with_bool_input, test/inductor/test_cpu_repro.py::CPUReproTests::test_pack_padded_sequence_lstm, test/inductor/test_cpu_repro.py::CPUReproTests::test_parallel_num_threads, test/inductor/test_cpu_repro.py::CPUReproTests::test_per_channel_fake_quant_uint8_bf16_input, test/inductor/test_cpu_repro.py::CPUReproTests::test_per_tensor_fake_quant_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_reduction_float_to_int64, test/inductor/test_cpu_repro.py::CPUReproTests::test_relu_with_inf_value, test/inductor/test_cpu_repro.py::CPUReproTests::test_scalar_sign_with_min, test/inductor/test_cpu_repro.py::CPUReproTests::test_slice_scatter_default_end_value, test/inductor/test_cpu_repro.py::CPUReproTests::test_slice_scatter_issue122291, test/inductor/test_cpu_repro.py::CPUReproTests::test_tile2d_load_decomposed_dequant_add_relu_quant_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_tile2d_store_channel_shuffle_cl_quant_output_uint8, test/inductor/test_cpu_repro.py::CPUReproTests::test_transpose_sum_outer, test/inductor/test_cpu_repro.py::CPUReproTests::test_two_local_buffers_in_outer_loop_fusion_case2, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint64_pointwise_vec, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint8_add, test/inductor/test_cpu_repro.py::CPUReproTests::test_uint8_sub, test/inductor/test_cpu_repro.py::CPUReproTests::test_vec_compare_op_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_vec_contiguous_ModularIndexing, test/inductor/test_cpu_repro.py::CPUReproTests::test_vec_kernel_cpu_only, test/inductor/test_cpu_repro.py::CPUReproTests::test_vertical_sum_cpu_only
2025-12-04T10:15:22.8336289Z 
2025-12-04T10:15:22.8336794Z Finished inductor/test_cpu_repro 4/5 ... [2025-12-04 10:15:22.794636][3807.985269876], took 7.15min
2025-12-04T10:15:22.8338851Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-d7ef8ffbcdb144be.xml
2025-12-04T10:15:23.1625184Z Uploading artifacts took 0.27 seconds
2025-12-04T10:15:23.1629668Z Running inductor/test_snode_runtime 1/1 ... [2025-12-04 10:15:23.162709][3808.353345842]
2025-12-04T10:15:23.1630672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:23.1634506Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_snode_runtime.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:15:23.163067]
2025-12-04T10:15:31.0350270Z 
2025-12-04T10:15:31.0351260Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_2d4826854e1b5924_.log
2025-12-04T10:15:31.0352070Z 
2025-12-04T10:15:31.0352408Z Finished inductor/test_snode_runtime 1/1 ... [2025-12-04 10:15:31.034789][3816.22542427], took 0.13min
2025-12-04T10:15:31.0396364Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 10:15:31.039407][3816.23004458]
2025-12-04T10:15:31.0396921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:31.0399947Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_lowering.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:15:31.039765]
2025-12-04T10:15:42.3711694Z 
2025-12-04T10:15:42.3713202Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_0c95862d971eb990_.log
2025-12-04T10:15:42.3719460Z Running 6 items in this shard: test/inductor/test_custom_lowering.py::TestCustomLowering::test_constant_creation, test/inductor/test_custom_lowering.py::TestCustomLowering::test_jagged_to_padded_dense_sanity_cuda, test/inductor/test_custom_lowering.py::TestCustomLowering::test_jagged_to_padded_dense_zero_size, test/inductor/test_custom_lowering.py::TestCustomLowering::test_multi_inp_asm, test/inductor/test_custom_lowering.py::TestCustomLowering::test_register_lowering_custom_dict, test/inductor/test_custom_lowering.py::TestCustomLowering::test_tanh_approx
2025-12-04T10:15:42.3724484Z 
2025-12-04T10:15:42.3725053Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 10:15:42.371011][3827.561647107], took 0.19min
2025-12-04T10:15:42.3747448Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-a1e1d8eed98aaf8a.xml
2025-12-04T10:15:42.4706793Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 10:15:42.470237][3827.66087318]
2025-12-04T10:15:42.4707800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:42.4709840Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fused_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:15:42.470618]
2025-12-04T10:17:37.7127661Z 
2025-12-04T10:17:37.7129033Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_e094c3730a55b4dd_.log
2025-12-04T10:17:37.7153717Z Running 48 items in this shard: test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_pattern_fails_with_reuse_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_pattern_fails_with_tensor_factor_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_pattern_fails_with_unsupported_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_prev_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_prev_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_prev_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_11_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_12_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_16_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_16_fp32_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_17_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_18_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_19_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_1_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_20_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_21_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_22_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_23_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_24_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_2_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuTests::test_sdpa_rewriter_5_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_pattern_fails_with_reuse_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_pattern_fails_with_tensor_factor_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_pattern_fails_with_unsupported_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_prev_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_prev_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_prev_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_11_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_12_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_13_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_14_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_15_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_16_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_16_fp32_mask_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_17_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_18_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_19_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_1_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_20_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_21_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_22_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_23_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_24_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_2_cpu, test/inductor/test_fused_attention.py::SDPAPatternRewriterCpuDynamicTests::test_sdpa_rewriter_5_cpu
2025-12-04T10:17:37.7176604Z 
2025-12-04T10:17:37.7176955Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 10:17:37.712562][3942.903193643], took 1.92min
2025-12-04T10:17:37.7178224Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-52ca62ad19de2eaa.xml
2025-12-04T10:17:37.8052813Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:17:37.804999][3942.995634866]
2025-12-04T10:17:37.8053387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:37.8057218Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.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 10:17:37.805432]
2025-12-04T10:25:13.6273220Z 
2025-12-04T10:25:13.6274769Z inductor/test_mkldnn_pattern_matcher 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.2_ceb2656ce08fb7fd_.log
2025-12-04T10:25:13.6368893Z Running 143 items in this shard: test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_conv2d_binary_fusion_failed, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_dynamic_qlinear_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_dynamic_qlinear_qat_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_hardtanh_pattern_fallback, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_leaky_relu_pattern_fallback, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_linear_binary_broadcast_shapes, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_linear_relu_dynamic_fp16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_linear_unary, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qat_qconv2d_relu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qat_qconv2d_relu6, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qcat, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_3, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_relu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_relu_int8_mixed_bf16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_relu_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_relu_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_dequant_promotion_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardswish_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardtanh_int8_mixed_bf16_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardtanh_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardtanh_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_int8_mixed_bf16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu6_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu6_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_silu_int8_mixed_bf16_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_with_concat_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qflatten, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_True_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_True_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_fp8_inductor_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_True_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_True_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_True_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_True_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_xpu_use_relu_True_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_input_dim_exceeds_2_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_int8_mixed_bf16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_int8_mixed_bf16_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_int8_mixed_bf16_input_dim_exceeds_2_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_gelu_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_input_dim_exceeds_2_and_not_contiguous, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_input_dim_exceeds_2_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2_use_autocast, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_use_autocast, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_mul_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_mul_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_relu_input_dim_exceeds_2_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_relu_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_relu_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qmaxpool2d, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_reproduce_121253_issue_addmm_fusion_check, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_True_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_True_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_True_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_True_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_False_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_False_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_False_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_False_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_True_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestDynamicPatternMatcher::test_linear_input_non_contiguous_3D_wo_bias_dynamic_shapes, test/inductor/test_mkldnn_pattern_matcher.py::TestDynamicPatternMatcher::test_q_attention_block, test/inductor/test_mkldnn_pattern_matcher.py::TestDynamicPatternMatcher::test_qconv2d_maxpool2d_linear_dynamic_cpu
2025-12-04T10:25:13.6461589Z 
2025-12-04T10:25:13.6461973Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:25:13.626972][4398.817606164], took 7.60min
2025-12-04T10:25:13.6464167Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-a0c1e9d3c77d86ce.xml
2025-12-04T10:25:13.7113373Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 10:25:13.711040][4398.901675888]
2025-12-04T10:25:13.7113909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:25:13.7117377Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:25:13.711463]
2025-12-04T10:25:21.7341794Z 
2025-12-04T10:25:21.7342723Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_a20b783dc87facbf_.log
2025-12-04T10:25:21.7343576Z Running 0 items in this shard:
2025-12-04T10:25:21.7343800Z 
2025-12-04T10:25:21.7344149Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 10:25:21.733995][4406.924629323], took 0.13min
2025-12-04T10:25:21.7380581Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-7fa175c8be9997f1.xml
2025-12-04T10:25:21.8067439Z Running inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 10:25:21.806350][4406.996985768]
2025-12-04T10:25:21.8068030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:25:21.8070646Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.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 10:25:21.806775]
2025-12-04T10:34:12.6033346Z 
2025-12-04T10:34:12.6034775Z inductor/test_aot_inductor_arrayref 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_2.2_e46e2d23024fc6fa_.log
2025-12-04T10:34:12.6152557Z Running 150 items in this shard: test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test__int_mm_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test__weight_int4pack_mm_m_32_n_64_q_group_32_num_groups_1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test__weight_int4pack_mm_m_32_n_64_q_group_32_num_groups_2_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_32_num_groups_1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_64_num_groups_2_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_add_complex_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_addmm_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_addmm_multiple_dynamic_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aliased_buffer_reuse_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aot_inductor_consts_cpp_build_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aoti_debug_printer_cpp_kernel_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aoti_runtime_asserts_backed_symint_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_aoti_user_defined_triton_kernel_profiling_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_assert_async_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_assert_tensor_meta_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_autotune_with_constant_folding_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_autotuning_args_reuse_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_bmm_multiple_dynamic_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_boolean_indexing_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_mutation_4_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_buffer_mutation_and_force_mmap_weights_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_cpu_predicate_cuda_operands_max_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_mismatched_branch_output_dynamic_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_non_tensor_predicates_dynamic_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_predicate_on_cpu_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_simple_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_symint_input_disable_one_pass_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_unbacked_symint_closure_dynamic_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_with_multiple_outputs_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_with_outer_code_before_after_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_with_parameters_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_cond_with_replace_view_ops_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_constant_folding_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_constant_original_fqn_and_dtype_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_constant_type_propagation_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_conv_freezing_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_copy_non_blocking_is_pinned_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_dup_unbacked_sym_decl_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_dup_unbacked_sym_decl_with_refinement_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_duplicate_constant_folding_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_dynamic_cat_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_embedding_bag_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_empty_graph_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_extract_constants_map_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_fallback_kernel_with_symexpr_output_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_fft_c2c_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_fp8_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_fp8_view_of_param_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_freezing_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_fx_gm_return_tuple_validation_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_index_put_with_none_index_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_inf_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_input_codegen_with_sympy_expr_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_int_list_input_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_issue_140766_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_large_mmaped_weights_on_disk_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_large_weight_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_linear_freezing_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_load_package_multiple_gpus_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_masked_select_dynamic_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_misaligned_input_1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_misaligned_input_2_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_misc_1_max_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_misc_1_max_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_multiple_output_alias_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_narrow_fallback_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_no_args_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_non_contiguous_output_alias_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_non_tensor_input_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_pad_fallback_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_pad_non_zero_memory_leak_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_proxy_executor_abs_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_proxy_executor_hann_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_proxy_executor_squeeze_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_pytree_inputs_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_quantized_linear_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_repeat_interleave_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_repeat_output_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_repeated_calling_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_return_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_reuse_kernel_dynamic_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_rocm_triton_autotuning_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_run_with_grad_enabled_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_runtime_checks_device_type_failed_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_scaled_dot_product_efficient_attention_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_shifted_constraint_ranges_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_simple_embed_kernel_binary_False_max_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_simple_multi_arch_embed_kernel_binary_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_simple_split_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_size_with_unbacked_add_and_mul_expr_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_size_with_unbacked_add_expr_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_small_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_so_without_weight_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_stft_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_sym_expr_indexing_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_symbool_item_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_symfloat_item_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_sympy_cpp_printer_min_max_minmax1_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_torchvision_transforms_functional_tensor_resize_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_dynamic_launcher_grid_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_dynamic_launcher_grid_infer_from_tensor_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_dynamic_shape_with_div_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_equal_to_1_arg_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_1_dynamic_False_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_1_dynamic_False_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_1_dynamic_True_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_1_dynamic_True_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_2_dynamic_False_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_2_dynamic_False_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_1_num_dims_2_dynamic_True_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_1_dynamic_False_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_2_dynamic_False_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_2_num_dims_2_dynamic_True_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_1_dynamic_True_autotune_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_grid_type_3_num_dims_2_dynamic_False_autotune_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_multi_output_arg_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_on_device_tma_dynamic_False_tma_version_new_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_on_device_tma_dynamic_True_tma_version_old_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_reinterpret_view_mem_leak_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_sympy_fn_like_arg_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_tma_descriptor_1d_dynamic_True_tma_version_old_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_unbacked_symint_in_grid_dynamic_True_autotuning_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_weird_param_order_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_kernel_with_none_input_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_triton_next_power_of_2_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_unbacked_equals_input_size_runtime_assertion_mark_unbacked_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_unbacked_expr_replacements_shift_k_0_use_static_size_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_unbacked_expr_replacements_shift_k_1_use_static_size_True_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_unbacked_expr_replacements_shift_k_2_use_static_size_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_unbacked_expr_replacements_shift_k_3_use_static_size_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_update_constant_buffer_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_update_constant_buffer_simple_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_update_user_managed_buffer_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_upper_bound_i64_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_view_outputs_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_nested_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_simple_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_conv_dynamic_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_mixed_device_dynamic_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_outer_code_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_parameters_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_while_loop_with_unbacked_symint_closure_dynamic_False_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_with_cudagraphs_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_with_no_triton_profiler_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_with_offset_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_with_profiler_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_zero_grid_with_backed_symbols_cpu_with_stack_allocation
2025-12-04T10:34:12.6268682Z 
2025-12-04T10:34:12.6269067Z Finished inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 10:34:12.603578][4937.794212922], took 8.85min
2025-12-04T10:34:12.6270413Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-b2250578b15b4590.xml
2025-12-04T10:34:12.6980899Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 10:34:12.697751][4937.888386976]
2025-12-04T10:34:12.6981474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:34:12.6985048Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:34:12.698219]
2025-12-04T10:34:20.6587645Z 
2025-12-04T10:34:20.6588959Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_2c8ac4bd268f615a_.log
2025-12-04T10:34:20.6589783Z 
2025-12-04T10:34:20.6590136Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 10:34:20.658586][4945.849220072], took 0.13min
2025-12-04T10:34:20.6649054Z Running test_content_store 1/1 ... [2025-12-04 10:34:20.664710][4945.855348215]
2025-12-04T10:34:20.6649553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:34:20.6653928Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_content_store.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:34:20.665159]
2025-12-04T10:34:24.2242781Z 
2025-12-04T10:34:24.2244353Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_86942f5e2399c017_.log
2025-12-04T10:34:24.2245179Z Running 0 items in this shard:
2025-12-04T10:34:24.2245386Z 
2025-12-04T10:34:24.2245694Z Finished test_content_store 1/1 ... [2025-12-04 10:34:24.224098][4949.414733768], took 0.06min
2025-12-04T10:34:24.2298848Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_content_store/test_content_store-43adfbb5105c4f53.xml
2025-12-04T10:34:24.3041599Z Running inductor/test_pad_mm 1/1 ... [2025-12-04 10:34:24.303774][4949.494409306]
2025-12-04T10:34:24.3042260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:34:24.3045850Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pad_mm.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:34:24.304267]
2025-12-04T10:34:32.2450507Z 
2025-12-04T10:34:32.2451725Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_84a393d3569b27a1_.log
2025-12-04T10:34:32.2452460Z 
2025-12-04T10:34:32.2452759Z Finished inductor/test_pad_mm 1/1 ... [2025-12-04 10:34:32.244822][4957.435458409], took 0.13min
2025-12-04T10:34:32.2496251Z Running inductor/test_subgraph_choice 1/1 ... [2025-12-04 10:34:32.249403][4957.440041398]
2025-12-04T10:34:32.2496914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:34:32.2500190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:34:32.249758]
2025-12-04T10:34:40.1349073Z 
2025-12-04T10:34:40.1350148Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_3637a2ac2fc44ca2_.log
2025-12-04T10:34:40.1351823Z 
2025-12-04T10:34:40.1352431Z Finished inductor/test_subgraph_choice 1/1 ... [2025-12-04 10:34:40.134698][4965.325333134], took 0.13min
2025-12-04T10:34:40.1412772Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 10:34:40.141054][4965.331691322]
2025-12-04T10:34:40.1413297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:34:40.1417809Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ck_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:34:40.141537]
2025-12-04T10:34:48.1398305Z 
2025-12-04T10:34:48.1399336Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_2b1fb511325f44f6_.log
2025-12-04T10:34:48.1400122Z 
2025-12-04T10:34:48.1400446Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 10:34:48.139625][4973.330261625], took 0.13min
2025-12-04T10:34:48.1444384Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 10:34:48.144228][4973.334865367]
2025-12-04T10:34:48.1444942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:34:48.1448172Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:34:48.144584]
2025-12-04T10:34:56.1662934Z 
2025-12-04T10:34:56.1663946Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_84a71ef3058027cf_.log
2025-12-04T10:34:56.1664775Z 
2025-12-04T10:34:56.1665187Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 10:34:56.166066][4981.356695708], took 0.13min
2025-12-04T10:34:56.1726434Z Running inductor/test_xpu_basic 1/1 ... [2025-12-04 10:34:56.172428][4981.363066276]
2025-12-04T10:34:56.1726940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:34:56.1731698Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:34:56.172917]
2025-12-04T10:35:04.4108953Z 
2025-12-04T10:35:04.4109941Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_0eb51636fe292895_.log
2025-12-04T10:35:04.4110690Z 
2025-12-04T10:35:04.4111011Z Finished inductor/test_xpu_basic 1/1 ... [2025-12-04 10:35:04.410696][4989.601331923], took 0.14min
2025-12-04T10:35:04.4154737Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:35:04.415260][4989.605897116]
2025-12-04T10:35:04.4155343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:35:04.4158595Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:35:04.415622]
2025-12-04T10:35:12.3550234Z 
2025-12-04T10:35:12.3551338Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_b2ab57434aff3c9e_.log
2025-12-04T10:35:12.3552244Z 
2025-12-04T10:35:12.3552635Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:35:12.354740][4997.545374657], took 0.13min
2025-12-04T10:35:12.3612860Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:35:12.361070][4997.551707483]
2025-12-04T10:35:12.3613488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:35:12.3618049Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:35:12.361556]
2025-12-04T10:35:20.2635029Z 
2025-12-04T10:35:20.2636303Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_7f6b23ac7561e5aa_.log
2025-12-04T10:35:20.2637216Z 
2025-12-04T10:35:20.2637608Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:35:20.263301][5005.453929328], took 0.13min
2025-12-04T10:35:20.2697861Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 10:35:20.269600][5005.460237766]
2025-12-04T10:35:20.2698374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:35:20.2703141Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompiles.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:35:20.270058]
2025-12-04T10:35:27.3951254Z 
2025-12-04T10:35:27.3952522Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_a0832bd2f8552b41_.log
2025-12-04T10:35:27.3960533Z Running 18 items in this shard: test/dynamo/test_recompiles.py::RecompileTests::test_aliasing_guard_failures, test/dynamo/test_recompiles.py::RecompileTests::test_aliasing_guard_failures_with_globals, test/dynamo/test_recompiles.py::RecompileTests::test_ambient_autocast_recompile, test/dynamo/test_recompiles.py::RecompileTests::test_autocast_constant_fold, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_on_closed_ints, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_reduce_recompiles, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_shapes_mark_as_oblivious, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_shapes_mark_as_oblivious_fail_counterfactual, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_shapes_mark_as_unbacked, test/dynamo/test_recompiles.py::RecompileTests::test_automatic_dynamic_tensor_scalar_change, test/dynamo/test_recompiles.py::RecompileTests::test_dunder_call_recompile, test/dynamo/test_recompiles.py::RecompileTests::test_dynamic_shape_parameter_recompile, test/dynamo/test_recompiles.py::RecompileTests::test_inline_inbuilt_nn_modules_candidate, test/dynamo/test_recompiles.py::RecompileTests::test_no_recompile_over_unused_objects, test/dynamo/test_recompiles.py::RecompileTests::test_no_recursive_compile_after_cache_limit_hit, test/dynamo/test_recompiles.py::RecompileTests::test_recompiles_true_false_flop, test/dynamo/test_recompiles.py::RecompileTests::test_run_mode_after_cache_limit_hit, test/dynamo/test_recompiles.py::RecompileTests::test_simple_module_recompile
2025-12-04T10:35:27.3968400Z 
2025-12-04T10:35:27.3968717Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 10:35:27.395028][5012.585655968], took 0.12min
2025-12-04T10:35:27.4007668Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-6a2f16c61c38964f.xml
2025-12-04T10:35:27.8158587Z Uploading artifacts took 0.30 seconds
2025-12-04T10:35:27.8168267Z Running inductor/test_foreach 1/1 ... [2025-12-04 10:35:27.816595][5013.007230914]
2025-12-04T10:35:27.8168800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:35:27.8172944Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_foreach.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:35:27.817042]
2025-12-04T10:35:54.8250443Z 
2025-12-04T10:35:54.8251376Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_66a8e017b4486275_.log
2025-12-04T10:35:54.8472575Z Running 536 items in this shard: test/inductor/test_foreach.py::ForeachTests::test_2d_block_mixed_sizes_with_mask, test/inductor/test_foreach.py::ForeachTests::test_2d_block_no_mixed_sizes_no_mask, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_elems_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_2d_blocking_partitioning_mixed_sizes_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_aliasing, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_broadcasting__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_broadcasting_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_cpu_cpp_fallback_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_decomp__foreach_addcdiv, test/inductor/test_foreach.py::ForeachTests::test_decomp__foreach_addcmul, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_dynamic_shapes_fallback_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_enable_dynamic_shapes_cpp_wrapper_cuda, test/inductor/test_foreach.py::ForeachTests::test_enable_dynamic_shapes_cpp_wrapper_xpu, test/inductor/test_foreach.py::ForeachTests::test_enable_dynamic_shapes_python_wrapper, test/inductor/test_foreach.py::ForeachTests::test_foreach_cpp_wrapper_cuda, test/inductor/test_foreach.py::ForeachTests::test_foreach_cpp_wrapper_xpu, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_binary_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_unary_foreach_map_abs, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_unary_foreach_map_neg, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_unary_foreach_map_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_backward_unary_foreach_map_sign, test/inductor/test_foreach.py::ForeachTests::test_foreach_map_input_mutation, test/inductor/test_foreach.py::ForeachTests::test_fuse_concat, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_fusion_duplicate_buffer_list_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_list_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_kernel_split_arg_limit_scalar_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_multi_device, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_abs, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_neg, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_rsqrt, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_sign, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_sqrt, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_abs, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_addcmul_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_neg, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_recipaddmul_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_sign, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_list_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_abs, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_neg, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_rsqrt, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_sign, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_sqrt, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_abs, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_addcmul_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_neg, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_recipaddmul_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_sign, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_list_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_producer_scalar_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_consumer_scalar_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_abs, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_neg, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_rsqrt, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_sign, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_sqrt, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_abs, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_addcmul_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_neg, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_recipaddmul_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_sign, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_list_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_non_foreach_producer_scalar_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_reinplacing__foreach_add_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing__foreach_div_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing__foreach_mul_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing__foreach_sub_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_after__foreach_add_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_after__foreach_div_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_after__foreach_mul_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_after__foreach_sub_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_before__foreach_add_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_before__foreach_div_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_before__foreach_mul_, test/inductor/test_foreach.py::ForeachTests::test_reinplacing_mut_before__foreach_sub_, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_abs, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_neg, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_rsqrt, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_sign, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_sqrt, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_abs, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_addcmul_op, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_neg, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_recipaddmul_op, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_sign, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_list_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_scheduler_fusion_scalar_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_abs, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_neg, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_rsqrt, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_sign, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_sqrt, test/inductor/test_foreach.py::ForeachTests::test_single_list__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_abs, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_addcmul_op, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_neg, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_recipaddmul_op, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_sign, test/inductor/test_foreach.py::ForeachTests::test_single_list_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_single_scalar__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_single_scalar_tensor_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_abs, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_neg, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_rsqrt, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_sign, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_sqrt, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_abs, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_addcmul_op, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_neg, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_recipaddmul_op, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_reciprocal, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_sign, test/inductor/test_foreach.py::ForeachTests::test_singleton_lists_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_add, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_copy, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_div, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_maximum, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_minimum, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_mul, test/inductor/test_foreach.py::ForeachTests::test_type_promotion__foreach_sub, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_add, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_add_op, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_addrecip_op, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_clamp_max, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_clamp_min, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_copy, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_div, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_maximum, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_minimum, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_mul, test/inductor/test_foreach.py::ForeachTests::test_type_promotion_foreach_map_sub, test/inductor/test_foreach.py::ForeachTests::test_zero_elems
2025-12-04T10:35:54.8687447Z 
2025-12-04T10:35:54.8687770Z Finished inductor/test_foreach 1/1 ... [2025-12-04 10:35:54.825783][5040.016417859], took 0.45min
2025-12-04T10:35:54.8688922Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-5a857f5158cb47a1.xml
2025-12-04T10:35:54.9292931Z Running inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:35:54.928986][5040.119622655]
2025-12-04T10:35:54.9293481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:35:54.9296831Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:35:54.929393]
2025-12-04T10:36:02.8260854Z 
2025-12-04T10:36:02.8261882Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_30c81cbc73bc47f0_.log
2025-12-04T10:36:02.8262695Z 
2025-12-04T10:36:02.8263323Z Finished inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:36:02.825871][5048.016507106], took 0.13min
2025-12-04T10:36:02.8327498Z Running inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:36:02.832546][5048.023183589]
2025-12-04T10:36:02.8328073Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:36:02.8332659Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_provenance_tracing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:36:02.833009]
2025-12-04T10:36:41.9559314Z 
2025-12-04T10:36:41.9560691Z inductor/test_provenance_tracing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_provenance_tracing_1.1_b3d6e6771bac9128_.log
2025-12-04T10:36:41.9570339Z Running 16 items in this shard: test/inductor/test_provenance_tracing.py::TestProvenanceTracingArtifact::test_triton_kernel_to_post_grad_tracing_combo_kernel, test/inductor/test_provenance_tracing.py::TestProvenanceTracingArtifact::test_triton_kernel_to_post_grad_tracing_cpu, test/inductor/test_provenance_tracing.py::TestProvenanceTracingArtifact::test_triton_kernel_to_post_grad_tracing_cuda, test/inductor/test_provenance_tracing.py::TestProvenanceTracingArtifact::test_triton_kernel_to_post_grad_tracing_extern_kernel, test/inductor/test_provenance_tracing.py::TestProvenanceTracingNodeMapping::test_create_node_mapping, test/inductor/test_provenance_tracing.py::TestProvenanceTracingNodeMeta::test_pattern_matcher_transfer_meta, test/inductor/test_provenance_tracing.py::TestProvenanceTracingStackTraces::test_cpu_extern_kernel, test/inductor/test_provenance_tracing.py::TestProvenanceTracingStackTraces::test_create_kernel_information_json_function, test/inductor/test_provenance_tracing.py::TestProvenanceTracingStackTraces::test_deferred_triton_kernels, test/inductor/test_provenance_tracing.py::TestProvenanceTracingStackTraces::test_kernel_information_generation, test/inductor/test_provenance_tracing.py::TestProvenanceTracingStackTraces::test_no_kernel_information_without_provenance_tracking, test/inductor/test_provenance_tracing.py::TestProvenanceTracingStackTraces::test_tlparse_kernel_stack_traces, test/inductor/test_provenance_tracing.py::TestProvenanceTracingKernelContextCpu::test_aoti_python_stack_traces_cpu, test/inductor/test_provenance_tracing.py::TestProvenanceTracingKernelContextCpu::test_jit_inductor_with_flag_cpu, test/inductor/test_provenance_tracing.py::TestProvenanceTracingKernelContextGpu::test_aoti_python_stack_traces_cuda, test/inductor/test_provenance_tracing.py::TestProvenanceTracingKernelContextGpu::test_jit_inductor_with_flag_cuda
2025-12-04T10:36:41.9579870Z 
2025-12-04T10:36:41.9580244Z Finished inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:36:41.955740][5087.14637672], took 0.65min
2025-12-04T10:36:41.9605880Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-4a51aa60ec267903.xml
2025-12-04T10:36:42.0680618Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:36:42.067692][5087.258324895]
2025-12-04T10:36:42.0681193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:36:42.0684768Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:36:42.068196]
2025-12-04T10:36:46.7898779Z 
2025-12-04T10:36:46.7899829Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_40f6d63b4e0e00f8_.log
2025-12-04T10:36:46.7903703Z Running 8 items in this shard: test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_skip, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor1, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor2, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor_dict, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_add_tensor_list, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_custom_list, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_do_not_skip_side_effects, test/dynamo/test_skip_non_tensor.py::SkipNonTensorTests::test_recursive_list
2025-12-04T10:36:46.7906735Z 
2025-12-04T10:36:46.7907082Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:36:46.789691][5091.980328047], took 0.08min
2025-12-04T10:36:46.7959364Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-1208374ef629b7a3.xml
2025-12-04T10:36:46.8353198Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:36:46.835102][5092.025739404]
2025-12-04T10:36:46.8353772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:36:46.8357996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:36:46.835520]
2025-12-04T10:36:59.3188770Z 
2025-12-04T10:36:59.3190255Z 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_7d69c1368b7f154b_.log
2025-12-04T10:36:59.3193077Z Running 5 items in this shard: test/dynamo/test_skip_guard_eval_unsafe.py::RunDiffGuardTests::test_bool_recompile, test/dynamo/test_skip_guard_eval_unsafe.py::RunDiffGuardTests::test_cache_line_pickup, test/dynamo/test_skip_guard_eval_unsafe.py::RunDiffGuardTests::test_fail_on_tensor_shape_change, test/dynamo/test_skip_guard_eval_unsafe.py::RunDiffGuardTests::test_post_recompile, test/dynamo/test_skip_guard_eval_unsafe.py::RunDiffGuardTests::test_tensor_recompile
2025-12-04T10:36:59.3195878Z 
2025-12-04T10:36:59.3196259Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:36:59.318636][5104.509271362], took 0.21min
2025-12-04T10:36:59.3237445Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_guard_eval_unsafe/dynamo.test_skip_guard_eval_unsafe-3f744dc7da29f97b.xml
2025-12-04T10:36:59.3988468Z Running inductor/test_best_config 1/1 ... [2025-12-04 10:36:59.398547][5104.589182371]
2025-12-04T10:36:59.3989129Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:36:59.3991920Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_best_config.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:36:59.398897]
2025-12-04T10:37:07.2939608Z 
2025-12-04T10:37:07.2940811Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_916699664fff3884_.log
2025-12-04T10:37:07.2941605Z 
2025-12-04T10:37:07.2941948Z Finished inductor/test_best_config 1/1 ... [2025-12-04 10:37:07.293658][5112.484295402], took 0.13min
2025-12-04T10:37:07.3011563Z Running dynamo/test_buffers_override 1/1 ... [2025-12-04 10:37:07.300956][5112.491594395]
2025-12-04T10:37:07.3012115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:07.3016608Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_buffers_override.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:37:07.301433]
2025-12-04T10:37:18.6828444Z 
2025-12-04T10:37:18.6829443Z dynamo/test_buffers_override 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_buffers_override_1.1_88eec340c26b14f9_.log
2025-12-04T10:37:18.6831363Z Running 2 items in this shard: test/dynamo/test_buffers_override.py::TestBuffersOverride::test_buffers_override, test/dynamo/test_buffers_override.py::TestBuffersOverride::test_named_buffers_override
2025-12-04T10:37:18.6832323Z 
2025-12-04T10:37:18.6832668Z Finished dynamo/test_buffers_override 1/1 ... [2025-12-04 10:37:18.682617][5123.873253258], took 0.19min
2025-12-04T10:37:18.6891896Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_buffers_override/dynamo.test_buffers_override-0689958511b7d576.xml
2025-12-04T10:37:18.7736946Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 10:37:18.773406][5123.964041411]
2025-12-04T10:37:18.7737504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:18.7741339Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:37:18.773850]
2025-12-04T10:37:26.8102158Z 
2025-12-04T10:37:26.8103234Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_eab789858e5f5dac_.log
2025-12-04T10:37:26.8104077Z 
2025-12-04T10:37:26.8104438Z Finished inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 10:37:26.809961][5132.000596487], took 0.13min
2025-12-04T10:37:26.8174795Z Running inductor/test_mem_estimation 1/1 ... [2025-12-04 10:37:26.817281][5132.007918903]
2025-12-04T10:37:26.8175343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:26.8179424Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mem_estimation.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:37:26.817714]
2025-12-04T10:37:34.8446412Z 
2025-12-04T10:37:34.8447569Z inductor/test_mem_estimation 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mem_estimation_1.1_86eab37f498b7695_.log
2025-12-04T10:37:34.8448378Z 
2025-12-04T10:37:34.8448742Z Finished inductor/test_mem_estimation 1/1 ... [2025-12-04 10:37:34.844382][5140.035019519], took 0.13min
2025-12-04T10:37:34.8500538Z Running dynamo/test_view 1/1 ... [2025-12-04 10:37:34.849801][5140.040438932]
2025-12-04T10:37:34.8501018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:34.8504376Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_view.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:37:34.850187]
2025-12-04T10:37:39.4714153Z 
2025-12-04T10:37:39.4714998Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_2d49025e63bed969_.log
2025-12-04T10:37:39.4717527Z Running 6 items in this shard: test/dynamo/test_view.py::ViewTests::test_tensor_view_with_tensor_args, test/dynamo/test_view.py::ViewTests::test_tensor_view_with_tensor_shape_params, test/dynamo/test_view.py::ViewTests::test_torch_reshape_with_tensor_shape_params, test/dynamo/test_view.py::ViewTests::test_view_to_1d, test/dynamo/test_view.py::ViewTests::test_view_to_2d, test/dynamo/test_view.py::ViewTests::test_view_with_tensor_shape_params
2025-12-04T10:37:39.4719606Z 
2025-12-04T10:37:39.4719897Z Finished dynamo/test_view 1/1 ... [2025-12-04 10:37:39.471228][5144.661865273], took 0.08min
2025-12-04T10:37:39.4764645Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_view/dynamo.test_view-0cbf5cc7800c5bfc.xml
2025-12-04T10:37:39.5720344Z Running inductor/test_cutlass_evt 1/1 ... [2025-12-04 10:37:39.571683][5144.762318438]
2025-12-04T10:37:39.5720910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:39.5723032Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_evt.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:37:39.572037]
2025-12-04T10:37:47.5984978Z 
2025-12-04T10:37:47.5986007Z inductor/test_cutlass_evt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_evt_1.1_8215f41d5e1ff713_.log
2025-12-04T10:37:47.5989742Z Running 8 items in this shard: test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_evt_argument_codegen, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_evt_argument_codegen_return_accumulator, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_evt_codegen, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_example_tensor_creation, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen_accumulator_return, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen_broadcasting, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen_disjoint_read_indexing
2025-12-04T10:37:47.5992814Z 
2025-12-04T10:37:47.5993149Z Finished inductor/test_cutlass_evt 1/1 ... [2025-12-04 10:37:47.598320][5152.788955977], took 0.13min
2025-12-04T10:37:47.6039385Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutlass_evt/inductor.test_cutlass_evt-aaeef0f7460d525c.xml
2025-12-04T10:37:47.6883362Z Running dynamo/test_reconstruct 1/1 ... [2025-12-04 10:37:47.688044][5152.878680434]
2025-12-04T10:37:47.6883925Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:47.6886983Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reconstruct.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:37:47.688388]
2025-12-04T10:37:57.0664398Z 
2025-12-04T10:37:57.0665490Z dynamo/test_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reconstruct_1.1_cede6b4dd1696145_.log
2025-12-04T10:37:57.0672635Z Running 16 items in this shard: test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_clear_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_del_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_get_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_optimize_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_pop_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_popitem_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_popitem_reconstruct_graph_break, test/dynamo/test_reconstruct.py::ReconstructTest::test_create_dict_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_functional_call_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_functional_call_reconstruct_2, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_nested_function, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_skipped_function, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_user_function, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_user_method, test/dynamo/test_reconstruct.py::ReconstructTest::test_tma_experimental_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_tma_stable_reconstruct
2025-12-04T10:37:57.0679311Z 
2025-12-04T10:37:57.0679629Z Finished dynamo/test_reconstruct 1/1 ... [2025-12-04 10:37:57.066263][5162.256899113], took 0.16min
2025-12-04T10:37:57.0719441Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_reconstruct/dynamo.test_reconstruct-53cc511706d9bfdf.xml
2025-12-04T10:37:57.1471081Z Running dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:37:57.146806][5162.337440044]
2025-12-04T10:37:57.1471621Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:57.1475025Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:37:57.147191]
2025-12-04T10:39:00.1054382Z 
2025-12-04T10:39:00.1057406Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_e248f30f4a7ae5e6_.log
2025-12-04T10:39:00.1086837Z Running 51 items in this shard: test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_LSTM, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_alias_inputs, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_backwards, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_error, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_functionalizes, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_raises_invalid_leaf_set, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_stride_reconstruction_on_zero_dim_dynamic_shaped_tensor, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_export_joint_simple_repro, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_grad_mode_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_sequence_nr, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_list, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_with_global, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_autograd_function_tangent_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_safe, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_control_flow, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_copy, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_fails_in_backward, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_fails_in_forward, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_different_inputs_overlapping_set_with_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer2, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer3, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer4, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer5, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer6, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph2, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph3, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph4, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_double_backward_errors, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_eager_sequence_nr, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_grad_inputs_alias_inputs, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_inputs_overlapping_with_mutation_recompile, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_inputs_overlapping_with_mutation_stress, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_joint_custom_pass, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_multiple_aot_autograd_calls_dupe_args, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_mutation1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_negative_testing, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_negative_testing_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_nn_parameter_construction, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_no_storage_overlap_guards_no_aliasing, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_no_storage_overlap_guards_no_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_requires_grad_fake_via_dynamo_recompiles, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_split_with_sizes_aot_autograd_cleans_up_traceback_meta, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_unbacked_activation_specialized_in_inductor
2025-12-04T10:39:00.1114105Z 
2025-12-04T10:39:00.1114433Z Finished dynamo/test_aot_autograd 1/1 ... [2025-12-04 10:39:00.105307][5225.29594184], took 1.05min
2025-12-04T10:39:00.1115755Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd/dynamo.test_aot_autograd-f5d43350674d61fa.xml
2025-12-04T10:39:00.1858688Z Running inductor/test_cache 1/1 ... [2025-12-04 10:39:00.185545][5225.376180718]
2025-12-04T10:39:00.1859207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:00.1862227Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cache.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:39:00.185932]
2025-12-04T10:39:48.0762710Z 
2025-12-04T10:39:48.0763610Z inductor/test_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cache_1.1_43c75081bfa687ff_.log
2025-12-04T10:39:48.1305711Z Running 725 items in this shard: test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type0_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type0_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type1_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type1_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type2_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type2_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type3_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type3_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type4_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type4_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type5_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type0_value_type5_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type0_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type0_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type1_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type1_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type2_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type2_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type3_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type3_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type4_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type4_get_first_True, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type5_get_first_False, test/inductor/test_cache.py::CacheTest::test_combo_concurrent_cache_type0_key_type1_value_type5_get_first_True, 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test/inductor/test_cache.py::CacheTest::test_get_concurrent_cache_type2_key_type1_value_type5, test/inductor/test_cache.py::CacheTest::test_get_concurrent_cache_type2_key_type2_value_type0, test/inductor/test_cache.py::CacheTest::test_get_concurrent_cache_type2_key_type2_value_type1, test/inductor/test_cache.py::CacheTest::test_get_concurrent_cache_type2_key_type2_value_type2, test/inductor/test_cache.py::CacheTest::test_get_concurrent_cache_type2_key_type2_value_type3, test/inductor/test_cache.py::CacheTest::test_get_concurrent_cache_type2_key_type2_value_type4, test/inductor/test_cache.py::CacheTest::test_get_concurrent_cache_type2_key_type2_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type0_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type0_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type0_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type0_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type0_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type0_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type1_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type1_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type1_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type1_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type1_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type1_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type2_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type2_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type2_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type2_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type2_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type0_key_type2_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type0_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type0_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type0_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type0_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type0_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type0_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type1_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type1_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type1_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type1_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type1_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type1_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type2_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type2_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type2_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type2_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type2_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type1_key_type2_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type0_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type0_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type0_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type0_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type0_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type0_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type1_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type1_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type1_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type1_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type1_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type1_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type2_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type2_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type2_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type2_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type2_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_cache_type2_key_type2_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type0_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type0_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type0_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type0_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type0_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type0_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type1_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type1_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type1_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type1_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type1_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type1_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type2_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type2_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type2_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type2_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type2_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type0_key_type2_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type0_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type0_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type0_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type0_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type0_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type0_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type1_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type1_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type1_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type1_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type1_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type1_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type2_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type2_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type2_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type2_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type2_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type1_key_type2_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type0_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type0_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type0_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type0_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type0_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type0_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type1_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type1_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type1_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type1_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type1_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type1_value_type5, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type2_value_type0, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type2_value_type1, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type2_value_type2, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type2_value_type3, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type2_value_type4, test/inductor/test_cache.py::CacheTest::test_insert_concurrent_cache_type2_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type0_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type0_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type1_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type1_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type2_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type2_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type3_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type3_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type4_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type4_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type5_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type0_value_type5_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type0_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type0_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type1_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type1_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type2_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type2_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type3_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type3_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type4_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type4_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type5_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type1_value_type5_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type0_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type0_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type1_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type1_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type2_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type2_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type3_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type3_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type4_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type4_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type5_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type0_key_type2_value_type5_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type0_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type0_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type1_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type1_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type2_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type2_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type3_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type3_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type4_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type4_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type5_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type0_value_type5_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type0_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type0_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type1_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type1_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type2_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type2_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type3_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type3_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type4_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type4_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type5_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type1_value_type5_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type0_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type0_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type1_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type1_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type2_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type2_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type3_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type3_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type4_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type4_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type5_get_first_False, test/inductor/test_cache.py::AsyncCacheTest::test_combo_async_concurrent_async_cache_type1_key_type2_value_type5_get_first_True, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type0_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_async_cache_type1_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type0_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_get_async_concurrent_async_cache_type1_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type0_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_async_cache_type1_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type0_key_type2_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type0_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type0_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type0_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type0_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type0_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type0_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type1_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type1_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type1_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type1_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type1_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type1_value_type5, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type2_value_type0, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type2_value_type1, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type2_value_type2, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type2_value_type3, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type2_value_type4, test/inductor/test_cache.py::AsyncCacheTest::test_insert_async_concurrent_async_cache_type1_key_type2_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type0_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type0_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type0_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type0_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type0_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type0_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type1_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type1_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type1_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type1_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type1_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type1_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type2_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type2_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type2_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type2_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type2_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_bad_encoding_key_type2_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type0_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type0_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type0_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type0_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type0_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type0_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type1_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type1_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type1_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type1_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type1_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type1_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type2_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type2_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type2_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type2_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type2_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_duplicated_entries_key_type2_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type0_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type0_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type0_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type0_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type1_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type1_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type1_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type1_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type2_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type2_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type2_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type2_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type3_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type3_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type3_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type3_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type4_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type4_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type4_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type4_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type5_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type5_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type5_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type0_value_type5_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type0_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type0_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type0_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type0_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type1_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type1_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type1_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type1_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type2_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type2_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type2_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type2_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type3_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type3_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type3_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type3_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type4_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type4_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type4_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type4_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type5_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type5_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type5_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type1_value_type5_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type0_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type0_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type0_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type0_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type1_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type1_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type1_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type1_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type2_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type2_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type2_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type2_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type3_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type3_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type3_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type3_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type4_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type4_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type4_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type4_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type5_with_whitespace_False_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type5_with_whitespace_False_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type5_with_whitespace_True_with_semicolon_suffix_False, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_key_type2_value_type5_with_whitespace_True_with_semicolon_suffix_True, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type0_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type0_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type0_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type0_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type0_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type0_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type1_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type1_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type1_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type1_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type1_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type1_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type2_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type2_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type2_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type2_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type2_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_missing_comma_separator_key_type2_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type0_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type0_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type0_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type0_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type0_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type0_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type1_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type1_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type1_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type1_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type1_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type1_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type2_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type2_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type2_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type2_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type2_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_env_var_not_un_pickle_able_key_type2_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type0_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type0_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type0_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type0_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type0_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type0_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type1_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type1_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type1_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type1_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type1_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type1_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type2_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type2_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type2_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type2_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type2_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_key_type2_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_dict, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type0_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type0_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type0_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type0_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type0_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type0_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type1_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type1_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type1_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type1_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type1_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type1_value_type5, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type2_value_type0, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type2_value_type1, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type2_value_type2, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type2_value_type3, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type2_value_type4, test/inductor/test_cache.py::OtherTest::test_in_memory_cache_from_file_path_not_un_pickle_able_key_type2_value_type5, test/inductor/test_cache.py::OtherTest::test_on_disk_cache_fpath_from_key_un_pickle_able_on_disk_cache_type0, test/inductor/test_cache.py::OtherTest::test_on_disk_cache_fpath_from_key_un_pickle_able_on_disk_cache_type1, test/inductor/test_cache.py::OtherTest::test_on_disk_cache_version_bump_on_disk_cache_type0, test/inductor/test_cache.py::OtherTest::test_on_disk_cache_version_bump_on_disk_cache_type1
2025-12-04T10:39:48.1646460Z 
2025-12-04T10:39:48.1646807Z Finished inductor/test_cache 1/1 ... [2025-12-04 10:39:48.077595][5273.268226185], took 0.80min
2025-12-04T10:39:48.1647914Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cache/inductor.test_cache-34e426b299db676c.xml
2025-12-04T10:39:48.1943022Z Running inductor/test_block_analysis 1/1 ... [2025-12-04 10:39:48.194026][5273.384661179]
2025-12-04T10:39:48.1943579Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:48.1946552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_block_analysis.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:39:48.194395]
2025-12-04T10:39:56.3711792Z 
2025-12-04T10:39:56.3713371Z inductor/test_block_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_block_analysis_1.1_6d636440b0cb04c2_.log
2025-12-04T10:39:56.3724429Z Running 10 items in this shard: test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_3_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_4_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_5_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_index_with_dynamic_shapes, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims0_strides0_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims1_strides1_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims2_strides2_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol0_expr0_subexpr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol1_expr1_subexpr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol2_expr2_subexpr2
2025-12-04T10:39:56.3733795Z 
2025-12-04T10:39:56.3734384Z Finished inductor/test_block_analysis 1/1 ... [2025-12-04 10:39:56.370909][5281.561545117], took 0.14min
2025-12-04T10:39:56.3779048Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_block_analysis/inductor.test_block_analysis-227f20c314f9c617.xml
2025-12-04T10:39:56.4553320Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 10:39:56.454998][5281.645633782]
2025-12-04T10:39:56.4554169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:56.4557730Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_subgraphs.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:39:56.455406]
2025-12-04T10:40:06.0842105Z 
2025-12-04T10:40:06.0843508Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_f0a04f654afa50a6_.log
2025-12-04T10:40:06.0871764Z Running 44 items in this shard: test/dynamo/test_subgraphs.py::SubGraphTests::test_capi_call1, test/dynamo/test_subgraphs.py::SubGraphTests::test_capi_call2, test/dynamo/test_subgraphs.py::SubGraphTests::test_capi_call3, test/dynamo/test_subgraphs.py::SubGraphTests::test_control_flow1, test/dynamo/test_subgraphs.py::SubGraphTests::test_control_flow2, test/dynamo/test_subgraphs.py::SubGraphTests::test_control_flow3, test/dynamo/test_subgraphs.py::SubGraphTests::test_control_flow4, test/dynamo/test_subgraphs.py::SubGraphTests::test_control_flow5, test/dynamo/test_subgraphs.py::SubGraphTests::test_dynamic_duck_size, test/dynamo/test_subgraphs.py::SubGraphTests::test_dynamic_getitem, test/dynamo/test_subgraphs.py::SubGraphTests::test_dynamic_kwarg, test/dynamo/test_subgraphs.py::SubGraphTests::test_dynamic_order_dependence, test/dynamo/test_subgraphs.py::SubGraphTests::test_dynamic_zero_inference, test/dynamo/test_subgraphs.py::SubGraphTests::test_enumerate_not_break_graph, test/dynamo/test_subgraphs.py::SubGraphTests::test_extended_args, test/dynamo/test_subgraphs.py::SubGraphTests::test_graph_break_on_item, test/dynamo/test_subgraphs.py::SubGraphTests::test_indirect_unsupported1, test/dynamo/test_subgraphs.py::SubGraphTests::test_indirect_unsupported2, test/dynamo/test_subgraphs.py::SubGraphTests::test_indirect_unsupported3, test/dynamo/test_subgraphs.py::SubGraphTests::test_multigraph, test/dynamo/test_subgraphs.py::SubGraphTests::test_no_graph_break_on_item, test/dynamo/test_subgraphs.py::SubGraphTests::test_pop_after_resume, test/dynamo/test_subgraphs.py::SubGraphTests::test_restore_range, test/dynamo/test_subgraphs.py::SubGraphTests::test_restore_range_iter, test/dynamo/test_subgraphs.py::SubGraphTests::test_restore_state, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume1, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume2, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume3, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume4, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume5, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume_freevars, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume_paths_join, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume_tuple_iterator, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume_with_no_grad1, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume_with_no_grad2, test/dynamo/test_subgraphs.py::SubGraphTests::test_resume_with_no_grad3, test/dynamo/test_subgraphs.py::SubGraphTests::test_stack_state1, test/dynamo/test_subgraphs.py::SubGraphTests::test_stack_state2, test/dynamo/test_subgraphs.py::SubGraphTests::test_start1, test/dynamo/test_subgraphs.py::SubGraphTests::test_start2, test/dynamo/test_subgraphs.py::SubGraphTests::test_start3, test/dynamo/test_subgraphs.py::SubGraphTests::test_start4, test/dynamo/test_subgraphs.py::SubGraphTests::test_tuple_iterator_mutate, test/dynamo/test_subgraphs.py::SubGraphTests::test_tuple_iterator_return
2025-12-04T10:40:06.0899210Z 
2025-12-04T10:40:06.0899719Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 10:40:06.084070][5291.274705769], took 0.16min
2025-12-04T10:40:06.0902961Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_subgraphs/dynamo.test_subgraphs-718229fb126b51f7.xml
2025-12-04T10:40:06.1790467Z Running dynamo/test_pre_dispatch 1/1 ... [2025-12-04 10:40:06.178749][5291.36938329]
2025-12-04T10:40:06.1791316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:06.1795589Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_pre_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:06.179181]
2025-12-04T10:40:10.3998120Z 
2025-12-04T10:40:10.3999685Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_9d1aa0d4337957fe_.log
2025-12-04T10:40:10.4003334Z Running 3 items in this shard: test/dynamo/test_pre_dispatch.py::PreDispatchTests::test_autocast_simple, test/dynamo/test_pre_dispatch.py::PreDispatchTests::test_enable_grad_and_no_grad, test/dynamo/test_pre_dispatch.py::PreDispatchTests::test_no_grad_simple
2025-12-04T10:40:10.4005608Z 
2025-12-04T10:40:10.4006123Z Finished dynamo/test_pre_dispatch 1/1 ... [2025-12-04 10:40:10.399615][5295.590246298], took 0.07min
2025-12-04T10:40:10.4059505Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_pre_dispatch/dynamo.test_pre_dispatch-3f7504fbfa671f68.xml
2025-12-04T10:40:10.4409435Z Running inductor/test_custom_post_grad_passes 1/1 ... [2025-12-04 10:40:10.440672][5295.631308591]
2025-12-04T10:40:10.4410406Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:10.4422602Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_post_grad_passes.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:10.441081]
2025-12-04T10:40:26.1789706Z 
2025-12-04T10:40:26.1791540Z inductor/test_custom_post_grad_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_post_grad_passes_1.1_3ead49264b4f974f_.log
2025-12-04T10:40:26.1799216Z Running 6 items in this shard: test/inductor/test_custom_post_grad_passes.py::TestPostGradCustomPrePostPass::test_custom_backend_pass, test/inductor/test_custom_post_grad_passes.py::TestPostGradCustomPrePostPass::test_custom_joint_pass_post, test/inductor/test_custom_post_grad_passes.py::TestPostGradCustomPrePostPass::test_custom_joint_pass_pre, test/inductor/test_custom_post_grad_passes.py::TestPostGradCustomPrePostPass::test_custom_post_pass, test/inductor/test_custom_post_grad_passes.py::TestPostGradCustomPrePostPass::test_custom_pre_grad_pass, test/inductor/test_custom_post_grad_passes.py::TestPostGradCustomPrePostPass::test_custom_pre_pass
2025-12-04T10:40:26.1805583Z 
2025-12-04T10:40:26.1806311Z Finished inductor/test_custom_post_grad_passes 1/1 ... [2025-12-04 10:40:26.178715][5311.369351098], took 0.26min
2025-12-04T10:40:26.1859505Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_post_grad_passes/inductor.test_custom_post_grad_passes-79f8a49fe155589f.xml
2025-12-04T10:40:26.2567678Z Running dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:40:26.256484][5311.447120161]
2025-12-04T10:40:26.2568519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:26.2572461Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_annotate.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:26.256901]
2025-12-04T10:40:34.8842530Z 
2025-12-04T10:40:34.8844128Z dynamo/test_fx_annotate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_annotate_1.1_bd748723c01cbeab_.log
2025-12-04T10:40:34.8849466Z Running 6 items in this shard: test/dynamo/test_fx_annotate.py::AnnotateTests::test_ac_flex_attention, test/dynamo/test_fx_annotate.py::AnnotateTests::test_activation_checkpointing, test/dynamo/test_fx_annotate.py::AnnotateTests::test_activation_checkpointing_annotation_inside, test/dynamo/test_fx_annotate.py::AnnotateTests::test_annotations, test/dynamo/test_fx_annotate.py::AnnotateTests::test_as_decorator, test/dynamo/test_fx_annotate.py::AnnotateTests::test_graph_break
2025-12-04T10:40:34.8853676Z 
2025-12-04T10:40:34.8854178Z Finished dynamo/test_fx_annotate 1/1 ... [2025-12-04 10:40:34.884028][5320.074664577], took 0.14min
2025-12-04T10:40:34.8907548Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_annotate/dynamo.test_fx_annotate-5d225d4cf9468d9d.xml
2025-12-04T10:40:34.9856419Z Running dynamo/test_pgo 1/1 ... [2025-12-04 10:40:34.985265][5320.175899645]
2025-12-04T10:40:34.9857193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:34.9860771Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_pgo.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:34.985687]
2025-12-04T10:40:41.9104136Z 
2025-12-04T10:40:41.9105321Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_98c935b432b2b9ae_.log
2025-12-04T10:40:41.9108805Z Running 11 items in this shard: test/dynamo/test_pgo.py::PgoTest::test_basic, test/dynamo/test_pgo.py::PgoTest::test_different_file_paths_local_pgo, test/dynamo/test_pgo.py::PgoTest::test_distinct_compile_id, test/dynamo/test_pgo.py::PgoTest::test_njt, test/dynamo/test_pgo.py::PgoTest::test_no_empty_graph_allowlist, test/dynamo/test_pgo.py::PgoTest::test_pgo_dynamic_false, test/dynamo/test_pgo.py::PgoTest::test_pgo_dynamic_params, test/dynamo/test_pgo.py::PgoTest::test_remote_basic, test/dynamo/test_pgo.py::PgoTest::test_sticky_pgo_read_write, test/dynamo/test_pgo.py::PgoTest::test_whitelist_ints_floats, test/dynamo/test_pgo.py::PgoTest::test_whitelist_suggestion
2025-12-04T10:40:41.9111744Z 
2025-12-04T10:40:41.9112030Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 10:40:41.910242][5327.100879963], took 0.12min
2025-12-04T10:40:41.9169591Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_pgo/dynamo.test_pgo-317286952ccbad09.xml
2025-12-04T10:40:42.0023152Z Running export/test_export_opinfo 1/1 ... [2025-12-04 10:40:42.001925][5327.192560168]
2025-12-04T10:40:42.0023720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:42.0026614Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_opinfo.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:42.002353]
2025-12-04T10:40:46.6598836Z 
2025-12-04T10:40:46.6599844Z export/test_export_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_opinfo_1.1_09bdfc4db720ad56_.log
2025-12-04T10:40:46.6600748Z Running 0 items in this shard:
2025-12-04T10:40:46.6600967Z 
2025-12-04T10:40:46.6601294Z Finished export/test_export_opinfo 1/1 ... [2025-12-04 10:40:46.659665][5331.850300591], took 0.08min
2025-12-04T10:40:46.6664669Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_opinfo/export.test_export_opinfo-6b80664b5bf88eed.xml
2025-12-04T10:40:46.7010213Z Running dynamo/test_nops 1/1 ... [2025-12-04 10:40:46.700740][5331.891376254]
2025-12-04T10:40:46.7010697Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:46.7013280Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_nops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:46.701094]
2025-12-04T10:40:50.8715535Z 
2025-12-04T10:40:50.8716429Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_1ead22dc070c04dc_.log
2025-12-04T10:40:50.8717973Z Running 4 items in this shard: test/dynamo/test_nops.py::NopTests::test1, test/dynamo/test_nops.py::NopTests::test2, test/dynamo/test_nops.py::NopTests::test3, test/dynamo/test_nops.py::NopTests::test_extended_args
2025-12-04T10:40:50.8718934Z 
2025-12-04T10:40:50.8719227Z Finished dynamo/test_nops 1/1 ... [2025-12-04 10:40:50.871303][5336.061939462], took 0.07min
2025-12-04T10:40:50.8784096Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_nops/dynamo.test_nops-0b28ae4e52975087.xml
2025-12-04T10:40:50.9102818Z Running dynamo/test_export_mutations 1/1 ... [2025-12-04 10:40:50.910000][5336.100636169]
2025-12-04T10:40:50.9103423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:50.9107456Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_export_mutations.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:50.910379]
2025-12-04T10:40:55.1809895Z 
2025-12-04T10:40:55.1810871Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_ac4816a87e380914_.log
2025-12-04T10:40:55.1814302Z Running 5 items in this shard: test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_1, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_2, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_3, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_4, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_positive_1
2025-12-04T10:40:55.1817050Z 
2025-12-04T10:40:55.1817392Z Finished dynamo/test_export_mutations 1/1 ... [2025-12-04 10:40:55.180818][5340.371453796], took 0.07min
2025-12-04T10:40:55.1879939Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_export_mutations/dynamo.test_export_mutations-a1f7e85bb9e3571d.xml
2025-12-04T10:40:55.2420996Z Running inductor/test_config 1/1 ... [2025-12-04 10:40:55.241793][5340.432428945]
2025-12-04T10:40:55.2421501Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:55.2424750Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_config.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:40:55.242197]
2025-12-04T10:41:08.5261243Z 
2025-12-04T10:41:08.5262664Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_e10f81fe32dda550_.log
2025-12-04T10:41:08.5273360Z Running 14 items in this shard: test/inductor/test_config.py::TestInductorConfig::test_api_options, test/inductor/test_config.py::TestInductorConfig::test_codegen_skips_custom_passes, test/inductor/test_config.py::TestInductorConfig::test_compile_api, test/inductor/test_config.py::TestInductorConfig::test_compile_api_passes_config, test/inductor/test_config.py::TestInductorConfig::test_get_compiler_config, test/inductor/test_config.py::TestInductorConfig::test_hasattr, test/inductor/test_config.py::TestInductorConfig::test_invalid_backend, test/inductor/test_config.py::TestInductorConfig::test_invalid_names, test/inductor/test_config.py::TestInductorConfig::test_non_inductor_backend, test/inductor/test_config.py::TestInductorConfig::test_options_do_something, test/inductor/test_config.py::TestInductorConfig::test_patch, test/inductor/test_config.py::TestInductorConfig::test_save_load, test/inductor/test_config.py::TestInductorConfig::test_select_decomp_table_fallback_embedding_bag_byte_unpack, test/inductor/test_config.py::TestInductorConfig::test_set
2025-12-04T10:41:08.5283272Z 
2025-12-04T10:41:08.5283754Z Finished inductor/test_config 1/1 ... [2025-12-04 10:41:08.525930][5353.716564393], took 0.22min
2025-12-04T10:41:08.5333100Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_config/inductor.test_config-c72db2d17669d0f3.xml
2025-12-04T10:41:08.6103383Z Running dynamo/test_global 1/1 ... [2025-12-04 10:41:08.609972][5353.800606607]
2025-12-04T10:41:08.6104163Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:08.6107654Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_global.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:41:08.610392]
2025-12-04T10:41:20.5433372Z 
2025-12-04T10:41:20.5434605Z dynamo/test_global 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_global_1.1_ce9a98f10ac78292_.log
2025-12-04T10:41:20.5438796Z Running 12 items in this shard: test/dynamo/test_global.py::TestGlobals::test_store_global_1, test/dynamo/test_global.py::TestGlobals::test_store_global_2, test/dynamo/test_global.py::TestGlobals::test_store_global_cross_file, test/dynamo/test_global.py::TestGlobals::test_store_global_crossfile_inline, test/dynamo/test_global.py::TestGlobals::test_store_global_dict, test/dynamo/test_global.py::TestGlobals::test_store_global_dict_2, test/dynamo/test_global.py::TestGlobals::test_store_global_inline_1, test/dynamo/test_global.py::TestGlobals::test_store_global_inline_2, test/dynamo/test_global.py::TestGlobals::test_store_global_list, test/dynamo/test_global.py::TestGlobals::test_store_global_list_2, test/dynamo/test_global.py::TestGlobals::test_store_global_new, test/dynamo/test_global.py::TestGlobals::test_store_global_object
2025-12-04T10:41:20.5442436Z 
2025-12-04T10:41:20.5442729Z Finished dynamo/test_global 1/1 ... [2025-12-04 10:41:20.543123][5365.733759042], took 0.20min
2025-12-04T10:41:20.5506191Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_global/dynamo.test_global-84940cc30f624d81.xml
2025-12-04T10:41:20.6321108Z Running inductor/test_ordered_set 1/1 ... [2025-12-04 10:41:20.631820][5365.822455661]
2025-12-04T10:41:20.6321658Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:20.6324646Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ordered_set.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:41:20.632174]
2025-12-04T10:41:26.8558263Z 
2025-12-04T10:41:26.8559541Z inductor/test_ordered_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ordered_set_1.1_286ed88f6c11087c_.log
2025-12-04T10:41:26.8697607Z Running 401 items in this shard: test/inductor/test_ordered_set.py::TestJointOps::test_and, test/inductor/test_ordered_set.py::TestJointOps::test_badcmp, test/inductor/test_ordered_set.py::TestJointOps::test_container_iterator, test/inductor/test_ordered_set.py::TestJointOps::test_contains, test/inductor/test_ordered_set.py::TestJointOps::test_cyclical_repr, test/inductor/test_ordered_set.py::TestJointOps::test_deepcopy, test/inductor/test_ordered_set.py::TestJointOps::test_difference, test/inductor/test_ordered_set.py::TestJointOps::test_do_not_rehash_dict_keys, test/inductor/test_ordered_set.py::TestJointOps::test_equality, test/inductor/test_ordered_set.py::TestJointOps::test_free_after_iterating, test/inductor/test_ordered_set.py::TestJointOps::test_gc, test/inductor/test_ordered_set.py::TestJointOps::test_intersection, test/inductor/test_ordered_set.py::TestJointOps::test_isdisjoint, test/inductor/test_ordered_set.py::TestJointOps::test_iterator_pickling, test/inductor/test_ordered_set.py::TestJointOps::test_len, test/inductor/test_ordered_set.py::TestJointOps::test_new_or_init, test/inductor/test_ordered_set.py::TestJointOps::test_or, test/inductor/test_ordered_set.py::TestJointOps::test_pickling, test/inductor/test_ordered_set.py::TestJointOps::test_setOfFrozensets, test/inductor/test_ordered_set.py::TestJointOps::test_sub, test/inductor/test_ordered_set.py::TestJointOps::test_sub_and_super, test/inductor/test_ordered_set.py::TestJointOps::test_subclass_with_custom_hash, test/inductor/test_ordered_set.py::TestJointOps::test_symmetric_difference, test/inductor/test_ordered_set.py::TestJointOps::test_union, test/inductor/test_ordered_set.py::TestJointOps::test_uniquification, test/inductor/test_ordered_set.py::TestJointOps::test_xor, test/inductor/test_ordered_set.py::TestSet::test_add, test/inductor/test_ordered_set.py::TestSet::test_and, test/inductor/test_ordered_set.py::TestSet::test_badcmp, test/inductor/test_ordered_set.py::TestSet::test_clear, test/inductor/test_ordered_set.py::TestSet::test_constructor_identity, test/inductor/test_ordered_set.py::TestSet::test_container_iterator, test/inductor/test_ordered_set.py::TestSet::test_contains, test/inductor/test_ordered_set.py::TestSet::test_copy, test/inductor/test_ordered_set.py::TestSet::test_cyclical_repr, test/inductor/test_ordered_set.py::TestSet::test_deepcopy, test/inductor/test_ordered_set.py::TestSet::test_difference, test/inductor/test_ordered_set.py::TestSet::test_difference_update, test/inductor/test_ordered_set.py::TestSet::test_discard, test/inductor/test_ordered_set.py::TestSet::test_do_not_rehash_dict_keys, test/inductor/test_ordered_set.py::TestSet::test_equality, test/inductor/test_ordered_set.py::TestSet::test_free_after_iterating, test/inductor/test_ordered_set.py::TestSet::test_gc, test/inductor/test_ordered_set.py::TestSet::test_hash, test/inductor/test_ordered_set.py::TestSet::test_iand, test/inductor/test_ordered_set.py::TestSet::test_init, test/inductor/test_ordered_set.py::TestSet::test_inplace_on_self, test/inductor/test_ordered_set.py::TestSet::test_intersection, test/inductor/test_ordered_set.py::TestSet::test_intersection_update, test/inductor/test_ordered_set.py::TestSet::test_ior, test/inductor/test_ordered_set.py::TestSet::test_isdisjoint, test/inductor/test_ordered_set.py::TestSet::test_isub, test/inductor/test_ordered_set.py::TestSet::test_iterator_pickling, test/inductor/test_ordered_set.py::TestSet::test_ixor, test/inductor/test_ordered_set.py::TestSet::test_len, test/inductor/test_ordered_set.py::TestSet::test_new_or_init, test/inductor/test_ordered_set.py::TestSet::test_or, test/inductor/test_ordered_set.py::TestSet::test_pickling, test/inductor/test_ordered_set.py::TestSet::test_pop, test/inductor/test_ordered_set.py::TestSet::test_remove, test/inductor/test_ordered_set.py::TestSet::test_remove_keyerror_set, test/inductor/test_ordered_set.py::TestSet::test_remove_keyerror_unpacking, test/inductor/test_ordered_set.py::TestSet::test_rich_compare, test/inductor/test_ordered_set.py::TestSet::test_setOfFrozensets, test/inductor/test_ordered_set.py::TestSet::test_set_literal, test/inductor/test_ordered_set.py::TestSet::test_set_literal_evaluation_order, test/inductor/test_ordered_set.py::TestSet::test_set_literal_insertion_order, test/inductor/test_ordered_set.py::TestSet::test_sub, test/inductor/test_ordered_set.py::TestSet::test_sub_and_super, test/inductor/test_ordered_set.py::TestSet::test_subclass_with_custom_hash, test/inductor/test_ordered_set.py::TestSet::test_symmetric_difference, test/inductor/test_ordered_set.py::TestSet::test_symmetric_difference_update, test/inductor/test_ordered_set.py::TestSet::test_union, test/inductor/test_ordered_set.py::TestSet::test_uniquification, test/inductor/test_ordered_set.py::TestSet::test_update, test/inductor/test_ordered_set.py::TestSet::test_weakref, test/inductor/test_ordered_set.py::TestSet::test_xor, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_length, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_in, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_length, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_not_in, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_in, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_length, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_not_in, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_length, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsString::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsString::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsString::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsString::test_length, test/inductor/test_ordered_set.py::TestBasicOpsString::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsString::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsString::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_length, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_length, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_union_empty, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_changingSizeWhileIterating, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_instanceWithException, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_instancesWithoutException, test/inductor/test_ordered_set.py::TestSetOfSets::test_constructor, test/inductor/test_ordered_set.py::TestBinaryOps::test_eq, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_superset, test/inductor/test_ordered_set.py::TestMutate::test_add_absent, test/inductor/test_ordered_set.py::TestMutate::test_add_present, test/inductor/test_ordered_set.py::TestMutate::test_add_until_full, test/inductor/test_ordered_set.py::TestMutate::test_clear, test/inductor/test_ordered_set.py::TestMutate::test_discard_absent, test/inductor/test_ordered_set.py::TestMutate::test_discard_present, test/inductor/test_ordered_set.py::TestMutate::test_pop, test/inductor/test_ordered_set.py::TestMutate::test_remove_absent, test/inductor/test_ordered_set.py::TestMutate::test_remove_present, test/inductor/test_ordered_set.py::TestMutate::test_remove_until_empty, test/inductor/test_ordered_set.py::TestMutate::test_update_empty_tuple, test/inductor/test_ordered_set.py::TestMutate::test_update_unit_tuple_non_overlap, test/inductor/test_ordered_set.py::TestMutate::test_update_unit_tuple_overlap, test/inductor/test_ordered_set.py::TestSubsets::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEqualEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEqualNonEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEmptyNonEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetPartial::test_issubset, test/inductor/test_ordered_set.py::TestSubsetNonOverlap::test_issubset, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_union, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_union, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_union, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_union, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsString::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_union, test/inductor/test_ordered_set.py::TestOnlySetsString::test_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_union, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_update_operator, test/inductor/test_ordered_set.py::TestCopyingEmpty::test_copy, test/inductor/test_ordered_set.py::TestCopyingEmpty::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingSingleton::test_copy, test/inductor/test_ordered_set.py::TestCopyingSingleton::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingTriple::test_copy, test/inductor/test_ordered_set.py::TestCopyingTriple::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingTuple::test_copy, test/inductor/test_ordered_set.py::TestCopyingTuple::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingNested::test_copy, test/inductor/test_ordered_set.py::TestCopyingNested::test_deep_copy, test/inductor/test_ordered_set.py::TestIdentities::test_binopsVsSubsets, test/inductor/test_ordered_set.py::TestIdentities::test_commutativity, test/inductor/test_ordered_set.py::TestIdentities::test_exclusion, test/inductor/test_ordered_set.py::TestIdentities::test_summations, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_constructor, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_inline_methods, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_inplace_methods, test/inductor/test_ordered_set.py::TestWeirdBugs::test_8420_set_merge, test/inductor/test_ordered_set.py::TestWeirdBugs::test_iter_and_mutate, test/inductor/test_ordered_set.py::TestWeirdBugs::test_merge_and_mutate, test/inductor/test_ordered_set.py::TestGraphs::test_cube, test/inductor/test_ordered_set.py::TestGraphs::test_cuboctahedron
2025-12-04T10:41:26.8830942Z 
2025-12-04T10:41:26.8831291Z Finished inductor/test_ordered_set 1/1 ... [2025-12-04 10:41:26.856481][5372.047112414], took 0.10min
2025-12-04T10:41:26.8832485Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_ordered_set/inductor.test_ordered_set-315169fe8d92903c.xml
2025-12-04T10:41:26.9592378Z Running inductor/test_pallas 1/1 ... [2025-12-04 10:41:26.958930][5372.149564099]
2025-12-04T10:41:26.9592889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:26.9597070Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pallas.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:41:26.959424]
2025-12-04T10:41:35.2102566Z 
2025-12-04T10:41:35.2103806Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_b0b6de150bcae2d7_.log
2025-12-04T10:41:35.2104569Z 
2025-12-04T10:41:35.2104879Z Finished inductor/test_pallas 1/1 ... [2025-12-04 10:41:35.210059][5380.400689304], took 0.14min
2025-12-04T10:41:35.2179916Z Running dynamo/test_install_free_tensors 1/1 ... [2025-12-04 10:41:35.217781][5380.408418947]
2025-12-04T10:41:35.2180546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:35.2184068Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:41:35.218162]
2025-12-04T10:41:52.8097288Z 
2025-12-04T10:41:52.8098300Z 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_2763be39ef3aaa18_.log
2025-12-04T10:41:52.8110378Z Running 25 items in this shard: test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_breadth_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_nested_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_nets_as_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_buffer_and_param_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_buffer_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_params_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_resnet_structure, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_simple_batchnorm, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_transformer, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_dict_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_global_tensor_export, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_list_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_modify_net_state, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_nested_list_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_nonlocal_closure, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_buffer_and_param_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_buffer_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_params_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_resnet_structure, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_simple_batchnorm, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_simple_linear, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_tensors_as_nn_attr, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_transformer, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_user_defined_object
2025-12-04T10:41:52.8121832Z 
2025-12-04T10:41:52.8122201Z Finished dynamo/test_install_free_tensors 1/1 ... [2025-12-04 10:41:52.809556][5398.000192283], took 0.29min
2025-12-04T10:41:52.8172030Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_install_free_tensors/dynamo.test_install_free_tensors-87207c816eed2a89.xml
2025-12-04T10:41:52.9257158Z Running dynamo/test_autograd_function 1/1 ... [2025-12-04 10:41:52.925429][5398.116064718]
2025-12-04T10:41:52.9257727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:52.9261320Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_autograd_function.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:41:52.925817]
2025-12-04T10:42:05.4088120Z 
2025-12-04T10:42:05.4089656Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_b9782dabcf8c9d3a_.log
2025-12-04T10:42:05.4126670Z Running 41 items in this shard: test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_allow_in_graph, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_amp_custom_fwd_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_assert_is_contiguous_after_matmul, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_assert_is_contiguous_on_grad_output_directly, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_autograd_function_equivalence, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_autograd_function_has_graph_break, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_backward_returns_none_for_tensor_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_classmethod, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_data_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_default_values, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_enum_arg, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_forward_returns_constant, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_context_mark_and_save, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_context_save_and_mark, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_with_bound_free_variable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_fwd_no_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_fwd_propogation_correctness, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_linear_setup_context, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_mark_multi_output_non_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_mark_non_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_materialize_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_multi_output, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_multiple_different_non_tensor_inputs, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_needs_input_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_nonlocal_list_mutation_in_autograd_function, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_once_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_print_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_repeated_save_for_backward_calls, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_requires_grad_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_save_for_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_set_materialize_grads_no_graph_break, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smoke_from_test_autograd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smuggle_symint_issue_111031, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smuggle_tensor_and_complex_structures, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_stride_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tensor_list_as_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tensor_subclass_intermediary_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_triton_kernel_basic, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_triton_kernel_multiple_out, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tuple_arg, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_user_defined_object_as_input
2025-12-04T10:42:05.4162368Z 
2025-12-04T10:42:05.4162956Z Finished dynamo/test_autograd_function 1/1 ... [2025-12-04 10:42:05.408666][5410.599298236], took 0.21min
2025-12-04T10:42:05.4165599Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_autograd_function/dynamo.test_autograd_function-55d7502a31b46367.xml
2025-12-04T10:42:05.5303404Z Running inductor/test_codecache 1/1 ... [2025-12-04 10:42:05.530052][5410.720689199]
2025-12-04T10:42:05.5304261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:42:05.5307614Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_codecache.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:42:05.530419]
2025-12-04T10:44:16.1934409Z 
2025-12-04T10:44:16.1935437Z inductor/test_codecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codecache_1.1_e6842d07291dff44_.log
2025-12-04T10:44:16.2082234Z Running 247 items in this shard: test/inductor/test_codecache.py::TestPyCodeCache::test_editable_cached_wrapper, test/inductor/test_codecache.py::TestPyCodeCache::test_linemaps_empty, test/inductor/test_codecache.py::TestFxGraphCache::test_async_compile_cache, test/inductor/test_codecache.py::TestFxGraphCache::test_auto_functionalized_caching_variant_v1, test/inductor/test_codecache.py::TestFxGraphCache::test_auto_functionalized_caching_variant_v2, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_clear, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_guard, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_guard_overspec, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_False_device_cpu_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_False_device_cpu_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_False_device_cuda_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_False_device_cuda_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_True_device_cpu_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_True_device_cpu_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_True_device_cuda_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_caching_precompile_dynamic_True_device_cuda_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cpu_bfloat16_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cpu_bfloat16_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cpu_float32_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cpu_float32_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cuda_bfloat16_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cuda_bfloat16_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cuda_float32_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_device_cuda_float32_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_empty, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_generic, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_pgo, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_pgo_swap_file_names, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_hot_load_repeat, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True_grad_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float32_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float32_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float64_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cpu_float64_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float32_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float32_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float64_dynamic_False, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_model_device_cuda_float64_dynamic_True, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_int32_bounds_device_cuda_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_int32_bounds_device_cuda_float16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cpu_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cpu_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cuda_bfloat16, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_load_with_guards_static_bounds_device_cuda_float32, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_with_nt, test/inductor/test_codecache.py::TestFxGraphCache::test_cache_with_symint_non_arg_guard, test/inductor/test_codecache.py::TestFxGraphCache::test_constant_handling_device_cpu, test/inductor/test_codecache.py::TestFxGraphCache::test_constant_handling_device_cuda, test/inductor/test_codecache.py::TestFxGraphCache::test_flex_attention_caching, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cpu_inlinable_False, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cpu_inlinable_True, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cuda_inlinable_False, test/inductor/test_codecache.py::TestFxGraphCache::test_freezing_device_cuda_inlinable_True, test/inductor/test_codecache.py::TestFxGraphCache::test_generated_kernel_count, test/inductor/test_codecache.py::TestFxGraphCache::test_higher_order_op_bypass_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_higher_order_op_bypass_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_inductor_counters, test/inductor/test_codecache.py::TestFxGraphCache::test_no_arguments_tensor_device_guards, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cpu_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_bfloat16_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_False_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_remote_cache_load_function_device_cuda_float32_dynamic_True_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_tensor_device_guards_cpu_tensor, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_higher_order_op_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_higher_order_op_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_higher_order_op_different_configs_bundle_triton_False, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_higher_order_op_different_configs_bundle_triton_True, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_op_bundle_triton_False_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_op_bundle_triton_False_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_op_bundle_triton_True_use_static_cuda_launcher_False, test/inductor/test_codecache.py::TestFxGraphCache::test_triton_op_bundle_triton_True_use_static_cuda_launcher_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_dynamic_shapes_from_example_inputs_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_dynamic_shapes_from_example_inputs_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_is_aot_False_dynamic_shapes_from_graph, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_is_aot_False_dynamic_shapes_from_tracing_context, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_is_aot_True_dynamic_shapes_from_graph, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_is_aot_True_dynamic_shapes_from_tracing_context, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_static_shapes_dynamic_shapes_from_example_inputs, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_static_shapes_dynamic_shapes_from_graph, test/inductor/test_codecache.py::TestStandaloneCompile::test_backend_static_shapes_dynamic_shapes_from_tracing_context, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_False_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_False_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_False_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_False_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_True_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_True_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_True_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_binary_dynamic_True_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_False_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_False_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_False_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_False_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_True_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_True_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_True_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cpu_format_unpacked_dynamic_True_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_False_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_False_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_False_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_False_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_True_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_True_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_True_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_binary_dynamic_True_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_False_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_False_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_False_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_False_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_True_graph_partition_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_True_graph_partition_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_True_graph_partition_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_basic_device_cuda_format_unpacked_dynamic_True_graph_partition_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_call_in_backend_dynamic_False_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_call_in_backend_dynamic_False_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_call_in_backend_dynamic_True_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_call_in_backend_dynamic_True_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_custom_pass_handling, test/inductor/test_codecache.py::TestStandaloneCompile::test_different_process, test/inductor/test_codecache.py::TestStandaloneCompile::test_dynamic_shapes_from_example_inputs_is_aot_False_config_patches_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_dynamic_shapes_from_example_inputs_is_aot_False_config_patches_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_dynamic_shapes_from_example_inputs_is_aot_True_config_patches_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_dynamic_shapes_from_example_inputs_is_aot_True_config_patches_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_dynamic_shapes_from_graph_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_dynamic_shapes_from_graph_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_modify_unpacked_file_device_cpu, test/inductor/test_codecache.py::TestStandaloneCompile::test_modify_unpacked_file_device_cuda, test/inductor/test_codecache.py::TestStandaloneCompile::test_save_in_new_path, test/inductor/test_codecache.py::TestStandaloneCompile::test_split_module_is_aot_False, test/inductor/test_codecache.py::TestStandaloneCompile::test_split_module_is_aot_True, test/inductor/test_codecache.py::TestStandaloneCompile::test_static_shapes_is_aot_False_dynamic_shapes_from_example_inputs, test/inductor/test_codecache.py::TestStandaloneCompile::test_static_shapes_is_aot_False_dynamic_shapes_from_graph, test/inductor/test_codecache.py::TestStandaloneCompile::test_static_shapes_is_aot_True_dynamic_shapes_from_example_inputs, test/inductor/test_codecache.py::TestStandaloneCompile::test_static_shapes_is_aot_True_dynamic_shapes_from_graph, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_bypass_unsupported, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_get_hash_for_files, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_config_changes, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_custom_backend_config, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_custom_backend_pass, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_custom_partitioner_fn, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_custom_passes, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_fake_tensors, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_kwargs, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_hash_private_config_changes, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_non_serializable_custom_passes_causes_cache_miss, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_parameter_constants, test/inductor/test_codecache.py::TestFxGraphCacheHashing::test_stable_strings, test/inductor/test_codecache.py::TestCudaCompileCommand::test_cuda_compile_command, test/inductor/test_codecache.py::TestAutotuneCache::test_autotune_cache, test/inductor/test_codecache.py::TestAutotuneCache::test_autotune_cache_warm_start, test/inductor/test_codecache.py::TestAutotuneCache::test_bundled_autotune_remote_cache, test/inductor/test_codecache.py::TestAutotuneCache::test_modified_autotune_cache_remote_cache_False, test/inductor/test_codecache.py::TestAutotuneCache::test_modified_autotune_cache_remote_cache_True, test/inductor/test_codecache.py::TestRemoteAOTAutogradCache::test_autograd_remote_cache, test/inductor/test_codecache.py::TestRemoteAOTAutogradCache::test_autograd_remote_lazy_backward, test/inductor/test_codecache.py::TestUtils::test_force_disable_coordinate_descent, test/inductor/test_codecache.py::TestUtils::test_fresh_cache
2025-12-04T10:44:16.2233445Z 
2025-12-04T10:44:16.2233797Z Finished inductor/test_codecache 1/1 ... [2025-12-04 10:44:16.193803][5541.38443762], took 2.18min
2025-12-04T10:44:16.2234967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_codecache/inductor.test_codecache-b4a18e4331c0acc0.xml
2025-12-04T10:44:16.2881814Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:44:16.287884][5541.478520317]
2025-12-04T10:44:16.2883117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:16.2886001Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:44:16.288296]
2025-12-04T10:44:24.2876445Z 
2025-12-04T10:44:24.2877492Z inductor/test_needs_exact_strides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_needs_exact_strides_1.1_450e9313749957f0_.log
2025-12-04T10:44:24.2878369Z 
2025-12-04T10:44:24.2878754Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:44:24.287411][5549.478048728], took 0.13min
2025-12-04T10:44:24.2957449Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:44:24.295535][5549.486171484]
2025-12-04T10:44:24.2958013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:24.2961498Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:44:24.295902]
2025-12-04T10:44:28.7168862Z 
2025-12-04T10:44:28.7170060Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_c3b79c3a679bf033_.log
2025-12-04T10:44:28.7172559Z Running 4 items in this shard: test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_example_inputs, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_false, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_true, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_torchscript
2025-12-04T10:44:28.7174446Z 
2025-12-04T10:44:28.7174815Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:44:28.716647][5553.907285035], took 0.07min
2025-12-04T10:44:28.7247293Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-c53539e8dbcf1f34.xml
2025-12-04T10:44:28.8016094Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 10:44:28.801284][5553.991917976]
2025-12-04T10:44:28.8016660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:28.8019490Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:44:28.801677]
2025-12-04T10:44:36.7731364Z 
2025-12-04T10:44:36.7732504Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_9e5daef544e7eda3_.log
2025-12-04T10:44:36.7733341Z 
2025-12-04T10:44:36.7733671Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 10:44:36.772890][5561.963527296], took 0.13min
2025-12-04T10:44:36.7813746Z Running inductor/test_caching 1/1 ... [2025-12-04 10:44:36.781151][5561.971787874]
2025-12-04T10:44:36.7814268Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:36.7817462Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_caching.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:44:36.781496]
2025-12-04T10:46:25.9489268Z 
2025-12-04T10:46:25.9491000Z inductor/test_caching 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_caching_1.1_fafb1d79ad29f046_.log
2025-12-04T10:46:25.9692262Z Running 169 items in this shard: test/inductor/test_caching.py::ConfigTest::test_versioned_config_env_var_override_enabled_False, test/inductor/test_caching.py::ConfigTest::test_versioned_config_env_var_override_enabled_True, test/inductor/test_caching.py::ConfigTest::test_versioned_config_jk_failure, test/inductor/test_caching.py::ConfigTest::test_versioned_config_oss_default_enabled_False, test/inductor/test_caching.py::ConfigTest::test_versioned_config_oss_default_enabled_True, test/inductor/test_caching.py::ConfigTest::test_versioned_config_version_check_enabled_False, test/inductor/test_caching.py::ConfigTest::test_versioned_config_version_check_enabled_True, test/inductor/test_caching.py::ContextTest::test_all_or_none_isolation_context_all_runtime_context_False_all_compile_context_False, test/inductor/test_caching.py::ContextTest::test_all_or_none_isolation_context_all_runtime_context_False_all_compile_context_True, test/inductor/test_caching.py::ContextTest::test_all_or_none_isolation_context_all_runtime_context_True_all_compile_context_False, test/inductor/test_caching.py::ContextTest::test_all_or_none_isolation_context_all_runtime_context_True_all_compile_context_True, test/inductor/test_caching.py::ContextTest::test_isolation_key_is_distinct, test/inductor/test_caching.py::ContextTest::test_isolation_key_is_repeatable, test/inductor/test_caching.py::ContextTest::test_select_compile_context_matches_forms_of_context, test/inductor/test_caching.py::ContextTest::test_select_runtime_context_matches_forms_of_context, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected0, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected1, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected10, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected2, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected3, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected4, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected5, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected6, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected7, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected8, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected0_compile_forms_of_context_selected9, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected0, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected1, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected10, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected2, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected3, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected4, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected5, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected6, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected7, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected8, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected1_compile_forms_of_context_selected9, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected0, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected1, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected10, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected2, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected3, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected4, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected5, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected6, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected7, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected8, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected2_compile_forms_of_context_selected9, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected0, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected1, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected10, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected2, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected3, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected4, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected5, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected6, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected7, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected8, test/inductor/test_caching.py::ContextTest::test_selected_isolation_context_runtime_forms_of_context_selected3_compile_forms_of_context_selected9, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_CacheError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_CustomParamsEncoderRequiredError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_CustomResultDecoderRequiredError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_CustomResultEncoderRequiredError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_DeterministicCachingRequiresStrongConsistencyError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_FileLockTimeoutError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_KeyEncodingError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_KeyPicklingError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_LockTimeoutError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_SystemError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_UserError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_ValueDecodingError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_ValueEncodingError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_ValuePicklingError, test/inductor/test_caching.py::ExceptionsTest::test_exception_is_CacheError_exception_typename_ValueUnPicklingError, test/inductor/test_caching.py::ExceptionsTest::test_exception_other, test/inductor/test_caching.py::ImplementationsTest::test_get_impl_typename__InMemoryCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_get_impl_typename__OnDiskCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_insert_impl_typename__InMemoryCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_insert_impl_typename__OnDiskCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_insert_will_not_overwrite_impl_typename__InMemoryCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_insert_will_not_overwrite_impl_typename__OnDiskCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_key_encoding_impl_typename__InMemoryCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_key_encoding_impl_typename__OnDiskCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_value_decoding_impl_typename__InMemoryCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_value_decoding_impl_typename__OnDiskCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_value_encoding_impl_typename__InMemoryCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_value_encoding_impl_typename__OnDiskCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_version_mismatch_impl_typename__InMemoryCacheImpl, test/inductor/test_caching.py::ImplementationsTest::test_version_mismatch_impl_typename__OnDiskCacheImpl, test/inductor/test_caching.py::InterfacesTest::test_caching_module_disabled_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_caching_module_disabled_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_custom_ischema_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_custom_ischema_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_custom_params_encoder_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_custom_params_encoder_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_custom_result_encoder_and_decoder_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_custom_result_encoder_and_decoder_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_defaults_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_defaults_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_deterministic_caching_disabled, test/inductor/test_caching.py::InterfacesTest::test_params_encoder_required_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_params_encoder_required_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_result_encoder_and_decoder_required_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_result_encoder_and_decoder_required_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_result_encoder_required_intf_typename__DeterministicCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_result_encoder_required_intf_typename__FastCacheIntf, test/inductor/test_caching.py::InterfacesTest::test_strictly_cached_determinism, test/inductor/test_caching.py::InterfacesTest::test_strictly_pre_populated_determinism, test/inductor/test_caching.py::LocksTest::test_BLOCKING, test/inductor/test_caching.py::LocksTest::test_BLOCKING_WITH_TIMEOUT, test/inductor/test_caching.py::LocksTest::test_NON_BLOCKING, test/inductor/test_caching.py::LocksTest::test_acquire_many_impl_locks_with_timeout_impl_typename_combos0, test/inductor/test_caching.py::LocksTest::test_acquire_many_impl_locks_with_timeout_impl_typename_combos1, test/inductor/test_caching.py::LocksTest::test_acquire_many_impl_locks_with_timeout_impl_typename_combos2, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_safe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_safe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_safe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_safe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_FileLock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_safe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_WITH_TIMEOUT_acquisition_mode_unsafe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_safe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_safe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_safe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_safe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_BLOCKING_acquisition_mode_unsafe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_safe_release_unlocked, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_after_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_before_timeout, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_never, test/inductor/test_caching.py::LocksTest::test_acquire_with_timeout_lock_typename_Lock_lock_timeout_NON_BLOCKING_acquisition_mode_unsafe_release_unlocked, test/inductor/test_caching.py::UtilsTest::test_lru_cache, test/inductor/test_caching.py::UtilsTest::test_try_pickle_key_pickle_able_False, test/inductor/test_caching.py::UtilsTest::test_try_pickle_key_pickle_able_True, test/inductor/test_caching.py::UtilsTest::test_try_pickle_value_pickle_able_False, test/inductor/test_caching.py::UtilsTest::test_try_pickle_value_pickle_able_True, test/inductor/test_caching.py::UtilsTest::test_try_unpickle_value_unpickle_able_False, test/inductor/test_caching.py::UtilsTest::test_try_unpickle_value_unpickle_able_True
2025-12-04T10:46:25.9891339Z 
2025-12-04T10:46:25.9891850Z Finished inductor/test_caching 1/1 ... [2025-12-04 10:46:25.949184][5671.139811295], took 1.82min
2025-12-04T10:46:25.9894185Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_caching/inductor.test_caching-c0363b8b4319a0b9.xml
2025-12-04T10:46:26.0330961Z Running export/test_hop 1/1 ... [2025-12-04 10:46:26.032787][5671.223423064]
2025-12-04T10:46:26.0331705Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:26.0335622Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:46:26.033195]
2025-12-04T10:46:30.3457480Z 
2025-12-04T10:46:30.3458668Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_770c12f7778277cb_.log
2025-12-04T10:46:30.3459474Z Running 0 items in this shard:
2025-12-04T10:46:30.3459690Z 
2025-12-04T10:46:30.3459966Z Finished export/test_hop 1/1 ... [2025-12-04 10:46:30.345550][5675.536186745], took 0.07min
2025-12-04T10:46:30.3540468Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_hop/export.test_hop-5a1628d60c928e05.xml
2025-12-04T10:46:30.3827969Z Running export/test_upgrader 1/1 ... [2025-12-04 10:46:30.382475][5675.573110758]
2025-12-04T10:46:30.3828478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:30.3831317Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_upgrader.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:46:30.382863]
2025-12-04T10:46:34.0539658Z 
2025-12-04T10:46:34.0540629Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_43edf372a4a4f2ab_.log
2025-12-04T10:46:34.0543806Z Running 6 items in this shard: test/export/test_upgrader.py::TestUpgrader::test_field_renaming_chain_from_v0_complete, test/export/test_upgrader.py::TestUpgrader::test_field_renaming_chain_from_v0_missing_field, test/export/test_upgrader.py::TestUpgrader::test_field_renaming_from_v1_partial_chain, test/export/test_upgrader.py::TestUpgrader::test_nn_module_stack_error_handling_invalid_type, test/export/test_upgrader.py::TestUpgrader::test_nn_module_stack_transformation_from_v0, test/export/test_upgrader.py::TestUpgrader::test_nodes_without_metadata_handled_gracefully
2025-12-04T10:46:34.0546789Z 
2025-12-04T10:46:34.0547096Z Finished export/test_upgrader 1/1 ... [2025-12-04 10:46:34.053790][5679.244425889], took 0.06min
2025-12-04T10:46:34.0623012Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_upgrader/export.test_upgrader-3685e4657228e2c9.xml
2025-12-04T10:46:34.0976990Z Running dynamo/test_hooks 1/1 ... [2025-12-04 10:46:34.097423][5679.288058537]
2025-12-04T10:46:34.0977503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:34.0980768Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_hooks.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:46:34.097804]
2025-12-04T10:46:59.8510580Z 
2025-12-04T10:46:59.8511506Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_d97883a80dc94c54_.log
2025-12-04T10:46:59.8524284Z Running 34 items in this shard: test/dynamo/test_hooks.py::HooksTests::test_complex_state_mutation_in_intermediary_hooks_same_on_inductor, test/dynamo/test_hooks.py::HooksTests::test_complex_state_mutation_in_intermediary_hooks_same_on_inductor_with_graph_break, test/dynamo/test_hooks.py::HooksTests::test_functools_arg_vary, test/dynamo/test_hooks.py::HooksTests::test_global_module_forward_pre_hook, test/dynamo/test_hooks.py::HooksTests::test_hook_with_closure, test/dynamo/test_hooks.py::HooksTests::test_hook_with_nested_closure, test/dynamo/test_hooks.py::HooksTests::test_input_hooks_same, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks_same_on_aot_eager, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks_same_on_inductor, test/dynamo/test_hooks.py::HooksTests::test_intermediate_hook_with_closure_aot, test/dynamo/test_hooks.py::HooksTests::test_intermediate_hook_with_closure_eager, test/dynamo/test_hooks.py::HooksTests::test_nnmodule_hook_guards, test/dynamo/test_hooks.py::HooksTests::test_no_recompile_on_hook_identity_change, test/dynamo/test_hooks.py::HooksTests::test_no_recompile_on_same_hook, test/dynamo/test_hooks.py::HooksTests::test_post_acc_grad_hook, test/dynamo/test_hooks.py::HooksTests::test_recompile, test/dynamo/test_hooks.py::HooksTests::test_register_hook_partial_guarding, test/dynamo/test_hooks.py::HooksTests::test_removed_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_local_inner, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_global_hook, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_global_hooks_handles_in_list, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_break_handle_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_break_handle_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_multi_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_repeated_handle_not_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_repeated_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_multiple_hooks, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_multiple_hooks_handles_in_list, test/dynamo/test_hooks.py::HooksTests::test_wrap_top_frame_with_hooks
2025-12-04T10:46:59.8536306Z 
2025-12-04T10:46:59.8536603Z Finished dynamo/test_hooks 1/1 ... [2025-12-04 10:46:59.850823][5705.041459933], took 0.43min
2025-12-04T10:46:59.8594220Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_hooks/dynamo.test_hooks-1a0655bef4dab3c8.xml
2025-12-04T10:46:59.9408993Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:46:59.940632][5705.131268144]
2025-12-04T10:46:59.9409541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:59.9412495Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exceptions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:46:59.941001]
2025-12-04T10:47:13.6762474Z 
2025-12-04T10:47:13.6763423Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_811ee9e7660d9712_.log
2025-12-04T10:47:13.6781772Z Running 50 items in this shard: test/dynamo/test_exceptions.py::ExceptionTests::test_atrribute_error, test/dynamo/test_exceptions.py::ExceptionTests::test_attribute_error_from_getattr, test/dynamo/test_exceptions.py::ExceptionTests::test_autocast_with_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_block_stack_cleanup, test/dynamo/test_exceptions.py::ExceptionTests::test_custom_getattr_on_module_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_dict_pop, test/dynamo/test_exceptions.py::ExceptionTests::test_dynamo_undo_kw_names, test/dynamo/test_exceptions.py::ExceptionTests::test_ensure_exception_is_active_after_try_except_block, test/dynamo/test_exceptions.py::ExceptionTests::test_ensure_exception_is_active_inside_try_except_block, test/dynamo/test_exceptions.py::ExceptionTests::test_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception3, test/dynamo/test_exceptions.py::ExceptionTests::test_exception4, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_else, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_kwargs, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_raised_from_child, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_ctx_manager, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_vars, test/dynamo/test_exceptions.py::ExceptionTests::test_handle_all_exceptions, test/dynamo/test_exceptions.py::ExceptionTests::test_isinstance_CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_key_error, test/dynamo/test_exceptions.py::ExceptionTests::test_nn_module_getattr, test/dynamo/test_exceptions.py::ExceptionTests::test_nn_reraise, test/dynamo/test_exceptions.py::ExceptionTests::test_propagate_exception_inside_ctx_manager, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_GeneratorExit, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_custom_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_custom_exception_with_args, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_finally_simple, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_None, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_None_2, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_other, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_match, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_set___context__, test/dynamo/test_exceptions.py::ExceptionTests::test_reconstruct___context__, test/dynamo/test_exceptions.py::ExceptionTests::test_reconstruct_exception_2, test/dynamo/test_exceptions.py::ExceptionTests::test_reraise, test/dynamo/test_exceptions.py::ExceptionTests::test_reraise_first_exc, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___TypeError, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___error_CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___error_RuntimeError, test/dynamo/test_exceptions.py::ExceptionTests::test_set_cause_with_arg, test/dynamo/test_exceptions.py::ExceptionTests::test_set_cause_with_arg_error, test/dynamo/test_exceptions.py::ExceptionTests::test_speculation_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_stack_trace_from_observed_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_stop_iteration, test/dynamo/test_exceptions.py::ExceptionTests::test_user_defined_exception_variable, test/dynamo/test_exceptions.py::ExceptionTests::test_user_defined_exception_with_args
2025-12-04T10:47:13.6799933Z 
2025-12-04T10:47:13.6800278Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:47:13.676089][5718.866726671], took 0.23min
2025-12-04T10:47:13.6849387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-038866f851d0a9e9.xml
2025-12-04T10:47:13.7591381Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:47:13.758852][5718.949485915]
2025-12-04T10:47:13.7591907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:13.7595640Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_generator.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:47:13.759272]
2025-12-04T10:47:21.0349662Z 
2025-12-04T10:47:21.0350681Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_b16cd6d4826396f6_.log
2025-12-04T10:47:21.0380066Z Running 78 items in this shard: test/dynamo/test_generator.py::GeneratorTests::test_cleanup_throw, test/dynamo/test_generator.py::GeneratorTests::test_deque_extendleft, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container0, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container1, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container2, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container3, test/dynamo/test_generator.py::GeneratorTests::test_dynamo_disable_generator, test/dynamo/test_generator.py::GeneratorTests::test_dynamo_disable_sub_generator, test/dynamo/test_generator.py::GeneratorTests::test_generator___contains__, test/dynamo/test_generator.py::GeneratorTests::test_generator___contains___side_effects, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_2, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_3, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_4, test/dynamo/test_generator.py::GeneratorTests::test_generator_simple, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects_graph_break, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects_graph_break_2, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_and_reconstruct_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_before_calling_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator_while_reconstructing, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_outside_generator, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator_3, test/dynamo/test_generator.py::GeneratorTests::test_islice_chain, test/dynamo/test_generator.py::GeneratorTests::test_iter, test/dynamo/test_generator.py::GeneratorTests::test_list_extend, test/dynamo/test_generator.py::GeneratorTests::test_list_zip_generator, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_tensor_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_dict_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_dict_mutation_before, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_local_var_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_object_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_object_mutation_before, test/dynamo/test_generator.py::GeneratorTests::test_return_advanced_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_exhaust_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_subgenerator, test/dynamo/test_generator.py::GeneratorTests::test_return_tuple_generator, test/dynamo/test_generator.py::GeneratorTests::test_subgenerator, test/dynamo/test_generator.py::GeneratorTests::test_subgenerator_with_side_effects, test/dynamo/test_generator.py::GeneratorTests::test_zip_generator, test/dynamo/test_generator.py::GeneratorTests::test_zip_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_zip_infinite_generator, test/dynamo/test_generator.py::GeneratorTests::test_zip_subgenerator, test/dynamo/test_generator.py::TestGeneratorSend::test_send, test/dynamo/test_generator.py::TestGeneratorSend::test_send_stop_iteration_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorSend::test_send_stop_iteration_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorClose::test_close, test/dynamo/test_generator.py::TestGeneratorClose::test_close_after_close, test/dynamo/test_generator.py::TestGeneratorClose::test_close_after_exception, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_return, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_GeneratorExit, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_exc_exc0, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_exc_exc1, test/dynamo/test_generator.py::TestGeneratorClose::test_close_handling_finally, test/dynamo/test_generator.py::TestGeneratorClose::test_close_subgen, test/dynamo/test_generator.py::TestGeneratorClose::test_close_with_side_effects, test/dynamo/test_generator.py::TestGeneratorClose::test_close_with_subgen, test/dynamo/test_generator.py::TestGeneratorClose::test_next_after_close_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorClose::test_next_after_close_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorThrow::test_exception_context_with_yield, test/dynamo/test_generator.py::TestGeneratorThrow::test_return_None_in_except_and_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_return_const_value_in_except_and_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_return_value_in_except_and_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_no_yield_after_throw, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_not_catch, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_raise_difference_exc, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_try_except_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_with_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_without_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_yield_finally
2025-12-04T10:47:21.0409458Z 
2025-12-04T10:47:21.0409765Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:47:21.034937][5726.225568447], took 0.12min
2025-12-04T10:47:21.0445531Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_generator/dynamo.test_generator-217161b87a2e290e.xml
2025-12-04T10:47:21.1246363Z Running export/test_lift_unlift 1/1 ... [2025-12-04 10:47:21.124319][5726.314952992]
2025-12-04T10:47:21.1246879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:21.1250119Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:47:21.124737]
2025-12-04T10:47:25.0951106Z 
2025-12-04T10:47:25.0952036Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_84ae178ff1fbe715_.log
2025-12-04T10:47:25.0954331Z Running 5 items in this shard: test/export/test_lift_unlift.py::TestLift::test_duplicate_constant_access, test/export/test_lift_unlift.py::TestLift::test_lift_basic, test/export/test_lift_unlift.py::TestLift::test_lift_nested, test/export/test_lift_unlift.py::TestLift::test_unlift_nonpersistent_buffer, test/export/test_lift_unlift.py::ConstantAttrMapTest::test_dict_api
2025-12-04T10:47:25.0956038Z 
2025-12-04T10:47:25.0956380Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 10:47:25.094940][5730.285576075], took 0.07min
2025-12-04T10:47:25.1046311Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-109ee67f41abdf8b.xml
2025-12-04T10:47:25.1338483Z Running export/test_verifier 1/1 ... [2025-12-04 10:47:25.133598][5730.324235687]
2025-12-04T10:47:25.1338990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:25.1342152Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:47:25.133955]
2025-12-04T10:47:30.4060660Z 
2025-12-04T10:47:30.4061651Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_5d6c91b91cbb37f6_.log
2025-12-04T10:47:30.4066046Z Running 10 items in this shard: test/export/test_verifier.py::TestVerifier::test_ep_verifier_basic, test/export/test_verifier.py::TestVerifier::test_ep_verifier_buffer_mutate, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_buffer, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_output, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_param, test/export/test_verifier.py::TestVerifier::test_verifier_basic, test/export/test_verifier.py::TestVerifier::test_verifier_call_module, test/export/test_verifier.py::TestVerifier::test_verifier_higher_order, test/export/test_verifier.py::TestVerifier::test_verifier_nested_invalid_module, test/export/test_verifier.py::TestVerifier::test_verifier_no_functional
2025-12-04T10:47:30.4069518Z 
2025-12-04T10:47:30.4069835Z Finished export/test_verifier 1/1 ... [2025-12-04 10:47:30.405900][5735.596537015], took 0.09min
2025-12-04T10:47:30.4149278Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-fcaa9282e7b28db0.xml
2025-12-04T10:47:30.4489145Z Running export/test_sparse 2/2 ... [2025-12-04 10:47:30.448622][5735.639258826]
2025-12-04T10:47:30.4489670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:30.4492541Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_sparse.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 10:47:30.448953]
2025-12-04T10:52:37.7026871Z 
2025-12-04T10:52:37.7027928Z export/test_sparse 2/2 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_2.2_b420429921a3a955_.log
2025-12-04T10:52:37.7065563Z Running 97 items in this shard: test/export/test_sparse.py::TestSparseProp::test_activation_coo, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSC
2025-12-04T10:52:37.7101768Z 
2025-12-04T10:52:37.7102116Z Finished export/test_sparse 2/2 ... [2025-12-04 10:52:37.702544][6042.893179186], took 5.12min
2025-12-04T10:52:37.7119998Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_sparse/export.test_sparse-b94caba1eb416b35.xml
2025-12-04T10:52:37.7904162Z Running xpu/test_fusion 1/1 ... [2025-12-04 10:52:37.790126][6042.980762425]
2025-12-04T10:52:37.7904688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:52:37.7907815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:52:37.790467]
2025-12-04T10:52:41.3729170Z 
2025-12-04T10:52:41.3730140Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_1e57d3e89a83815f_.log
2025-12-04T10:52:41.3731036Z Running 0 items in this shard:
2025-12-04T10:52:41.3731265Z 
2025-12-04T10:52:41.3731657Z Finished xpu/test_fusion 1/1 ... [2025-12-04 10:52:41.372736][6046.563373324], took 0.06min
2025-12-04T10:52:41.3821042Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-adb7055f8b867e0a.xml
2025-12-04T10:52:41.4038214Z Running test_expanded_weights 1/1 ... [2025-12-04 10:52:41.403556][6046.59419317]
2025-12-04T10:52:41.4038841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:52:41.4041331Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_expanded_weights.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:52:41.403884]
2025-12-04T10:52:46.1041349Z 
2025-12-04T10:52:46.1042451Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_74d134eaa6b0d3f3_.log
2025-12-04T10:52:46.1043437Z Running 0 items in this shard:
2025-12-04T10:52:46.1043659Z 
2025-12-04T10:52:46.1044079Z Finished test_expanded_weights 1/1 ... [2025-12-04 10:52:46.103941][6051.29457672], took 0.08min
2025-12-04T10:52:46.1132821Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_expanded_weights/test_expanded_weights-4375ad90fd9aaf07.xml
2025-12-04T10:52:46.1382431Z Running test_complex 1/1 ... [2025-12-04 10:52:46.137990][6051.328626979]
2025-12-04T10:52:46.1382911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:52:46.1385855Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:52:46.138322]
2025-12-04T10:52:49.6929518Z 
2025-12-04T10:52:49.6930460Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_41277c8aa87cfc84_.log
2025-12-04T10:52:49.6931432Z Running 0 items in this shard:
2025-12-04T10:52:49.6931652Z 
2025-12-04T10:52:49.6931915Z Finished test_complex 1/1 ... [2025-12-04 10:52:49.692766][6054.883402797], took 0.06min
2025-12-04T10:52:49.7023218Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-221d191525df71da.xml
2025-12-04T10:52:49.7266231Z Running test_binary_ufuncs 1/1 ... [2025-12-04 10:52:49.726362][6054.916999198]
2025-12-04T10:52:49.7266841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:52:49.7269313Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_binary_ufuncs.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:52:49.726698]
2025-12-04T10:52:54.4240266Z 
2025-12-04T10:52:54.4241265Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_275b2a5b782899c8_.log
2025-12-04T10:52:54.4242546Z Running 0 items in this shard:
2025-12-04T10:52:54.4242763Z 
2025-12-04T10:52:54.4255115Z Finished test_binary_ufuncs 1/1 ... [2025-12-04 10:52:54.423850][6059.614486798], took 0.08min
2025-12-04T10:52:54.4336926Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_binary_ufuncs/test_binary_ufuncs-7cad74f09a75a381.xml
2025-12-04T10:52:54.4591137Z Running lazy/test_step_closures 1/1 ... [2025-12-04 10:52:54.458851][6059.649486667]
2025-12-04T10:52:54.4591656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:52:54.4595242Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_step_closures.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:52:54.459208]
2025-12-04T10:53:00.0814540Z 
2025-12-04T10:53:00.0815819Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_4f9a08deeaee4a6d_.log
2025-12-04T10:53:00.0817942Z Running 4 items in this shard: test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous, test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous_exception, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous_exception
2025-12-04T10:53:00.0819386Z 
2025-12-04T10:53:00.0819703Z Finished lazy/test_step_closures 1/1 ... [2025-12-04 10:53:00.081276][6065.271913073], took 0.09min
2025-12-04T10:53:00.0912523Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_step_closures/lazy.test_step_closures-80900c628c797341.xml
2025-12-04T10:53:00.1245172Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 10:53:00.124224][6065.31486111]
2025-12-04T10:53:00.1245906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:53:00.1248873Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:53:00.124567]
2025-12-04T10:53:06.2482114Z 
2025-12-04T10:53:06.2483678Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_95ec770b742fafab_.log
2025-12-04T10:53:06.2487040Z Running 6 items in this shard: test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_profile_memory_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_with_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_without_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_profile_memory_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_with_enable_profiler_in_child_thread_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_without_enable_profiler_in_child_thread_xpu
2025-12-04T10:53:06.2489736Z 
2025-12-04T10:53:06.2579782Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 10:53:06.248025][6071.438661594], took 0.10min
2025-12-04T10:53:06.2581061Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-e5ab27f7e5f9fc1b.xml
2025-12-04T10:53:06.3400506Z Running test_hub 1/1 ... [2025-12-04 10:53:06.339758][6071.530393012]
2025-12-04T10:53:06.3401119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:53:06.3404053Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:53:06.340129]
2025-12-04T10:53:20.1757225Z 
2025-12-04T10:53:20.1758306Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_a732c6c8849ba740_.log
2025-12-04T10:53:20.1763480Z Running 20 items in this shard: test/test_hub.py::TestHub::test_download_url_to_file, test/test_hub.py::TestHub::test_get_set_dir, test/test_hub.py::TestHub::test_hub_parse_repo_info, test/test_hub.py::TestHub::test_list_entrypoints, test/test_hub.py::TestHub::test_load_commit_from_forked_repo, test/test_hub.py::TestHub::test_load_from_branch, test/test_hub.py::TestHub::test_load_from_github, test/test_hub.py::TestHub::test_load_from_local_dir, test/test_hub.py::TestHub::test_load_legacy_zip_checkpoint, test/test_hub.py::TestHub::test_load_state_dict_from_url, test/test_hub.py::TestHub::test_load_zip_1_6_checkpoint, test/test_hub.py::TestHub::test_trust_repo_builtin_trusted_owners, test/test_hub.py::TestHub::test_trust_repo_check_no, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_false_emptystring, test/test_hub.py::TestHub::test_trust_repo_false_no, test/test_hub.py::TestHub::test_trust_repo_legacy, test/test_hub.py::TestHub::test_trust_repo_none, test/test_hub.py::TestHub::test_trust_repo_true, test/test_hub.py::TestHub::test_trusted_repo_false_yes
2025-12-04T10:53:20.1768163Z 
2025-12-04T10:53:20.1768410Z Finished test_hub 1/1 ... [2025-12-04 10:53:20.175539][6085.366174466], took 0.23min
2025-12-04T10:53:20.1858944Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-424e35da43ed8034.xml
2025-12-04T10:53:20.2661903Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 10:53:20.265898][6085.456534591]
2025-12-04T10:53:20.2663620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:53:20.2665823Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_opaque_obj_v2.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:53:20.266283]
2025-12-04T10:53:32.2981414Z 
2025-12-04T10:53:32.2982390Z test_opaque_obj_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_opaque_obj_v2_1.1_b5710171c05f59c4_.log
2025-12-04T10:53:32.2986838Z Running 11 items in this shard: test/test_opaque_obj_v2.py::TestOpaqueObject::test_aot_export, test/test_opaque_obj_v2.py::TestOpaqueObject::test_bad_fake_make_fx_tracing_mode_fake, test/test_opaque_obj_v2.py::TestOpaqueObject::test_bad_fake_make_fx_tracing_mode_symbolic, test/test_opaque_obj_v2.py::TestOpaqueObject::test_compile1, test/test_opaque_obj_v2.py::TestOpaqueObject::test_compile_attribute, test/test_opaque_obj_v2.py::TestOpaqueObject::test_compile_intermediate, test/test_opaque_obj_v2.py::TestOpaqueObject::test_export_joint, test/test_opaque_obj_v2.py::TestOpaqueObject::test_invalid_schema, test/test_opaque_obj_v2.py::TestOpaqueObject::test_make_fx_make_fx_tracing_mode_fake, test/test_opaque_obj_v2.py::TestOpaqueObject::test_make_fx_make_fx_tracing_mode_symbolic, test/test_opaque_obj_v2.py::TestOpaqueObject::test_ops
2025-12-04T10:53:32.2990468Z 
2025-12-04T10:53:32.2990758Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 10:53:32.297975][6097.488611975], took 0.20min
2025-12-04T10:53:32.3081331Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_opaque_obj_v2/test_opaque_obj_v2-3cd069109cb5255d.xml
2025-12-04T10:53:32.3847312Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:53:32.384453][6097.575089463]
2025-12-04T10:53:32.3847877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:53:32.3850879Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_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 10:53:32.384811]
2025-12-04T10:53:36.2014528Z 
2025-12-04T10:53:36.2015597Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_2e7343ed22507541_.log
2025-12-04T10:53:36.2016810Z Running 0 items in this shard:
2025-12-04T10:53:36.2017025Z 
2025-12-04T10:53:36.2017383Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:53:36.201280][6101.391907025], took 0.06min
2025-12-04T10:53:36.2118227Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-a4988531e77c54f4.xml
2025-12-04T10:53:36.2397492Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 10:53:36.239474][6101.430110361]
2025-12-04T10:53:36.2398371Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:53:36.2402622Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:53:36.239909]
2025-12-04T10:53:40.4131854Z 
2025-12-04T10:53:40.4132827Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_75a8b23c649b5481_.log
2025-12-04T10:53:40.4138263Z Running 12 items in this shard: test/test_fx_reinplace_pass.py::TestReinplacePass::test_out_node_updated, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_basic, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_different_metadata, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_index_mutation, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_overlapping_memory, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_op, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid2, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_valid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_sym_input, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_with_view
2025-12-04T10:53:40.4143191Z 
2025-12-04T10:53:40.4143727Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 10:53:40.413001][6105.603638448], took 0.07min
2025-12-04T10:53:40.4235197Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-88d2ce3292cba765.xml
2025-12-04T10:53:40.4536904Z Running functorch/test_control_flow 1/1 ... [2025-12-04 10:53:40.453468][6105.644103808]
2025-12-04T10:53:40.4537437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:53:40.4540672Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:53:40.453795]
2025-12-04T10:56:46.3911361Z 
2025-12-04T10:56:46.3912449Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_ca61f3c78862dd6f_.log
2025-12-04T10:56:46.5341476Z Running 1957 items in this shard: test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_complex, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_different_pytree_output, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_grad_through_cond, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_inner_fn, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_inner_tensor, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_mixed_require_grad, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_nested, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_pytree_input, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_pytree_not_all_inputs_used, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_same_pytree_output, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_simple, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_torch_nn_module, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_user_nn_module, test/functorch/test_control_flow.py::TestControlFlow::test_cond_autograd_zeros_unused_branch_complex_compile_fail_compile_mode_compile_dynamic_shape_scalar_False, test/functorch/test_control_flow.py::TestControlFlow::test_cond_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_cond_in_forloop, test/functorch/test_control_flow.py::TestControlFlow::test_cond_no_trace, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_higher_order, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_nested_list, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_no_grad_output, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_simple, test/functorch/test_control_flow.py::TestControlFlow::test_map_autograd_simple_partial_grad, test/functorch/test_control_flow.py::TestControlFlow::test_map_dict_in_out, test/functorch/test_control_flow.py::TestControlFlow::test_map_gpu, test/functorch/test_control_flow.py::TestControlFlow::test_map_illegal_inputs, test/functorch/test_control_flow.py::TestControlFlow::test_map_illegal_outputs, test/functorch/test_control_flow.py::TestControlFlow::test_map_list_in_out, test/functorch/test_control_flow.py::TestControlFlow::test_scan_associative_scan, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_binary_operator_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_carry_carry_alias, test/functorch/test_control_flow.py::TestControlFlow::test_scan_carry_output_alias, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_compile_mode_eager_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_compile_mode_eager_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_compile_mode_none_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_compile_mode_none_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_additional_inputs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_additional_inputs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_complex_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_complex_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_init_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_init_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_random_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_random_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_xs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_eager_partial_grad_xs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_additional_inputs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_additional_inputs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_complex_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_complex_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_init_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_init_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_random_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_random_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_xs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_False_compile_mode_none_partial_grad_xs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_additional_inputs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_additional_inputs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_complex_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_complex_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_init_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_init_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_random_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_random_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_xs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_eager_partial_grad_xs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_additional_inputs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_additional_inputs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_complex_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_complex_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_init_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_init_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_random_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_random_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_xs_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_RNN_partial_autograd_reverse_True_compile_mode_none_partial_grad_xs_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_carries_ys_same_grad_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_closure_combine_fn_with_no_grad_additional_inputs_all_reverse_True_compile_mode_eager_cpu_autograd_True, 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test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_downstream_scan_scan_dim_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_eager_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_False_compile_mode_none_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_eager_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cpu_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_complex64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_float16, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_float32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_int32, test/functorch/test_control_flow.py::TestControlFlow::test_scan_dtype_reverse_True_compile_mode_none_cuda_int64, test/functorch/test_control_flow.py::TestControlFlow::test_scan_float_output, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_non_tensor, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_pytree_complex_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_scanned_0, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_carry_shape, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_False_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_False_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_True_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_complex_reverse_True_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_init_longer_carry, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_pytree_init_shorter_carry, test/functorch/test_control_flow.py::TestControlFlow::test_scan_init_wrong_shape, test/functorch/test_control_flow.py::TestControlFlow::test_scan_input_carry_alias, test/functorch/test_control_flow.py::TestControlFlow::test_scan_input_mutation, test/functorch/test_control_flow.py::TestControlFlow::test_scan_input_output_alias, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_1_device_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_1_device_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_2_device_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_2_device_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_3_device_cpu, test/functorch/test_control_flow.py::TestControlFlow::test_scan_multiple_layers_gradient_layers_3_device_cuda, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_non_pointwise_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_one_return, test/functorch/test_control_flow.py::TestControlFlow::test_scan_pytree_output, test/functorch/test_control_flow.py::TestControlFlow::test_scan_simple_graph, test/functorch/test_control_flow.py::TestControlFlow::test_scan_simple_graph_wrong_dtype, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::TestControlFlow::test_scan_tuple_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::TestControlFlow::test_scan_wrong_pytree, test/functorch/test_control_flow.py::TestControlFlow::test_scan_y_less_ndim_then_dim, test/functorch/test_control_flow.py::TestControlFlow::test_while_loop_gpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_binary_operator_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_combine_fn_wrong_meta_in_combine_fn, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_eager_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_False_compile_mode_none_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_eager_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_compile_reverse_True_compile_mode_none_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_False, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda_autograd_False, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_complex_pytree_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_True, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_compile_dynamic_shape_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_eager_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_generic_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_generic_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_generic_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_generic_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_pointwise_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_pointwise_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_pointwise_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_reverse_True_compile_mode_none_combine_mode_pointwise_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_dim_shape_failure, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_compile_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_generic_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda_autograd_True, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_matmul_combine_mode_pointwise_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_compile_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_generic_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_compile_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_combine_mode_pointwise_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_compile_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_eager_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_generic_compile_mode_none_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_dynamic_shape_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_compile_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_eager_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_False_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_downstream_scan_scan_different_dim_combine_mode_pointwise_compile_mode_none_reverse_first_True_same_direction_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_compile_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_expand_in_combine_fn_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_fct_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda_autograd_False, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_nested_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_False_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_dynamic_shape_reverse_True_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_False_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_compile_reverse_True_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_False_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_eager_reverse_True_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_False_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cpu_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cpu_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cpu_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cpu_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cuda_combine_mode_generic_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cuda_combine_mode_generic_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cuda_combine_mode_pointwise_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_pytree_compile_mode_none_reverse_True_cuda_combine_mode_pointwise_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_False, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_False, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_shape_check_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_freevars_simple_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_input_mutation, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_input_output_alias, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_dynamic_shape_loop_type_for_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_compile_loop_type_for_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_eager_loop_type_for_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_compile_mode_none_loop_type_for_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_loop_in_combine_fn_failure, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_map_in_combine_fn, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_nested, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_compile_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_contiguous_tensor_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_dynamic_shape_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_dynamic_shape_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_dynamic_shape_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_compile_dynamic_shape_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_eager_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_False_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_dynamic_shape_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_dynamic_shape_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_dynamic_shape_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_compile_dynamic_shape_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_eager_cpu_autograd_False, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_non_pointwise_generic_reverse_True_compile_mode_none_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_output_output_alias, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_partial_grad_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_partial_grad_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_False_cuda, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_partial_grad_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cpu, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_partial_grad_combine_mode_generic_compile_mode_compile_dynamic_shape_reverse_True_cuda, 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test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_compile_dynamic_shape_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_eager_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_generic_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_tuple_compile_mode_none_combine_mode_pointwise_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_dynamic_shape_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_compile_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_eager_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_False_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_False_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_False_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_False_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_True_cpu_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_True_cpu_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_True_cuda_autograd_False, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_vmap_in_combine_fn_compile_mode_none_reverse_True_cuda_autograd_True, test/functorch/test_control_flow.py::AssociativeScanTests::test_associative_scan_wrong_pytree, test/functorch/test_control_flow.py::TestControlFlowTraced::test_compile_while_loop_stack_output_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_compile_while_loop_stack_output_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_compile_while_loop_stack_output_dynamic_True_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_compile_while_loop_stack_output_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_accepts_torch_function_as_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_autograd_backward, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_autograd_backward_inp_out_aliasing, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_autograd_backward_out_out_aliasing, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_eager_run_with_item, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_aot_func_check_functional, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_data_dependent_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_aliasing_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_false_branch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_input_mutation_on_true_branch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested_input_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_nested_input_mutation_with_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_functionalized_output_alias_input, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_make_fx_preserve_stack_trace_for_nodes_in_subgraph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_merge_graph_preserves_ph_meta, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_output_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_output_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_output_dynamic_True_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_output_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_strided_output_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_strided_output_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_strided_output_dynamic_True_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_mismatched_branch_strided_output_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_multi, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_multi_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_traced_other_inputs_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_nested_with_closure_graph_module, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_no_dynamo_cache_limit, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_retrace_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_simple_with_linear_compile_check_graph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_subgraph_same_shape_env_as_parent, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_symint_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_symint_operands_requires_grad_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_symint_operands_requires_grad_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_trace_set__and_mutate_input, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_trace_set__and_mutate_intermediate, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_traced_not_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_traced_not_nested_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_bool_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_floatTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_0_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_tracing_with_valid_inputs_predType_intTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_unbacked_symint_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_args_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_inputs, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_multiple_outputs_nClosure_1, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_function_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_module_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_1_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_0_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_predType_boolTensor_innerFnType_object_nOperands_2_nClosure_1_nesting_0, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_vmap_single_input_with_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_consecutive_make_fx_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_module_param_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_module_python_scalar_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_sym_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_tensor_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_tensor_closure_graph_module, test/functorch/test_control_flow.py::TestControlFlowTraced::test_cond_with_unbacked_sym_pred, test/functorch/test_control_flow.py::TestControlFlowTraced::test_hop_raises_if_not_overriding_call, test/functorch/test_control_flow.py::TestControlFlowTraced::test_input_input_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_input_mutation_inference_mode_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_input_mutation_inference_mode_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_input_output_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_aot_func, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_arg_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_elem_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_functionalized_elem_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_map_unfunc_boolean_tensor_for_nested_map_cond, test/functorch/test_control_flow.py::TestControlFlowTraced::test_merge_output, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_cond_map_cond_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_map_cond_real, test/functorch/test_control_flow.py::TestControlFlowTraced::test_nested_map_cond_symbolic, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_tensor_size, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_tensor_size_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_type_size, test/functorch/test_control_flow.py::TestControlFlowTraced::test_raise_error_on_mismatch_type_size_fake_tensor, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_functionalized_elem_alias, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_functionalized_elem_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_in_vmap_complex_ops, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_in_vmap_mixed_batch_dims, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_in_vmap_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_in_vmap_unbatched_init_error, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_in_vmap_unbatched_x, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_pytree_closure, test/functorch/test_control_flow.py::TestControlFlowTraced::test_scan_vmap_scan_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_aot_functionalized, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_dict, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_list, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_autograd_symbolic_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_real, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_dict, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_list, test/functorch/test_control_flow.py::TestControlFlowTraced::test_tracing_map_symbolic_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_two_hops_not_sharing_code_obj, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_closure_weight_error, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_scan_vmap_scan_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_vmap_boolcond_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_vmap_vmap_boolcond_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_autograd_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_const_and_symint_output, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_int_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_pytree_int_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_aot_eager_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_const_and_symint_output, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_int_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_pytree_int_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_compile_backend_eager_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_cpp_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_functorch_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_no_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_functionalize_func_type_python_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested2_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_nested_traced, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_compile_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_compile_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_compile_dynamic_True_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_compile_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_False_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_False_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_True_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_constant_and_symint_output_export_strict_True_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_compile_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_compile_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_compile_dynamic_True_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_compile_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_export_strict_False_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_export_strict_False_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_export_strict_True_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_int_carry_export_strict_True_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_mismatch_in_meta, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_False_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_False_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_True_backend_aot_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_compile_dynamic_True_backend_eager, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_export_strict_False_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_export_strict_False_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_export_strict_True_dynamic_False, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_op_pytree_int_carry_export_strict_True_dynamic_True, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_cpp, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_functorch, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_no, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_functionalize_check_graph_func_type_python, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_simple_with_linear_compile_check_graph, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested2, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_nested_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple_with_linear, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple_with_mutation, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_tracing_while_loop_test_simple_with_pytree_carry, test/functorch/test_control_flow.py::TestControlFlowTraced::test_while_loop_unbacked_bindings, test/functorch/test_control_flow.py::TestHopSchema::test_associative_scan_gen_schema_multiple_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_associative_scan_gen_schema_tensor_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_associative_scan_gen_schema_with_additional_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_cond_gen_schema_symbool_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_cond_gen_schema_tensor_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_function_schema_gen, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_GraphModule, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_ScriptObj, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_SymBool, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_SymInt, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_Tensor, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_bool, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_float, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_int, test/functorch/test_control_flow.py::TestHopSchema::test_list_gen_schema_type_str, test/functorch/test_control_flow.py::TestHopSchema::test_scan_gen_schema_multiple_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_scan_gen_schema_tensor_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_scan_gen_schema_with_additional_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_schema_tree_spec, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_GraphModule, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_ScriptObj, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_SymBool, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_SymInt, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_Tensor, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_bool, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_float, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_int, test/functorch/test_control_flow.py::TestHopSchema::test_type_gen_schema_type_str, test/functorch/test_control_flow.py::TestHopSchema::test_while_loop_gen_schema_tensor_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_while_loop_gen_schema_with_additional_inputs, test/functorch/test_control_flow.py::TestHopSchema::test_while_loop_gen_schema_with_input_mutation, test/functorch/test_control_flow.py::TestHopSchema::test_while_loop_gen_schema_with_int_carries
2025-12-04T10:56:46.6775290Z 
2025-12-04T10:56:46.6775663Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 10:56:46.395185][6291.585817881], took 3.10min
2025-12-04T10:56:46.6776909Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-a7ca558d4c4f965b.xml
2025-12-04T10:56:46.8311600Z Uploading artifacts took 0.30 seconds
2025-12-04T10:56:46.8315495Z Running test_autocast 1/1 ... [2025-12-04 10:56:46.831332][6292.021968542]
2025-12-04T10:56:46.8316097Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:56:46.8320193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:56:46.831706]
2025-12-04T10:56:51.1525381Z 
2025-12-04T10:56:51.1526257Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_da81629563b4133b_.log
2025-12-04T10:56:51.1533104Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device
2025-12-04T10:56:51.1539847Z 
2025-12-04T10:56:51.1540120Z Finished test_autocast 1/1 ... [2025-12-04 10:56:51.152355][6296.342991974], took 0.07min
2025-12-04T10:56:51.1632026Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-7f48558769b72c69.xml
2025-12-04T10:56:51.1958414Z Running test_logging 1/1 ... [2025-12-04 10:56:51.195530][6296.386166072]
2025-12-04T10:56:51.1959214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:56:51.1962894Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_logging.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:56:51.195933]
2025-12-04T10:56:57.0691656Z 
2025-12-04T10:56:57.0692582Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_53d3a96924d80a2b_.log
2025-12-04T10:56:57.0694105Z Running 1 items in this shard: test/test_logging.py::LoggingTest::testApiUsage
2025-12-04T10:56:57.0694628Z 
2025-12-04T10:56:57.0694909Z Finished test_logging 1/1 ... [2025-12-04 10:56:57.068915][6302.259540643], took 0.10min
2025-12-04T10:56:57.0799586Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-726cab57ec01a961.xml
2025-12-04T10:56:57.1035066Z Running test_python_dispatch 1/1 ... [2025-12-04 10:56:57.103283][6302.293919041]
2025-12-04T10:56:57.1035585Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:56:57.1039252Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:56:57.103662]
2025-12-04T10:57:02.7263731Z 
2025-12-04T10:57:02.7264836Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_5e0f94cd35a1aa78_.log
2025-12-04T10:57:02.7301931Z Running 99 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
2025-12-04T10:57:02.7338058Z 
2025-12-04T10:57:02.7338361Z Finished test_python_dispatch 1/1 ... [2025-12-04 10:57:02.726304][6307.91693938], took 0.09min
2025-12-04T10:57:02.7373647Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-c8768a841e14a8e3.xml
2025-12-04T10:57:02.7723818Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 10:57:02.772154][6307.96279012]
2025-12-04T10:57:02.7724308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:57:02.7728052Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_lazy_modules.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:57:02.772529]
2025-12-04T10:57:06.7429836Z 
2025-12-04T10:57:06.7430760Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_dacade49fca1107c_.log
2025-12-04T10:57:06.7450865Z Running 59 items in this shard: test/nn/test_lazy_modules.py::TestLazyModules::test_chained_initialization, test/nn/test_lazy_modules.py::TestLazyModules::test_invalid_functions, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_batchnorm_with_dict_input, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_kwargs, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transpose3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_conv_transposed1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm1d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm2d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_instancenorm3d_state, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_pickle, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_linear_state_and_forward, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_jit_param, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_module_parameter, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_pre_forward_hook, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_buffer, test/nn/test_lazy_modules.py::TestLazyModules::test_lazy_share_memory_param, test/nn/test_lazy_modules.py::TestLazyModules::test_linear, test/nn/test_lazy_modules.py::TestLazyModules::test_linear_state, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_device, test/nn/test_lazy_modules.py::TestLazyModules::test_materialize_dtype, test/nn/test_lazy_modules.py::TestLazyModules::test_optimizer_pass, test/nn/test_lazy_modules.py::TestLazyModules::test_spectral_norm, test/nn/test_lazy_modules.py::TestLazyModules::test_weight_norm
2025-12-04T10:57:06.7470295Z 
2025-12-04T10:57:06.7470604Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 10:57:06.742810][6311.933446017], took 0.07min
2025-12-04T10:57:06.7540559Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-c6ab01d98d9c6f86.xml
2025-12-04T10:57:06.7840889Z Running nn/test_pruning 1/1 ... [2025-12-04 10:57:06.783848][6311.974484905]
2025-12-04T10:57:06.7841396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:57:06.7844468Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pruning.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:57:06.784171]
2025-12-04T10:57:10.5539172Z 
2025-12-04T10:57:10.5540091Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_bc17a9d2e1d90191_.log
2025-12-04T10:57:10.5551593Z Running 34 items in this shard: test/nn/test_pruning.py::TestPruningNN::test_compute_nparams_to_prune, test/nn/test_pruning.py::TestPruningNN::test_custom_from_mask_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning, test/nn/test_pruning.py::TestPruningNN::test_global_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_identity_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning, test/nn/test_pruning.py::TestPruningNN::test_l1_unstructured_pruning_with_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning, test/nn/test_pruning.py::TestPruningNN::test_ln_structured_pruning_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_multiple_pruning_calls, test/nn/test_pruning.py::TestPruningNN::test_prune, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores, test/nn/test_pruning.py::TestPruningNN::test_prune_importance_scores_mimic_default, test/nn/test_pruning.py::TestPruningNN::test_pruning_container, test/nn/test_pruning.py::TestPruningNN::test_pruning_container_compute_mask, test/nn/test_pruning.py::TestPruningNN::test_pruning_id_consistency, test/nn/test_pruning.py::TestPruningNN::test_pruning_rollback, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_model, test/nn/test_pruning.py::TestPruningNN::test_pruning_serialization_state_dict, test/nn/test_pruning.py::TestPruningNN::test_random_pruning, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_0perc, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_new_weight, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_orig, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_pickle, test/nn/test_pruning.py::TestPruningNN::test_random_pruning_sizes, test/nn/test_pruning.py::TestPruningNN::test_random_structured_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_exception, test/nn/test_pruning.py::TestPruningNN::test_remove_pruning_forward, test/nn/test_pruning.py::TestPruningNN::test_rnn_pruning, test/nn/test_pruning.py::TestPruningNN::test_unstructured_pruning_same_magnitude, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount, test/nn/test_pruning.py::TestPruningNN::test_validate_pruning_amount_init
2025-12-04T10:57:10.5562375Z 
2025-12-04T10:57:10.5562676Z Finished nn/test_pruning 1/1 ... [2025-12-04 10:57:10.553744][6315.744378648], took 0.06min
2025-12-04T10:57:10.5649546Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-b57a2d9c450c67d8.xml
2025-12-04T10:57:10.5976204Z Running test_monitor 1/1 ... [2025-12-04 10:57:10.597364][6315.788000181]
2025-12-04T10:57:10.5976686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:57:10.5979167Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_monitor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:57:10.597695]
2025-12-04T10:57:14.4175281Z 
2025-12-04T10:57:14.4176550Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_b9da4e274412fdee_.log
2025-12-04T10:57:14.4180503Z Running 6 items in this shard: test/test_monitor.py::TestMonitor::test_event_handler, test/test_monitor.py::TestMonitor::test_fixed_count_stat, test/test_monitor.py::TestMonitor::test_interval_stat, test/test_monitor.py::TestMonitor::test_log_event, test/test_monitor.py::TestMonitor::test_wait_counter, test/test_monitor.py::TestMonitorTensorboard::test_event_handler
2025-12-04T10:57:14.4183868Z 
2025-12-04T10:57:14.4184289Z Finished test_monitor 1/1 ... [2025-12-04 10:57:14.417359][6319.607994916], took 0.06min
2025-12-04T10:57:14.4287802Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-804245693dfd9cc4.xml
2025-12-04T10:57:14.4592226Z Running test_bundled_inputs 1/1 ... [2025-12-04 10:57:14.458954][6319.649589132]
2025-12-04T10:57:14.4593007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:57:14.4596674Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_bundled_inputs.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:57:14.459318]
2025-12-04T10:57:18.8802094Z 
2025-12-04T10:57:18.8803023Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_aa648251c9cedf83_.log
2025-12-04T10:57:18.8807966Z Running 12 items in this shard: test/test_bundled_inputs.py::TestBundledInputs::test_bad_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_dict_args, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_fail, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_non_mutator, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_success, test/test_bundled_inputs.py::TestBundledInputs::test_large_tensor_with_inflation, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_both_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_neither_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_non_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_rejected_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_single_tensors
2025-12-04T10:57:18.8812305Z 
2025-12-04T10:57:18.8812605Z Finished test_bundled_inputs 1/1 ... [2025-12-04 10:57:18.880018][6324.070655074], took 0.07min
2025-12-04T10:57:18.8916949Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-9a0993baa5d48a07.xml
2025-12-04T10:57:18.9238297Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:57:18.923465][6324.114101057]
2025-12-04T10:57:18.9239110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:57:18.9240948Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:57:18.923793]
2025-12-04T10:57:26.8497001Z 
2025-12-04T10:57:26.8498652Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_d382c02675244c44_.log
2025-12-04T10:57:26.8602478Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, 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test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_exceptions, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_results, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_errors, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_multiples, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_new_position, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_to_end, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_preserve_order, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x2, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_3x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting, 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test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_scalar_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_single_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_C_and_F_simul, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_non_array_input, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_require_each, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional
2025-12-04T10:57:26.8708318Z 
2025-12-04T10:57:26.8708722Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:57:26.849940][6332.040574616], took 0.13min
2025-12-04T10:57:26.8710091Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-eb0abe8351b42aec.xml
2025-12-04T10:57:26.9412833Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:57:26.941021][6332.131657009]
2025-12-04T10:57:26.9413447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:57:26.9416581Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_multiarray.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:57:26.941374]
2025-12-04T10:57:56.6988297Z 
2025-12-04T10:57:56.6989452Z torch_np/numpy_tests/core/test_multiarray 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_dc4e1aa026ae6292_.log
2025-12-04T10:57:56.7376207Z Running 864 items in this shard: test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_otherflags, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_readonly_flag_protocols_flag__warn_on_write_flag_value_True_writeable_False, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_readonly_flag_protocols_flag_writeable_flag_value_False_writeable_False, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_readonly_flag_protocols_flag_writeable_flag_value_True_writeable_True, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_string_align, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_void_align, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_warnonwrite, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_writeable, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_writeable_any_base, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_writeable_from_buffer, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_writeable_from_readonly, test/torch_np/numpy_tests/core/test_multiarray.py::TestFlag::test_writeable_pickle, test/torch_np/numpy_tests/core/test_multiarray.py::TestHash::test_int, test/torch_np/numpy_tests/core/test_multiarray.py::TestAttributes::test_attributes, test/torch_np/numpy_tests/core/test_multiarray.py::TestAttributes::test_attributes_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestAttributes::test_dtypeattr, test/torch_np/numpy_tests/core/test_multiarray.py::TestAttributes::test_fill, test/torch_np/numpy_tests/core/test_multiarray.py::TestAttributes::test_fill_max_uint64, test/torch_np/numpy_tests/core/test_multiarray.py::TestAttributes::test_fill_readonly, test/torch_np/numpy_tests/core/test_multiarray.py::TestAttributes::test_fill_struct_array, 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test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_matrix_matrix_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_matrix_vector_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_out_arg, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_out_contiguous, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_out_contiguous_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_result_types, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_result_types_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_scalar_output, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_shapes, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_vector_matrix_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmul::test_vector_vector_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_array_priority_override, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_exceptions, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_matmul_axes, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_matmul_inplace, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_matmul_inplace_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_matmul_raises, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_matrix_matrix_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_matrix_vector_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_result_types, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_result_types_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_scalar_output, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_shapes, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_vector_matrix_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestMatmulOperator::test_vector_vector_values, test/torch_np/numpy_tests/core/test_multiarray.py::TestInner::test_3d_tensor, test/torch_np/numpy_tests/core/test_multiarray.py::TestInner::test_inner_product_reversed_view, test/torch_np/numpy_tests/core/test_multiarray.py::TestInner::test_inner_product_with_various_contiguities, test/torch_np/numpy_tests/core/test_multiarray.py::TestInner::test_inner_scalar_and_vector, test/torch_np/numpy_tests/core/test_multiarray.py::TestInner::test_vecself, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_basic, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_broadcast1, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_broadcast2, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_docstring_1, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_docstring_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_docstring_3, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_output_dtype_ops0, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_output_dtype_ops1, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_output_dtype_ops2, test/torch_np/numpy_tests/core/test_multiarray.py::TestChoose::test_output_dtype_ops3, test/torch_np/numpy_tests/core/test_multiarray.py::TestRepeat::test_axis_spec, test/torch_np/numpy_tests/core/test_multiarray.py::TestRepeat::test_basic, test/torch_np/numpy_tests/core/test_multiarray.py::TestRepeat::test_broadcast1, test/torch_np/numpy_tests/core/test_multiarray.py::TestRepeat::test_broadcast2, test/torch_np/numpy_tests/core/test_multiarray.py::TestWarnings::test_complex_warning, test/torch_np/numpy_tests/core/test_multiarray.py::TestMinScalarType::test_complex, test/torch_np/numpy_tests/core/test_multiarray.py::TestMinScalarType::test_float, test/torch_np/numpy_tests/core/test_multiarray.py::TestMinScalarType::test_nonscalar, test/torch_np/numpy_tests/core/test_multiarray.py::TestMinScalarType::test_usigned_shortshort, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_byteorder_inside_struct, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_char_vs_string, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_field_order, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_intra_padding, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_native_padding, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_native_padding_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_native_padding_3, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_padding_with_array_inside_struct, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_trailing_padding, test/torch_np/numpy_tests/core/test_multiarray.py::TestPEP3118Dtype::test_unnamed_fields, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test___array__, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_array_interfaces, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_buffer_interface, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_compatible_cast, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order12_order2_A, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order12_order2_C, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order12_order2_F, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order12_order2_K, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_C_order2_A, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_C_order2_C, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_C_order2_F, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_C_order2_K, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_F_order2_A, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_F_order2_C, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_F_order2_F, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr0_order1_F_order2_K, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order12_order2_A, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order12_order2_C, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order12_order2_F, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order12_order2_K, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_C_order2_A, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_C_order2_C, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_C_order2_F, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_C_order2_K, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_F_order2_A, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_F_order2_C, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_F_order2_F, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_order_mismatch_arr1_order1_F_order2_K, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_scalars, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayCreationCopyArgument::test_striding_not_ok, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayAttributeDeletion::test_multiarray_flags_not_writable_attribute_deletion, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayAttributeDeletion::test_multiarray_flags_writable_attribute_deletion, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayAttributeDeletion::test_multiarray_not_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_multiarray.py::TestArrayAttributeDeletion::test_multiarray_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_multiarray.py::TestDelMisc::test_flat_element_deletion, test/torch_np/numpy_tests/core/test_multiarray.py::TestConversion::test_array_scalar_relational_operation, test/torch_np/numpy_tests/core/test_multiarray.py::TestConversion::test_to_bool_scalar, test/torch_np/numpy_tests/core/test_multiarray.py::TestConversion::test_to_int_scalar, test/torch_np/numpy_tests/core/test_multiarray.py::TestConversion::test_to_int_scalar_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_basic, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_dtype_mix, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_empty_result, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_error, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_exotic, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_exotic_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_foreign, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_kwargs, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_largedim, test/torch_np/numpy_tests/core/test_multiarray.py::TestWhere::test_ndim, test/torch_np/numpy_tests/core/test_multiarray.py::TestHashing::test_arrays_not_hashable, test/torch_np/numpy_tests/core/test_multiarray.py::TestHashing::test_collections_hashable, test/torch_np/numpy_tests/core/test_multiarray.py::TestFormat::test_0d, test/torch_np/numpy_tests/core/test_multiarray.py::TestFormat::test_1d_format, test/torch_np/numpy_tests/core/test_multiarray.py::TestFormat::test_1d_no_format, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_argmax_with_out, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_argmin_with_out, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_choose_mod_raise, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_dot_out, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_flatiter__array__, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_insert_noncontiguous, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_put_noncontiguous, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_putmask_noncontiguous, test/torch_np/numpy_tests/core/test_multiarray.py::TestWritebackIfCopy::test_take_mode_raise, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_arange_booleans, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_error_paths_and_promotion_which_0, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_error_paths_and_promotion_which_1, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_error_paths_and_promotion_which_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_explicit_dtype_dt0, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_explicit_dtype_dt1, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_explicit_dtype_dt2, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_infinite, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_nan_step, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_require_range, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_require_range_2, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_start_stop_kwarg, test/torch_np/numpy_tests/core/test_multiarray.py::TestArange::test_zero_step, test/torch_np/numpy_tests/core/test_multiarray.py::TestRichcompareScalar::test_richcompare_scalar_boolean_singleton_return, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_1023, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_128, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_151, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_16, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_191, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_2047, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_24, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_256, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_32, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_383, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_48, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_512, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_64, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_8, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_float_N_96, test/torch_np/numpy_tests/core/test_multiarray.py::TestSortFloatMisc::test_sort_int
2025-12-04T10:57:56.7752278Z 
2025-12-04T10:57:56.7752697Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:57:56.700160][6361.890794161], took 0.50min
2025-12-04T10:57:56.7754306Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_multiarray/torch_np.numpy_tests.core.test_multiarray-1387e7cabb5f02c0.xml
2025-12-04T10:57:56.8069457Z Running test_masked 1/1 ... [2025-12-04 10:57:56.806698][6361.99733288]
2025-12-04T10:57:56.8069927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:57:56.8073269Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_masked.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:57:56.807053]
2025-12-04T10:58:01.5177364Z 
2025-12-04T10:58:01.5178188Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_fb7a9be0853c92b7_.log
2025-12-04T10:58:01.5178956Z Running 0 items in this shard:
2025-12-04T10:58:01.5179158Z 
2025-12-04T10:58:01.5179431Z Finished test_masked 1/1 ... [2025-12-04 10:58:01.517571][6366.708207254], took 0.08min
2025-12-04T10:58:01.5294309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_masked/test_masked-d388c93e2f2318d9.xml
2025-12-04T10:58:01.5577176Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 10:58:01.557483][6366.748119176]
2025-12-04T10:58:01.5577748Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:58:01.5581077Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:58:01.557836]
2025-12-04T10:58:06.4797917Z 
2025-12-04T10:58:06.4798940Z 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_a9d267d68e839810_.log
2025-12-04T10:58:06.4802290Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device
2025-12-04T10:58:06.4804690Z 
2025-12-04T10:58:06.4805038Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 10:58:06.479556][6371.67019244], took 0.08min
2025-12-04T10:58:06.4915730Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-73ae51699c2c3af5.xml
2025-12-04T10:58:06.5251796Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:58:06.524907][6371.715543927]
2025-12-04T10:58:06.5252310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:58:06.5255733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:58:06.525260]
2025-12-04T10:58:11.4972676Z 
2025-12-04T10:58:11.4973576Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_ef9d475757abe78c_.log
2025-12-04T10:58:11.4975955Z Running 5 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic
2025-12-04T10:58:11.4977748Z 
2025-12-04T10:58:11.4978038Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:58:11.496994][6376.68763165], took 0.08min
2025-12-04T10:58:11.5093509Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-91982fe5b844d58c.xml
2025-12-04T10:58:11.5395831Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:58:11.539313][6376.729950538]
2025-12-04T10:58:11.5396348Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:58:11.5399419Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dynamic_shapes.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:58:11.539697]
2025-12-04T10:59:08.9927414Z 
2025-12-04T10:59:08.9928821Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_52020da8f3db57ac_.log
2025-12-04T10:59:09.0086956Z Running 378 items in this shard: test/test_dynamic_shapes.py::TestPySymInt::test_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_aten_ops, test/test_dynamic_shapes.py::TestPySymInt::test_avoid_unbacked_substitution, test/test_dynamic_shapes.py::TestPySymInt::test_backed_size_oblivious_01_spec, test/test_dynamic_shapes.py::TestPySymInt::test_baddbmm_symint, test/test_dynamic_shapes.py::TestPySymInt::test_binary, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard_propagate_real_tensors, test/test_dynamic_shapes.py::TestPySymInt::test_debug_has_internal_overlap_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_deepcopy, test/test_dynamic_shapes.py::TestPySymInt::test_duck_shape, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_simplification, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_unified_with_non_ephemeral_source, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_basic, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_double_digits, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_prefer_later, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_with_s0, test/test_dynamic_shapes.py::TestPySymInt::test_floor_clean_div_axioms, test/test_dynamic_shapes.py::TestPySymInt::test_floordiv_static, test/test_dynamic_shapes.py::TestPySymInt::test_fx_trace_intlist, test/test_dynamic_shapes.py::TestPySymInt::test_guard_int, test/test_dynamic_shapes.py::TestPySymInt::test_guard_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_hash_size, test/test_dynamic_shapes.py::TestPySymInt::test_int_bool, test/test_dynamic_shapes.py::TestPySymInt::test_int_conversion, test/test_dynamic_shapes.py::TestPySymInt::test_int_to_float, test/test_dynamic_shapes.py::TestPySymInt::test_max_of_unique_summation_opt, test/test_dynamic_shapes.py::TestPySymInt::test_meta_symint, test/test_dynamic_shapes.py::TestPySymInt::test_mul_int_oo_nan, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense_backed, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_numel, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_max, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_min, test/test_dynamic_shapes.py::TestPySymInt::test_prefer_deferred_runtime_assertions_over_guards, test/test_dynamic_shapes.py::TestPySymInt::test_prims_non_overlapping_and_dense, test/test_dynamic_shapes.py::TestPySymInt::test_print_readable_with_symints, test/test_dynamic_shapes.py::TestPySymInt::test_reverse_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_roundtrip, test/test_dynamic_shapes.py::TestPySymInt::test_size_expressions, test/test_dynamic_shapes.py::TestPySymInt::test_slice_backed_size_oblivious, test/test_dynamic_shapes.py::TestPySymInt::test_specialize_zero_one, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_false, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_true, test/test_dynamic_shapes.py::TestPySymInt::test_stride, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ceil, test/test_dynamic_shapes.py::TestPySymInt::test_sym_floor, test/test_dynamic_shapes.py::TestPySymInt::test_sym_int, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_sym_log2, test/test_dynamic_shapes.py::TestPySymInt::test_sym_max_multi_max_simplify, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sqrt, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sum, test/test_dynamic_shapes.py::TestPySymInt::test_sym_trunc, test/test_dynamic_shapes.py::TestPySymInt::test_symint_args, test/test_dynamic_shapes.py::TestPySymInt::test_symint_as_scalar, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_and, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_or, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_xor, test/test_dynamic_shapes.py::TestPySymInt::test_symint_vargs, test/test_dynamic_shapes.py::TestPySymInt::test_sympify_symint, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add_binary_search, test/test_dynamic_shapes.py::TestPySymInt::test_tensor_factory_with_symint, test/test_dynamic_shapes.py::TestPySymInt::test_tracing_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_unbacked_substitution, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_abs, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_add, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_xor, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ceil, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_eq, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_pow, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_floor, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ge, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_gt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_floordiv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_is_integer, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_le, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mod, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mul, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ne, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_neg, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pow_by_natural, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_round, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_rshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sub, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_acos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_asin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_atan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cosh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_ite, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_log2, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_max, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_min, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_not, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sinh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sqrt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tanh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_trunc, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_dynamic_int_basic_compile_backend_eager, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_dynamic_int_basic_compile_backend_inductor, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_dynamic_int_eager_usage, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_xor_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_xor_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_xor_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_xor_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_non_symbolic_symnode, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_stride_symnode, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symint_deepcopy, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symint_hashing, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symnode_hashing, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_assumptions, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_div_by_one, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_div_does_not_generate_non_int_rational, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_float_int, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_simplify, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_congruences_simple, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_inequalities_error, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_inequalities_simple, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_solve_full, test/test_dynamic_shapes.py::TestDimConstraints::test_simplify_max_1_0, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guard_or_false, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guard_or_true, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_float_div, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_float_print, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_gt_lt, test/test_dynamic_shapes.py::TestGuardsExpressions::test_remove_symbols_without_guarding, test/test_dynamic_shapes.py::TestGuardsExpressions::test_size_comparison_no_recompile, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_neq_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_neq_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_eq_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_eq_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_or_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_or_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_with_unbacked_input_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_with_unbacked_input_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_div_unbacked_eq_globals, test/test_dynamic_shapes.py::TestUnbacked::test_div_unbacked_eq_input_ints, test/test_dynamic_shapes.py::TestUnbacked::test_div_unbacked_eq_input_tensors, test/test_dynamic_shapes.py::TestUnbacked::test_div_unbacked_eq_item, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_has_free_symbols, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert1_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert1_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert2_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert2_backend_inductor, test/test_dynamic_shapes.py::TestUbackedOps::test_backed_size_oblivious_broadcast, test/test_dynamic_shapes.py::TestUbackedOps::test_backed_size_oblivious_expand, test/test_dynamic_shapes.py::TestUbackedOps::test_invalid_view_unbacked_view, test/test_dynamic_shapes.py::TestUbackedOps::test_narrow_unbacked_start, test/test_dynamic_shapes.py::TestUbackedOps::test_narrow_unbacked_start_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_narrow_with_tensor_start, test/test_dynamic_shapes.py::TestUbackedOps::test_nonzero_select, test/test_dynamic_shapes.py::TestUbackedOps::test_nonzero_select_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_nonzero_slice, test/test_dynamic_shapes.py::TestUbackedOps::test_nonzero_slice_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_padnd, test/test_dynamic_shapes.py::TestUbackedOps::test_select_scatter_unbacked_index, test/test_dynamic_shapes.py::TestUbackedOps::test_slice_with_tensor_indices, test/test_dynamic_shapes.py::TestUbackedOps::test_slice_with_tensor_indices_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_tensor_split, test/test_dynamic_shapes.py::TestUbackedOps::test_tensor_split_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_trunc_int_div_true, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_contiguous, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_item, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_item_set_item, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_item_set_item2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_item_set_item3, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_non_contigious_reshape_failing, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape1, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape3, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape_copy, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_with_check, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_slice, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_slice_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_slice_with_step, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_slice_with_step_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_view_extra, test/test_dynamic_shapes.py::TestUbackedOps::test_unbind_not_dynamic
2025-12-04T10:59:09.0242205Z 
2025-12-04T10:59:09.0242521Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:59:08.993361][6434.183993137], took 0.96min
2025-12-04T10:59:09.0243636Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-df7a14a7a649aaa6.xml
2025-12-04T10:59:09.0911010Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:59:09.090823][6434.281459525]
2025-12-04T10:59:09.0911510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:59:09.0914441Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:59:09.091163]
2025-12-04T10:59:12.2545014Z 
2025-12-04T10:59:12.2546012Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_de05dafa1049cfc5_.log
2025-12-04T10:59:12.2546743Z 
2025-12-04T10:59:12.2547041Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:59:12.254272][6437.444907632], took 0.05min
2025-12-04T10:59:12.2670669Z Running cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:59:12.266857][6437.457494926]
2025-12-04T10:59:12.2671259Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:59:12.2674336Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/test_libtorch_agnostic.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:59:12.267205]
2025-12-04T10:59:15.8331699Z 
2025-12-04T10:59:15.8332779Z cpp_extensions/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.test_libtorch_agnostic_1.1_3d58a589639506af_.log
2025-12-04T10:59:15.8334018Z Running 0 items in this shard:
2025-12-04T10:59:15.8334224Z 
2025-12-04T10:59:15.8334619Z Finished cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:59:15.832911][6441.023548035], took 0.06min
2025-12-04T10:59:15.8452961Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.test_libtorch_agnostic/cpp_extensions.test_libtorch_agnostic-5e037057c983c386.xml
2025-12-04T10:59:15.9209570Z Running test_datapipe 1/1 ... [2025-12-04 10:59:15.920620][6441.111254543]
2025-12-04T10:59:15.9210103Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:59:15.9212681Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_datapipe.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:59:15.920979]
2025-12-04T10:59:32.2603394Z 
2025-12-04T10:59:32.2604252Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_4aa63d30fd7f99a3_.log
2025-12-04T10:59:32.2636783Z Running 93 items in this shard: test/test_datapipe.py::TestDataChunk::test_as_string, test/test_datapipe.py::TestDataChunk::test_getitem, test/test_datapipe.py::TestDataChunk::test_iter, test/test_datapipe.py::TestDataChunk::test_len, test/test_datapipe.py::TestDataChunk::test_random_shuffle, test/test_datapipe.py::TestDataChunk::test_reverse, test/test_datapipe.py::TestDataChunk::test_sort, test/test_datapipe.py::TestStreamWrapper::test_api, test/test_datapipe.py::TestStreamWrapper::test_dir, test/test_datapipe.py::TestStreamWrapper::test_pickle, test/test_datapipe.py::TestStreamWrapper::test_repr, test/test_datapipe.py::TestIterableDataPipeBasic::test_demux_mux_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_groupby_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfiles_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfilesdeterministic_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_map_with_col_file_handle_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_openfilesfromdisk_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_routeddecoder_iterable_datapipe, test/test_datapipe.py::TestCaptureDataFrame::test_basic_capture, test/test_datapipe.py::TestDataFramesPipes::test_batch, test/test_datapipe.py::TestDataFramesPipes::test_capture, test/test_datapipe.py::TestDataFramesPipes::test_collate, test/test_datapipe.py::TestDataFramesPipes::test_filter, test/test_datapipe.py::TestDataFramesPipes::test_shuffle, test/test_datapipe.py::TestDataFramesPipes::test_unbatch, test/test_datapipe.py::TestFunctionalIterDataPipe::test_batch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_collate_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_concat_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_demux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalIterDataPipe::test_filter_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_fork_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_iterable_wrapper_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_dict_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_tuple_list_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_mux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_sampler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalIterDataPipe::test_shuffler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_stream_reader_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_unbatch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_zip_iterdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_batch_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_concat_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalMapDataPipe::test_map_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_sequence_wrapper_datapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalMapDataPipe::test_shuffler_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_zip_mapdatapipe, test/test_datapipe.py::TestTyping::test_compile_time, test/test_datapipe.py::TestTyping::test_construct_time, test/test_datapipe.py::TestTyping::test_isinstance, test/test_datapipe.py::TestTyping::test_issubinstance, test/test_datapipe.py::TestTyping::test_protocol, test/test_datapipe.py::TestTyping::test_reinforce, test/test_datapipe.py::TestTyping::test_runtime, test/test_datapipe.py::TestTyping::test_subtype, test/test_datapipe.py::TestGraph::test_simple_traverse, test/test_datapipe.py::TestGraph::test_traverse_circular_datapipe, test/test_datapipe.py::TestGraph::test_traverse_forked, test/test_datapipe.py::TestGraph::test_traverse_mapdatapipe, test/test_datapipe.py::TestGraph::test_traverse_mixdatapipe, test/test_datapipe.py::TestGraph::test_traverse_unhashable_datapipe, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_iter, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_map, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_dill, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_pickle, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding_with_old_dataloader, test/test_datapipe.py::TestSharding::test_multi_sharding, test/test_datapipe.py::TestSharding::test_old_dataloader, test/test_datapipe.py::TestSharding::test_sharding_groups, test/test_datapipe.py::TestSharding::test_sharding_length, test/test_datapipe.py::TestSharding::test_simple_sharding, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_buggy, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_constraint_multiple_outputs, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_generator, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_new_object, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_self_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_return_self, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_non_generator, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_self_next, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_repeated, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_with_serialization
2025-12-04T10:59:32.2668380Z 
2025-12-04T10:59:32.2668684Z Finished test_datapipe 1/1 ... [2025-12-04 10:59:32.260317][6457.450950962], took 0.27min
2025-12-04T10:59:32.2769864Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_datapipe/test_datapipe-374e9e0bc70704b2.xml
2025-12-04T10:59:32.3642364Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:59:32.363934][6457.55456904]
2025-12-04T10:59:32.3643068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:59:32.3647097Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:59:32.364417]
2025-12-04T10:59:36.5854208Z 
2025-12-04T10:59:36.5855378Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_2e215205f3bb62be_.log
2025-12-04T10:59:36.5909129Z Running 119 items in this shard: test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_r1array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_r2array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array2, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_bad_out_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_exceptions, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_large_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_operator_concat, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_simple, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_3d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_complicated, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_memory_order, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_mixed_1d_and_2d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_total_size_estimate, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_multiple_rows, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_mismatched_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims_depths, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_empty_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_invalid_nesting, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_nested, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_no_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_tuple
2025-12-04T10:59:36.5961358Z 
2025-12-04T10:59:36.5961760Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:59:36.585542][6461.776168911], took 0.07min
2025-12-04T10:59:36.6024044Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_shape_base/torch_np.numpy_tests.core.test_shape_base-32add8b572b9d345.xml
2025-12-04T10:59:36.6393069Z Running test_vulkan 1/1 ... [2025-12-04 10:59:36.639055][6461.829690082]
2025-12-04T10:59:36.6393760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:59:36.6397836Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_vulkan.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:59:36.639525]
2025-12-04T10:59:39.9591147Z 
2025-12-04T10:59:39.9592006Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_ac3050616ef7c77a_.log
2025-12-04T10:59:39.9592964Z Running 1 items in this shard: test/test_vulkan.py::TestVulkanRewritePass::test_conv
2025-12-04T10:59:39.9593410Z 
2025-12-04T10:59:39.9593972Z Finished test_vulkan 1/1 ... [2025-12-04 10:59:39.958949][6465.149585293], took 0.06min
2025-12-04T10:59:39.9758728Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-06e3fa8f165dae63.xml
2025-12-04T10:59:40.0281435Z Running lazy/test_generator 1/1 ... [2025-12-04 10:59:40.027903][6465.218539328]
2025-12-04T10:59:40.0282180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:59:40.0286323Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_generator.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:59:40.028346]
2025-12-04T10:59:43.7485333Z 
2025-12-04T10:59:43.7486270Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_94532855997701c1_.log
2025-12-04T10:59:43.7487742Z Running 2 items in this shard: test/lazy/test_generator.py::LazyGeneratorTest::test_generator, test/lazy/test_generator.py::LazyGeneratorTest::test_generator_causes_multiple_compiles
2025-12-04T10:59:43.7488627Z 
2025-12-04T10:59:43.7488924Z Finished lazy/test_generator 1/1 ... [2025-12-04 10:59:43.748354][6468.938988573], took 0.06min
2025-12-04T10:59:43.7655400Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-8f70966f738205e2.xml
2025-12-04T10:59:43.7979129Z Running nn/test_convolution 1/1 ... [2025-12-04 10:59:43.797634][6468.988269572]
2025-12-04T10:59:43.7979639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:59:43.7983840Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:59:43.798080]
2025-12-04T11:00:02.0431647Z 
2025-12-04T11:00:02.0432578Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_3c1d206ba45dfb5c_.log
2025-12-04T11:00:02.0451052Z Running 50 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_overflow_values, test/nn/test_convolution.py::TestConvolutionNN::test_conv_aten_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_huge_padding, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated
2025-12-04T11:00:02.0468842Z 
2025-12-04T11:00:02.0469140Z Finished nn/test_convolution 1/1 ... [2025-12-04 11:00:02.042983][6487.233619787], took 0.30min
2025-12-04T11:00:02.0571862Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-b539a667cc5f37c9.xml
2025-12-04T11:00:02.1616540Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 11:00:02.161288][6487.351923037]
2025-12-04T11:00:02.1617143Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:00:02.1619838Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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 11:00:02.161690]
2025-12-04T11:00:13.7927288Z 
2025-12-04T11:00:13.7928994Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_948d987636626f63_.log
2025-12-04T11:00:13.8034099Z Running 268 items in this shard: test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size_k, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_identity, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_basic_nonsvd, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_nan, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_stacked_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_zero, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_0_n_rhs_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_4_n_rhs_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_4_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_0_n_rhs_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_0_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_2_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_sq_cases, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_dot, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_geqrf_lwork_smoketest, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_unsupported_commontype
2025-12-04T11:00:13.8137993Z 
2025-12-04T11:00:13.8138386Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 11:00:13.792975][6498.983607372], took 0.19min
2025-12-04T11:00:13.8139760Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.linalg.test_linalg/torch_np.numpy_tests.linalg.test_linalg-085847a50ca1635d.xml
2025-12-04T11:00:13.9083113Z Running test_shape_ops 1/1 ... [2025-12-04 11:00:13.908019][6499.098654326]
2025-12-04T11:00:13.9083881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:00:13.9087001Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_shape_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 11:00:13.908401]
2025-12-04T11:00:17.5031149Z 
2025-12-04T11:00:17.5032330Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_e4d2aa22065e7ff3_.log
2025-12-04T11:00:17.5033096Z Running 0 items in this shard:
2025-12-04T11:00:17.5033315Z 
2025-12-04T11:00:17.5033581Z Finished test_shape_ops 1/1 ... [2025-12-04 11:00:17.502920][6502.693556048], took 0.06min
2025-12-04T11:00:17.5163352Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_shape_ops/test_shape_ops-f24f460810a25fe5.xml
2025-12-04T11:00:17.5421454Z Running test_serialization 1/1 ... [2025-12-04 11:00:17.541824][6502.732460747]
2025-12-04T11:00:17.5422109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:00:17.5424903Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_serialization.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 11:00:17.542180]
2025-12-04T11:01:11.6844382Z 
2025-12-04T11:01:11.6846021Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_25f10e3d66a6a6d3_.log
2025-12-04T11:01:11.6933109Z Running 204 items in this shard: test/test_serialization.py::TestOldSerialization::test_debug_set_in_ci, test/test_serialization.py::TestOldSerialization::test_load_error_msg, test/test_serialization.py::TestOldSerialization::test_load_nonexistent_device, test/test_serialization.py::TestOldSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestOldSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestOldSerialization::test_pickle_module, test/test_serialization.py::TestOldSerialization::test_safe_load_basic_types, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_error, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestOldSerialization::test_serialization, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestOldSerialization::test_serialization_container, test/test_serialization.py::TestOldSerialization::test_serialization_container_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_dill, test/test_serialization.py::TestOldSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestOldSerialization::test_serialization_fake_zip, test/test_serialization.py::TestOldSerialization::test_serialization_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestOldSerialization::test_serialization_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_map_location, test/test_serialization.py::TestOldSerialization::test_serialization_offset, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_False, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_True, test/test_serialization.py::TestOldSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_safe, test/test_serialization.py::TestOldSerialization::test_serialization_save_warnings, test/test_serialization.py::TestOldSerialization::test_serialization_sparse, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid_legacy_ctor, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestOldSerialization::test_serialization_storage_slice, test/test_serialization.py::TestOldSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestOldSerialization::test_serialize_device, test/test_serialization.py::TestOldSerialization::test_skip_data_load, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_True, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_True, test/test_serialization.py::TestSerialization::test_debug_set_in_ci, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_False, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_True, test/test_serialization.py::TestSerialization::test_get_unsafe_globals_in_checkpoint, test/test_serialization.py::TestSerialization::test_has_format_version, test/test_serialization.py::TestSerialization::test_load_error_msg, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_False, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_True, test/test_serialization.py::TestSerialization::test_load_nonexistent_device, test/test_serialization.py::TestSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestSerialization::test_lr_scheduler_serialization, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_mmap_load_offset_calculation_path_type0, test/test_serialization.py::TestSerialization::test_mmap_load_offset_calculation_path_type1, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_pickle_module, test/test_serialization.py::TestSerialization::test_safe_load_basic_types, test/test_serialization.py::TestSerialization::test_save_different_dtype_error, test/test_serialization.py::TestSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bfloat16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bfloat16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_True, test/test_serialization.py::TestSerialization::test_serializaion_no_storage_leak, test/test_serialization.py::TestSerialization::test_serialization, test/test_serialization.py::TestSerialization::test_serialization_2gb_file, test/test_serialization.py::TestSerialization::test_serialization_4gb_file, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byteorder_mark, test/test_serialization.py::TestSerialization::test_serialization_dill, test/test_serialization.py::TestSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint16_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint16_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_fake_zip, test/test_serialization.py::TestSerialization::test_serialization_filelike, test/test_serialization.py::TestSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestSerialization::test_serialization_gzip, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bfloat16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bool, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cdouble, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cfloat, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_double, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_float, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_half, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int8, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_long, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_uint8, test/test_serialization.py::TestSerialization::test_serialization_map_location, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_ctx, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_with_map_location, test/test_serialization.py::TestSerialization::test_serialization_nested_class, test/test_serialization.py::TestSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_safe, test/test_serialization.py::TestSerialization::test_serialization_save_warnings, test/test_serialization.py::TestSerialization::test_serialization_sparse, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid_legacy_ctor, test/test_serialization.py::TestSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestSerialization::test_serialization_storage_slice, test/test_serialization.py::TestSerialization::test_serialization_uintx_intx, test/test_serialization.py::TestSerialization::test_serialization_warning_s390x, test/test_serialization.py::TestSerialization::test_serialization_with_header, test/test_serialization.py::TestSerialization::test_serialization_zipfile_actually_jit, test/test_serialization.py::TestSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_True, test/test_serialization.py::TestSerialization::test_serialize_device, test/test_serialization.py::TestSerialization::test_skip_data_load, test/test_serialization.py::TestSerialization::test_skip_data_serialization_error_cases, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_True, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_True, test/test_serialization.py::TestSerialization::test_storage_alignment, test/test_serialization.py::TestSerialization::test_use_pinned_memory_for_d2h, test/test_serialization.py::TestSerialization::test_weights_only_assert, test/test_serialization.py::TestSerialization::test_weights_only_blocked_func_error_msg, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_False, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_True, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_False, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_True, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_blocklist, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_all, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_some, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_newobj, test/test_serialization.py::TestSerialization::test_weights_only_with_zoneinfo_unpickle_registration_success, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_False, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_True, test/test_serialization.py::TestSubclassSerialization::test_empty_class_serialization, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_context_manager_weights_only, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_for_weights_only, test/test_serialization.py::TestSubclassSerialization::test_sets_are_loadable_with_weights_only, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_deepcopy, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_getstate_overwrite, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_map_location, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_wrapper_serialization
2025-12-04T11:01:11.7016828Z 
2025-12-04T11:01:11.7017127Z Finished test_serialization 1/1 ... [2025-12-04 11:01:11.684375][6556.875010399], took 0.90min
2025-12-04T11:01:11.7018236Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-d5d7748eaba45d70.xml
2025-12-04T11:01:11.7836207Z Running test_view_ops 1/1 ... [2025-12-04 11:01:11.783325][6556.973961336]
2025-12-04T11:01:11.7836702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:01:11.7839880Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_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 11:01:11.783729]
2025-12-04T11:01:15.3961516Z 
2025-12-04T11:01:15.3962520Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_9a536ecdd5b66d74_.log
2025-12-04T11:01:15.3963289Z Running 0 items in this shard:
2025-12-04T11:01:15.3963518Z 
2025-12-04T11:01:15.3963792Z Finished test_view_ops 1/1 ... [2025-12-04 11:01:15.395886][6560.586522256], took 0.06min
2025-12-04T11:01:15.4097038Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-29eeac4ae017e77b.xml
2025-12-04T11:01:15.4419822Z Running test_nn 1/1 ... [2025-12-04 11:01:15.441739][6560.632376229]
2025-12-04T11:01:15.4420268Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:01:15.4423783Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:01:15.442094]
2025-12-04T11:02:13.6007376Z 
2025-12-04T11:02:13.6008287Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_2508f5ec7d6d304a_.log
2025-12-04T11:02:13.6292248Z Running 1062 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NHWC_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_large_max_pool2d_ch_last, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present
2025-12-04T11:02:13.6555843Z 
2025-12-04T11:02:13.6556112Z Finished test_nn 1/1 ... [2025-12-04 11:02:13.601981][6618.792615499], took 0.97min
2025-12-04T11:02:13.6557032Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-6769faa896423c6e.xml
2025-12-04T11:02:13.7461763Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 11:02:13.745879][6618.936514107]
2025-12-04T11:02:13.7462356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:02:13.7465466Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.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 11:02:13.746249]
2025-12-04T11:02:17.1155579Z 
2025-12-04T11:02:17.1157254Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_b644b674ac8a972a_.log
2025-12-04T11:02:17.1197793Z Running 53 items in this shard: test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_destructor_exception, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_device, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_stream, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_torch, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_10, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_11, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_12, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_13, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_14, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_15, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_16, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_17, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_18, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_19, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_20, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_21, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_22, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_23, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_24, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_25, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_26, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_27, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_28, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_29, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_30, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_31, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_32, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_ndim0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_non_contiguous, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_readonly, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_to_torch
2025-12-04T11:02:17.1236848Z 
2025-12-04T11:02:17.1237470Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 11:02:17.115442][6622.306077624], took 0.06min
2025-12-04T11:02:17.1296323Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dlpack/torch_np.numpy_tests.core.test_dlpack-1b267f56b1976195.xml
2025-12-04T11:02:17.1622437Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 11:02:17.161989][6622.35262656]
2025-12-04T11:02:17.1623281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:02:17.1626751Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:02:17.162321]
2025-12-04T11:04:40.7335927Z 
2025-12-04T11:04:40.7339398Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_fbbc077741f70cd5_.log
2025-12-04T11:04:40.7352016Z 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
2025-12-04T11:04:40.7363627Z 
2025-12-04T11:04:40.7363977Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 11:04:40.733390][6765.924026139], took 2.39min
2025-12-04T11:04:40.7478852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-32af00719226868e.xml
2025-12-04T11:04:40.8281978Z Running test_mkldnn 1/1 ... [2025-12-04 11:04:40.827894][6766.018529762]
2025-12-04T11:04:40.8282727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:04:40.8285864Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn.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 11:04:40.828269]
2025-12-04T11:04:44.6090105Z 
2025-12-04T11:04:44.6091158Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_2f7628017b3527bd_.log
2025-12-04T11:04:44.6093135Z Running 0 items in this shard:
2025-12-04T11:04:44.6093413Z 
2025-12-04T11:04:44.6093950Z Finished test_mkldnn 1/1 ... [2025-12-04 11:04:44.608804][6769.799442146], took 0.06min
2025-12-04T11:04:44.6234258Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn/test_mkldnn-2764b103035b98fe.xml
2025-12-04T11:04:44.6506690Z Running test_native_mha 1/1 ... [2025-12-04 11:04:44.649484][6769.840119638]
2025-12-04T11:04:44.6507303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:04:44.6508484Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:04:44.649887]
2025-12-04T11:04:48.2836588Z 
2025-12-04T11:04:48.2837596Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_9108b99cfa129dea_.log
2025-12-04T11:04:48.2838375Z Running 0 items in this shard:
2025-12-04T11:04:48.2838599Z 
2025-12-04T11:04:48.2838881Z Finished test_native_mha 1/1 ... [2025-12-04 11:04:48.283431][6773.474068036], took 0.06min
2025-12-04T11:04:48.2979776Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-badc42b31ebf2639.xml
2025-12-04T11:04:48.3236822Z Running test_type_promotion 1/1 ... [2025-12-04 11:04:48.323426][6773.514061903]
2025-12-04T11:04:48.3237336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:04:48.3240478Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.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 11:04:48.323801]
2025-12-04T11:04:51.9690067Z 
2025-12-04T11:04:51.9690930Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_53f7faf08dc345eb_.log
2025-12-04T11:04:51.9691771Z Running 0 items in this shard:
2025-12-04T11:04:51.9691973Z 
2025-12-04T11:04:51.9692269Z Finished test_type_promotion 1/1 ... [2025-12-04 11:04:51.968771][6777.159407946], took 0.06min
2025-12-04T11:04:51.9835648Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-ab0cec37e283ca6c.xml
2025-12-04T11:04:52.0108758Z Running test_reductions 1/1 ... [2025-12-04 11:04:52.010613][6777.201249527]
2025-12-04T11:04:52.0109263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:04:52.0112679Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:04:52.011001]
2025-12-04T11:04:56.7280020Z 
2025-12-04T11:04:56.7280904Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_04b0cdf9eb64cdd3_.log
2025-12-04T11:04:56.7281963Z Running 0 items in this shard:
2025-12-04T11:04:56.7282180Z 
2025-12-04T11:04:56.7282456Z Finished test_reductions 1/1 ... [2025-12-04 11:04:56.727810][6781.918447617], took 0.08min
2025-12-04T11:04:56.7429194Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-dbf968bbcc78e90e.xml
2025-12-04T11:04:56.7668675Z Running test_autoload_enable 1/1 ... [2025-12-04 11:04:56.766599][6781.957233895]
2025-12-04T11:04:57.1042223Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T11:05:00.3729528Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T11:05:00.3735044Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T11:05:10.5772543Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T11:05:10.6040764Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=4d3380bc3e12f0a2b10e528441a71e57cdcdfaf0237f751fc17aacb4c28e494a
2025-12-04T11:05:10.6042302Z   Stored in directory: /tmp/pip-ephem-wheel-cache-qqxqt18c/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T11:05:10.6064727Z Successfully built torch_test_cpp_extension
2025-12-04T11:05:10.9768304Z Installing collected packages: torch_test_cpp_extension
2025-12-04T11:05:11.1452560Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T11:05:12.8927831Z W1204 11:05:12.892000 121720 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:05:13.8456698Z 
2025-12-04T11:05:13.8457100Z Running tests...
2025-12-04T11:05:13.8457469Z ----------------------------------------------------------------------
2025-12-04T11:05:14.0188252Z .
2025-12-04T11:05:14.0188616Z ----------------------------------------------------------------------
2025-12-04T11:05:14.0189041Z Ran 1 test in 0.173s
2025-12-04T11:05:14.0189222Z 
2025-12-04T11:05:14.0189306Z OK
2025-12-04T11:05:14.0189438Z 
2025-12-04T11:05:14.0189549Z Generating XML reports...
2025-12-04T11:05:14.6460348Z Finished test_autoload_enable 1/1 ... [2025-12-04 11:05:14.645671][6799.836301131], took 0.30min
2025-12-04T11:05:14.6617404Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204110513.xml
2025-12-04T11:05:16.4149776Z W1204 11:05:16.414000 121738 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:05:18.3585396Z Running test batch 'tests to run' cost 5688.64 seconds
2025-12-04T11:05:19.4780556Z 
2025-12-04T11:05:19.4780982Z real	94m55.199s
2025-12-04T11:05:19.4781375Z user	96m21.344s
2025-12-04T11:05:19.4781616Z sys	15m36.932s
2025-12-04T11:05:19.4781917Z + assert_git_not_dirty
2025-12-04T11:05:19.4787036Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:05:19.4787595Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:05:19.4805931Z ++ git status --porcelain
2025-12-04T11:05:19.4807208Z ++ grep -v '?? third_party'
2025-12-04T11:06:03.4495971Z ++ true
2025-12-04T11:06:03.4531762Z + git_status=
2025-12-04T11:06:03.4532125Z + [[ -n '' ]]
2025-12-04T11:06:03.4532585Z + test_libtorch 2
2025-12-04T11:06:03.4532927Z + local SHARD=2
2025-12-04T11:06:03.4533248Z + [[ nogpu_AVX512 != \s\l\o\w ]]
2025-12-04T11:06:03.4533581Z + echo 'Testing libtorch'
2025-12-04T11:06:03.4533863Z Testing libtorch
2025-12-04T11:06:03.4534888Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4571560Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4585511Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4601227Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4615392Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4632085Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_nvshmem.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4645219Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4672862Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4673633Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:06:03.4674108Z + [[ -z 2 ]]
2025-12-04T11:06:03.4674351Z + [[ 2 == \1 ]]
2025-12-04T11:06:03.4674584Z + [[ -z 2 ]]
2025-12-04T11:06:03.4674796Z + [[ 2 == \2 ]]
2025-12-04T11:06:03.4675036Z + test_libtorch_jit
2025-12-04T11:06:03.4675298Z + pushd test
2025-12-04T11:06:03.4675548Z ~/workspace/test ~/workspace
2025-12-04T11:06:03.4675860Z + python cpp/jit/tests_setup.py setup
2025-12-04T11:06:05.1903959Z + popd
2025-12-04T11:06:05.1904605Z ~/workspace
2025-12-04T11:06:05.1904998Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T11:06:05.1905628Z + [[ nogpu_AVX512 != *nogpu* ]]
2025-12-04T11:06:05.1906384Z + python test/run_test.py --cpp --verbose -i cpp/test_jit cpp/test_lazy -k 'not CUDA'
2025-12-04T11:06:06.8834809Z W1204 11:06:06.882000 121931 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:06:10.2870525Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:06:10.2974256Z Found test times from artifacts
2025-12-04T11:06:10.3377853Z Found test times from artifacts
2025-12-04T11:06:10.3391453Z Running all tests
2025-12-04T11:06:10.3395188Z Running parallel tests on 1 processes
2025-12-04T11:06:10.3395721Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:06:10.3396189Z   Serial tests (2):
2025-12-04T11:06:10.3396506Z     cpp/test_jit 1/1
2025-12-04T11:06:10.3396872Z     cpp/test_lazy 1/1
2025-12-04T11:06:10.3397222Z   Parallel tests (0):
2025-12-04T11:06:10.3397583Z Name: excluded (est. time: 0.0min)
2025-12-04T11:06:10.3398025Z   Serial tests (0):
2025-12-04T11:06:10.3398357Z   Parallel tests (0):
2025-12-04T11:06:10.3401158Z Running cpp/test_jit 1/1 ... [2025-12-04 11:06:10.339897][6855.530535451]
2025-12-04T11:06:10.3401871Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:06:10.3405721Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_jit', '-v', '-vv', '-rfEX', '-n', '1', '-k', 'not CUDA', '-x', '--reruns=2'] ... [2025-12-04 11:06:10.340290]
2025-12-04T11:11:13.6780559Z 
2025-12-04T11:11:13.6781390Z cpp/test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_jit_1.1_e69c59bba82e28fa_.log
2025-12-04T11:11:13.6790324Z 
2025-12-04T11:11:13.6790620Z Finished cpp/test_jit 1/1 ... [2025-12-04 11:11:13.678900][7158.869535535], took 5.06min
2025-12-04T11:11:14.2656112Z Uploading artifacts took 0.57 seconds
2025-12-04T11:11:14.2656628Z Running cpp/test_lazy 1/1 ... [2025-12-04 11:11:14.265357][7159.45599442]
2025-12-04T11:11:14.2657105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:11:14.2660465Z Executing ['pytest', '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_lazy', '-v', '-vv', '-rfEX', '-n', '1', '-k', 'not CUDA', '-x', '--reruns=2'] ... [2025-12-04 11:11:14.265783]
2025-12-04T11:16:34.8729888Z 
2025-12-04T11:16:34.8730748Z cpp/test_lazy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_lazy_1.1_edcbac38c2f4c42f_.log
2025-12-04T11:16:34.8738867Z 
2025-12-04T11:16:34.8739697Z Finished cpp/test_lazy 1/1 ... [2025-12-04 11:16:34.873780][7480.064412914], took 5.34min
2025-12-04T11:16:36.5621535Z W1204 11:16:36.561000 124652 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:16:38.5101153Z Running test batch 'tests to run' cost 628.17 seconds
2025-12-04T11:16:39.2152158Z + pushd test
2025-12-04T11:16:39.2152520Z ~/workspace/test ~/workspace
2025-12-04T11:16:39.2152995Z + python cpp/jit/tests_setup.py shutdown
2025-12-04T11:16:40.9166894Z + popd
2025-12-04T11:16:40.9167220Z ~/workspace
2025-12-04T11:16:40.9167449Z + assert_git_not_dirty
2025-12-04T11:16:40.9167798Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:16:40.9168228Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:16:40.9173176Z ++ git status --porcelain
2025-12-04T11:16:40.9174231Z ++ grep -v '?? third_party'
2025-12-04T11:16:41.2281655Z ++ true
2025-12-04T11:16:41.2282828Z + git_status=
2025-12-04T11:16:41.2283148Z + [[ -n '' ]]
2025-12-04T11:16:41.2283451Z + test_aot_compilation
2025-12-04T11:16:41.2283858Z + echo 'Testing Ahead of Time compilation'
2025-12-04T11:16:41.2284391Z Testing Ahead of Time compilation
2025-12-04T11:16:41.2292984Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:16:41.2311905Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_nvshmem.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:16:41.2323645Z + '[' -f /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_mobile_nnc ']'
2025-12-04T11:16:41.2325008Z + '[' -f /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/aot_model_compiler_test ']'
2025-12-04T11:16:41.2325940Z + test_custom_script_ops
2025-12-04T11:16:41.2326485Z + echo 'Testing custom script operators'
2025-12-04T11:16:41.2326990Z Testing custom script operators
2025-12-04T11:16:41.2327503Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]]
2025-12-04T11:16:41.2328467Z + CUSTOM_OP_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build
2025-12-04T11:16:41.2329373Z + pushd test/custom_operator
2025-12-04T11:16:41.2329931Z ~/workspace/test/custom_operator ~/workspace
2025-12-04T11:16:41.2330828Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build build
2025-12-04T11:16:41.3370099Z + python test_custom_ops.py -v
2025-12-04T11:16:42.9987247Z W1204 11:16:42.997000 124841 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:16:43.9524502Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2025-12-04T11:16:43.9539700Z 
2025-12-04T11:16:43.9539838Z Running tests...
2025-12-04T11:16:43.9540291Z ----------------------------------------------------------------------
2025-12-04T11:16:44.5166593Z   test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators) ... /var/lib/jenkins/workspace/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead
2025-12-04T11:16:44.5168859Z   nnz = ctx.create_unbacked_symint()
2025-12-04T11:16:44.5257573Z ok (0.572s)
2025-12-04T11:16:44.5317941Z   test_abstract_impl_pystub_meta (__main__.TestCustomOperators) ... ok (0.006s)
2025-12-04T11:16:44.5344748Z   test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.003s)
2025-12-04T11:16:44.5796739Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.045s)
2025-12-04T11:16:44.5807856Z   test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.001s)
2025-12-04T11:16:44.5842633Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py:865: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1301.)
2025-12-04T11:16:44.5848337Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-12-04T11:16:44.5854884Z ok (0.005s)
2025-12-04T11:16:44.5868247Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.001s)
2025-12-04T11:16:44.5876142Z   test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.001s)
2025-12-04T11:16:44.6432852Z   test_dynamo_pystub_suggestion (__main__.TestCustomOperators) ... ok (0.055s)
2025-12-04T11:16:44.6445534Z   test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators) ... ok (0.001s)
2025-12-04T11:16:44.6457814Z   test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators) ... ok (0.001s)
2025-12-04T11:16:44.6541495Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.008s)
2025-12-04T11:16:44.6542368Z 
2025-12-04T11:16:44.6542605Z ----------------------------------------------------------------------
2025-12-04T11:16:44.6543175Z Ran 12 tests in 0.700s
2025-12-04T11:16:44.6543427Z 
2025-12-04T11:16:44.6543513Z OK
2025-12-04T11:16:44.6543651Z 
2025-12-04T11:16:44.6543794Z Generating XML reports...
2025-12-04T11:16:44.6578200Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20251204111643.xml
2025-12-04T11:16:45.4042260Z + python model.py --export-script-module=model.pt
2025-12-04T11:16:47.1063027Z + build/test_custom_ops ./model.pt
2025-12-04T11:16:47.4583751Z [W1204 11:16:47.648330654 engine.cpp:1301] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-12-04T11:16:47.5054061Z ok
2025-12-04T11:16:47.6411433Z + popd
2025-12-04T11:16:47.6411746Z ~/workspace
2025-12-04T11:16:47.6412037Z + assert_git_not_dirty
2025-12-04T11:16:47.6412482Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:16:47.6413102Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:16:47.6420591Z ++ git status --porcelain
2025-12-04T11:16:47.6421020Z ++ grep -v '?? third_party'
2025-12-04T11:16:47.9538143Z ++ true
2025-12-04T11:16:47.9539358Z + git_status=
2025-12-04T11:16:47.9539680Z + [[ -n '' ]]
2025-12-04T11:16:47.9540000Z + test_custom_backend
2025-12-04T11:16:47.9540520Z + echo 'Testing custom backends'
2025-12-04T11:16:47.9541027Z Testing custom backends
2025-12-04T11:16:47.9541939Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build
2025-12-04T11:16:47.9542972Z + pushd test/custom_backend
2025-12-04T11:16:47.9543417Z ~/workspace/test/custom_backend ~/workspace
2025-12-04T11:16:47.9544355Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build build
2025-12-04T11:16:48.0419200Z + python test_custom_backend.py -v
2025-12-04T11:16:49.6988851Z W1204 11:16:49.698000 125034 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:16:50.6426405Z Test results will be stored in test-reports/python-unittest/test_custom_backend
2025-12-04T11:16:50.6438196Z 
2025-12-04T11:16:50.6438745Z Running tests...
2025-12-04T11:16:50.6439135Z ----------------------------------------------------------------------
2025-12-04T11:16:50.6445694Z   test_execute (__main__.TestCustomBackend)
2025-12-04T11:16:50.8696540Z Test execution using the custom backend. ... ok (0.225s)
2025-12-04T11:16:50.8701310Z   test_save_load (__main__.TestCustomBackend)
2025-12-04T11:16:50.8899217Z Test that a lowered module can be executed correctly ... ok (0.020s)
2025-12-04T11:16:50.8899582Z 
2025-12-04T11:16:50.8899763Z ----------------------------------------------------------------------
2025-12-04T11:16:50.8900182Z Ran 2 tests in 0.246s
2025-12-04T11:16:50.8900361Z 
2025-12-04T11:16:50.8900447Z OK
2025-12-04T11:16:50.8900561Z 
2025-12-04T11:16:50.8900688Z Generating XML reports...
2025-12-04T11:16:50.8928182Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20251204111650.xml
2025-12-04T11:16:51.5222060Z + python backend.py --export-module-to=model.pt
2025-12-04T11:16:53.2859220Z + build/test_custom_backend ./model.pt
2025-12-04T11:16:53.6221840Z Testing custom_backend
2025-12-04T11:16:53.6775620Z OK
2025-12-04T11:16:53.8099417Z + rm -f ./model.pt
2025-12-04T11:16:53.8128439Z + popd
2025-12-04T11:16:53.8128817Z ~/workspace
2025-12-04T11:16:53.8129230Z + assert_git_not_dirty
2025-12-04T11:16:53.8129806Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:16:53.8130389Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:16:53.8137054Z ++ git status --porcelain
2025-12-04T11:16:53.8138532Z ++ grep -v '?? third_party'
2025-12-04T11:16:54.1297888Z ++ true
2025-12-04T11:16:54.1299371Z + git_status=
2025-12-04T11:16:54.1299809Z + [[ -n '' ]]
2025-12-04T11:16:54.1300305Z + test_torch_function_benchmark
2025-12-04T11:16:54.1300875Z + echo 'Testing __torch_function__ benchmarks'
2025-12-04T11:16:54.1301478Z Testing __torch_function__ benchmarks
2025-12-04T11:16:54.1302153Z + pushd benchmarks/overrides_benchmark
2025-12-04T11:16:54.1302794Z ~/workspace/benchmarks/overrides_benchmark ~/workspace
2025-12-04T11:16:54.1303208Z + python bench.py -n 1 -m 2
2025-12-04T11:16:55.5295291Z Type tensor had a minimum time of 0.0045299530029296875 us and a standard deviation of 0.07316692790482193 us.
2025-12-04T11:16:55.5296490Z Type SubTensor had a minimum time of 0.02002716064453125 us and a standard deviation of 0.06187157123349607 us.
2025-12-04T11:16:55.5297448Z Type WithTorchFunction had a minimum time of 0.008344650268554688 us and a standard deviation of 0.028997032131883316 us.
2025-12-04T11:16:55.5298848Z Type SubWithTorchFunction had a minimum time of 0.0133514404296875 us and a standard deviation of 0.012644054550037254 us.
2025-12-04T11:16:55.8314174Z + python pyspybench.py Tensor -n 1
2025-12-04T11:16:57.5286379Z + python pyspybench.py SubTensor -n 1
2025-12-04T11:16:59.2336135Z + python pyspybench.py WithTorchFunction -n 1
2025-12-04T11:17:00.9484348Z + python pyspybench.py SubWithTorchFunction -n 1
2025-12-04T11:17:02.6528304Z + popd
2025-12-04T11:17:02.6528588Z ~/workspace
2025-12-04T11:17:02.6528817Z + assert_git_not_dirty
2025-12-04T11:17:02.6529168Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:17:02.6529628Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:17:02.6535157Z ++ git status --porcelain
2025-12-04T11:17:02.6536495Z ++ grep -v '?? third_party'
2025-12-04T11:17:02.9664471Z ++ true
2025-12-04T11:17:02.9665690Z + git_status=
2025-12-04T11:17:02.9665926Z + [[ -n '' ]]
2025-12-04T11:17:02.9667918Z + sccache_epilogue
2025-12-04T11:17:02.9668713Z + echo '::group::Sccache Compilation Log'
2025-12-04T11:17:02.9669653Z ##[group]Sccache Compilation Log
2025-12-04T11:17:02.9670194Z + echo '=================== sccache compilation log ==================='
2025-12-04T11:17:02.9670853Z =================== sccache compilation log ===================
2025-12-04T11:17:02.9671989Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T11:17:02.9804104Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T11:17:02.9805352Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T11:17:02.9806219Z + sccache --show-stats
2025-12-04T11:17:02.9847407Z Compile requests                   3629
2025-12-04T11:17:02.9847799Z Compile requests executed           253
2025-12-04T11:17:02.9848132Z Cache hits                          119
2025-12-04T11:17:02.9848461Z Cache hits (C/C++)                  119
2025-12-04T11:17:02.9848808Z Cache misses                        133
2025-12-04T11:17:02.9849126Z Cache misses (C/C++)                133
2025-12-04T11:17:02.9849464Z Cache hits rate                   47.22 %
2025-12-04T11:17:02.9849816Z Cache hits rate (C/C++)           47.22 %
2025-12-04T11:17:02.9850147Z Cache timeouts                        0
2025-12-04T11:17:02.9850682Z Cache read errors                     0
2025-12-04T11:17:02.9851021Z Forced recaches                       0
2025-12-04T11:17:02.9851344Z Cache write errors                    0
2025-12-04T11:17:02.9851681Z Cache errors                          0
2025-12-04T11:17:02.9852020Z Compilations                        133
2025-12-04T11:17:02.9852362Z Compilation failures                  1
2025-12-04T11:17:02.9852701Z Non-cacheable compilations            0
2025-12-04T11:17:02.9853049Z Non-cacheable calls                 160
2025-12-04T11:17:02.9853394Z Non-compilation calls              3216
2025-12-04T11:17:02.9853746Z Unsupported compiler calls            0
2025-12-04T11:17:02.9854103Z Average cache write               0.051 s
2025-12-04T11:17:02.9854451Z Average compiler                  7.539 s
2025-12-04T11:17:02.9854789Z Average cache read hit            0.031 s
2025-12-04T11:17:02.9855149Z Failed distributed compilations       0
2025-12-04T11:17:02.9855394Z 
2025-12-04T11:17:02.9855498Z Non-cacheable reasons:
2025-12-04T11:17:02.9855792Z unknown source language              99
2025-12-04T11:17:02.9856110Z -E                                   61
2025-12-04T11:17:02.9856342Z 
2025-12-04T11:17:02.9856593Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T11:17:02.9857148Z Version (client)                0.10.0
2025-12-04T11:17:02.9857467Z + sccache --stop-server
2025-12-04T11:17:02.9873825Z Stopping sccache server...
2025-12-04T11:17:02.9877190Z Compile requests                   3629
2025-12-04T11:17:02.9877903Z Compile requests executed           253
2025-12-04T11:17:02.9878267Z Cache hits                          119
2025-12-04T11:17:02.9878757Z Cache hits (C/C++)                  119
2025-12-04T11:17:02.9879090Z Cache misses                        133
2025-12-04T11:17:02.9879406Z Cache misses (C/C++)                133
2025-12-04T11:17:02.9879744Z Cache hits rate                   47.22 %
2025-12-04T11:17:02.9880093Z Cache hits rate (C/C++)           47.22 %
2025-12-04T11:17:02.9880471Z Cache timeouts                        0
2025-12-04T11:17:02.9881116Z Cache read errors                     0
2025-12-04T11:17:02.9881739Z Forced recaches                       0
2025-12-04T11:17:02.9882347Z Cache write errors                    0
2025-12-04T11:17:02.9882957Z Cache errors                          0
2025-12-04T11:17:02.9883291Z Compilations                        133
2025-12-04T11:17:02.9883626Z Compilation failures                  1
2025-12-04T11:17:02.9883964Z Non-cacheable compilations            0
2025-12-04T11:17:02.9884312Z Non-cacheable calls                 160
2025-12-04T11:17:02.9884656Z Non-compilation calls              3216
2025-12-04T11:17:02.9884999Z Unsupported compiler calls            0
2025-12-04T11:17:02.9885354Z Average cache write               0.051 s
2025-12-04T11:17:02.9885710Z Average compiler                  7.539 s
2025-12-04T11:17:02.9886082Z Average cache read hit            0.031 s
2025-12-04T11:17:02.9886431Z Failed distributed compilations       0
2025-12-04T11:17:02.9886686Z 
2025-12-04T11:17:02.9886790Z Non-cacheable reasons:
2025-12-04T11:17:02.9887080Z unknown source language              99
2025-12-04T11:17:02.9887399Z -E                                   61
2025-12-04T11:17:02.9887630Z 
2025-12-04T11:17:02.9887881Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T11:17:02.9888373Z Version (client)                0.10.0
2025-12-04T11:17:02.9888695Z + echo ::endgroup::
2025-12-04T11:17:02.9889209Z ##[endgroup]
2025-12-04T11:17:02.9889454Z + cleanup_workspace
2025-12-04T11:17:02.9889998Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T11:17:02.9890868Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T11:17:02.9891544Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T11:17:02.9892069Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T11:17:02.9892769Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T11:17:02.9893423Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T11:17:02.9894438Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T11:17:03.6761569Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T11:17:03.6762127Z with:
2025-12-04T11:17:03.6762398Z   benchmark-results-dir: test/test-reports
2025-12-04T11:17:03.6762742Z   dry-run: false
2025-12-04T11:17:03.6763000Z   schema-version: v3
2025-12-04T11:17:03.6763508Z   github-token: ***
2025-12-04T11:17:03.6763772Z env:
2025-12-04T11:17:03.6763990Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:03.6764282Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:03.6764762Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:03.6765281Z ##[endgroup]
2025-12-04T11:17:03.6783560Z ##[group]Run set -eux
2025-12-04T11:17:03.6783855Z set -eux
2025-12-04T11:17:03.6784097Z 
2025-12-04T11:17:03.6784319Z if [[ -n "" ]]; then
2025-12-04T11:17:03.6784617Z   source ""
2025-12-04T11:17:03.6784868Z fi
2025-12-04T11:17:03.6785708Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T11:17:03.6786164Z 
2025-12-04T11:17:03.6786398Z DEVICE_NAME=""
2025-12-04T11:17:03.6786677Z DEVICE_TYPE=""
2025-12-04T11:17:03.6786944Z 
2025-12-04T11:17:03.6787183Z if command -v nvidia-smi; then
2025-12-04T11:17:03.6787674Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T11:17:03.6788399Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T11:17:03.6788981Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T11:17:03.6789450Z   python3 -mpip install torch==2.7.1
2025-12-04T11:17:03.6789829Z elif command -v rocminfo; then
2025-12-04T11:17:03.6790313Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T11:17:03.6790911Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T11:17:03.6791531Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T11:17:03.6792072Z   # GPU device name coming from rocminfo instead
2025-12-04T11:17:03.6792451Z   DEVICE_NAME=rocm
2025-12-04T11:17:03.6792971Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T11:17:03.6793517Z fi
2025-12-04T11:17:03.6793995Z 
2025-12-04T11:17:03.6794277Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T11:17:03.6794730Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T11:17:03.6804919Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:03.6805321Z env:
2025-12-04T11:17:03.6805572Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:03.6805855Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:03.6806341Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:03.6806893Z ##[endgroup]
2025-12-04T11:17:03.6844378Z + [[ -n '' ]]
2025-12-04T11:17:03.6844803Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T11:17:03.9488203Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T11:17:05.1265717Z Collecting boto3==1.35.33
2025-12-04T11:17:05.1440013Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T11:17:05.4857268Z Collecting psutil==7.0.0
2025-12-04T11:17:05.4898084Z   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)
2025-12-04T11:17:05.5207616Z Collecting pynvml==12.0.0
2025-12-04T11:17:05.5242201Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T11:17:06.7560531Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T11:17:06.7599346Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T11:17:06.9099878Z 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)
2025-12-04T11:17:06.9530423Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T11:17:06.9565934Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T11:17:07.0083024Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T11:17:07.0119890Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T11:17:07.0220171Z 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)
2025-12-04T11:17:07.0231758Z 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)
2025-12-04T11:17:07.1866457Z 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)
2025-12-04T11:17:07.3312015Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T11:17:07.8687163Z   Attempting uninstall: nvidia-ml-py
2025-12-04T11:17:07.8688244Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T11:17:07.8709420Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T11:17:07.8942899Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T11:17:07.9574471Z   Attempting uninstall: psutil
2025-12-04T11:17:07.9575178Z     Found existing installation: psutil 5.9.8
2025-12-04T11:17:07.9653559Z     Uninstalling psutil-5.9.8:
2025-12-04T11:17:07.9660350Z       Successfully uninstalled psutil-5.9.8
2025-12-04T11:17:08.1394840Z 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
2025-12-04T11:17:08.2524591Z + DEVICE_NAME=
2025-12-04T11:17:08.2524877Z + DEVICE_TYPE=
2025-12-04T11:17:08.2525147Z + command -v nvidia-smi
2025-12-04T11:17:08.2525422Z + command -v rocminfo
2025-12-04T11:17:08.2525690Z + echo DEVICE_NAME=
2025-12-04T11:17:08.2526790Z + echo DEVICE_TYPE=
2025-12-04T11:17:08.2549232Z ##[group]Run set -eux
2025-12-04T11:17:08.2549514Z set -eux
2025-12-04T11:17:08.2549761Z 
2025-12-04T11:17:08.2550024Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T11:17:08.2550690Z   echo "Missing github-token input"
2025-12-04T11:17:08.2551044Z   exit 1
2025-12-04T11:17:08.2551285Z fi
2025-12-04T11:17:08.2559120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:08.2559538Z env:
2025-12-04T11:17:08.2559777Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:08.2560056Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:08.2560536Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:08.2561074Z   DEVICE_NAME: 
2025-12-04T11:17:08.2561315Z   DEVICE_TYPE: 
2025-12-04T11:17:08.2561787Z   GITHUB_TOKEN: ***
2025-12-04T11:17:08.2562042Z ##[endgroup]
2025-12-04T11:17:08.2589915Z + [[ -z *** ]]
2025-12-04T11:17:08.2638596Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T11:17:08.2639341Z with:
2025-12-04T11:17:08.2639735Z   github-token: ***
2025-12-04T11:17:08.2639970Z env:
2025-12-04T11:17:08.2640198Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:08.2640495Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:08.2640965Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:08.2641511Z   DEVICE_NAME: 
2025-12-04T11:17:08.2641756Z   DEVICE_TYPE: 
2025-12-04T11:17:08.2641981Z ##[endgroup]
2025-12-04T11:17:08.2656931Z ##[group]Run set -eux
2025-12-04T11:17:08.2657201Z set -eux
2025-12-04T11:17:08.2657442Z 
2025-12-04T11:17:08.2657962Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T11:17:08.2664141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:08.2664552Z env:
2025-12-04T11:17:08.2664780Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:08.2665169Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:08.2665794Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:08.2666333Z   DEVICE_NAME: 
2025-12-04T11:17:08.2666583Z   DEVICE_TYPE: 
2025-12-04T11:17:08.2666975Z   GITHUB_TOKEN: ***
2025-12-04T11:17:08.2667225Z ##[endgroup]
2025-12-04T11:17:08.2693213Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-035d8389914ce5d08
2025-12-04T11:17:11.5643716Z setting job-id=57118431054
2025-12-04T11:17:11.5644727Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T11:17:11.5760396Z ##[group]Run set -eux
2025-12-04T11:17:11.5760701Z set -eux
2025-12-04T11:17:11.5760950Z 
2025-12-04T11:17:11.5761176Z if [[ -n "" ]]; then
2025-12-04T11:17:11.5761475Z   source ""
2025-12-04T11:17:11.5761736Z fi
2025-12-04T11:17:11.5762063Z 
2025-12-04T11:17:11.5762500Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T11:17:11.5763076Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T11:17:11.5763456Z   --repo "${REPO}" \
2025-12-04T11:17:11.5763778Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T11:17:11.5764203Z   --head-sha "${HEAD_SHA}" \
2025-12-04T11:17:11.5764575Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T11:17:11.5764966Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T11:17:11.5765330Z   --job-id "${JOB_ID}" \
2025-12-04T11:17:11.5783580Z   --job-name "${JOB_NAME}"
2025-12-04T11:17:11.5791098Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:11.5791516Z env:
2025-12-04T11:17:11.5791756Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:11.5792035Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:11.5792533Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:11.5793078Z   DEVICE_NAME: 
2025-12-04T11:17:11.5793321Z   DEVICE_TYPE: 
2025-12-04T11:17:11.5793866Z   SCHEMA_VERSION: v3
2025-12-04T11:17:11.5794142Z   REPO: pytorch/pytorch
2025-12-04T11:17:11.5794427Z   HEAD_BRANCH: refs/heads/main
2025-12-04T11:17:11.5794773Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T11:17:11.5795171Z   WORKFLOW_RUN_ID: 19922826259
2025-12-04T11:17:11.5795459Z   RUN_ATTEMPT: 1
2025-12-04T11:17:11.5795690Z   JOB_ID: 57118431054
2025-12-04T11:17:11.5796208Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T11:17:11.5796788Z ##[endgroup]
2025-12-04T11:17:11.5829067Z + [[ -n '' ]]
2025-12-04T11:17:11.5831582Z + 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 19922826259 --run-attempt 1 --job-id 57118431054 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)'
2025-12-04T11:17:11.6165316Z ##[group]Run set -eux
2025-12-04T11:17:11.6165604Z set -eux
2025-12-04T11:17:11.6165916Z 
2025-12-04T11:17:11.6166190Z if [[ -n "" ]]; then
2025-12-04T11:17:11.6166487Z   source ""
2025-12-04T11:17:11.6166746Z fi
2025-12-04T11:17:11.6166958Z 
2025-12-04T11:17:11.6167388Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T11:17:11.6173851Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:11.6174252Z env:
2025-12-04T11:17:11.6174488Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:11.6174782Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:11.6175267Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:11.6175933Z   DEVICE_NAME: 
2025-12-04T11:17:11.6176183Z   DEVICE_TYPE: 
2025-12-04T11:17:11.6176426Z ##[endgroup]
2025-12-04T11:17:11.6203464Z + [[ -n '' ]]
2025-12-04T11:17:11.6204346Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T11:17:11.6632511Z INFO:root:Fail to import torch to get the device name
2025-12-04T11:17:11.6739649Z ##[group]Run set -eux
2025-12-04T11:17:11.6739933Z set -eux
2025-12-04T11:17:11.6740180Z 
2025-12-04T11:17:11.6740457Z # TODO (huydhn): Implement this part
2025-12-04T11:17:11.6740953Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T11:17:11.6747960Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:11.6748375Z env:
2025-12-04T11:17:11.6748607Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:11.6748899Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:11.6749502Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:11.6750040Z   DEVICE_NAME: 
2025-12-04T11:17:11.6750271Z   DEVICE_TYPE: 
2025-12-04T11:17:11.6750512Z ##[endgroup]
2025-12-04T11:17:11.6778062Z + echo 'dependencies={}'
2025-12-04T11:17:11.6800735Z ##[group]Run set -eux
2025-12-04T11:17:11.6801064Z set -eux
2025-12-04T11:17:11.6801548Z 
2025-12-04T11:17:11.6801788Z if [[ -n "" ]]; then
2025-12-04T11:17:11.6802074Z   source ""
2025-12-04T11:17:11.6802332Z fi
2025-12-04T11:17:11.6802557Z 
2025-12-04T11:17:11.6802826Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T11:17:11.6803307Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T11:17:11.6803842Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T11:17:11.6804270Z   exit 0
2025-12-04T11:17:11.6804497Z fi
2025-12-04T11:17:11.6804726Z 
2025-12-04T11:17:11.6804988Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T11:17:11.6805499Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T11:17:11.6806107Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T11:17:11.6806572Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T11:17:11.6806962Z     --runners "${RUNNER_INFO}" \
2025-12-04T11:17:11.6807326Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T11:17:11.6807687Z     --dry-run
2025-12-04T11:17:11.6807959Z else
2025-12-04T11:17:11.6808358Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T11:17:11.6808964Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T11:17:11.6809424Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T11:17:11.6809810Z     --runners "${RUNNER_INFO}" \
2025-12-04T11:17:11.6810178Z     --dependencies "${DEPENDENCIES}"
2025-12-04T11:17:11.6810524Z fi
2025-12-04T11:17:11.6816481Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:11.6816874Z env:
2025-12-04T11:17:11.6817110Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:11.6817399Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:11.6817867Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:11.6818409Z   DEVICE_NAME: 
2025-12-04T11:17:11.6818650Z   DEVICE_TYPE: 
2025-12-04T11:17:11.6818912Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T11:17:11.6819254Z   DRY_RUN: false
2025-12-04T11:17:11.6820762Z   BENCHMARK_METADATA: {"timestamp": 1764847031, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118431054}
2025-12-04T11:17:11.6822838Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-2-212.ec2.internal"}, "name": "", "type": ""}]
2025-12-04T11:17:11.6823536Z   DEPENDENCIES: {}
2025-12-04T11:17:11.6823783Z ##[endgroup]
2025-12-04T11:17:11.6849515Z + [[ -n '' ]]
2025-12-04T11:17:11.6849801Z + [[ ! -d test/test-reports ]]
2025-12-04T11:17:11.6850127Z + [[ false == \t\r\u\e ]]
2025-12-04T11:17:11.6853180Z + 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": 1764847031, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118431054}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-2-212.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-12-04T11:17:11.8405744Z /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': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_cuda'}, {'test_file': 'test_transformers'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_autograd'}, {'test_file': 'test_sparse'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'test_dataloader'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_decomp'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_linalg'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_ops'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_overrides'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_alignment'}, {'test_file': '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_dicts'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_nativert'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_export'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_package'}, {'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_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_ao_sparsity'}, {'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': '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': 'test_torch'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'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': 'test_weak'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'lazy/test_functionalization'}, {'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_utils'}, {'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': 'higher_order_ops/test_print'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'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_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_hub'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_type_hints'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_monitor'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_subclass'}, {'test_file': 'test_import_stats'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_futures'}, {'test_file': 'test_tensor_creation_ops'}, {'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_jit'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'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': 'nn/test_load_state_dict'}, {'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': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'nn/test_pooling'}, {'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': 'test_reductions'}, {'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': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'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-8b49dcf7881a8b0c9ff5.json is not a benchmark record, skipping
2025-12-04T11:17:11.8489784Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:17:11.8491662Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_jit'}, {'test_file': 'cpp/test_lazy'}], 'excluded': []} from test/test-reports/td_exclusions-ad9a61b7fe3e7cfb5fdf.json is not a benchmark record, skipping
2025-12-04T11:17:11.8493949Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:17:11.8573638Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T11:17:11.8574390Z cat test/**/*_toprint.log || true
2025-12-04T11:17:11.8581135Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:11.8581534Z env:
2025-12-04T11:17:11.8581783Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:11.8582081Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:11.8582548Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:11.8583089Z   DEVICE_NAME: 
2025-12-04T11:17:11.8583333Z   DEVICE_TYPE: 
2025-12-04T11:17:11.8583574Z ##[endgroup]
2025-12-04T11:17:11.8681417Z cat: 'test/**/*_toprint.log': No such file or directory
2025-12-04T11:17:11.8709774Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T11:17:11.8710169Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T11:17:11.8715981Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:11.8716467Z env:
2025-12-04T11:17:11.8716702Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:11.8716994Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:11.8717462Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:11.8718000Z   DEVICE_NAME: 
2025-12-04T11:17:11.8718242Z   DEVICE_TYPE: 
2025-12-04T11:17:11.8718557Z   MONITOR_SCRIPT_PID: 44733
2025-12-04T11:17:11.8718838Z ##[endgroup]
2025-12-04T11:17:11.8745594Z /home/ec2-user/actions-runner/_work/_temp/5daff059-616f-4fe1-bd55-d55fa2a59e69.sh: line 1: kill: (44733) - No such process
2025-12-04T11:17:11.8756522Z ##[error]Process completed with exit code 1.
2025-12-04T11:17:11.8903948Z Prepare all required actions
2025-12-04T11:17:11.8904411Z Getting action download info
2025-12-04T11:17:12.0536289Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T11:17:12.2978148Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T11:17:12.7700395Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T11:17:12.7700775Z with:
2025-12-04T11:17:12.7701113Z   file-suffix: test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T11:17:12.7701551Z   s3-bucket: gha-artifacts
2025-12-04T11:17:12.7701817Z env:
2025-12-04T11:17:12.7702068Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:12.7702355Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:12.7702846Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:12.7703366Z   DEVICE_NAME: 
2025-12-04T11:17:12.7703613Z   DEVICE_TYPE: 
2025-12-04T11:17:12.7703887Z ##[endgroup]
2025-12-04T11:17:12.7729876Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T11:17:12.7730370Z # Remove any previous test jsons if they exist
2025-12-04T11:17:12.7730776Z rm -f test-jsons-*.zip
2025-12-04T11:17:12.7731240Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T11:17:12.7737460Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:12.7737856Z env:
2025-12-04T11:17:12.7738090Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:12.7738385Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:12.7738846Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:12.7739388Z   DEVICE_NAME: 
2025-12-04T11:17:12.7739635Z   DEVICE_TYPE: 
2025-12-04T11:17:12.7739961Z   FILE_SUFFIX: test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T11:17:12.7740374Z ##[endgroup]
2025-12-04T11:17:12.7906856Z   adding: test/test-reports/td_exclusions-8b49dcf7881a8b0c9ff5.json (deflated 82%)
2025-12-04T11:17:12.7922263Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-1819eefc859eb421.json (deflated 94%)
2025-12-04T11:17:12.7936413Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-a4c0f1da46941ac4.json (deflated 95%)
2025-12-04T11:17:12.7938001Z   adding: test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-3bde3f84ebb160e0.json (deflated 80%)
2025-12-04T11:17:12.7963575Z   adding: test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-71abfaa000c596b1.json (deflated 90%)
2025-12-04T11:17:12.7964965Z   adding: test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-6ca17fdbf636c9c5.json (deflated 91%)
2025-12-04T11:17:12.7966425Z   adding: test/test-reports/python-pytest/dynamo.test_fx_graph_runnable/dynamo.test_fx_graph_runnable-4defdda460c5f8e2.json (deflated 88%)
2025-12-04T11:17:12.7968044Z   adding: test/test-reports/python-pytest/dynamo.test_backends/dynamo.test_backends-67da6788426d5a50.json (deflated 77%)
2025-12-04T11:17:12.7970057Z   adding: test/test-reports/python-pytest/inductor.test_decompose_mem_bound_mm/inductor.test_decompose_mem_bound_mm-f62f17e12dc4d7ca.json (deflated 97%)
2025-12-04T11:17:12.7972275Z   adding: test/test-reports/python-pytest/dynamo.test_streams/dynamo.test_streams-6744b2680aecd2a7.json (deflated 94%)
2025-12-04T11:17:12.7974170Z   adding: test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-72f34bdd943d6d3f.json (stored 0%)
2025-12-04T11:17:12.7976235Z   adding: test/test-reports/python-pytest/dynamo.test_aot_compile/dynamo.test_aot_compile-f2ca274675cb3be0.json (deflated 88%)
2025-12-04T11:17:12.7979071Z   adding: test/test-reports/python-pytest/dynamo.test_decorators/dynamo.test_decorators-c36a9be87a007529.json (deflated 91%)
2025-12-04T11:17:12.7980850Z   adding: test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-d52df96129c4b5a7.json (stored 0%)
2025-12-04T11:17:12.7982410Z   adding: test/test-reports/python-pytest/test_sparse/test_sparse-9feb5a7f885291ad.json (deflated 92%)
2025-12-04T11:17:12.7984155Z   adding: test/test-reports/python-pytest/higher_order_ops.test_local_map/higher_order_ops.test_local_map-457c5781d7e722f9.json (deflated 85%)
2025-12-04T11:17:12.7986069Z   adding: test/test-reports/python-pytest/test_dataloader/test_dataloader-be89a379034b9207.json (deflated 94%)
2025-12-04T11:17:12.7987684Z   adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-e1d6ff44853d4137.json (stored 0%)
2025-12-04T11:17:12.7989334Z   adding: test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-b145c59d643019d3.json (stored 0%)
2025-12-04T11:17:12.7995142Z   adding: test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-461978e0ce6e9feb.json (deflated 96%)
2025-12-04T11:17:12.8003310Z   adding: test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-d7ef8ffbcdb144be.json (deflated 96%)
2025-12-04T11:17:12.8005280Z   adding: test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-a1e1d8eed98aaf8a.json (deflated 84%)
2025-12-04T11:17:12.8007351Z   adding: test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-52ca62ad19de2eaa.json (deflated 95%)
2025-12-04T11:17:12.8016662Z   adding: test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-a0c1e9d3c77d86ce.json (deflated 96%)
2025-12-04T11:17:12.8018682Z   adding: test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-7fa175c8be9997f1.json (stored 0%)
2025-12-04T11:17:12.8025414Z   adding: test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-b2250578b15b4590.json (deflated 94%)
2025-12-04T11:17:12.8027301Z   adding: test/test-reports/python-pytest/test_content_store/test_content_store-43adfbb5105c4f53.json (stored 0%)
2025-12-04T11:17:12.8028986Z   adding: test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-6a2f16c61c38964f.json (deflated 82%)
2025-12-04T11:17:12.8038307Z   adding: test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-5a857f5158cb47a1.json (deflated 98%)
2025-12-04T11:17:12.8040213Z   adding: test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-4a51aa60ec267903.json (deflated 87%)
2025-12-04T11:17:12.8042159Z   adding: test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-1208374ef629b7a3.json (deflated 80%)
2025-12-04T11:17:12.8044116Z   adding: test/test-reports/python-pytest/dynamo.test_skip_guard_eval_unsafe/dynamo.test_skip_guard_eval_unsafe-3f744dc7da29f97b.json (deflated 80%)
2025-12-04T11:17:12.8046118Z   adding: test/test-reports/python-pytest/dynamo.test_buffers_override/dynamo.test_buffers_override-0689958511b7d576.json (deflated 70%)
2025-12-04T11:17:12.8047878Z   adding: test/test-reports/python-pytest/dynamo.test_view/dynamo.test_view-0cbf5cc7800c5bfc.json (deflated 84%)
2025-12-04T11:17:12.8049657Z   adding: test/test-reports/python-pytest/inductor.test_cutlass_evt/inductor.test_cutlass_evt-aaeef0f7460d525c.json (deflated 89%)
2025-12-04T11:17:12.8051653Z   adding: test/test-reports/python-pytest/dynamo.test_reconstruct/dynamo.test_reconstruct-53cc511706d9bfdf.json (deflated 88%)
2025-12-04T11:17:12.8053456Z   adding: test/test-reports/python-pytest/dynamo.test_aot_autograd/dynamo.test_aot_autograd-f5d43350674d61fa.json (deflated 88%)
2025-12-04T11:17:12.8060216Z   adding: test/test-reports/python-pytest/inductor.test_cache/inductor.test_cache-34e426b299db676c.json (deflated 98%)
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2025-12-04T11:17:12.8312160Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T11:17:12.8312682Z # Remove any previous test reports if they exist
2025-12-04T11:17:12.8313100Z rm -f test-reports-*.zip
2025-12-04T11:17:12.8313620Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T11:17:12.8319933Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:12.8320331Z env:
2025-12-04T11:17:12.8320558Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:12.8320832Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:12.8321305Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:12.8321837Z   DEVICE_NAME: 
2025-12-04T11:17:12.8322102Z   DEVICE_TYPE: 
2025-12-04T11:17:12.8322438Z   FILE_SUFFIX: test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T11:17:12.8322853Z ##[endgroup]
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2025-12-04T11:17:12.8538508Z   adding: test/test-reports/python-pytest/dynamo.test_aot_autograd/dynamo.test_aot_autograd-f5d43350674d61fa.xml (deflated 85%)
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2025-12-04T11:17:12.8769614Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T11:17:12.8770113Z # Remove any previous usage logs if they exist
2025-12-04T11:17:12.8770519Z rm -f logs-*.zip
2025-12-04T11:17:12.8770930Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T11:17:12.8771493Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T11:17:12.8777619Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:12.8778027Z env:
2025-12-04T11:17:12.8778258Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:12.8778536Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:12.8779010Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:12.8779633Z   DEVICE_NAME: 
2025-12-04T11:17:12.8779863Z   DEVICE_TYPE: 
2025-12-04T11:17:12.8780202Z   FILE_SUFFIX: test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T11:17:12.8780619Z ##[endgroup]
2025-12-04T11:17:12.8839465Z   adding: usage_log.txt (deflated 58%)
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2025-12-04T11:17:12.9049182Z   adding: test/test-reports/inductor.test_cutlass_backend_1.1_2c8ac4bd268f615a_.log (deflated 5%)
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2025-12-04T11:17:12.9055666Z   adding: test/test-reports/inductor.test_cooperative_reductions_1.1_b2ab57434aff3c9e_.log (deflated 5%)
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2025-12-04T11:17:12.9057414Z   adding: test/test-reports/inductor.test_coordinate_descent_tuner_1.1_7f6b23ac7561e5aa_.log (deflated 5%)
2025-12-04T11:17:12.9058263Z   adding: test/test-reports/dynamo.test_recompiles_1.1_a0832bd2f8552b41_.log (deflated 78%)
2025-12-04T11:17:12.9066953Z   adding: test/test-reports/inductor.test_foreach_1.1_66a8e017b4486275_.log (deflated 95%)
2025-12-04T11:17:12.9067763Z   adding: test/test-reports/inductor.test_triton_wrapper_1.1_30c81cbc73bc47f0_.log (deflated 4%)
2025-12-04T11:17:12.9068620Z   adding: test/test-reports/inductor.test_provenance_tracing_1.1_b3d6e6771bac9128_.log (deflated 79%)
2025-12-04T11:17:12.9069467Z   adding: test/test-reports/dynamo.test_skip_non_tensor_1.1_40f6d63b4e0e00f8_.log (deflated 68%)
2025-12-04T11:17:12.9070317Z   adding: test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_7d69c1368b7f154b_.log (deflated 64%)
2025-12-04T11:17:12.9071132Z   adding: test/test-reports/inductor.test_best_config_1.1_916699664fff3884_.log (deflated 5%)
2025-12-04T11:17:12.9071938Z   adding: test/test-reports/dynamo.test_buffers_override_1.1_88eec340c26b14f9_.log (deflated 55%)
2025-12-04T11:17:12.9072784Z   adding: test/test-reports/inductor.test_split_cat_fx_passes_1.1_eab789858e5f5dac_.log (deflated 5%)
2025-12-04T11:17:12.9073618Z   adding: test/test-reports/inductor.test_mem_estimation_1.1_86eab37f498b7695_.log (deflated 5%)
2025-12-04T11:17:12.9074374Z   adding: test/test-reports/dynamo.test_view_1.1_2d49025e63bed969_.log (deflated 63%)
2025-12-04T11:17:12.9075130Z   adding: test/test-reports/inductor.test_cutlass_evt_1.1_8215f41d5e1ff713_.log (deflated 67%)
2025-12-04T11:17:12.9075922Z   adding: test/test-reports/dynamo.test_reconstruct_1.1_cede6b4dd1696145_.log (deflated 76%)
2025-12-04T11:17:12.9076787Z   adding: test/test-reports/dynamo.test_aot_autograd_1.1_e248f30f4a7ae5e6_.log (deflated 89%)
2025-12-04T11:17:12.9094147Z   adding: test/test-reports/inductor.test_cache_1.1_43c75081bfa687ff_.log (deflated 95%)
2025-12-04T11:17:12.9095047Z   adding: test/test-reports/inductor.test_block_analysis_1.1_6d636440b0cb04c2_.log (deflated 74%)
2025-12-04T11:17:12.9096745Z   adding: test/test-reports/dynamo.test_subgraphs_1.1_f0a04f654afa50a6_.log (deflated 81%)
2025-12-04T11:17:12.9097607Z   adding: test/test-reports/dynamo.test_pre_dispatch_1.1_9d1aa0d4337957fe_.log (deflated 56%)
2025-12-04T11:17:12.9098327Z   adding: test/test-reports/test_mkldnn_1.1_2f7628017b3527bd_.log (deflated 45%)
2025-12-04T11:17:12.9099196Z   adding: test/test-reports/inductor.test_custom_post_grad_passes_1.1_3ead49264b4f974f_.log (deflated 70%)
2025-12-04T11:17:12.9100048Z   adding: test/test-reports/dynamo.test_fx_annotate_1.1_bd748723c01cbeab_.log (deflated 62%)
2025-12-04T11:17:12.9100798Z   adding: test/test-reports/dynamo.test_pgo_1.1_98c935b432b2b9ae_.log (deflated 65%)
2025-12-04T11:17:12.9101550Z   adding: test/test-reports/export.test_export_opinfo_1.1_09bdfc4db720ad56_.log (deflated 48%)
2025-12-04T11:17:12.9102316Z   adding: test/test-reports/dynamo.test_nops_1.1_1ead22dc070c04dc_.log (deflated 56%)
2025-12-04T11:17:12.9103088Z   adding: test/test-reports/dynamo.test_export_mutations_1.1_ac4816a87e380914_.log (deflated 68%)
2025-12-04T11:17:12.9103887Z   adding: test/test-reports/inductor.test_config_1.1_e10f81fe32dda550_.log (deflated 71%)
2025-12-04T11:17:12.9104629Z   adding: test/test-reports/dynamo.test_global_1.1_ce9a98f10ac78292_.log (deflated 71%)
2025-12-04T11:17:12.9112451Z   adding: test/test-reports/inductor.test_ordered_set_1.1_286ed88f6c11087c_.log (deflated 91%)
2025-12-04T11:17:12.9113226Z   adding: test/test-reports/inductor.test_pallas_1.1_b0b6de150bcae2d7_.log (deflated 5%)
2025-12-04T11:17:12.9114037Z   adding: test/test-reports/dynamo.test_install_free_tensors_1.1_2763be39ef3aaa18_.log (deflated 81%)
2025-12-04T11:17:12.9115503Z   adding: test/test-reports/dynamo.test_autograd_function_1.1_b9782dabcf8c9d3a_.log (deflated 82%)
2025-12-04T11:17:12.9124691Z   adding: test/test-reports/inductor.test_codecache_1.1_e6842d07291dff44_.log (deflated 93%)
2025-12-04T11:17:12.9125523Z   adding: test/test-reports/inductor.test_needs_exact_strides_1.1_450e9313749957f0_.log (deflated 6%)
2025-12-04T11:17:12.9126382Z   adding: test/test-reports/dynamo.test_verify_correctness_1.1_c3b79c3a679bf033_.log (deflated 67%)
2025-12-04T11:17:12.9127213Z   adding: test/test-reports/inductor.test_fxir_backend_1.1_9e5daef544e7eda3_.log (deflated 5%)
2025-12-04T11:17:12.9131073Z   adding: test/test-reports/inductor.test_caching_1.1_fafb1d79ad29f046_.log (deflated 93%)
2025-12-04T11:17:12.9131819Z   adding: test/test-reports/export.test_hop_1.1_770c12f7778277cb_.log (deflated 46%)
2025-12-04T11:17:12.9132557Z   adding: test/test-reports/export.test_upgrader_1.1_43edf372a4a4f2ab_.log (deflated 64%)
2025-12-04T11:17:12.9133660Z   adding: test/test-reports/dynamo.test_hooks_1.1_d97883a80dc94c54_.log (deflated 80%)
2025-12-04T11:17:12.9135383Z   adding: test/test-reports/dynamo.test_exceptions_1.1_811ee9e7660d9712_.log (deflated 83%)
2025-12-04T11:17:12.9137678Z   adding: test/test-reports/dynamo.test_generator_1.1_b16cd6d4826396f6_.log (deflated 86%)
2025-12-04T11:17:12.9138449Z   adding: test/test-reports/export.test_lift_unlift_1.1_84ae178ff1fbe715_.log (deflated 59%)
2025-12-04T11:17:12.9139364Z   adding: test/test-reports/export.test_verifier_1.1_5d6c91b91cbb37f6_.log (deflated 69%)
2025-12-04T11:17:12.9141962Z   adding: test/test-reports/export.test_sparse_2.2_b420429921a3a955_.log (deflated 88%)
2025-12-04T11:17:12.9142708Z   adding: test/test-reports/xpu.test_fusion_1.1_1e57d3e89a83815f_.log (deflated 46%)
2025-12-04T11:17:12.9143463Z   adding: test/test-reports/test_expanded_weights_1.1_74d134eaa6b0d3f3_.log (deflated 49%)
2025-12-04T11:17:12.9144184Z   adding: test/test-reports/test_complex_1.1_41277c8aa87cfc84_.log (deflated 46%)
2025-12-04T11:17:12.9145013Z   adding: test/test-reports/test_binary_ufuncs_1.1_275b2a5b782899c8_.log (deflated 46%)
2025-12-04T11:17:12.9145847Z   adding: test/test-reports/lazy.test_step_closures_1.1_4f9a08deeaee4a6d_.log (deflated 60%)
2025-12-04T11:17:12.9146651Z   adding: test/test-reports/profiler.test_cpp_thread_1.1_95ec770b742fafab_.log (deflated 70%)
2025-12-04T11:17:12.9147374Z   adding: test/test-reports/test_hub_1.1_a732c6c8849ba740_.log (deflated 69%)
2025-12-04T11:17:12.9148133Z   adding: test/test-reports/test_opaque_obj_v2_1.1_b5710171c05f59c4_.log (deflated 70%)
2025-12-04T11:17:12.9149260Z   adding: test/test-reports/test_functionalization_of_rng_ops_1.1_2e7343ed22507541_.log (deflated 48%)
2025-12-04T11:17:12.9150090Z   adding: test/test-reports/test_fx_reinplace_pass_1.1_75a8b23c649b5481_.log (deflated 74%)
2025-12-04T11:17:12.9199390Z   adding: test/test-reports/functorch.test_control_flow_1.1_ca61f3c78862dd6f_.log (deflated 97%)
2025-12-04T11:17:12.9200275Z   adding: test/test-reports/test_autocast_1.1_da81629563b4133b_.log (deflated 75%)
2025-12-04T11:17:12.9201137Z   adding: test/test-reports/test_logging_1.1_53d3a96924d80a2b_.log (deflated 47%)
2025-12-04T11:17:12.9203746Z   adding: test/test-reports/test_python_dispatch_1.1_5e0f94cd35a1aa78_.log (deflated 85%)
2025-12-04T11:17:12.9205391Z   adding: test/test-reports/nn.test_lazy_modules_1.1_dacade49fca1107c_.log (deflated 85%)
2025-12-04T11:17:12.9206564Z   adding: test/test-reports/nn.test_pruning_1.1_bc17a9d2e1d90191_.log (deflated 80%)
2025-12-04T11:17:12.9207268Z   adding: test/test-reports/test_monitor_1.1_b9da4e274412fdee_.log (deflated 60%)
2025-12-04T11:17:12.9208191Z   adding: test/test-reports/test_bundled_inputs_1.1_aa648251c9cedf83_.log (deflated 72%)
2025-12-04T11:17:12.9214977Z   adding: test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_d382c02675244c44_.log (deflated 90%)
2025-12-04T11:17:12.9215779Z   adding: test/test-reports/test_native_mha_1.1_9108b99cfa129dea_.log (deflated 46%)
2025-12-04T11:17:12.9236091Z   adding: test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_dc4e1aa026ae6292_.log (deflated 93%)
2025-12-04T11:17:12.9236905Z   adding: test/test-reports/test_masked_1.1_fb7a9be0853c92b7_.log (deflated 45%)
2025-12-04T11:17:12.9237658Z   adding: test/test-reports/test_cpp_extensions_mtia_backend_1.1_a9d267d68e839810_.log (deflated 67%)
2025-12-04T11:17:12.9238444Z   adding: test/test-reports/lazy.test_ts_opinfo_1.1_ef9d475757abe78c_.log (deflated 58%)
2025-12-04T11:17:12.9249793Z   adding: test/test-reports/test_dynamic_shapes_1.1_52020da8f3db57ac_.log (deflated 91%)
2025-12-04T11:17:12.9250543Z   adding: test/test-reports/optim.test_swa_utils_1.1_de05dafa1049cfc5_.log (deflated 15%)
2025-12-04T11:17:12.9251277Z   adding: test/test-reports/test_type_promotion_1.1_53f7faf08dc345eb_.log (deflated 47%)
2025-12-04T11:17:12.9252108Z   adding: test/test-reports/cpp_extensions.test_libtorch_agnostic_1.1_3d58a589639506af_.log (deflated 49%)
2025-12-04T11:17:12.9254012Z   adding: test/test-reports/test_datapipe_1.1_4aa63d30fd7f99a3_.log (deflated 85%)
2025-12-04T11:17:12.9254720Z   adding: test/test-reports/test_reductions_1.1_04b0cdf9eb64cdd3_.log (deflated 46%)
2025-12-04T11:17:12.9257727Z   adding: test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_2e215205f3bb62be_.log (deflated 91%)
2025-12-04T11:17:12.9258532Z   adding: test/test-reports/test_vulkan_1.1_ac3050616ef7c77a_.log (deflated 47%)
2025-12-04T11:17:12.9259237Z   adding: test/test-reports/lazy.test_generator_1.1_94532855997701c1_.log (deflated 53%)
2025-12-04T11:17:12.9260552Z   adding: test/test-reports/nn.test_convolution_1.1_3c1d206ba45dfb5c_.log (deflated 83%)
2025-12-04T11:17:12.9286006Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T11:17:12.9286679Z # Remove any previous debugging artifacts if they exist
2025-12-04T11:17:12.9287125Z rm -f debug-*.zip
2025-12-04T11:17:12.9287421Z if [ -d 'test/debug' ]; then
2025-12-04T11:17:12.9287811Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T11:17:12.9288259Z fi
2025-12-04T11:17:12.9294389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:12.9294799Z env:
2025-12-04T11:17:12.9295042Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:12.9295323Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:12.9295803Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:12.9296395Z   DEVICE_NAME: 
2025-12-04T11:17:12.9296645Z   DEVICE_TYPE: 
2025-12-04T11:17:12.9296975Z   FILE_SUFFIX: test-nogpu_AVX512-2-3-linux.4xlarge_57118431054
2025-12-04T11:17:12.9297394Z ##[endgroup]
2025-12-04T11:17:12.9393491Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:17:12.9394157Z with:
2025-12-04T11:17:12.9394398Z   s3-bucket: gha-artifacts
2025-12-04T11:17:12.9394744Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:17:12.9395110Z   retention-days: 14
2025-12-04T11:17:12.9395383Z   if-no-files-found: warn
2025-12-04T11:17:12.9395680Z   path: test-jsons-*.zip
2025-12-04T11:17:12.9395944Z   name: artifact
2025-12-04T11:17:12.9396191Z   region: us-east-1
2025-12-04T11:17:12.9396436Z env:
2025-12-04T11:17:12.9396661Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:12.9396936Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:12.9397413Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:12.9397952Z   DEVICE_NAME: 
2025-12-04T11:17:12.9398179Z   DEVICE_TYPE: 
2025-12-04T11:17:12.9398414Z ##[endgroup]
2025-12-04T11:17:13.3072064Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T11:17:13.3072858Z With the provided path, there will be 1 file uploaded
2025-12-04T11:17:13.3073370Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T11:17:13.3122897Z Starting upload of test-jsons-test-nogpu_AVX512-2-3-linux.4xlarge_57118431054.zip
2025-12-04T11:17:13.4522045Z Finished upload of test-jsons-test-nogpu_AVX512-2-3-linux.4xlarge_57118431054.zip
2025-12-04T11:17:13.4720028Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:17:13.4720381Z with:
2025-12-04T11:17:13.4720622Z   s3-bucket: gha-artifacts
2025-12-04T11:17:13.4720969Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:17:13.4721335Z   retention-days: 14
2025-12-04T11:17:13.4721610Z   if-no-files-found: error
2025-12-04T11:17:13.4721912Z   path: test-reports-*.zip
2025-12-04T11:17:13.4722190Z   name: artifact
2025-12-04T11:17:13.4722437Z   region: us-east-1
2025-12-04T11:17:13.4722680Z env:
2025-12-04T11:17:13.4722891Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:13.4723177Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:13.4723663Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:13.4724196Z   DEVICE_NAME: 
2025-12-04T11:17:13.4724424Z   DEVICE_TYPE: 
2025-12-04T11:17:13.4724660Z ##[endgroup]
2025-12-04T11:17:13.9024778Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T11:17:13.9025349Z With the provided path, there will be 1 file uploaded
2025-12-04T11:17:13.9025870Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T11:17:13.9076564Z Starting upload of test-reports-test-nogpu_AVX512-2-3-linux.4xlarge_57118431054.zip
2025-12-04T11:17:14.1651844Z Finished upload of test-reports-test-nogpu_AVX512-2-3-linux.4xlarge_57118431054.zip
2025-12-04T11:17:14.1857300Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:17:14.1857665Z with:
2025-12-04T11:17:14.1857906Z   s3-bucket: gha-artifacts
2025-12-04T11:17:14.1858253Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:17:14.1858734Z   retention-days: 14
2025-12-04T11:17:14.1859024Z   if-no-files-found: ignore
2025-12-04T11:17:14.1859332Z   path: logs-*.zip
2025-12-04T11:17:14.1859570Z   name: artifact
2025-12-04T11:17:14.1859816Z   region: us-east-1
2025-12-04T11:17:14.1860064Z env:
2025-12-04T11:17:14.1860282Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:14.1860573Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:14.1861054Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:14.1861707Z   DEVICE_NAME: 
2025-12-04T11:17:14.1861936Z   DEVICE_TYPE: 
2025-12-04T11:17:14.1862175Z ##[endgroup]
2025-12-04T11:17:14.5224989Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T11:17:14.5225585Z With the provided path, there will be 1 file uploaded
2025-12-04T11:17:14.5226079Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T11:17:14.5274177Z Starting upload of logs-test-nogpu_AVX512-2-3-linux.4xlarge_57118431054.zip
2025-12-04T11:17:14.6752882Z Finished upload of logs-test-nogpu_AVX512-2-3-linux.4xlarge_57118431054.zip
2025-12-04T11:17:14.6947356Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:17:14.6947737Z with:
2025-12-04T11:17:14.6947978Z   s3-bucket: gha-artifacts
2025-12-04T11:17:14.6948314Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:17:14.6948698Z   retention-days: 14
2025-12-04T11:17:14.6948974Z   if-no-files-found: ignore
2025-12-04T11:17:14.6949269Z   path: debug-*.zip
2025-12-04T11:17:14.6949524Z   name: artifact
2025-12-04T11:17:14.6949775Z   region: us-east-1
2025-12-04T11:17:14.6950008Z env:
2025-12-04T11:17:14.6950245Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:14.6950539Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:14.6951002Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:14.6951550Z   DEVICE_NAME: 
2025-12-04T11:17:14.6951795Z   DEVICE_TYPE: 
2025-12-04T11:17:14.6952026Z ##[endgroup]
2025-12-04T11:17:15.0914402Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T11:17:15.1122394Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T11:17:15.1122808Z # shellcheck disable=SC2156
2025-12-04T11:17:15.1123448Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T11:17:15.1130762Z shell: /usr/bin/bash -e {0}
2025-12-04T11:17:15.1131067Z env:
2025-12-04T11:17:15.1131311Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:15.1131590Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:15.1132070Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:15.1132601Z   DEVICE_NAME: 
2025-12-04T11:17:15.1132840Z   DEVICE_TYPE: 
2025-12-04T11:17:15.1133067Z ##[endgroup]
2025-12-04T11:17:15.4812235Z Prepare all required actions
2025-12-04T11:17:15.4812750Z Getting action download info
2025-12-04T11:17:15.7982802Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T11:17:16.1912109Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T11:17:16.1912690Z with:
2025-12-04T11:17:16.1912945Z   job_id: 57118431054
2025-12-04T11:17:16.1913745Z   job_name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 2, 3, linux.4xlarge, mem_leak_check)
2025-12-04T11:17:16.1914701Z   workflow_name: periodic
2025-12-04T11:17:16.1915085Z   workflow_run_id: 19922826259
2025-12-04T11:17:16.1915504Z   workflow_attempt: 1
2025-12-04T11:17:16.1915835Z env:
2025-12-04T11:17:16.1916094Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:16.1916483Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:16.1917217Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:16.1918061Z   DEVICE_NAME: 
2025-12-04T11:17:16.1918399Z   DEVICE_TYPE: 
2025-12-04T11:17:16.1918695Z ##[endgroup]
2025-12-04T11:17:16.1971418Z ##[group]Run actions/setup-python@v6
2025-12-04T11:17:16.1971874Z with:
2025-12-04T11:17:16.1972157Z   python-version: 3.10
2025-12-04T11:17:16.1972506Z   check-latest: false
2025-12-04T11:17:16.1973010Z   token: ***
2025-12-04T11:17:16.1973323Z   update-environment: true
2025-12-04T11:17:16.1973735Z   allow-prereleases: false
2025-12-04T11:17:16.1974120Z   freethreaded: false
2025-12-04T11:17:16.1974455Z env:
2025-12-04T11:17:16.1974733Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:16.1975113Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:16.1975843Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:16.1976802Z   DEVICE_NAME: 
2025-12-04T11:17:16.1977095Z   DEVICE_TYPE: 
2025-12-04T11:17:16.1977394Z ##[endgroup]
2025-12-04T11:17:16.7012714Z ##[group]Installed versions
2025-12-04T11:17:16.7023215Z Version 3.10 was not found in the local cache
2025-12-04T11:17:16.7358003Z (node:174865) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T11:17:16.7359075Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T11:17:17.1736976Z ##[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
2025-12-04T11:17:17.1918596Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T11:17:17.1919070Z with:
2025-12-04T11:17:17.1919302Z env:
2025-12-04T11:17:17.1919524Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:17.1919826Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:17.1920309Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:17.1920829Z   DEVICE_NAME: 
2025-12-04T11:17:17.1921069Z   DEVICE_TYPE: 
2025-12-04T11:17:17.1921306Z ##[endgroup]
2025-12-04T11:17:17.1937606Z ##[group]Run set -eou pipefail
2025-12-04T11:17:17.1937937Z set -eou pipefail
2025-12-04T11:17:17.1938227Z 
2025-12-04T11:17:17.1938625Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T11:17:17.1939130Z for _ in $(seq 1440); do
2025-12-04T11:17:17.1939476Z     # Break if no ssh session exists anymore
2025-12-04T11:17:17.1939857Z     if [ "$(who)" = "" ]; then
2025-12-04T11:17:17.1940208Z       break
2025-12-04T11:17:17.1940459Z     fi
2025-12-04T11:17:17.1940701Z     echo "."
2025-12-04T11:17:17.1940964Z     sleep 5
2025-12-04T11:17:17.1941203Z done
2025-12-04T11:17:17.1947288Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:17.1947695Z env:
2025-12-04T11:17:17.1947911Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:17.1948203Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:17.1948680Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:17.1949206Z   DEVICE_NAME: 
2025-12-04T11:17:17.1949450Z   DEVICE_TYPE: 
2025-12-04T11:17:17.1949695Z ##[endgroup]
2025-12-04T11:17:17.1976823Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T11:17:17.2057966Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T11:17:17.2058564Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T11:17:17.2059059Z # shellcheck disable=SC2046
2025-12-04T11:17:17.2059426Z docker stop $(docker ps -q) || true
2025-12-04T11:17:17.2059794Z # Prune all of the docker images
2025-12-04T11:17:17.2060152Z docker system prune -af
2025-12-04T11:17:17.2066051Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:17.2066447Z env:
2025-12-04T11:17:17.2066681Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:17:17.2066974Z   HAS_NVIDIA_GPU: false
2025-12-04T11:17:17.2067439Z   DOCKER_CONTAINER_ID: d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:17.2067980Z   DEVICE_NAME: 
2025-12-04T11:17:17.2068225Z   DEVICE_TYPE: 
2025-12-04T11:17:17.2068459Z ##[endgroup]
2025-12-04T11:17:28.0718871Z d09d64dee7b6
2025-12-04T11:17:29.2422080Z Deleted Containers:
2025-12-04T11:17:29.2422541Z d09d64dee7b647619040723f0850517668f3103e5b2553856b2b1dcb31d08dcf
2025-12-04T11:17:29.2422907Z 
2025-12-04T11:17:34.8810034Z Deleted Images:
2025-12-04T11:17:34.8811626Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T11:17:34.8814300Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97
2025-12-04T11:17:34.8816022Z deleted: sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301
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2025-12-04T11:17:34.8914806Z Total reclaimed space: 35.69GB
2025-12-04T11:17:34.9023960Z Post job cleanup.
2025-12-04T11:17:34.9077582Z Post job cleanup.
2025-12-04T11:17:35.0456891Z (node:174963) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T11:17:35.0458378Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T11:17:35.0625609Z Post job cleanup.
2025-12-04T11:17:35.0679813Z Post job cleanup.
2025-12-04T11:17:35.1745878Z [command]/usr/bin/git version
2025-12-04T11:17:35.1785166Z git version 2.50.1
2025-12-04T11:17:35.1821762Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/c7534319-ba84-4aaa-a1a5-ece8a6a45525/.gitconfig'
2025-12-04T11:17:35.1831078Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/c7534319-ba84-4aaa-a1a5-ece8a6a45525' before making global git config changes
2025-12-04T11:17:35.1832121Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T11:17:35.1836364Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T11:17:35.1885959Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T11:17:35.1927084Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
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2025-12-04T11:17:35.7788374Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-12-04T11:17:37.1520666Z [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:
2025-12-04T11:17:37.1547328Z [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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2025-12-04T11:17:37.1636852Z [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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2025-12-04T11:17:37.1692502Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T11:17:37.1825535Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T11:17:37.1851958Z [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:
2025-12-04T11:17:37.1878988Z [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:
2025-12-04T11:17:37.1908322Z [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:
2025-12-04T11:17:37.2018403Z A job completed hook has been configured by the self-hosted runner administrator
2025-12-04T11:17:37.2033728Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-12-04T11:17:37.2039234Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:17:37.2039667Z ##[endgroup]
2025-12-04T11:17:45.3874207Z Cleaning up orphan processes