2025-12-04T09:18:10.8706673Z Current runner version: '2.330.0'
2025-12-04T09:18:10.8713969Z Runner name: 'i-023512c996295bd8f'
2025-12-04T09:18:10.8714793Z Runner group name: 'default'
2025-12-04T09:18:10.8715817Z Machine name: 'ip-10-0-35-102'
2025-12-04T09:18:10.8718940Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T09:18:10.8721467Z Contents: read
2025-12-04T09:18:10.8722160Z Metadata: read
2025-12-04T09:18:10.8722758Z ##[endgroup]
2025-12-04T09:18:10.8724988Z Secret source: Actions
2025-12-04T09:18:10.8725857Z Prepare workflow directory
2025-12-04T09:18:10.9271954Z Prepare all required actions
2025-12-04T09:18:10.9314900Z Getting action download info
2025-12-04T09:18:11.3687373Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T09:18:13.5475309Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f)
2025-12-04T09:18:28.2458470Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T09:18:28.5635915Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T09:18:28.8148681Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T09:18:29.0068712Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:18:29.2516213Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T09:18:29.5620170Z Getting action download info
2025-12-04T09:18:29.7197088Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T09:18:30.0267546Z Getting action download info
2025-12-04T09:18:30.1433310Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T09:18:30.3610366Z Getting action download info
2025-12-04T09:18:30.4866058Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T09:18:30.7042594Z Getting action download info
2025-12-04T09:18:30.8734395Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T09:18:30.8738690Z ##[group] Inputs
2025-12-04T09:18:30.8739106Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:18:30.8746935Z   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"}]}
2025-12-04T09:18:30.8755391Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:18:30.8756301Z   sync-tag: 
2025-12-04T09:18:30.8757168Z   timeout-minutes: 240
2025-12-04T09:18:30.8757455Z   use-gha: 
2025-12-04T09:18:30.8757680Z   dashboard-tag: 
2025-12-04T09:18:30.8757943Z   s3-bucket: gha-artifacts
2025-12-04T09:18:30.8758237Z   aws-role-to-assume: 
2025-12-04T09:18:30.8758833Z   disable-monitor: false
2025-12-04T09:18:30.8759157Z   monitor-log-interval: 5
2025-12-04T09:18:30.8759485Z   monitor-data-collect-interval: 1
2025-12-04T09:18:30.8759810Z ##[endgroup]
2025-12-04T09:18:30.8760388Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:18:30.9333844Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T09:18:30.9439946Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T09:18:30.9449447Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:30.9450144Z ##[endgroup]
2025-12-04T09:18:32.3992015Z Runner Type: linux.4xlarge
2025-12-04T09:18:32.3992563Z Instance Type: c5.4xlarge
2025-12-04T09:18:32.3992855Z AMI Name: unknown
2025-12-04T09:18:32.4024334Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T09:18:37.9498049Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T09:18:37.9498532Z with:
2025-12-04T09:18:37.9499149Z   github-secret: ***
2025-12-04T09:18:37.9499924Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T09:18:37.9500740Z   activate-with-label: false
2025-12-04T09:18:37.9501045Z   label: with-ssh
2025-12-04T09:18:37.9501321Z   remove-existing-keys: true
2025-12-04T09:18:37.9501606Z   fail-silently: true
2025-12-04T09:18:37.9501871Z env:
2025-12-04T09:18:37.9502102Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:37.9502384Z ##[endgroup]
2025-12-04T09:18:38.0931230Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T09:18:38.0933226Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T09:18:38.1259447Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T09:18:38.1259933Z with:
2025-12-04T09:18:38.1260155Z   no-sudo: true
2025-12-04T09:18:38.1260418Z   submodules: recursive
2025-12-04T09:18:38.1260700Z   fetch-depth: 0
2025-12-04T09:18:38.1260929Z env:
2025-12-04T09:18:38.1261157Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.1261436Z ##[endgroup]
2025-12-04T09:18:38.1339321Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:18:38.1340353Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:18:38.1349843Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:38.1350443Z env:
2025-12-04T09:18:38.1350707Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.1351053Z ##[endgroup]
2025-12-04T09:18:38.1464198Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T09:18:38.1464663Z # Use all available CPUs for fetching
2025-12-04T09:18:38.1465035Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:18:38.1465399Z git config --global fetch.parallel 0
2025-12-04T09:18:38.1466077Z git config --global submodule.fetchJobs 0
2025-12-04T09:18:38.1466431Z 
2025-12-04T09:18:38.1466818Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T09:18:38.1467327Z # do it here as well just in case
2025-12-04T09:18:38.1467661Z if [[ -d .git ]]; then
2025-12-04T09:18:38.1467980Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:18:38.1468318Z     sudo git clean -ffdx
2025-12-04T09:18:38.1468611Z   else
2025-12-04T09:18:38.1468868Z     git clean -ffdx
2025-12-04T09:18:38.1469161Z   fi
2025-12-04T09:18:38.1469387Z fi
2025-12-04T09:18:38.1475163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:38.1475563Z env:
2025-12-04T09:18:38.1475861Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.1476157Z   NO_SUDO: true
2025-12-04T09:18:38.1476396Z ##[endgroup]
2025-12-04T09:18:38.1598868Z ##[group]Run actions/checkout@v4
2025-12-04T09:18:38.1599179Z with:
2025-12-04T09:18:38.1599437Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:18:38.1599793Z   fetch-depth: 0
2025-12-04T09:18:38.1600046Z   submodules: recursive
2025-12-04T09:18:38.1600312Z   show-progress: false
2025-12-04T09:18:38.1600599Z   repository: pytorch/pytorch
2025-12-04T09:18:38.1601062Z   token: ***
2025-12-04T09:18:38.1601295Z   ssh-strict: true
2025-12-04T09:18:38.1601530Z   ssh-user: git
2025-12-04T09:18:38.1601793Z   persist-credentials: true
2025-12-04T09:18:38.1602075Z   clean: true
2025-12-04T09:18:38.1602338Z   sparse-checkout-cone-mode: true
2025-12-04T09:18:38.1602665Z   fetch-tags: false
2025-12-04T09:18:38.1602913Z   lfs: false
2025-12-04T09:18:38.1603146Z   set-safe-directory: true
2025-12-04T09:18:38.1603418Z env:
2025-12-04T09:18:38.1603639Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:38.1603896Z ##[endgroup]
2025-12-04T09:18:38.2721820Z Syncing repository: pytorch/pytorch
2025-12-04T09:18:38.2723223Z ##[group]Getting Git version info
2025-12-04T09:18:38.2723744Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:18:38.2724459Z [command]/usr/bin/git version
2025-12-04T09:18:38.2900706Z git version 2.50.1
2025-12-04T09:18:38.2927002Z ##[endgroup]
2025-12-04T09:18:38.2936371Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/59f8ab8e-d58c-412c-8691-33c49f269f87/.gitconfig'
2025-12-04T09:18:38.2955809Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/59f8ab8e-d58c-412c-8691-33c49f269f87' before making global git config changes
2025-12-04T09:18:38.2956866Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T09:18:38.2961203Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:18:38.3005304Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:18:38.3009186Z ##[group]Initializing the repository
2025-12-04T09:18:38.3013344Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:18:38.3075451Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T09:18:38.3076104Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T09:18:38.3076723Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T09:18:38.3077167Z hint:
2025-12-04T09:18:38.3077493Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T09:18:38.3077870Z hint:
2025-12-04T09:18:38.3078219Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T09:18:38.3079016Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T09:18:38.3079489Z hint:
2025-12-04T09:18:38.3079734Z hint: 	git branch -m <name>
2025-12-04T09:18:38.3080009Z hint:
2025-12-04T09:18:38.3080428Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T09:18:38.3087156Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T09:18:38.3096299Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T09:18:38.3135577Z ##[endgroup]
2025-12-04T09:18:38.3136071Z ##[group]Disabling automatic garbage collection
2025-12-04T09:18:38.3139329Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T09:18:38.3166055Z ##[endgroup]
2025-12-04T09:18:38.3166484Z ##[group]Setting up auth
2025-12-04T09:18:38.3173274Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T09:18:38.3202790Z [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' || :"
2025-12-04T09:18:38.3566557Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T09:18:38.3594528Z [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' || :"
2025-12-04T09:18:38.3915381Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:18:38.3945074Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T09:18:38.4272212Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:18:38.4325476Z ##[endgroup]
2025-12-04T09:18:38.4326253Z ##[group]Fetching the repository
2025-12-04T09:18:38.4335482Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T09:19:31.3489660Z From https://github.com/pytorch/pytorch
2025-12-04T09:19:31.3490879Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T09:19:31.3491578Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T09:19:31.3492513Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T09:19:31.3493574Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T09:19:31.3494245Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T09:19:31.3494876Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T09:19:31.3496273Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T09:19:31.3498071Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T09:19:31.3499078Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T09:19:31.3500400Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T09:19:31.3501691Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T09:19:31.3502812Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T09:19:31.3504048Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T09:19:31.3505362Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T09:19:31.3506492Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T09:19:31.3508642Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T09:19:31.3510410Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T09:19:31.3512135Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T09:19:31.3513239Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T09:19:31.3514501Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T09:19:31.3515722Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T09:19:31.3516972Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T09:19:31.3518273Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T09:19:31.3519860Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T09:19:31.3520975Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T09:19:31.3522702Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T09:19:31.3524845Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T09:19:31.3527968Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T09:19:31.3528970Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T09:19:31.3529562Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T09:19:31.3530671Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T09:19:31.3531909Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T09:19:31.3533064Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T09:19:31.3534389Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-12-04T09:19:31.3535497Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
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2025-12-04T09:19:32.0421433Z  * [new branch]              zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom
2025-12-04T09:19:32.0422520Z  * [new branch]              zhxchen17/ci/vllm_pin       -> origin/zhxchen17/ci/vllm_pin
2025-12-04T09:19:32.0424315Z  * [new branch]              zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards
2025-12-04T09:19:32.0425789Z  * [new branch]              zhxchen17/export/call_override -> origin/zhxchen17/export/call_override
2025-12-04T09:19:32.0426925Z  * [new branch]              zhxchen17/export/codemod1   -> origin/zhxchen17/export/codemod1
2025-12-04T09:19:32.0428143Z  * [new branch]              zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return
2025-12-04T09:19:32.0429467Z  * [new branch]              zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn
2025-12-04T09:19:32.0430613Z  * [new branch]              zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check
2025-12-04T09:19:32.0432294Z  * [new branch]              zhxchen17/precompile/aoti   -> origin/zhxchen17/precompile/aoti
2025-12-04T09:19:32.0433512Z  * [new branch]              zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals
2025-12-04T09:19:32.0434749Z  * [new branch]              zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards
2025-12-04T09:19:32.0436138Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-12-04T09:19:32.0437865Z  * [new branch]              zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update
2025-12-04T09:19:32.0439501Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-12-04T09:19:32.0441251Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-12-04T09:19:32.0442519Z  * [new branch]              zxiiro/c7i.2xlarge          -> origin/zxiiro/c7i.2xlarge
2025-12-04T09:19:32.0443734Z  * [new branch]              zxiiro/c7i.2xlarge.h100     -> origin/zxiiro/c7i.2xlarge.h100
2025-12-04T09:19:32.0444913Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-12-04T09:19:32.0446162Z  * [new branch]              zxiiro/risc64               -> origin/zxiiro/risc64
2025-12-04T09:19:32.0447399Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-12-04T09:19:32.0448741Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-12-04T09:19:32.0449751Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-12-04T09:19:32.0450812Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-12-04T09:19:32.0451521Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-12-04T09:19:32.0452309Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T09:19:32.0453119Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T09:19:32.0454115Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T09:19:32.0454848Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T09:19:32.0455798Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T09:19:32.0456725Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T09:19:32.0457504Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T09:19:32.0458424Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T09:19:32.0459245Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T09:19:32.0460498Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T09:19:32.0461718Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T09:19:32.0462689Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T09:19:32.0463452Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T09:19:32.0464403Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T09:19:32.0465454Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T09:19:32.0466203Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T09:19:32.0467407Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T09:19:32.0468443Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T09:19:32.0469548Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T09:19:32.0470360Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T09:19:32.0471173Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T09:19:32.0472259Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T09:19:32.0473112Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T09:19:32.0473872Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T09:19:32.0475003Z  * [new tag]                 ciflow/dynamo/169525        -> ciflow/dynamo/169525
2025-12-04T09:19:32.0476081Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T09:19:32.0476800Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T09:19:32.0477910Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T09:19:32.0478717Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T09:19:32.0479520Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T09:19:32.0480278Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T09:19:32.0481508Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T09:19:32.0482208Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T09:19:32.0482995Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T09:19:32.0483791Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T09:19:32.0484757Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T09:19:32.0485484Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T09:19:32.0486458Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T09:19:32.0487167Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T09:19:32.0487943Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T09:19:32.0488791Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T09:19:32.0489623Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T09:19:32.0490470Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T09:19:32.0491194Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T09:19:32.0491973Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T09:19:32.0492743Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T09:19:32.0493535Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T09:19:32.0494303Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T09:19:32.0495436Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T09:19:32.0496473Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T09:19:32.0497838Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T09:19:32.0498251Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T09:19:32.0499252Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T09:19:32.0499962Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T09:19:32.0500767Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T09:19:32.0501546Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T09:19:32.0502642Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T09:19:32.0503978Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T09:19:32.0504772Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T09:19:32.0505609Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T09:19:32.0506522Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T09:19:32.0508318Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T09:19:32.0508942Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T09:19:32.0509853Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T09:19:32.0510782Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T09:19:32.0511663Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T09:19:32.0512507Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T09:19:32.0513296Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T09:19:32.0514216Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T09:19:32.0515571Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T09:19:32.0516191Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T09:19:32.0516960Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T09:19:32.0517864Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T09:19:32.0518651Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T09:19:32.0520059Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T09:19:32.0520421Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T09:19:32.0521287Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T09:19:32.0522032Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T09:19:32.0523374Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T09:19:32.0523818Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T09:19:32.0525122Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T09:19:32.0525785Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T09:19:32.0526551Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T09:19:32.0527338Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T09:19:32.0528578Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T09:19:32.0529188Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T09:19:32.0529942Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T09:19:32.0530707Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T09:19:32.0531489Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T09:19:32.0532245Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T09:19:32.0533017Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T09:19:32.0533778Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T09:19:32.0535064Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T09:19:32.0536194Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T09:19:32.0536897Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T09:19:32.0537737Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T09:19:32.0538648Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T09:19:32.0539365Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T09:19:32.0540155Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T09:19:32.0540977Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T09:19:32.0542317Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T09:19:32.0542930Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T09:19:32.0543762Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T09:19:32.0544911Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T09:19:32.0545673Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T09:19:32.0546471Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T09:19:32.0547271Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T09:19:32.0548095Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T09:19:32.0549279Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T09:19:32.0549699Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T09:19:32.0550954Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T09:19:32.0551651Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T09:19:32.0552477Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T09:19:32.0553290Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T09:19:32.0554122Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T09:19:32.0554938Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T09:19:32.0556199Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T09:19:32.0556783Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T09:19:32.0557625Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T09:19:32.0558553Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T09:19:32.0559372Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T09:19:32.0560208Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T09:19:32.0561202Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T09:19:32.0561930Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T09:19:32.0562778Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T09:19:32.0563548Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T09:19:32.0564360Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T09:19:32.0565845Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T09:19:32.0566355Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T09:19:32.0567477Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T09:19:32.0568640Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T09:19:32.0569347Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T09:19:32.0570187Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T09:19:32.0570983Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T09:19:32.0571809Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T09:19:32.0572935Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T09:19:32.0573551Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T09:19:32.0574371Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T09:19:32.0575190Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T09:19:32.0576031Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T09:19:32.0576841Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T09:19:32.0577664Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T09:19:32.0578476Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T09:19:32.0579314Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T09:19:32.0580116Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T09:19:32.0580942Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T09:19:32.0581772Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T09:19:32.0582644Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T09:19:32.0583433Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T09:19:32.0584223Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T09:19:32.0585044Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T09:19:32.0585849Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T09:19:32.0586680Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T09:19:32.0587879Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T09:19:32.0588491Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T09:19:32.0589312Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T09:19:32.0590166Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T09:19:32.0590957Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T09:19:32.0591789Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T09:19:32.0592623Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T09:19:32.0593454Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T09:19:32.0594317Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T09:19:32.0595152Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T09:19:32.0595993Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T09:19:32.0596811Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T09:19:32.0597635Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T09:19:32.0598722Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T09:19:32.0599592Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T09:19:32.0600446Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T09:19:32.0601247Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T09:19:32.0602071Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T09:19:32.0602957Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T09:19:32.0603755Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T09:19:32.0604580Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T09:19:32.0605383Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T09:19:32.0606222Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T09:19:32.0607012Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T09:19:32.0611643Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T09:19:32.0612251Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T09:19:32.0613371Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T09:19:32.0614180Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T09:19:32.0615002Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T09:19:32.0616254Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T09:19:32.0617145Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T09:19:32.0617816Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T09:19:32.0618648Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T09:19:32.0619472Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T09:19:32.0620323Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T09:19:32.0621131Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T09:19:32.0621945Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T09:19:32.0623064Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T09:19:32.0624414Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T09:19:32.0625061Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T09:19:32.0626248Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T09:19:32.0626836Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T09:19:32.0627681Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T09:19:32.0628542Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T09:19:32.0629704Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T09:19:32.0630982Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T09:19:32.0631701Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T09:19:32.0632543Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T09:19:32.0633400Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T09:19:32.0634225Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T09:19:32.0635075Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T09:19:32.0636341Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T09:19:32.0636874Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T09:19:32.0638072Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T09:19:32.0638677Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T09:19:32.0639860Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T09:19:32.0640511Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T09:19:32.0641711Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T09:19:32.0642335Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T09:19:32.0643213Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T09:19:32.0644578Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T09:19:32.0645202Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T09:19:32.0646015Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T09:19:32.0646876Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T09:19:32.0647672Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T09:19:32.0648962Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T09:19:32.0649580Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T09:19:32.0650756Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T09:19:32.0651335Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T09:19:32.0652679Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T09:19:32.0653301Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T09:19:32.0654131Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T09:19:32.0655310Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T09:19:32.0655941Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T09:19:32.0656776Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T09:19:32.0657614Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T09:19:32.0658860Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T09:19:32.0659483Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T09:19:32.0660918Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T09:19:32.0661471Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T09:19:32.0662732Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T09:19:32.0663506Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T09:19:32.0664318Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T09:19:32.0665152Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T09:19:32.0666003Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T09:19:32.0666866Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T09:19:32.0667683Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T09:19:32.0668503Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T09:19:32.0669788Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T09:19:32.0671021Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T09:19:32.0671706Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T09:19:32.0672865Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T09:19:32.0673323Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T09:19:32.0674508Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T09:19:32.0675006Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T09:19:32.0676103Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T09:19:32.0676730Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T09:19:32.0677854Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T09:19:32.0678341Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T09:19:32.0679473Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T09:19:32.0680005Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T09:19:32.0681267Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T09:19:32.0682524Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T09:19:32.0683001Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T09:19:32.0684251Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T09:19:32.0684769Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T09:19:32.0685595Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T09:19:32.0686798Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T09:19:32.0687283Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T09:19:32.0688156Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T09:19:32.0689452Z  * [new tag]                 ciflow/inductor/169557      -> ciflow/inductor/169557
2025-12-04T09:19:32.0690311Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T09:19:32.0691535Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T09:19:32.0692310Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T09:19:32.0693556Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T09:19:32.0694004Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T09:19:32.0694876Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T09:19:32.0695585Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T09:19:32.0696758Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T09:19:32.0697274Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T09:19:32.0698493Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T09:19:32.0698975Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T09:19:32.0700265Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T09:19:32.0700831Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T09:19:32.0701637Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T09:19:32.0702833Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T09:19:32.0703533Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T09:19:32.0704369Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T09:19:32.0705217Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T09:19:32.0706477Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T09:19:32.0706872Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T09:19:32.0707961Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T09:19:32.0709361Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T09:19:32.0709919Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T09:19:32.0711081Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T09:19:32.0711496Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T09:19:32.0712726Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T09:19:32.0713471Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T09:19:32.0714606Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T09:19:32.0715552Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T09:19:32.0716695Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T09:19:32.0718263Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:32.0719030Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T09:19:32.0720518Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T09:19:32.0721354Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T09:19:32.0722563Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T09:19:32.0723385Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T09:19:32.0724727Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T09:19:32.0725641Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T09:19:32.0726792Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T09:19:32.0728037Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T09:19:32.0728773Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T09:19:32.0729601Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T09:19:32.0730305Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T09:19:32.0731503Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T09:19:32.0731972Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T09:19:32.0733217Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T09:19:32.0733787Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T09:19:32.0734979Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T09:19:32.0735703Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T09:19:32.0736502Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T09:19:32.0737300Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T09:19:32.0738083Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T09:19:32.0739396Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T09:19:32.0739903Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T09:19:32.0741170Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T09:19:32.0741874Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T09:19:32.0742673Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T09:19:32.0743845Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T09:19:32.0744353Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T09:19:32.0745460Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T09:19:32.0745947Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T09:19:32.0747079Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T09:19:32.0747656Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T09:19:32.0748506Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T09:19:32.0749249Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T09:19:32.0749928Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T09:19:32.0750713Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T09:19:32.0751573Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T09:19:32.0752894Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T09:19:32.0754000Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T09:19:32.0754767Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T09:19:32.0755632Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T09:19:32.0756511Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T09:19:32.0757316Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T09:19:32.0758453Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T09:19:32.0758938Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T09:19:32.0760095Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T09:19:32.0760672Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T09:19:32.0761844Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T09:19:32.0762256Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T09:19:32.0763398Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T09:19:32.0764041Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T09:19:32.0765198Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T09:19:32.0765784Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T09:19:32.0767222Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T09:19:32.0767933Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T09:19:32.0769677Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T09:19:32.0770074Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T09:19:32.0770875Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T09:19:32.0771678Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T09:19:32.0772862Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T09:19:32.0773714Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T09:19:32.0775191Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T09:19:32.0776433Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T09:19:32.0777640Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T09:19:32.0778464Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T09:19:32.0779692Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T09:19:32.0780426Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T09:19:32.0782123Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T09:19:32.0782566Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T09:19:32.0783854Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T09:19:32.0784592Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T09:19:32.0785817Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T09:19:32.0786664Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T09:19:32.0788388Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T09:19:32.0788842Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T09:19:32.0790022Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T09:19:32.0790625Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T09:19:32.0791389Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T09:19:32.0792174Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T09:19:32.0793275Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T09:19:32.0793762Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T09:19:32.0794899Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T09:19:32.0795388Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T09:19:32.0796223Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T09:19:32.0796923Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T09:19:32.0797751Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T09:19:32.0799214Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T09:19:32.0800077Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-12-04T09:19:32.0801283Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T09:19:32.0801891Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T09:19:32.0802740Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T09:19:32.0803546Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T09:19:32.0804761Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T09:19:32.0805281Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T09:19:32.0806425Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T09:19:32.0807007Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T09:19:32.0808380Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T09:19:32.0808960Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T09:19:32.0810143Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T09:19:32.0810801Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T09:19:32.0812014Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T09:19:32.0813377Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T09:19:32.0813905Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T09:19:32.0815149Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T09:19:32.0815790Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T09:19:32.0816649Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T09:19:32.0817612Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T09:19:32.0818336Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T09:19:32.0819172Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T09:19:32.0820001Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T09:19:32.0820838Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T09:19:32.0822005Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T09:19:32.0822542Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T09:19:32.0823816Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T09:19:32.0824589Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T09:19:32.0825472Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T09:19:32.0826282Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T09:19:32.0827463Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T09:19:32.0828073Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T09:19:32.0828878Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T09:19:32.0829973Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T09:19:32.0830698Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T09:19:32.0831787Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T09:19:32.0832382Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T09:19:32.0833627Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T09:19:32.0834221Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T09:19:32.0835325Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T09:19:32.0835863Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T09:19:32.0837035Z  * [new tag]                 ciflow/trunk/169048         -> ciflow/trunk/169048
2025-12-04T09:19:32.0837542Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T09:19:32.0838626Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T09:19:32.0839272Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T09:19:32.0840364Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T09:19:32.0841103Z  * [new tag]                 ciflow/trunk/169125         -> ciflow/trunk/169125
2025-12-04T09:19:32.0842247Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T09:19:32.0842960Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T09:19:32.0844067Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T09:19:32.0844617Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T09:19:32.0845870Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T09:19:32.0846472Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T09:19:32.0847572Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T09:19:32.0848166Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T09:19:32.0849645Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T09:19:32.0850405Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T09:19:32.0851674Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T09:19:32.0852261Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T09:19:32.0853105Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T09:19:32.0854242Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T09:19:32.0854987Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T09:19:32.0855784Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T09:19:32.0856880Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T09:19:32.0857490Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T09:19:32.0858356Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T09:19:32.0859759Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T09:19:32.0860280Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T09:19:32.0861378Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T09:19:32.0861991Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T09:19:32.0863241Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T09:19:32.0863967Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T09:19:32.0864800Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T09:19:32.0865980Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T09:19:32.0866528Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T09:19:32.0867691Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T09:19:32.0868207Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T09:19:32.0869375Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T09:19:32.0870606Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T09:19:32.0871151Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T09:19:32.0872311Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T09:19:32.0872940Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T09:19:32.0873768Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T09:19:32.0874592Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T09:19:32.0875423Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T09:19:32.0876649Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T09:19:32.0877176Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T09:19:32.0878315Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T09:19:32.0879504Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T09:19:32.0879974Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T09:19:32.0881050Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T09:19:32.0881581Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T09:19:32.0882746Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T09:19:32.0883364Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T09:19:32.0884275Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T09:19:32.0885045Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T09:19:32.0885872Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T09:19:32.0886706Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T09:19:32.0887907Z  * [new tag]                 ciflow/trunk/169555         -> ciflow/trunk/169555
2025-12-04T09:19:32.0889242Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T09:19:32.0889995Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T09:19:32.0890783Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T09:19:32.0891574Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T09:19:32.0892382Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T09:19:32.0893078Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T09:19:32.0894334Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T09:19:32.0894876Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T09:19:32.0895673Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T09:19:32.0896787Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T09:19:32.0897345Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T09:19:32.0898150Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T09:19:32.0898867Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T09:19:32.0899697Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T09:19:32.0900528Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T09:19:32.0901210Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T09:19:32.0902053Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T09:19:32.0903310Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T09:19:32.0904681Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T09:19:32.0905470Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T09:19:32.0906285Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T09:19:32.0907322Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T09:19:32.0908200Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T09:19:32.0909793Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T09:19:32.0910317Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T09:19:32.0911477Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T09:19:32.0912240Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T09:19:32.0913062Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T09:19:32.0913908Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T09:19:32.0915038Z  * [new tag]                 ciflow/xpu/169555           -> ciflow/xpu/169555
2025-12-04T09:19:32.0915753Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T09:19:32.0916901Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T09:19:32.0917534Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T09:19:32.0918879Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T09:19:32.0919638Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T09:19:32.0921027Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T09:19:32.0921812Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T09:19:32.0923026Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T09:19:32.0923786Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T09:19:32.0924910Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T09:19:32.0925551Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T09:19:32.0927269Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T09:19:32.0928008Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T09:19:32.0929326Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T09:19:32.0929947Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T09:19:32.0931075Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T09:19:32.0932418Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T09:19:32.0933147Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T09:19:32.0934344Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T09:19:32.0935475Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T09:19:32.0936297Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T09:19:32.0937500Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T09:19:32.0938294Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T09:19:32.0939674Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T09:19:32.0940413Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T09:19:32.0941518Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T09:19:32.0942352Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T09:19:32.0943746Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T09:19:32.0944553Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T09:19:32.0946135Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T09:19:32.0947547Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T09:19:32.0948604Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T09:19:32.0949934Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T09:19:32.0950796Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T09:19:32.0951786Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T09:19:32.0952704Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T09:19:32.0953686Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T09:19:32.0955046Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T09:19:32.0955968Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T09:19:32.0956874Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T09:19:32.0957894Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T09:19:32.0958882Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T09:19:32.0959877Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T09:19:32.0961271Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T09:19:32.0962014Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T09:19:32.0963020Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T09:19:32.0964112Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T09:19:32.0965026Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T09:19:32.0965946Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T09:19:32.0967014Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T09:19:32.0968392Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T09:19:32.0969098Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T09:19:32.0970114Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T09:19:32.0971514Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T09:19:32.0972214Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T09:19:32.0975163Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T09:19:32.0975591Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T09:19:32.0975983Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T09:19:32.0976402Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T09:19:32.0977061Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T09:19:32.0977827Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T09:19:32.0978879Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T09:19:32.0979869Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T09:19:32.0980706Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T09:19:32.0981667Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T09:19:32.0982741Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T09:19:32.0983731Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T09:19:32.0984754Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T09:19:32.0986089Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T09:19:32.0986802Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T09:19:32.0987818Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T09:19:32.0988835Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T09:19:32.0989783Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T09:19:32.0990728Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T09:19:32.0991739Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T09:19:32.0992777Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T09:19:32.0993594Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T09:19:32.0994575Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T09:19:32.0995538Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T09:19:32.0996495Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T09:19:32.0997531Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T09:19:32.0998496Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T09:19:32.0999607Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T09:19:32.1000453Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T09:19:32.1002143Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T09:19:32.1002688Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T09:19:32.1003675Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T09:19:32.1004682Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T09:19:32.1005667Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T09:19:32.1006483Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T09:19:32.1008152Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T09:19:32.1010157Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T09:19:32.1011552Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T09:19:32.1012402Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T09:19:32.1014016Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T09:19:32.1014834Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T09:19:32.1015904Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T09:19:32.1016925Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T09:19:32.1017967Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T09:19:32.1019013Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T09:19:32.1020006Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T09:19:32.1020879Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T09:19:32.1021852Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T09:19:32.1022819Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T09:19:32.1023677Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T09:19:32.1024976Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T09:19:32.1025799Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T09:19:32.1026801Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T09:19:32.1027646Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T09:19:32.1029103Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T09:19:32.1030000Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T09:19:32.1031069Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T09:19:32.1032032Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T09:19:32.1033023Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T09:19:32.1034096Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T09:19:32.1035126Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T09:19:32.1036134Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T09:19:32.1037100Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T09:19:32.1038152Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T09:19:32.1039066Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T09:19:32.1040031Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T09:19:32.1041002Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T09:19:32.1042079Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T09:19:32.1043075Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T09:19:32.1044082Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T09:19:32.1045074Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T09:19:32.1046137Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T09:19:32.1047081Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T09:19:32.1048063Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T09:19:32.1049094Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T09:19:32.1050458Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T09:19:32.1051214Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T09:19:32.1052032Z  * [new tag]                 trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f
2025-12-04T09:19:32.1053055Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T09:19:32.1054109Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T09:19:32.1055119Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T09:19:32.1055946Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T09:19:32.1056935Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T09:19:32.1057890Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T09:19:32.1058868Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T09:19:32.1059948Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T09:19:32.1060761Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:32.1061687Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T09:19:32.1062690Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T09:19:32.1063719Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T09:19:32.1064600Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T09:19:32.1065590Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T09:19:32.1066612Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T09:19:32.1068006Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T09:19:32.1069341Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T09:19:32.1070156Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T09:19:32.1071038Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T09:19:32.1072383Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T09:19:32.1073155Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T09:19:32.1074161Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T09:19:32.1075240Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T09:19:32.1076305Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T09:19:32.1077338Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T09:19:32.1078741Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T09:19:32.1079353Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T09:19:32.1080688Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T09:19:32.1081358Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T09:19:32.1082444Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T09:19:32.1083396Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T09:19:32.1084462Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T09:19:32.1085469Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T09:19:32.1086547Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T09:19:32.1087513Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T09:19:32.1088603Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T09:19:32.1089973Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T09:19:32.1090782Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T09:19:32.1092157Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T09:19:32.1092974Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T09:19:32.1093996Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T09:19:32.1094974Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T09:19:32.1095837Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T09:19:32.1096913Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T09:19:32.1097947Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T09:19:32.1099413Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T09:19:32.1100024Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T09:19:32.1100761Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T09:19:32.1101818Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T09:19:32.1102851Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T09:19:32.1104133Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T09:19:32.1104914Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T09:19:32.1105947Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T09:19:32.1106997Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T09:19:32.1108526Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T09:19:32.1109284Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T09:19:32.1110593Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T09:19:32.1111405Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T09:19:32.1112454Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T09:19:32.1113375Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T09:19:32.1114399Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T09:19:32.1115418Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T09:19:32.1116757Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T09:19:32.1117538Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T09:19:32.1119001Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T09:19:32.1119757Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T09:19:32.1120804Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T09:19:32.1122364Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T09:19:32.1123135Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T09:19:32.1124199Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T09:19:32.1125236Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T09:19:32.1126128Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T09:19:32.1127655Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T09:19:32.1128519Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T09:19:32.1135432Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T09:19:32.1136016Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T09:19:32.1136429Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T09:19:32.1136866Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T09:19:32.1137260Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T09:19:32.1137672Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T09:19:32.1138070Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T09:19:32.1138480Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T09:19:32.1138884Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T09:19:32.1139283Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T09:19:32.1139923Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T09:19:32.1140689Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T09:19:32.1141719Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T09:19:32.1142707Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T09:19:32.1143884Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T09:19:32.1145330Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T09:19:32.1146275Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T09:19:32.1147220Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T09:19:32.1148218Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T09:19:32.1149649Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T09:19:32.1150638Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T09:19:32.1151507Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T09:19:32.1152708Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T09:19:32.1153694Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T09:19:32.1154896Z  * [new tag]                 trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3
2025-12-04T09:19:32.1155806Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T09:19:32.1156817Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T09:19:32.1157833Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T09:19:32.1159371Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T09:19:32.1160285Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T09:19:32.1161326Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T09:19:32.1162307Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T09:19:32.1163310Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T09:19:32.1164317Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T09:19:32.1165311Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T09:19:32.1166355Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T09:19:32.1167343Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T09:19:32.1168384Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T09:19:32.1169369Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T09:19:32.1170566Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T09:19:32.1171475Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T09:19:32.1173113Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T09:19:32.1174087Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T09:19:32.1175203Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:32.1175890Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T09:19:32.1176901Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T09:19:32.1177825Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T09:19:32.1178805Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T09:19:32.1179690Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T09:19:32.1180777Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T09:19:32.1181346Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T09:19:32.1182420Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T09:19:32.1183271Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T09:19:32.1184266Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T09:19:32.1185204Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T09:19:32.1186143Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T09:19:32.1187154Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T09:19:32.1188112Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T09:19:32.1189141Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T09:19:32.1190070Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T09:19:32.1190963Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T09:19:32.1191892Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T09:19:32.1192845Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T09:19:32.1193793Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T09:19:32.1194778Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T09:19:32.1195394Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T09:19:32.1196506Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T09:19:32.1197533Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T09:19:32.1198704Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T09:19:32.1199710Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T09:19:32.1200740Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T09:19:32.1201336Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T09:19:32.1202531Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T09:19:32.1203162Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T09:19:32.1204079Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T09:19:32.1204729Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T09:19:32.1205824Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T09:19:32.1206820Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T09:19:32.1208303Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T09:19:32.1209443Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T09:19:32.1210473Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T09:19:32.1211745Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T09:19:32.1212210Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T09:19:32.1213016Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T09:19:32.1214225Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T09:19:32.1214956Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T09:19:32.1216048Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T09:19:32.1217087Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T09:19:32.1218099Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T09:19:32.1219032Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T09:19:32.1220248Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T09:19:32.1220951Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T09:19:32.1221750Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T09:19:32.1223088Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T09:19:32.1224057Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T09:19:32.1225233Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T09:19:32.1226249Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T09:19:32.1227287Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T09:19:32.1227928Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T09:19:32.1229199Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T09:19:32.1229996Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T09:19:32.1231131Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T09:19:32.1231913Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T09:19:32.1233219Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T09:19:32.1233754Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T09:19:32.1234820Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T09:19:32.1235836Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T09:19:32.1236377Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T09:19:32.1237582Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T09:19:32.1238415Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T09:19:32.1239537Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T09:19:32.1240298Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T09:19:32.1241126Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T09:19:32.1242185Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T09:19:32.1243030Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T09:19:32.1243811Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T09:19:32.1245012Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T09:19:32.1246034Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T09:19:32.1247056Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T09:19:32.1248144Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T09:19:32.1248948Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T09:19:32.1249794Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T09:19:32.1251031Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T09:19:32.1251520Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T09:19:32.1252535Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T09:19:32.1253556Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T09:19:32.1254709Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T09:19:32.1255481Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T09:19:32.1256616Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T09:19:32.1257432Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T09:19:32.1258584Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T09:19:32.1259291Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T09:19:32.1260469Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T09:19:32.1261509Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T09:19:32.1262595Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T09:19:32.1263356Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T09:19:32.1264146Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T09:19:32.1265325Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T09:19:32.1266451Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T09:19:32.1267536Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T09:19:32.1268056Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T09:19:32.1269150Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T09:19:32.1269941Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T09:19:32.1271001Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T09:19:32.1272002Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T09:19:32.1272965Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T09:19:32.1273685Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T09:19:32.1274397Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T09:19:32.1275532Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T09:19:32.1276247Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T09:19:32.1277062Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T09:19:32.1278696Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T09:19:32.1279234Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T09:19:32.1280482Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T09:19:32.1281509Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T09:19:32.1282580Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T09:19:32.1283357Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T09:19:32.1284791Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T09:19:32.1285804Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T09:19:32.1287013Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T09:19:32.1287603Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T09:19:32.1288758Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T09:19:32.1289844Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T09:19:32.1290923Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T09:19:32.1291969Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T09:19:32.1293003Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T09:19:32.1294000Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T09:19:32.1294797Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T09:19:32.1295933Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T09:19:32.1297006Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T09:19:32.1297596Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T09:19:32.1298692Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T09:19:32.1299197Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T09:19:32.1300956Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T09:19:32.1301786Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T09:19:32.1302971Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T09:19:32.1303856Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T09:19:32.1305095Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T09:19:32.1306193Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T09:19:32.1306696Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T09:19:32.1308121Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T09:19:32.1309216Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T09:19:32.1310255Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T09:19:32.1311334Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T09:19:32.1312379Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T09:19:32.1313325Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T09:19:32.1314015Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T09:19:32.1315050Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T09:19:32.1316090Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T09:19:32.1317322Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T09:19:32.1317916Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T09:19:32.1319117Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T09:19:32.1319919Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T09:19:32.1321070Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T09:19:32.1321803Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T09:19:32.1323075Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T09:19:32.1323901Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T09:19:32.1325044Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T09:19:32.1325682Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T09:19:32.1326454Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T09:19:32.1327676Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T09:19:32.1328804Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T09:19:32.1329486Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T09:19:32.1330237Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T09:19:32.1331476Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T09:19:32.1332635Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T09:19:32.1333257Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T09:19:32.1334023Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T09:19:32.1335385Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T09:19:32.1336059Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T09:19:32.1337300Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T09:19:32.1338374Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T09:19:32.1338907Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T09:19:32.1340181Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T09:19:32.1341326Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T09:19:32.1342129Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T09:19:32.1343277Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T09:19:32.1343965Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T09:19:32.1345159Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T09:19:32.1345973Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T09:19:32.1346734Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T09:19:32.1348079Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T09:19:32.1349136Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T09:19:32.1349965Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T09:19:32.1351233Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T09:19:32.1352246Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T09:19:32.1353274Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T09:19:32.1354329Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T09:19:32.1355160Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T09:19:32.1356326Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T09:19:32.1357412Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T09:19:32.1358250Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T09:19:32.1359430Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T09:19:32.1360271Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T09:19:32.1361502Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T09:19:32.1362119Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T09:19:32.1363383Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T09:19:32.1364208Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T09:19:32.1365482Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T09:19:32.1366498Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T09:19:32.1367329Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T09:19:32.1368145Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T09:19:32.1369462Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T09:19:32.1370264Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T09:19:32.1371387Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T09:19:32.1372421Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T09:19:32.1373943Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T09:19:32.1374353Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T09:19:32.1375570Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T09:19:32.1376652Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T09:19:32.1377174Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T09:19:32.1377925Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T09:19:32.1378820Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T09:19:32.1379920Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T09:19:32.1381048Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T09:19:32.1382052Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T09:19:32.1383026Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T09:19:32.1384252Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T09:19:32.1385430Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T09:19:32.1386537Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T09:19:32.1387688Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T09:19:32.1388738Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T09:19:32.1389926Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T09:19:32.1390969Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T09:19:32.1391652Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T09:19:32.1392906Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T09:19:32.1393977Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T09:19:32.1394989Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T09:19:32.1396020Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T09:19:32.1396977Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T09:19:32.1398041Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T09:19:32.1399093Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T09:19:32.1400171Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T09:19:32.1400876Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T09:19:32.1402135Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T09:19:32.1403182Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T09:19:32.1404264Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T09:19:32.1405355Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T09:19:32.1406352Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T09:19:32.1407039Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T09:19:32.1411744Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T09:19:32.1412788Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T09:19:32.1413980Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T09:19:32.1414994Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T09:19:32.1416245Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T09:19:32.1417720Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T09:19:32.1418793Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T09:19:32.1419777Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T09:19:32.1420831Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T09:19:32.1421918Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T09:19:32.1423079Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T09:19:32.1424156Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T09:19:32.1425473Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T09:19:32.1426502Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T09:19:32.1427642Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T09:19:32.1428643Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T09:19:32.1429926Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T09:19:32.1431007Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T09:19:32.1432238Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T09:19:32.1432924Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T09:19:32.1433772Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T09:19:32.1434921Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T09:19:32.1436078Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T09:19:32.1437441Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T09:19:32.1438427Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T09:19:32.1439272Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T09:19:32.1440372Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T09:19:32.1441168Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T09:19:32.1442265Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T09:19:32.1443088Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T09:19:32.1444107Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T09:19:32.1444946Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T09:19:32.1446243Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T09:19:32.1447413Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T09:19:32.1448523Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T09:19:32.1449575Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T09:19:32.1450592Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T09:19:32.1451566Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T09:19:32.1452610Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T09:19:32.1453602Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T09:19:32.1455056Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T09:19:32.1456193Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T09:19:32.1457171Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T09:19:32.1458141Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T09:19:32.1459085Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T09:19:32.1460087Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T09:19:32.1461038Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T09:19:32.1462035Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T09:19:32.1463125Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T09:19:32.1463972Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T09:19:32.1465090Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T09:19:32.1466054Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T09:19:32.1467150Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T09:19:32.1468121Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T09:19:32.1469129Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T09:19:32.1470122Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T09:19:32.1471091Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T09:19:32.1472185Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T09:19:32.1473157Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T09:19:32.1474240Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T09:19:32.1475209Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T09:19:32.1476163Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T09:19:32.1477169Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T09:19:32.1478143Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T09:19:32.1479118Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T09:19:32.1480139Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T09:19:32.1481112Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T09:19:32.1482067Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T09:19:32.1483252Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T09:19:32.1484260Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T09:19:32.1485257Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T09:19:32.1486294Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T09:19:32.1487298Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T09:19:32.1488472Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T09:19:32.1489477Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T09:19:32.1490660Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T09:19:32.1491645Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T09:19:32.1492621Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T09:19:32.1493639Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T09:19:32.1494707Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T09:19:32.1495724Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T09:19:32.1496760Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T09:19:32.1497759Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T09:19:32.1498554Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T09:19:32.1499740Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T09:19:32.1500598Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T09:19:32.1501697Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T09:19:32.1502731Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T09:19:32.1503728Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T09:19:32.1504725Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T09:19:32.1505700Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T09:19:32.1506709Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T09:19:32.1507637Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T09:19:32.1509027Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T09:19:32.1509883Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T09:19:32.1511130Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T09:19:32.1512024Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T09:19:32.1513154Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T09:19:32.1513838Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T09:19:32.1515072Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T09:19:32.1515918Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T09:19:32.1517093Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T09:19:32.1517917Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T09:19:32.1519082Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T09:19:32.1520527Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T09:19:32.1521670Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T09:19:32.1522487Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T09:19:32.1523676Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T09:19:32.1524556Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T09:19:32.1525698Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T09:19:32.1526511Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T09:19:32.1527756Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T09:19:32.1528645Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T09:19:32.1529802Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T09:19:32.1531128Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T09:19:32.1531893Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T09:19:32.1533109Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T09:19:32.1533914Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T09:19:32.1534756Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T09:19:32.1535991Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T09:19:32.1536927Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T09:19:32.1537764Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T09:19:32.1538906Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T09:19:32.1539717Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T09:19:32.1541133Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T09:19:32.1541969Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T09:19:32.1543127Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T09:19:32.1543787Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T09:19:32.1545012Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T09:19:32.1545815Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T09:19:32.1547062Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T09:19:32.1547873Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T09:19:32.1549043Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T09:19:32.1549910Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T09:19:32.1551046Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T09:19:32.1551836Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T09:19:32.1553094Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T09:19:32.1554163Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T09:19:32.1555035Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T09:19:32.1556168Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T09:19:32.1556996Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T09:19:32.1558209Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T09:19:32.1559068Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T09:19:32.1560272Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T09:19:32.1561049Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T09:19:32.1562263Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T09:19:32.1563331Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T09:19:32.1564405Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T09:19:32.1565267Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T09:19:32.1566475Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T09:19:32.1567553Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T09:19:32.1568348Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T09:19:32.1569638Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T09:19:32.1570463Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T09:19:32.1571313Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T09:19:32.1572188Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T09:19:32.1573402Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T09:19:32.1574223Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T09:19:32.1575370Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T09:19:32.1576228Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T09:19:32.1577465Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T09:19:32.1578342Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T09:19:32.1579564Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T09:19:32.1580372Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T09:19:32.1581600Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T09:19:32.1583017Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T09:19:32.1583852Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T09:19:32.1584988Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T09:19:32.1586402Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T09:19:32.1587643Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T09:19:32.1589133Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T09:19:32.1590013Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T09:19:32.1590829Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T09:19:32.1591996Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T09:19:32.1592860Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T09:19:32.1594088Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T09:19:32.1594733Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T09:19:32.1595884Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T09:19:32.1596687Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T09:19:32.1597900Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T09:19:32.1598686Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T09:19:32.1599808Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T09:19:32.1600628Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T09:19:32.1601863Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T09:19:32.1602626Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T09:19:32.1603827Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T09:19:32.1604582Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T09:19:32.1605860Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T09:19:32.1608659Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T09:19:32.1609479Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T09:19:32.1610740Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T09:19:32.1611592Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T09:19:32.1613049Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T09:19:32.1613657Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T09:19:32.1614869Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T09:19:32.1615739Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T09:19:32.1616919Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T09:19:32.1617805Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T09:19:32.1618974Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T09:19:32.1619790Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T09:19:32.1621013Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T09:19:32.1622181Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T09:19:32.1623016Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T09:19:32.1624211Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T09:19:32.1625047Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T09:19:32.1626190Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T09:19:32.1626998Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T09:19:32.1628215Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T09:19:32.1629384Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T09:19:32.1630088Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T09:19:32.1631249Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T09:19:32.1632087Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T09:19:32.1633351Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T09:19:32.1634191Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T09:19:32.1635333Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T09:19:32.1636143Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T09:19:32.1637300Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T09:19:32.1638171Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T09:19:32.1639407Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T09:19:32.1640272Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T09:19:32.1641472Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T09:19:32.1642348Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T09:19:32.1643573Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T09:19:32.1644459Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T09:19:32.1645620Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T09:19:32.1646465Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T09:19:32.1647790Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T09:19:32.1648732Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T09:19:32.1650010Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T09:19:32.1650732Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T09:19:32.1652419Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T09:19:32.1653269Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T09:19:32.1654921Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T09:19:32.1655985Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T09:19:32.1656857Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T09:19:32.1658026Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T09:19:32.1658836Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T09:19:32.1660038Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T09:19:32.1661100Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T09:19:32.1661933Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T09:19:32.1663084Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T09:19:32.1664195Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T09:19:32.1665018Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T09:19:32.1666351Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T09:19:32.1667233Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T09:19:32.1668383Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T09:19:32.1669486Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T09:19:32.1670282Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T09:19:32.1671429Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T09:19:32.1672272Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T09:19:32.1673675Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T09:19:32.1674493Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T09:19:32.1675650Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T09:19:32.1676447Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T09:19:32.1677776Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T09:19:32.1678578Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T09:19:32.1679716Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T09:19:32.1680582Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T09:19:32.1681890Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T09:19:32.1682766Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T09:19:32.1683928Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T09:19:32.1684777Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T09:19:32.1685944Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T09:19:32.1686826Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T09:19:32.1687905Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T09:19:32.1689140Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T09:19:32.1690365Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T09:19:32.1691208Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T09:19:32.1692364Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T09:19:32.1693521Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T09:19:32.1694362Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T09:19:32.1695523Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T09:19:32.1696367Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T09:19:32.1697527Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T09:19:32.1698702Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T09:19:32.1699554Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T09:19:32.1700728Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T09:19:32.1701617Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T09:19:32.1702909Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T09:19:32.1703971Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T09:19:32.1705048Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T09:19:32.1706425Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T09:19:32.1707536Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T09:19:32.1708790Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T09:19:32.1710008Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T09:19:32.1711404Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T09:19:32.1712533Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T09:19:32.1713333Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T09:19:32.1714509Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T09:19:32.1715650Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T09:19:32.1716382Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T09:19:32.1717685Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T09:19:32.1718955Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T09:19:32.1720022Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T09:19:32.1720890Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T09:19:32.1722108Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T09:19:32.1723615Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T09:19:32.1724764Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T09:19:32.1725609Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T09:19:32.1726796Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T09:19:32.1727512Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T09:19:32.1728937Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T09:19:32.1729796Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T09:19:32.1730991Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T09:19:32.1731812Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T09:19:32.1733023Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T09:19:32.1733827Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T09:19:32.1735040Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T09:19:32.1736041Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T09:19:32.1737256Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T09:19:32.1738100Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T09:19:32.1739359Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T09:19:32.1740074Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T09:19:32.1740946Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T09:19:32.1742150Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T09:19:32.1742989Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T09:19:32.1744154Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T09:19:32.1745309Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T09:19:32.1746168Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T09:19:32.1747393Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T09:19:32.1748238Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T09:19:32.1749445Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T09:19:32.1750324Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T09:19:32.1751619Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T09:19:32.1752499Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T09:19:32.1753784Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T09:19:32.1754929Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T09:19:32.1756052Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T09:19:32.1756905Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T09:19:32.1758263Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T09:19:32.1759367Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T09:19:32.1760449Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T09:19:32.1761580Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T09:19:32.1762333Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T09:19:32.1763617Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T09:19:32.1764799Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T09:19:32.1765642Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T09:19:32.1766865Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T09:19:32.1768468Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T09:19:32.1769629Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T09:19:32.1770509Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T09:19:32.1771753Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T09:19:32.1772811Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T09:19:32.1773934Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T09:19:32.1774820Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T09:19:32.1776029Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T09:19:32.1777169Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T09:19:32.1777979Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T09:19:32.1779216Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T09:19:32.1780076Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T09:19:32.1781350Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T09:19:32.1782470Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T09:19:32.1783307Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T09:19:32.1784726Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T09:19:32.1785786Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T09:19:32.1786860Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T09:19:32.1787976Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T09:19:32.1788850Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T09:19:32.1790079Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T09:19:32.1791186Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T09:19:32.1792673Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T09:19:32.1793786Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T09:19:32.1794918Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T09:19:32.1795774Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T09:19:32.1796992Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T09:19:32.1797879Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T09:19:32.1799138Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T09:19:32.1800218Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T09:19:32.1801341Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T09:19:32.1802186Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T09:19:32.1803430Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T09:19:32.1804355Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T09:19:32.1805534Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T09:19:32.1808699Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T09:19:32.1808925Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T09:19:32.1813377Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T09:19:32.1813590Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T09:19:32.1815120Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T09:19:32.1815989Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T09:19:32.1817267Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T09:19:32.1818594Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T09:19:32.1819257Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T09:19:32.1820471Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T09:19:32.1821557Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T09:19:32.1822620Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T09:19:32.1823758Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T09:19:32.1824608Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T09:19:32.1825798Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T09:19:32.1826671Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T09:19:32.1827826Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T09:19:32.1829260Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T09:19:32.1830053Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T09:19:32.1831337Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T09:19:32.1832505Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T09:19:32.1833616Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T09:19:32.1834456Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T09:19:32.1835648Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T09:19:32.1836531Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T09:19:32.1837757Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T09:19:32.1838826Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T09:19:32.1839699Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T09:19:32.1840905Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T09:19:32.1841984Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T09:19:32.1843281Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T09:19:32.1844418Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T09:19:32.1845192Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T09:19:32.1846493Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T09:19:32.1847714Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T09:19:32.1848286Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T09:19:32.1849857Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T09:19:32.1850711Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T09:19:32.1851971Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T09:19:32.1853170Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T09:19:32.1853843Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T09:19:32.1855242Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T09:19:32.1856103Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T09:19:32.1857483Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T09:19:32.1858629Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T09:19:32.1859428Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T09:19:32.1860548Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T09:19:32.1861228Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T09:19:32.1862381Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T09:19:32.1863447Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T09:19:32.1864558Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T09:19:32.1865874Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T09:19:32.1867408Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T09:19:32.1868293Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T09:19:32.1869511Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T09:19:32.1870669Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T09:19:32.1871741Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T09:19:32.1872807Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T09:19:32.1873882Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T09:19:32.1875031Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T09:19:32.1876517Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T09:19:32.1877599Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T09:19:32.1878712Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T09:19:32.1879585Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T09:19:32.1880966Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T09:19:32.1882043Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T09:19:32.1883108Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T09:19:32.1884262Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T09:19:32.1885440Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T09:19:32.1886514Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T09:19:32.1887662Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T09:19:32.1888558Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T09:19:32.1889835Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T09:19:32.1890947Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T09:19:32.1892107Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T09:19:32.1893322Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T09:19:32.1894392Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T09:19:32.1895640Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T09:19:32.1896526Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T09:19:32.1897834Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T09:19:32.1898671Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T09:19:32.1899932Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T09:19:32.1900585Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T09:19:32.1901928Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T09:19:32.1903092Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T09:19:32.1903853Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T09:19:32.1905126Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T09:19:32.1906291Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T09:19:32.1906844Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T09:19:32.1908501Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T09:19:32.1909378Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T09:19:32.1910655Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T09:19:32.1911780Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T09:19:32.1912914Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T09:19:32.1913742Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T09:19:32.1915011Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T09:19:32.1915900Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T09:19:32.1917252Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T09:19:32.1918336Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T09:19:32.1919411Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T09:19:32.1920304Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T09:19:32.1921526Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T09:19:32.1922405Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T09:19:32.1923682Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T09:19:32.1924770Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T09:19:32.1925902Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T09:19:32.1926857Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T09:19:32.1928170Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T09:19:32.1929408Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T09:19:32.1930476Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T09:19:32.1931556Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T09:19:32.1932678Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T09:19:32.1933566Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T09:19:32.1934934Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T09:19:32.1935920Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T09:19:32.1937619Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T09:19:32.1938862Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T09:19:32.1939941Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T09:19:32.1941075Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T09:19:32.1942201Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T09:19:32.1943456Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T09:19:32.1944519Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T09:19:32.1945641Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T09:19:32.1946325Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T09:19:32.1947742Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T09:19:32.1948812Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T09:19:32.1949703Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T09:19:32.1950939Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T09:19:32.1952109Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T09:19:32.1953812Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T09:19:32.1954690Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T09:19:32.1955924Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T09:19:32.1956593Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T09:19:32.1957924Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T09:19:32.1958995Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T09:19:32.1960064Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T09:19:32.1961146Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T09:19:32.1961893Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T09:19:32.1963204Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T09:19:32.1964278Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T09:19:32.1965091Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T09:19:32.1966385Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T09:19:32.1967524Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T09:19:32.1968743Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T09:19:32.1969973Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T09:19:32.1970820Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T09:19:32.1972219Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T09:19:32.1973329Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T09:19:32.1974482Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T09:19:32.1975547Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T09:19:32.1976336Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T09:19:32.1977562Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T09:19:32.1978645Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T09:19:32.1979708Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T09:19:32.1981170Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T09:19:32.1982389Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T09:19:32.1983451Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T09:19:32.1984660Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T09:19:32.1985771Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T09:19:32.1986954Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T09:19:32.1987752Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T09:19:32.1989109Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T09:19:32.1989904Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T09:19:32.1991135Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T09:19:32.1992206Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T09:19:32.1993348Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T09:19:32.1994532Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T09:19:32.1995410Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T09:19:32.1996658Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T09:19:32.1997548Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T09:19:32.1998890Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T09:19:32.1999965Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T09:19:32.2001077Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T09:19:32.2002140Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T09:19:32.2003221Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T09:19:32.2004335Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T09:19:32.2005512Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T09:19:32.2006577Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T09:19:32.2007746Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T09:19:32.2009142Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T09:19:32.2010381Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T09:19:32.2011275Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T09:19:32.2012608Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T09:19:32.2013492Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T09:19:32.2014773Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T09:19:32.2015968Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T09:19:32.2016797Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T09:19:32.2018057Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T09:19:32.2019625Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T09:19:32.2020745Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T09:19:32.2021937Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T09:19:32.2022653Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T09:19:32.2023971Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T09:19:32.2025245Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T09:19:32.2026007Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T09:19:32.2027140Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T09:19:32.2028020Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T09:19:32.2029329Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T09:19:32.2031131Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T09:19:32.2031994Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T09:19:32.2033579Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T09:19:32.2034169Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T09:19:32.2035460Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T09:19:32.2036622Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T09:19:32.2037890Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T09:19:32.2039012Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T09:19:32.2039859Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T09:19:32.2041046Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T09:19:32.2042144Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T09:19:32.2043294Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T09:19:32.2044128Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T09:19:32.2045487Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T09:19:32.2046347Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T09:19:32.2047644Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T09:19:32.2048905Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T09:19:32.2049723Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T09:19:32.2051083Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T09:19:32.2052199Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T09:19:32.2053364Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T09:19:32.2054537Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T09:19:32.2055329Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T09:19:32.2056522Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T09:19:32.2057403Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T09:19:32.2058757Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T09:19:32.2059487Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T09:19:32.2060640Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T09:19:32.2061365Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T09:19:32.2062686Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T09:19:32.2063869Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T09:19:32.2064733Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T09:19:32.2066068Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T09:19:32.2067197Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T09:19:32.2068351Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T09:19:32.2069568Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T09:19:32.2070389Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T09:19:32.2071677Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T09:19:32.2072877Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T09:19:32.2073504Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T09:19:32.2074941Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T09:19:32.2075760Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T09:19:32.2077089Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T09:19:32.2077920Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T09:19:32.2079265Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T09:19:32.2080780Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T09:19:32.2082038Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T09:19:32.2083261Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T09:19:32.2083983Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T09:19:32.2085302Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T09:19:32.2086411Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T09:19:32.2087606Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T09:19:32.2088595Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T09:19:32.2089856Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T09:19:32.2090681Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T09:19:32.2092130Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T09:19:32.2092972Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T09:19:32.2094444Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T09:19:32.2095566Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T09:19:32.2096416Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T09:19:32.2097653Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T09:19:32.2098771Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T09:19:32.2099479Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T09:19:32.2100784Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T09:19:32.2101600Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T09:19:32.2103142Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T09:19:32.2104254Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T09:19:32.2105094Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T09:19:32.2106391Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T09:19:32.2107587Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T09:19:32.2108823Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T09:19:32.2109563Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T09:19:32.2110763Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T09:19:32.2111927Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T09:19:32.2112675Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T09:19:32.2114033Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T09:19:32.2114836Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T09:19:32.2116126Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T09:19:32.2117362Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T09:19:32.2118511Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T09:19:32.2119685Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T09:19:32.2120419Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T09:19:32.2121576Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T09:19:32.2122392Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T09:19:32.2123878Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T09:19:32.2124678Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T09:19:32.2125933Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T09:19:32.2127247Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T09:19:32.2128037Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T09:19:32.2129455Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T09:19:32.2130248Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T09:19:32.2131650Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T09:19:32.2132475Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T09:19:32.2133790Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T09:19:32.2135115Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T09:19:32.2135915Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T09:19:32.2137235Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T09:19:32.2138071Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T09:19:32.2139314Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T09:19:32.2140134Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T09:19:32.2141487Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T09:19:32.2142602Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T09:19:32.2143233Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T09:19:32.2144588Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T09:19:32.2145429Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T09:19:32.2146576Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T09:19:32.2147395Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T09:19:32.2148723Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T09:19:32.2149537Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T09:19:32.2151257Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T09:19:32.2152362Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T09:19:32.2153521Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T09:19:32.2154322Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T09:19:32.2155490Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T09:19:32.2156656Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T09:19:32.2157922Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T09:19:32.2159096Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T09:19:32.2159766Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T09:19:32.2160946Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T09:19:32.2161482Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T09:19:32.2162704Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T09:19:32.2163335Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T09:19:32.2164486Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T09:19:32.2165101Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T09:19:32.2166375Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T09:19:32.2166979Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T09:19:32.2168119Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T09:19:32.2168811Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T09:19:32.2170024Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T09:19:32.2170633Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T09:19:32.2171801Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T09:19:32.2172517Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T09:19:32.2173423Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T09:19:32.2174569Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T09:19:32.2175247Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T09:19:32.2176377Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T09:19:32.2177001Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T09:19:32.2178161Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T09:19:32.2178796Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T09:19:32.2179880Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T09:19:32.2180670Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T09:19:32.2181970Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T09:19:32.2183177Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T09:19:32.2184460Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T09:19:32.2957490Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T09:19:32.2985232Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:32.2989334Z ##[endgroup]
2025-12-04T09:19:32.2989630Z ##[group]Determining the checkout info
2025-12-04T09:19:32.2990544Z ##[endgroup]
2025-12-04T09:19:32.2994463Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T09:19:32.3028921Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T09:19:32.3057161Z ##[group]Checking out the ref
2025-12-04T09:19:32.3060095Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:33.3352967Z Updating files:  79% (16039/20121)
2025-12-04T09:19:33.3680030Z Updating files:  80% (16097/20121)
2025-12-04T09:19:33.3971958Z Updating files:  81% (16299/20121)
2025-12-04T09:19:33.4188016Z Updating files:  82% (16500/20121)
2025-12-04T09:19:33.4341068Z Updating files:  83% (16701/20121)
2025-12-04T09:19:33.4481200Z Updating files:  84% (16902/20121)
2025-12-04T09:19:33.4643479Z Updating files:  85% (17103/20121)
2025-12-04T09:19:33.4800864Z Updating files:  86% (17305/20121)
2025-12-04T09:19:33.4944325Z Updating files:  87% (17506/20121)
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2025-12-04T09:19:33.5833396Z Updating files:  93% (18713/20121)
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2025-12-04T09:19:33.6234619Z Updating files:  95% (19115/20121)
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2025-12-04T09:19:33.7037509Z Updating files: 100% (20121/20121), done.
2025-12-04T09:19:33.7329866Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T09:19:33.7330208Z 
2025-12-04T09:19:33.7330455Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T09:19:33.7331029Z changes and commit them, and you can discard any commits you make in this
2025-12-04T09:19:33.7331621Z state without impacting any branches by switching back to a branch.
2025-12-04T09:19:33.7331978Z 
2025-12-04T09:19:33.7332208Z If you want to create a new branch to retain commits you create, you may
2025-12-04T09:19:33.7332973Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T09:19:33.7333276Z 
2025-12-04T09:19:33.7333408Z   git switch -c <new-branch-name>
2025-12-04T09:19:33.7333632Z 
2025-12-04T09:19:33.7333750Z Or undo this operation with:
2025-12-04T09:19:33.7333950Z 
2025-12-04T09:19:33.7334045Z   git switch -
2025-12-04T09:19:33.7334184Z 
2025-12-04T09:19:33.7334446Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T09:19:33.7334811Z 
2025-12-04T09:19:33.7335095Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T09:19:33.7406855Z ##[endgroup]
2025-12-04T09:19:33.7407658Z ##[group]Setting up auth for fetching submodules
2025-12-04T09:19:33.7414021Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:19:33.7467088Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T09:19:33.7496258Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T09:19:33.7524801Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T09:19:33.7550593Z ##[endgroup]
2025-12-04T09:19:33.7551046Z ##[group]Fetching submodules
2025-12-04T09:19:33.7554495Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T09:19:33.7908809Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T09:19:33.8255721Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T09:19:33.8257230Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T09:19:33.8259668Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T09:19:33.8263093Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T09:19:33.8266026Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T09:19:33.8269426Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T09:19:33.8272283Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T09:19:33.8275439Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T09:19:33.8278873Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T09:19:33.8282517Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T09:19:33.8286223Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T09:19:33.8289803Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T09:19:33.8293723Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T09:19:33.8297492Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T09:19:33.8301510Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T09:19:33.8305778Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T09:19:33.8311802Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T09:19:33.8316325Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T09:19:33.8320704Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:19:33.8324955Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T09:19:33.8329731Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T09:19:33.8334239Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T09:19:33.8339025Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T09:19:33.8343802Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T09:19:33.8348803Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T09:19:33.8353757Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T09:19:33.8358866Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T09:19:33.8366862Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T09:19:33.8370015Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T09:19:33.8375215Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T09:19:33.8380772Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T09:19:33.8386330Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T09:19:33.8392132Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T09:19:33.8399341Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T09:19:33.8405336Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T09:19:33.8412309Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T09:19:33.8418412Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T09:19:33.8454902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T09:19:34.0940979Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T09:19:34.0942558Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T09:19:34.0973807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T09:19:37.4023829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T09:19:37.4025696Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T09:19:37.4027198Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T09:19:37.4028521Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T09:19:37.4176874Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T09:19:37.4178699Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T09:19:37.4180186Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T09:19:37.4181730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T09:19:37.4183172Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T09:19:37.4184560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T09:19:37.4185954Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T09:19:37.4187406Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T09:19:37.4188902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T09:19:37.4190384Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T09:19:37.4191770Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T09:19:37.4193195Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T09:19:37.4194716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T09:19:37.7606231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T09:19:37.8464587Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T09:19:57.5009513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T09:19:57.5010435Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T09:19:57.5011267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T09:19:57.5012600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T09:19:57.5013366Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T09:19:57.5014195Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T09:19:57.5015298Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T09:19:57.5016638Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T09:19:57.5018059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T09:19:57.5019378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T09:19:57.5020898Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T09:19:57.6010521Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T09:20:01.7745230Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T09:20:01.7746065Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T09:20:01.7920428Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T09:20:01.8059346Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T09:20:01.8168058Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T09:20:01.8437389Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T09:20:01.9327071Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T09:20:01.9863305Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T09:20:02.7637199Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T09:20:02.9621145Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T09:20:02.9643915Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:20:02.9675148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T09:20:08.1422836Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T09:20:08.1685100Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T09:20:08.5409250Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:08.5923179Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T09:20:08.6949793Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T09:20:08.7460849Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T09:20:09.4323067Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T09:20:09.5962887Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T09:20:09.5987250Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T09:20:09.5990155Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:20:09.5992920Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:20:09.5995997Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T09:20:09.5999110Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T09:20:09.6002311Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:20:09.6005426Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T09:20:09.6039138Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T09:20:10.9765093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T09:20:10.9766981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T09:20:10.9769079Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T09:20:11.0766227Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T09:20:14.6018727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T09:20:14.7019340Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T09:20:17.9233582Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T09:20:18.2968687Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:18.4029365Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T09:20:19.0724196Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T09:20:19.1221321Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:19.1352210Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T09:20:19.2429735Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T09:20:19.3171179Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T09:20:19.3192632Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:20:19.3195338Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:20:19.3227005Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T09:20:23.9887656Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T09:20:24.2487920Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T09:20:24.8482743Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T09:20:24.9965317Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T09:20:25.0284578Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T09:20:25.0714037Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T09:20:25.1011234Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T09:20:25.1514228Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:25.1670443Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T09:20:25.1689737Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T09:20:25.1721680Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T09:20:41.9465481Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T09:20:41.9692486Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T09:20:42.0603945Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T09:20:42.0626309Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:20:42.0628102Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:20:42.0631343Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:20:42.0663934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T09:20:42.8413923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T09:20:43.6753553Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T09:20:43.7714182Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T09:20:43.7735186Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:20:43.7738047Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:20:43.7741041Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:20:43.7744089Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:20:43.7747242Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:20:43.7750647Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:20:43.7754533Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:20:43.7758513Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:20:43.7762819Z 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'
2025-12-04T09:20:43.7796672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T09:20:45.7750224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T09:20:45.7751989Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T09:20:45.7753460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T09:20:45.7754721Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T09:20:45.7755895Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T09:20:45.7757436Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T09:20:45.7758671Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T09:20:45.8750909Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T09:20:53.0314425Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T09:20:53.0511449Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T09:20:53.0908154Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T09:20:53.1059206Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T09:20:53.1077888Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:20:53.1108823Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T09:20:53.3840282Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T09:20:53.4047393Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T09:20:53.4533562Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:53.5567440Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T09:20:53.5755964Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T09:20:53.5939551Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T09:20:53.5957411Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:20:53.5960381Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:20:53.5992389Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:20:56.0169324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:20:56.2845723Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T09:20:56.3350268Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:20:56.3702452Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T09:20:56.4192129Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:56.4803435Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T09:20:56.5222744Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T09:20:56.6288872Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T09:20:57.0657723Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T09:20:57.0701775Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T09:20:57.0736170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T09:20:57.9222889Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T09:20:57.9998632Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T09:20:58.0023773Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:20:58.0026372Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:20:58.0029284Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:20:58.0032369Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:20:58.0035694Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:20:58.0038869Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:20:58.0042322Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:20:58.0045562Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:20:58.0081181Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T09:20:58.4397691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T09:20:58.4399136Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T09:20:58.4400418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T09:20:58.5398908Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T09:20:58.5400271Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T09:20:59.2064802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T09:21:06.5256641Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T09:21:07.2601251Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T09:21:07.3039139Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T09:21:07.3223688Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T09:21:07.4318208Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T09:21:07.4473322Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T09:21:07.4640966Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T09:21:07.4814932Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T09:21:07.4833924Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:07.4837264Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:07.4868727Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:21:09.6648715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:21:09.9299561Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T09:21:09.9801963Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:21:10.4880225Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T09:21:10.5019169Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T09:21:10.7912066Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T09:21:10.7937472Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:10.7940270Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:10.7971932Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T09:21:11.2875753Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T09:21:11.7539293Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T09:21:11.8313416Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T09:21:11.8424796Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T09:21:11.8564487Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T09:21:11.9023555Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T09:21:11.9331184Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T09:21:11.9797019Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T09:21:12.0100162Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T09:21:12.0121506Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:12.0124082Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:12.0126937Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:12.0130101Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:12.0162196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T09:21:13.2885684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T09:21:13.2886722Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-12-04T09:21:13.3007572Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-12-04T09:21:13.3622991Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
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2025-12-04T09:21:14.1080212Z ##[endgroup]
2025-12-04T09:21:14.1080722Z ##[group]Persisting credentials for submodules
2025-12-04T09:21:14.1087225Z [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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2025-12-04T09:21:14.6429653Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:14.6493293Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-12-04T09:21:14.6684241Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:14.6745550Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:14.6827817Z [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"
2025-12-04T09:21:14.7169050Z Entering 'android/libs/fbjni'
2025-12-04T09:21:14.7229720Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T09:21:14.7248452Z Entering 'third_party/FP16'
2025-12-04T09:21:14.7310513Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
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2025-12-04T09:21:14.7389389Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2025-12-04T09:21:14.7467525Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
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2025-12-04T09:21:14.7627973Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
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2025-12-04T09:21:14.7707902Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
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2025-12-04T09:21:14.7803534Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
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2025-12-04T09:21:14.7882761Z 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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2025-12-04T09:21:14.7979845Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T09:21:14.8053044Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
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2025-12-04T09:21:14.8142041Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T09:21:14.8161377Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:14.8223069Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T09:21:14.8242722Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:14.8303103Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
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2025-12-04T09:21:14.8387029Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
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2025-12-04T09:21:15.4650745Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-12-04T09:21:15.6254950Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:15.6310771Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:15.6371257Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:15.6424833Z Entering 'third_party/fmt'
2025-12-04T09:21:15.6475326Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:15.6524879Z Entering 'third_party/gloo'
2025-12-04T09:21:15.6574577Z Entering 'third_party/googletest'
2025-12-04T09:21:15.6625883Z Entering 'third_party/ideep'
2025-12-04T09:21:15.6674505Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:15.6732043Z Entering 'third_party/ittapi'
2025-12-04T09:21:15.6781777Z Entering 'third_party/kineto'
2025-12-04T09:21:15.6831443Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:15.6879685Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:15.6929731Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:15.6978505Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:15.7027937Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:15.7075726Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:15.7127326Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:15.7179638Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:15.7228116Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:15.7277785Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:15.7327261Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:15.7375351Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:15.7431976Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:15.7485772Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:15.7534503Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:15.7584192Z Entering 'third_party/kleidiai'
2025-12-04T09:21:15.7635324Z Entering 'third_party/mimalloc'
2025-12-04T09:21:15.7685544Z Entering 'third_party/nlohmann'
2025-12-04T09:21:15.7737836Z Entering 'third_party/onnx'
2025-12-04T09:21:15.7804818Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:15.7857486Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:15.7909406Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:15.7957702Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:15.8006827Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:15.8056784Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:15.8107329Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:15.8157410Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:15.8205372Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:15.8253992Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:15.8303047Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:15.8353945Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:15.8425268Z Entering 'third_party/pocketfft'
2025-12-04T09:21:15.8476155Z Entering 'third_party/protobuf'
2025-12-04T09:21:15.8530687Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:15.8579451Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:15.8631795Z Entering 'third_party/psimd'
2025-12-04T09:21:15.8683888Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:15.8735374Z Entering 'third_party/pybind11'
2025-12-04T09:21:15.8786532Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:15.8837743Z Entering 'third_party/sleef'
2025-12-04T09:21:15.8888445Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:15.8937659Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:15.8987509Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:15.9038224Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:15.9086048Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:15.9133690Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:15.9202268Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T09:21:15.9546801Z Entering 'android/libs/fbjni'
2025-12-04T09:21:15.9597577Z Entering 'third_party/FP16'
2025-12-04T09:21:15.9646923Z Entering 'third_party/FXdiv'
2025-12-04T09:21:15.9695798Z Entering 'third_party/NNPACK'
2025-12-04T09:21:15.9746763Z Entering 'third_party/NVTX'
2025-12-04T09:21:15.9797746Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:15.9846533Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:15.9911702Z Entering 'third_party/aiter'
2025-12-04T09:21:15.9961886Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:16.0021592Z Entering 'third_party/benchmark'
2025-12-04T09:21:16.0072474Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:16.0132184Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:16.0181933Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:16.0262001Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:16.0312102Z Entering 'third_party/cutlass'
2025-12-04T09:21:16.0371333Z Entering 'third_party/fbgemm'
2025-12-04T09:21:16.0424322Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:16.0472308Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:16.0532741Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:16.0582811Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:16.0641764Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:16.0690625Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:16.0739779Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:16.0792039Z Entering 'third_party/flash-attention'
2025-12-04T09:21:16.0842634Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:16.0896818Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:16.0957624Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:16.1011419Z Entering 'third_party/fmt'
2025-12-04T09:21:16.1060462Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:16.1109989Z Entering 'third_party/gloo'
2025-12-04T09:21:16.1159225Z Entering 'third_party/googletest'
2025-12-04T09:21:16.1212386Z Entering 'third_party/ideep'
2025-12-04T09:21:16.1261340Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:16.1318324Z Entering 'third_party/ittapi'
2025-12-04T09:21:16.1367516Z Entering 'third_party/kineto'
2025-12-04T09:21:16.1417326Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:16.1466563Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:16.1517428Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:16.1565057Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:16.1615060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:16.1661849Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:16.1713117Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:16.1760825Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:16.1810678Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:16.1859589Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:16.1908873Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:16.1956447Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:16.2008633Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:16.2061517Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:16.2111195Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:16.2160755Z Entering 'third_party/kleidiai'
2025-12-04T09:21:16.2213439Z Entering 'third_party/mimalloc'
2025-12-04T09:21:16.2262483Z Entering 'third_party/nlohmann'
2025-12-04T09:21:16.2313637Z Entering 'third_party/onnx'
2025-12-04T09:21:16.2380482Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:16.2430488Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:16.2481434Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:16.2532385Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:16.2579697Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:16.2627546Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:16.2675895Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:16.2723891Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:16.2771151Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:16.2817495Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:16.2867303Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:16.2918706Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:16.2989725Z Entering 'third_party/pocketfft'
2025-12-04T09:21:16.3039630Z Entering 'third_party/protobuf'
2025-12-04T09:21:16.3092488Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:16.3143969Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:16.3195201Z Entering 'third_party/psimd'
2025-12-04T09:21:16.3246657Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:16.3296382Z Entering 'third_party/pybind11'
2025-12-04T09:21:16.3345630Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:16.3395996Z Entering 'third_party/sleef'
2025-12-04T09:21:16.3446734Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:16.3495300Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:16.3543167Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:16.3590352Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:16.3638644Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:16.3685700Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:16.3750397Z ##[endgroup]
2025-12-04T09:21:16.3789374Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T09:21:16.3815351Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:16.3922351Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:16.3923051Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:16.3923369Z # Clean stale submodule dirs
2025-12-04T09:21:16.3923715Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:21:16.3924150Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:16.3924549Z else
2025-12-04T09:21:16.3925004Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:16.3925396Z fi
2025-12-04T09:21:16.3932842Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:16.3933250Z env:
2025-12-04T09:21:16.3933482Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:16.3933751Z   NO_SUDO: true
2025-12-04T09:21:16.3933990Z ##[endgroup]
2025-12-04T09:21:16.4305076Z Entering 'android/libs/fbjni'
2025-12-04T09:21:16.4343928Z Entering 'third_party/FP16'
2025-12-04T09:21:16.4380460Z Entering 'third_party/FXdiv'
2025-12-04T09:21:16.4416429Z Entering 'third_party/NNPACK'
2025-12-04T09:21:16.4456237Z Entering 'third_party/NVTX'
2025-12-04T09:21:16.4499958Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:16.4537197Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:16.4668844Z Entering 'third_party/aiter'
2025-12-04T09:21:16.4717359Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:16.4833044Z Entering 'third_party/benchmark'
2025-12-04T09:21:16.4870563Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:16.4994980Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:16.5032984Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:16.5074245Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:16.5114339Z Entering 'third_party/cutlass'
2025-12-04T09:21:16.5225409Z Entering 'third_party/fbgemm'
2025-12-04T09:21:16.5292916Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:16.5329428Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:16.5452205Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:16.5491925Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:16.5617253Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:16.5655258Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:16.5688768Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:16.5738706Z Entering 'third_party/flash-attention'
2025-12-04T09:21:16.5785329Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:16.5891057Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:16.5986427Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:16.6064998Z Entering 'third_party/fmt'
2025-12-04T09:21:16.6102717Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:16.6141388Z Entering 'third_party/gloo'
2025-12-04T09:21:16.6179255Z Entering 'third_party/googletest'
2025-12-04T09:21:16.6218955Z Entering 'third_party/ideep'
2025-12-04T09:21:16.6253298Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:16.6343232Z Entering 'third_party/ittapi'
2025-12-04T09:21:16.6383707Z Entering 'third_party/kineto'
2025-12-04T09:21:16.6423680Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:16.6465186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:16.6515985Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:16.6552480Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:16.6589903Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:16.6624670Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:16.6659637Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:16.6695060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:16.6733116Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:16.6778261Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:16.6814716Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:16.6850135Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:16.6903817Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:16.6947029Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:16.6984358Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:16.7023624Z Entering 'third_party/kleidiai'
2025-12-04T09:21:16.7068528Z Entering 'third_party/mimalloc'
2025-12-04T09:21:16.7107491Z Entering 'third_party/nlohmann'
2025-12-04T09:21:16.7157613Z Entering 'third_party/onnx'
2025-12-04T09:21:16.7499511Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:16.7540596Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:16.7603454Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:16.7638967Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:16.7676719Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:16.7712248Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:16.7759159Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:16.7795321Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:16.7831156Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:16.7866761Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:16.7920213Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:16.7960302Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:16.8229394Z Entering 'third_party/pocketfft'
2025-12-04T09:21:16.8266221Z Entering 'third_party/protobuf'
2025-12-04T09:21:16.8349780Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:16.8384743Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:16.8425780Z Entering 'third_party/psimd'
2025-12-04T09:21:16.8460964Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:16.8498545Z Entering 'third_party/pybind11'
2025-12-04T09:21:16.8538438Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:16.8575966Z Entering 'third_party/sleef'
2025-12-04T09:21:16.8615983Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:16.8654606Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:16.8691625Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:16.8726396Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:16.8766306Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:16.8800791Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:16.8977070Z Prepare all required actions
2025-12-04T09:21:16.8977696Z Getting action download info
2025-12-04T09:21:17.0383517Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T09:21:17.0383864Z env:
2025-12-04T09:21:17.0384097Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.0384370Z ##[endgroup]
2025-12-04T09:21:17.0425165Z ##[group]Run set -euo pipefail
2025-12-04T09:21:17.0425533Z set -euo pipefail
2025-12-04T09:21:17.0425846Z function get_ec2_metadata() {
2025-12-04T09:21:17.0426251Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T09:21:17.0426912Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T09:21:17.0427504Z   category=$1
2025-12-04T09:21:17.0427891Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T09:21:17.0428343Z   runner_name_str=i-023512c996295bd8f
2025-12-04T09:21:17.0428760Z   if [[ -f /.inarc ]]; then
2025-12-04T09:21:17.0429121Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T09:21:17.0429539Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T09:21:17.0430052Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T09:21:17.0430510Z   else
2025-12-04T09:21:17.0431406Z     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}"
2025-12-04T09:21:17.0432369Z   fi
2025-12-04T09:21:17.0432600Z }
2025-12-04T09:21:17.0432881Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T09:21:17.0433321Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T09:21:17.0433832Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T09:21:17.0434274Z echo "system info $(uname -a)"
2025-12-04T09:21:17.0441342Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.0441739Z env:
2025-12-04T09:21:17.0441969Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.0442387Z ##[endgroup]
2025-12-04T09:21:17.0598310Z ami-id: ami-08982f1c5bf93d976
2025-12-04T09:21:17.0711922Z instance-id: i-023512c996295bd8f
2025-12-04T09:21:17.0825963Z instance-type: c5.4xlarge
2025-12-04T09:21:17.0838737Z system info Linux ip-10-0-35-102.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T09:21:17.0860484Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:17.0861000Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:17.0867888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.0868298Z env:
2025-12-04T09:21:17.0868528Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.0868814Z ##[endgroup]
2025-12-04T09:21:17.0914245Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:17.0915247Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:17.0921451Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.0921854Z env:
2025-12-04T09:21:17.0922084Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.0922354Z ##[endgroup]
2025-12-04T09:21:17.0976161Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T09:21:17.0976631Z if systemctl is-active --quiet docker; then
2025-12-04T09:21:17.0977041Z     echo "Docker daemon is running...";
2025-12-04T09:21:17.0977389Z else
2025-12-04T09:21:17.0977758Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T09:21:17.0978217Z fi
2025-12-04T09:21:17.0984193Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:17.0984606Z env:
2025-12-04T09:21:17.0984828Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.0985187Z ##[endgroup]
2025-12-04T09:21:17.1070709Z Docker daemon is running...
2025-12-04T09:21:17.1111500Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:21:17.1111813Z with:
2025-12-04T09:21:17.1112038Z   shell: bash
2025-12-04T09:21:17.1112278Z   timeout_minutes: 5
2025-12-04T09:21:17.1112540Z   max_attempts: 3
2025-12-04T09:21:17.1112784Z   retry_wait_seconds: 30
2025-12-04T09:21:17.1115238Z   command: AWS_ACCOUNT_ID=$(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

2025-12-04T09:21:17.1117706Z   polling_interval_seconds: 1
2025-12-04T09:21:17.1118020Z   warning_on_retry: true
2025-12-04T09:21:17.1118306Z   continue_on_error: false
2025-12-04T09:21:17.1118567Z env:
2025-12-04T09:21:17.1118794Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:17.1119085Z   AWS_RETRY_MODE: standard
2025-12-04T09:21:17.1119354Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T09:21:17.1119652Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:21:17.1119931Z ##[endgroup]
2025-12-04T09:21:18.3766822Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:18.3767482Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:18.3768095Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:18.3768568Z 
2025-12-04T09:21:18.3768686Z Login Succeeded
2025-12-04T09:21:19.2537273Z Command completed after 1 attempt(s).
2025-12-04T09:21:19.2588465Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:19.2589043Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:19.2589684Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:19.2598075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:19.2598487Z env:
2025-12-04T09:21:19.2598714Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:19.2598997Z ##[endgroup]
2025-12-04T09:21:19.2686321Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:19.2686927Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:19.2687392Z # shellcheck disable=SC2046
2025-12-04T09:21:19.2687762Z docker stop $(docker ps -q) || true
2025-12-04T09:21:19.2688147Z # Prune all of the docker images
2025-12-04T09:21:19.2688660Z docker system prune -af
2025-12-04T09:21:19.2695106Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:19.2695521Z env:
2025-12-04T09:21:19.2695751Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:19.2696051Z ##[endgroup]
2025-12-04T09:21:19.3151277Z "docker stop" requires at least 1 argument.
2025-12-04T09:21:19.3151697Z See 'docker stop --help'.
2025-12-04T09:21:19.3151884Z 
2025-12-04T09:21:19.3152071Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T09:21:19.3152358Z 
2025-12-04T09:21:19.3152475Z Stop one or more running containers
2025-12-04T09:21:19.3409400Z Total reclaimed space: 0B
2025-12-04T09:21:19.3603475Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T09:21:19.3603986Z with:
2025-12-04T09:21:19.3604838Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3605780Z   use-custom-docker-registry: true
2025-12-04T09:21:19.3606122Z   docker-build-dir: .ci/docker
2025-12-04T09:21:19.3606438Z   docker-build-script: ./build.sh
2025-12-04T09:21:19.3606741Z   working-directory: .
2025-12-04T09:21:19.3607504Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:19.3607941Z   force-push: false
2025-12-04T09:21:19.3608172Z env:
2025-12-04T09:21:19.3608471Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:19.3608758Z ##[endgroup]
2025-12-04T09:21:19.3629691Z ##[group]Run set -ex
2025-12-04T09:21:19.3630015Z set -ex
2025-12-04T09:21:19.3630260Z 
2025-12-04T09:21:19.3630737Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T09:21:19.3631447Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T09:21:19.3632065Z # job could then download the pre-built image as usual
2025-12-04T09:21:19.3632802Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T09:21:19.3633484Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3633850Z else
2025-12-04T09:21:19.3634133Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3634609Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3635028Z 
2025-12-04T09:21:19.3635621Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T09:21:19.3636300Z   exit 0
2025-12-04T09:21:19.3636525Z fi
2025-12-04T09:21:19.3636749Z 
2025-12-04T09:21:19.3637108Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T09:21:19.3637745Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T09:21:19.3638302Z   # use it as it is, but first let's extract the tag
2025-12-04T09:21:19.3638810Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T09:21:19.3639494Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3640001Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3640434Z else
2025-12-04T09:21:19.3640718Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T09:21:19.3641128Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T09:21:19.3641543Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T09:21:19.3641910Z   fi
2025-12-04T09:21:19.3642389Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T09:21:19.3643025Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3643704Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3644451Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3644916Z fi
2025-12-04T09:21:19.3651328Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:19.3651735Z env:
2025-12-04T09:21:19.3651969Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:19.3652247Z   REPO_NAME: pytorch
2025-12-04T09:21:19.3653273Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3654208Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:19.3654514Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T09:21:19.3654911Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:19.3655349Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T09:21:19.3655666Z   CUSTOM_TAG_PREFIX: 
2025-12-04T09:21:19.3655912Z ##[endgroup]
2025-12-04T09:21:19.3683391Z + [[ -d .ci/docker ]]
2025-12-04T09:21:19.3683761Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T09:21:19.3684204Z + [[ true == \t\r\u\e ]]
2025-12-04T09:21:19.3684650Z + echo skip=false
2025-12-04T09:21:19.3686560Z + [[ 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* ]]
2025-12-04T09:21:19.3691496Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3692395Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T09:21:19.3782693Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3783680Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3785411Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3810002Z ##[group]Run set +e
2025-12-04T09:21:19.3810332Z set +e
2025-12-04T09:21:19.3810567Z set -x
2025-12-04T09:21:19.3810806Z 
2025-12-04T09:21:19.3811032Z login() {
2025-12-04T09:21:19.3811533Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:19.3812085Z }
2025-12-04T09:21:19.3812318Z 
2025-12-04T09:21:19.3812528Z retry () {
2025-12-04T09:21:19.3812817Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:19.3813153Z }
2025-12-04T09:21:19.3813360Z 
2025-12-04T09:21:19.3813606Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:19.3813930Z 
2025-12-04T09:21:19.3814160Z START_TIME=$(date +%s)
2025-12-04T09:21:19.3814459Z # Wait up to 120 minutes
2025-12-04T09:21:19.3814844Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T09:21:19.3815504Z   # Check if image already exists, if it does then skip building it
2025-12-04T09:21:19.3816014Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T09:21:19.3816402Z     exit 0
2025-12-04T09:21:19.3816649Z   fi
2025-12-04T09:21:19.3816864Z 
2025-12-04T09:21:19.3817277Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T09:21:19.3817987Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T09:21:19.3818698Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T09:21:19.3819244Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T09:21:19.3819675Z     # It's a Docker build job, let's build the image
2025-12-04T09:21:19.3820046Z     break
2025-12-04T09:21:19.3820292Z   else
2025-12-04T09:21:19.3820651Z     # It's a regular build job, wait for the image to become available
2025-12-04T09:21:19.3821087Z     sleep 300
2025-12-04T09:21:19.3821350Z   fi
2025-12-04T09:21:19.3821569Z done
2025-12-04T09:21:19.3821794Z 
2025-12-04T09:21:19.3822163Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T09:21:19.3822867Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T09:21:19.3823417Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T09:21:19.3823909Z   # if we're on the base branch then use the parent commit
2025-12-04T09:21:19.3824360Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T09:21:19.3824700Z else
2025-12-04T09:21:19.3825052Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T09:21:19.3825551Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T09:21:19.3825947Z fi
2025-12-04T09:21:19.3826174Z 
2025-12-04T09:21:19.3826411Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T09:21:19.3826799Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3827157Z 
2025-12-04T09:21:19.3827653Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T09:21:19.3828231Z   exit 0
2025-12-04T09:21:19.3828479Z fi
2025-12-04T09:21:19.3828705Z 
2025-12-04T09:21:19.3829021Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T09:21:19.3829753Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T09:21:19.3830382Z   exit 1
2025-12-04T09:21:19.3830609Z fi
2025-12-04T09:21:19.3830831Z 
2025-12-04T09:21:19.3831213Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T09:21:19.3831916Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T09:21:19.3832529Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T09:21:19.3833247Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T09:21:19.3834065Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T09:21:19.3834551Z fi
2025-12-04T09:21:19.3834764Z 
2025-12-04T09:21:19.3835042Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:19.3841096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:19.3841481Z env:
2025-12-04T09:21:19.3841710Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:19.3842003Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:19.3856354Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:19.3857579Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3858764Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:19.3859482Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:19.3859908Z   DOCKER_PUSH: 
2025-12-04T09:21:19.3860144Z ##[endgroup]
2025-12-04T09:21:19.3887246Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:19.3887712Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:19.3890274Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:19.3891824Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:19.9207548Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:19.9208707Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:19.9209450Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:19.9209867Z 
2025-12-04T09:21:19.9209995Z Login Succeeded
2025-12-04T09:21:19.9224620Z ++ date +%s
2025-12-04T09:21:19.9236094Z + START_TIME=1764840079
2025-12-04T09:21:19.9239542Z ++ date +%s
2025-12-04T09:21:19.9251264Z + [[ 1764832879 -lt 1764840079 ]]
2025-12-04T09:21:19.9252229Z + 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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2025-12-04T09:21:20.1539246Z 			"digest": "sha256:39cefc00ffedebc9098261c798408b87a20c95a88fccb110594077f48dadf760"
2025-12-04T09:21:20.1539735Z 		},
2025-12-04T09:21:20.1539933Z 		{
2025-12-04T09:21:20.1540278Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:20.1540708Z 			"size": 8071,
2025-12-04T09:21:20.1541142Z 			"digest": "sha256:6ae51eb61a325b2c2995a5088c81aa20821b75be65b5aa722c7c40556b5d03ea"
2025-12-04T09:21:20.1541638Z 		},
2025-12-04T09:21:20.1541832Z 		{
2025-12-04T09:21:20.1542177Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:20.1542618Z 			"size": 304,
2025-12-04T09:21:20.1543045Z 			"digest": "sha256:1fd5341e66dfc0c1ae23af014641a92a6fd02640c528fe6d4dc55921ed659a26"
2025-12-04T09:21:20.1543549Z 		},
2025-12-04T09:21:20.1543752Z 		{
2025-12-04T09:21:20.1544087Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:20.1544535Z 			"size": 13364291,
2025-12-04T09:21:20.1544990Z 			"digest": "sha256:72a7c87e35e40ab796f90aee1b51add7902f0cdc44406d2505b6c6a1f55a8da6"
2025-12-04T09:21:20.1545560Z 		},
2025-12-04T09:21:20.1545750Z 		{
2025-12-04T09:21:20.1546096Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:20.1546533Z 			"size": 108,
2025-12-04T09:21:20.1546962Z 			"digest": "sha256:ec36862ac98ebaac52ee1a8b1d162d45bd0e3bf59ae7e19c8f80ad3960b4c600"
2025-12-04T09:21:20.1547470Z 		},
2025-12-04T09:21:20.1547675Z 		{
2025-12-04T09:21:20.1548009Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:20.1548449Z 			"size": 54145699,
2025-12-04T09:21:20.1548897Z 			"digest": "sha256:05ddbf246e8add0e293474dbf88bb028d5a295a25ac59e8648a18db644377773"
2025-12-04T09:21:20.1549380Z 		},
2025-12-04T09:21:20.1549579Z 		{
2025-12-04T09:21:20.1549916Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:20.1550339Z 			"size": 32,
2025-12-04T09:21:20.1550767Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T09:21:20.1551262Z 		}
2025-12-04T09:21:20.1551476Z 	]
2025-12-04T09:21:20.1551665Z }
2025-12-04T09:21:20.1551896Z + exit 0
2025-12-04T09:21:20.1579971Z ##[group]Run set -eux
2025-12-04T09:21:20.1580278Z set -eux
2025-12-04T09:21:20.1580711Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T09:21:20.1582346Z 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
2025-12-04T09:21:20.1589289Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:20.1589700Z env:
2025-12-04T09:21:20.1589924Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:20.1590207Z ##[endgroup]
2025-12-04T09:21:20.1621110Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T09:21:20.1621988Z + jq --raw-output .SecretString
2025-12-04T09:21:20.1623173Z + jq -r .docker_hub_readonly_token
2025-12-04T09:21:20.1624544Z + docker login --username pytorchbot --password-stdin
2025-12-04T09:21:20.7522463Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:20.7523139Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:20.7523746Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:20.7524176Z 
2025-12-04T09:21:20.7524736Z Login Succeeded
2025-12-04T09:21:20.7611475Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:20.7611887Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:20.7612312Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T09:21:20.7619084Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:20.7619477Z env:
2025-12-04T09:21:20.7619711Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:20.7620592Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:20.7621500Z ##[endgroup]
2025-12-04T09:21:20.7652125Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:20.7698127Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T09:21:20.7698599Z with:
2025-12-04T09:21:20.7699412Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:20.7700418Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:20.7701013Z env:
2025-12-04T09:21:20.7701229Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:20.7701511Z ##[endgroup]
2025-12-04T09:21:20.7716652Z ##[group]Run set -x
2025-12-04T09:21:20.7716947Z set -x
2025-12-04T09:21:20.7717180Z set +e
2025-12-04T09:21:20.7717417Z 
2025-12-04T09:21:20.7717642Z login() {
2025-12-04T09:21:20.7718265Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:20.7718930Z }
2025-12-04T09:21:20.7719157Z 
2025-12-04T09:21:20.7719419Z retry () {
2025-12-04T09:21:20.7719699Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:20.7720031Z }
2025-12-04T09:21:20.7720250Z 
2025-12-04T09:21:20.7720500Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:20.7720813Z 
2025-12-04T09:21:20.7721330Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T09:21:20.7722031Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T09:21:20.7722412Z 
2025-12-04T09:21:20.7722638Z set -e
2025-12-04T09:21:20.7723002Z # ignore output since only exit code is used for conditional
2025-12-04T09:21:20.7723523Z # only pull docker image if it's not available locally
2025-12-04T09:21:20.7724090Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T09:21:20.7724629Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T09:21:20.7724971Z fi
2025-12-04T09:21:20.7730971Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:20.7731379Z env:
2025-12-04T09:21:20.7731613Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:20.7732465Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:20.7733463Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:20.7733873Z ##[endgroup]
2025-12-04T09:21:20.7759351Z + set +e
2025-12-04T09:21:20.7759966Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:20.7760695Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:20.7763310Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:20.7764448Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:21.3120763Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:21.3121423Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:21.3122038Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:21.3122453Z 
2025-12-04T09:21:21.3122974Z Login Succeeded
2025-12-04T09:21:21.3141095Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:21.3142125Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T09:21:21.5278918Z + IMAGE_SIZE=15091.581844329834
2025-12-04T09:21:21.5279414Z + echo 'Compressed size of image in MB: 15091.581844329834'
2025-12-04T09:21:21.5279849Z + set -e
2025-12-04T09:21:21.5280738Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:21.5282007Z Compressed size of image in MB: 15091.581844329834
2025-12-04T09:21:21.5407376Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:21.5408987Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:21.7504162Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T09:21:21.7505718Z 63e5bc7682b8: Pulling fs layer
2025-12-04T09:21:21.7506198Z 0678d56345c9: Pulling fs layer
2025-12-04T09:21:21.7506695Z 45f5c9ddfce7: Pulling fs layer
2025-12-04T09:21:21.7507611Z 086b1df51ac1: Pulling fs layer
2025-12-04T09:21:21.7508167Z fe8a7b64bf98: Pulling fs layer
2025-12-04T09:21:21.7508515Z 7680723e9a57: Pulling fs layer
2025-12-04T09:21:21.7509052Z 9c5027aeeb4e: Pulling fs layer
2025-12-04T09:21:21.7509358Z 9a5652110360: Pulling fs layer
2025-12-04T09:21:21.7509863Z 375c4427e914: Pulling fs layer
2025-12-04T09:21:21.7510344Z a86faaa7dbdd: Pulling fs layer
2025-12-04T09:21:21.7510854Z fb7848686804: Pulling fs layer
2025-12-04T09:21:21.7511398Z 3541df015cdb: Pulling fs layer
2025-12-04T09:21:21.7511904Z 086b1df51ac1: Waiting
2025-12-04T09:21:21.7512442Z 79dc80f426b2: Pulling fs layer
2025-12-04T09:21:21.7512847Z a13fcc1b90bb: Pulling fs layer
2025-12-04T09:21:21.7513197Z 9c5027aeeb4e: Waiting
2025-12-04T09:21:21.7513535Z 4f4fb700ef54: Pulling fs layer
2025-12-04T09:21:21.7513941Z 549db4d6c618: Pulling fs layer
2025-12-04T09:21:21.7514235Z fe8a7b64bf98: Waiting
2025-12-04T09:21:21.7514622Z 9a5652110360: Waiting
2025-12-04T09:21:21.7514899Z 5c63528cb580: Pulling fs layer
2025-12-04T09:21:21.7515201Z 75bd83b989a4: Pulling fs layer
2025-12-04T09:21:21.7515490Z a86faaa7dbdd: Waiting
2025-12-04T09:21:21.7515855Z de6e78970f51: Pulling fs layer
2025-12-04T09:21:21.7516154Z 375c4427e914: Waiting
2025-12-04T09:21:21.7516420Z e13ed7c7e473: Pulling fs layer
2025-12-04T09:21:21.7516751Z 79dc80f426b2: Waiting
2025-12-04T09:21:21.7516992Z a13fcc1b90bb: Waiting
2025-12-04T09:21:21.7517257Z 6e2949bcb741: Pulling fs layer
2025-12-04T09:21:21.7517541Z 549db4d6c618: Waiting
2025-12-04T09:21:21.7517793Z 14d69d9aaec7: Pulling fs layer
2025-12-04T09:21:21.7518079Z 4f4fb700ef54: Waiting
2025-12-04T09:21:21.7518331Z de6e78970f51: Waiting
2025-12-04T09:21:21.7518567Z 3541df015cdb: Waiting
2025-12-04T09:21:21.7518830Z 5c02769dd8e5: Pulling fs layer
2025-12-04T09:21:21.7519128Z 6e2949bcb741: Waiting
2025-12-04T09:21:21.7519363Z 14d69d9aaec7: Waiting
2025-12-04T09:21:21.7519613Z e13ed7c7e473: Waiting
2025-12-04T09:21:21.7519876Z 35041ce524ac: Pulling fs layer
2025-12-04T09:21:21.7520156Z 75bd83b989a4: Waiting
2025-12-04T09:21:21.7520425Z 2fa92dc5885e: Pulling fs layer
2025-12-04T09:21:21.7520729Z 2b85eafbd92a: Pulling fs layer
2025-12-04T09:21:21.7521021Z ff755a4ddad7: Pulling fs layer
2025-12-04T09:21:21.7521316Z 5c63528cb580: Waiting
2025-12-04T09:21:21.7521569Z 2b85eafbd92a: Waiting
2025-12-04T09:21:21.7521822Z 09eb41bdf42d: Pulling fs layer
2025-12-04T09:21:21.7522120Z 11ede4d59e93: Pulling fs layer
2025-12-04T09:21:21.7522405Z 35041ce524ac: Waiting
2025-12-04T09:21:21.7522656Z ff755a4ddad7: Waiting
2025-12-04T09:21:21.7522896Z 09eb41bdf42d: Waiting
2025-12-04T09:21:21.7523157Z 1283cd8f801a: Pulling fs layer
2025-12-04T09:21:21.7523441Z 11ede4d59e93: Waiting
2025-12-04T09:21:21.7523675Z fb7848686804: Waiting
2025-12-04T09:21:21.7523971Z 024fa855425f: Pulling fs layer
2025-12-04T09:21:21.7524263Z 303e6747a62e: Pulling fs layer
2025-12-04T09:21:21.7524562Z 3017cdf4838b: Pulling fs layer
2025-12-04T09:21:21.7524836Z 2fa92dc5885e: Waiting
2025-12-04T09:21:21.7525109Z 6b6cd1c358e8: Pulling fs layer
2025-12-04T09:21:21.7525401Z 303e6747a62e: Waiting
2025-12-04T09:21:21.7525640Z 3017cdf4838b: Waiting
2025-12-04T09:21:21.7525900Z b2dd04501124: Pulling fs layer
2025-12-04T09:21:21.7526182Z 024fa855425f: Waiting
2025-12-04T09:21:21.7526624Z 6b6cd1c358e8: Waiting
2025-12-04T09:21:21.7526898Z 55adc51fe589: Pulling fs layer
2025-12-04T09:21:21.7527200Z a43ca0e4b837: Pulling fs layer
2025-12-04T09:21:21.7527487Z b7212f17fd14: Pulling fs layer
2025-12-04T09:21:21.7527776Z 55adc51fe589: Waiting
2025-12-04T09:21:21.7528042Z 083e42cac090: Pulling fs layer
2025-12-04T09:21:21.7528313Z b2dd04501124: Waiting
2025-12-04T09:21:21.7528672Z 1283cd8f801a: Waiting
2025-12-04T09:21:21.7528923Z a43ca0e4b837: Waiting
2025-12-04T09:21:21.7529193Z 0a00b784a4aa: Pulling fs layer
2025-12-04T09:21:21.7529467Z 083e42cac090: Waiting
2025-12-04T09:21:21.7529731Z c6173c779f7b: Pulling fs layer
2025-12-04T09:21:21.7530030Z ed3d1e3387b9: Pulling fs layer
2025-12-04T09:21:21.7530311Z b29343478586: Pulling fs layer
2025-12-04T09:21:21.7530718Z c6f0520487fb: Pulling fs layer
2025-12-04T09:21:21.7531003Z c6173c779f7b: Waiting
2025-12-04T09:21:21.7531241Z ed3d1e3387b9: Waiting
2025-12-04T09:21:21.7531491Z 7680723e9a57: Waiting
2025-12-04T09:21:21.7531757Z 148171691cd4: Pulling fs layer
2025-12-04T09:21:21.7532037Z 2c666d30ed77: Pulling fs layer
2025-12-04T09:21:21.7532318Z c6f0520487fb: Waiting
2025-12-04T09:21:21.7532565Z b29343478586: Waiting
2025-12-04T09:21:21.7532813Z 5d8d3a0a98e0: Pulling fs layer
2025-12-04T09:21:21.7533109Z b06bafce9e81: Pulling fs layer
2025-12-04T09:21:21.7533404Z 15e0d7e4590d: Pulling fs layer
2025-12-04T09:21:21.7533678Z b06bafce9e81: Waiting
2025-12-04T09:21:21.7533931Z 2c666d30ed77: Waiting
2025-12-04T09:21:21.7534195Z a514bd1add31: Pulling fs layer
2025-12-04T09:21:21.7534465Z 148171691cd4: Waiting
2025-12-04T09:21:21.7534728Z 57b84ee60002: Pulling fs layer
2025-12-04T09:21:21.7535011Z 15e0d7e4590d: Waiting
2025-12-04T09:21:21.7535283Z b8babeff6d81: Pulling fs layer
2025-12-04T09:21:21.7535573Z 83779ddf6a85: Pulling fs layer
2025-12-04T09:21:21.7535856Z a514bd1add31: Waiting
2025-12-04T09:21:21.7536115Z 8b7620c0d736: Pulling fs layer
2025-12-04T09:21:21.7536389Z b8babeff6d81: Waiting
2025-12-04T09:21:21.7536641Z 83779ddf6a85: Waiting
2025-12-04T09:21:21.7536908Z 3bcfa090e4ef: Pulling fs layer
2025-12-04T09:21:21.7537181Z 8b7620c0d736: Waiting
2025-12-04T09:21:21.7537430Z 5d8d3a0a98e0: Waiting
2025-12-04T09:21:21.7537694Z eb0504ec4d92: Pulling fs layer
2025-12-04T09:21:21.7537981Z 15d0fec09d7b: Pulling fs layer
2025-12-04T09:21:21.7538269Z 3bcfa090e4ef: Waiting
2025-12-04T09:21:21.7538539Z cca81fcc62a9: Pulling fs layer
2025-12-04T09:21:21.7538815Z 15d0fec09d7b: Waiting
2025-12-04T09:21:21.7539075Z eb0504ec4d92: Waiting
2025-12-04T09:21:21.7539348Z b0b8f9b5c6ab: Pulling fs layer
2025-12-04T09:21:21.7539636Z 0606ca4d47a8: Pulling fs layer
2025-12-04T09:21:21.7539927Z cca81fcc62a9: Waiting
2025-12-04T09:21:21.7540187Z 0606ca4d47a8: Waiting
2025-12-04T09:21:21.7540435Z b0b8f9b5c6ab: Waiting
2025-12-04T09:21:21.7540712Z 2f80a4e1b3b9: Pulling fs layer
2025-12-04T09:21:21.7541014Z 35c916fb1bd0: Pulling fs layer
2025-12-04T09:21:21.7541305Z 2f80a4e1b3b9: Waiting
2025-12-04T09:21:21.7541558Z 195537b7dafc: Pulling fs layer
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2025-12-04T09:21:21.8407894Z 0678d56345c9: Verifying Checksum
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2025-12-04T09:27:47.4638265Z Digest: sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97
2025-12-04T09:27:47.4933385Z 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
2025-12-04T09:27:47.5117080Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:47.5207903Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:47.5209146Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:47.5218330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:47.5218733Z env:
2025-12-04T09:27:47.5218955Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:47.5219235Z ##[endgroup]
2025-12-04T09:27:47.5452054Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T09:27:47.5452519Z with:
2025-12-04T09:27:47.5452757Z   driver-version: 580.82.07
2025-12-04T09:27:47.5453025Z env:
2025-12-04T09:27:47.5453252Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:47.5453527Z ##[endgroup]
2025-12-04T09:27:47.5479725Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:47.5480701Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:47.5487170Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:47.5487751Z env:
2025-12-04T09:27:47.5487984Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:47.5488252Z ##[endgroup]
2025-12-04T09:27:47.5555281Z ##[group]Run set -euo pipefail
2025-12-04T09:27:47.5555628Z set -euo pipefail
2025-12-04T09:27:47.5555952Z 
2025-12-04T09:27:47.5556172Z has_gpu=false
2025-12-04T09:27:47.5556440Z devices=""
2025-12-04T09:27:47.5556692Z 
2025-12-04T09:27:47.5556975Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T09:27:47.5557457Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:47.5557872Z     has_gpu=true
2025-12-04T09:27:47.5558186Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:47.5558513Z   fi
2025-12-04T09:27:47.5558742Z fi
2025-12-04T09:27:47.5558968Z 
2025-12-04T09:27:47.5559201Z if [ "$has_gpu" = false ]; then
2025-12-04T09:27:47.5559633Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:47.5560050Z     has_gpu=true
2025-12-04T09:27:47.5560370Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:47.5560697Z   fi
2025-12-04T09:27:47.5560932Z fi
2025-12-04T09:27:47.5561159Z 
2025-12-04T09:27:47.5561480Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T09:27:47.5562029Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:47.5562476Z     has_gpu=true
2025-12-04T09:27:47.5562776Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:47.5563113Z   fi
2025-12-04T09:27:47.5563342Z fi
2025-12-04T09:27:47.5563550Z 
2025-12-04T09:27:47.5563876Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:47.5564449Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:47.5570528Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:47.5570921Z env:
2025-12-04T09:27:47.5571158Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:47.5571441Z ##[endgroup]
2025-12-04T09:27:47.6464975Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:27:47.6465393Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:27:47.6465781Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T09:27:47.6466314Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T09:27:47.6466790Z else
2025-12-04T09:27:47.6467078Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T09:27:47.6467429Z fi
2025-12-04T09:27:47.6473184Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:47.6473569Z env:
2025-12-04T09:27:47.6473782Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:47.6474040Z   HAS_NVIDIA: false
2025-12-04T09:27:47.6474291Z ##[endgroup]
2025-12-04T09:27:47.6608254Z Prepare all required actions
2025-12-04T09:27:47.6640487Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T09:27:47.6640863Z with:
2025-12-04T09:27:47.6641461Z   github-token: ***
2025-12-04T09:27:47.6641700Z env:
2025-12-04T09:27:47.6641933Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:47.6642224Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:47.6642474Z ##[endgroup]
2025-12-04T09:27:47.6670900Z ##[group]Run set -eux
2025-12-04T09:27:47.6671170Z set -eux
2025-12-04T09:27:47.6671642Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:27:47.6678276Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:47.6678678Z env:
2025-12-04T09:27:47.6678896Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:47.6679179Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:47.6679612Z   GITHUB_TOKEN: ***
2025-12-04T09:27:47.6679852Z ##[endgroup]
2025-12-04T09:27:47.6704783Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-023512c996295bd8f
2025-12-04T09:27:49.4378517Z Setting output job-id=57118431093
2025-12-04T09:27:49.4379270Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:49.4498804Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:27:49.4499609Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:27:49.4500630Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T09:27:49.4501538Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:27:49.4508850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:49.4509245Z env:
2025-12-04T09:27:49.4509483Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:49.4509771Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:49.4510039Z   JOB_ID: 57118431093
2025-12-04T09:27:49.4510573Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:49.4511173Z   WORKFLOW_NAME: periodic
2025-12-04T09:27:49.4511511Z   WORKFLOW_RUN_ID: 19922826259
2025-12-04T09:27:49.4511797Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T09:27:49.4512087Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T09:27:49.4512395Z ##[endgroup]
2025-12-04T09:27:49.8810142Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:27:50.2697655Z Collecting psutil==5.9.8
2025-12-04T09:27:50.2867349Z   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)
2025-12-04T09:27:50.3615684Z Collecting dataclasses_json==0.6.7
2025-12-04T09:27:50.3648919Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T09:27:50.3933066Z Collecting nvidia-ml-py==11.525.84
2025-12-04T09:27:50.3966944Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T09:27:50.5192139Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T09:27:50.5224753Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T09:27:50.5456246Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T09:27:50.5490708Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T09:27:50.6045240Z Collecting packaging>=17.0
2025-12-04T09:27:50.6087818Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T09:27:50.6327780Z Collecting mypy-extensions>=0.3.0
2025-12-04T09:27:50.6360545Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T09:27:50.6843484Z Collecting typing-extensions>=3.7.4
2025-12-04T09:27:50.6877914Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T09:27:50.7796184Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T09:27:51.0698903Z 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
2025-12-04T09:27:51.2564550Z Prepare all required actions
2025-12-04T09:27:51.2565003Z Getting action download info
2025-12-04T09:27:51.4140768Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:27:51.6351379Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T09:27:52.0234985Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T09:27:52.0235363Z with:
2025-12-04T09:27:52.0235623Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:27:52.0235972Z   s3-bucket: gha-artifacts
2025-12-04T09:27:52.0236233Z env:
2025-12-04T09:27:52.0236460Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:52.0236742Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:52.0237161Z ##[endgroup]
2025-12-04T09:27:52.0267519Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:27:52.0267886Z with:
2025-12-04T09:27:52.0268143Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:27:52.0268534Z   s3-bucket: gha-artifacts
2025-12-04T09:27:52.0268820Z   region: us-east-1
2025-12-04T09:27:52.0269045Z env:
2025-12-04T09:27:52.0269270Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:52.0269556Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:52.0269802Z ##[endgroup]
2025-12-04T09:27:52.4988310Z (node:44753) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:27:52.4988843Z 
2025-12-04T09:27:52.4989045Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:27:52.4989625Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:27:52.4990235Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:27:52.7464942Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.8-py3.10-gcc11/
2025-12-04T09:27:52.7465761Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:28:00.0949554Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:28:00.0955636Z Artifact download has finished successfully
2025-12-04T09:28:00.1167432Z ##[group]Run unzip -o artifacts.zip
2025-12-04T09:28:00.1167802Z unzip -o artifacts.zip
2025-12-04T09:28:00.1174225Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:00.1174621Z env:
2025-12-04T09:28:00.1174854Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:00.1175142Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:00.1175395Z ##[endgroup]
2025-12-04T09:28:00.1479789Z Archive:  artifacts.zip
2025-12-04T09:28:00.1481000Z    creating: dist/
2025-12-04T09:28:02.1657074Z   inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl  
2025-12-04T09:28:02.1787553Z   inflating: dist/.ninja_log         
2025-12-04T09:28:02.1788329Z    creating: build/custom_test_artifacts/
2025-12-04T09:28:02.1788796Z    creating: build/custom_test_artifacts/custom-op-build/
2025-12-04T09:28:02.1789351Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2025-12-04T09:28:02.1789992Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/
2025-12-04T09:28:02.1797191Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-12-04T09:28:02.1797900Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/
2025-12-04T09:28:02.1798616Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake  
2025-12-04T09:28:02.1799379Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/
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2025-12-04T09:28:02.1804645Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/
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2025-12-04T09:28:02.1933120Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/CMakeCUDACompilerId.module_id  
2025-12-04T09:28:02.1995799Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp1.ii  
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2025-12-04T09:28:02.2006640Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/a_dlink.reg.c  
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2025-12-04T09:28:02.2161787Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/
2025-12-04T09:28:02.2162559Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeTmp/
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2025-12-04T09:28:02.2164286Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/
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2025-12-04T09:28:02.2501319Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/progress.marks  
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2025-12-04T09:28:11.1309361Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T09:28:11.1356868Z ##[group]Run rm artifacts.zip
2025-12-04T09:28:11.1357195Z rm artifacts.zip
2025-12-04T09:28:11.1363799Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:11.1364203Z env:
2025-12-04T09:28:11.1364428Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:11.1364723Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:11.1365001Z ##[endgroup]
2025-12-04T09:28:11.1876182Z ##[group]Run df -H
2025-12-04T09:28:11.1876455Z df -H
2025-12-04T09:28:11.1882304Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:11.1882861Z env:
2025-12-04T09:28:11.1883095Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:11.1883517Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:11.1883785Z ##[endgroup]
2025-12-04T09:28:11.1944157Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T09:28:11.1944904Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T09:28:11.1945536Z tmpfs              17G     0   17G   0% /dev/shm
2025-12-04T09:28:11.1946214Z tmpfs             6.6G  521k  6.6G   1% /run
2025-12-04T09:28:11.1946759Z /dev/nvme0n1p1    161G   52G  110G  32% /
2025-12-04T09:28:11.1947119Z tmpfs              17G   13k   17G   1% /tmp
2025-12-04T09:28:11.1947480Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T09:28:11.1988033Z Prepare all required actions
2025-12-04T09:28:11.1988631Z Getting action download info
2025-12-04T09:28:11.3724627Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T09:28:11.3725008Z with:
2025-12-04T09:28:11.3725223Z env:
2025-12-04T09:28:11.3725434Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:11.3725720Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:11.3725984Z ##[endgroup]
2025-12-04T09:28:11.3757173Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:28:11.3757544Z with:
2025-12-04T09:28:11.3757754Z   name: td_results
2025-12-04T09:28:11.3758012Z   s3-bucket: gha-artifacts
2025-12-04T09:28:11.3758298Z   region: us-east-1
2025-12-04T09:28:11.3758525Z env:
2025-12-04T09:28:11.3758747Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:11.3759029Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:11.3759290Z ##[endgroup]
2025-12-04T09:28:12.0291118Z (node:44777) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:28:12.0292076Z 
2025-12-04T09:28:12.0292288Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:28:12.0292881Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:28:12.0293474Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:28:12.1311886Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/
2025-12-04T09:28:12.1312905Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:28:12.1917434Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:28:12.1922442Z Artifact download has finished successfully
2025-12-04T09:28:12.2090942Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T09:28:12.2103659Z mkdir -p .additional_ci_files
2025-12-04T09:28:12.2104217Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T09:28:12.2111024Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:12.2111429Z env:
2025-12-04T09:28:12.2111649Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:12.2111949Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:12.2112219Z ##[endgroup]
2025-12-04T09:28:12.2578026Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T09:28:12.2578449Z .github/scripts/parse_ref.py
2025-12-04T09:28:12.2584172Z shell: /usr/bin/bash -e {0}
2025-12-04T09:28:12.2584448Z env:
2025-12-04T09:28:12.2584677Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:12.2584970Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:12.2585222Z ##[endgroup]
2025-12-04T09:28:12.2995319Z Setting output branch=main
2025-12-04T09:28:12.3192973Z Prepare all required actions
2025-12-04T09:28:12.3193387Z Getting action download info
2025-12-04T09:28:12.4723914Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T09:28:12.4724289Z with:
2025-12-04T09:28:12.4724763Z   github-token: ***
2025-12-04T09:28:12.4734227Z   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"}]}
2025-12-04T09:28:12.4743848Z   job-name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:12.4744467Z env:
2025-12-04T09:28:12.4744697Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:12.4744972Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:12.4745235Z ##[endgroup]
2025-12-04T09:28:12.4788372Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:28:12.4788687Z with:
2025-12-04T09:28:12.4788908Z   shell: bash
2025-12-04T09:28:12.4789165Z   timeout_minutes: 10
2025-12-04T09:28:12.4789428Z   max_attempts: 5
2025-12-04T09:28:12.4789666Z   retry_wait_seconds: 30
2025-12-04T09:28:12.4790504Z   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

2025-12-04T09:28:12.4791386Z   polling_interval_seconds: 1
2025-12-04T09:28:12.4791671Z   warning_on_retry: true
2025-12-04T09:28:12.4791964Z   continue_on_error: false
2025-12-04T09:28:12.4792235Z env:
2025-12-04T09:28:12.4792443Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:12.4792725Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:12.4793164Z   GITHUB_TOKEN: ***
2025-12-04T09:28:12.4793411Z ##[endgroup]
2025-12-04T09:28:12.5940978Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T09:28:12.8392013Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:28:12.9996381Z Collecting requests==2.27.1
2025-12-04T09:28:13.0167360Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T09:28:13.2481496Z Collecting pyyaml==6.0.2
2025-12-04T09:28:13.2523218Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T09:28:13.3043215Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T09:28:13.3749959Z Collecting certifi>=2017.4.17
2025-12-04T09:28:13.3793048Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T09:28:13.4076636Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T09:28:13.8271748Z Collecting charset-normalizer~=2.0.0
2025-12-04T09:28:13.8313022Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T09:28:13.9432372Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T09:28:14.2365940Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T09:28:14.5585598Z Command completed after 1 attempt(s).
2025-12-04T09:28:14.5651589Z ##[group]Run set -x
2025-12-04T09:28:14.5651876Z set -x
2025-12-04T09:28:14.5652121Z 
2025-12-04T09:28:14.5652533Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:28:14.5653038Z # in runner workspace
2025-12-04T09:28:14.5653456Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T09:28:14.5660688Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:14.5661099Z env:
2025-12-04T09:28:14.5661326Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:14.5661616Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:14.5661886Z ##[endgroup]
2025-12-04T09:28:14.5690521Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T09:28:14.5883494Z Setting output branch=main
2025-12-04T09:28:14.5996096Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:28:14.5996554Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:28:14.5996909Z echo "Job name: ${JOB_NAME}"
2025-12-04T09:28:14.5997227Z 
2025-12-04T09:28:14.5997631Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:28:14.5998129Z # in runner workspace
2025-12-04T09:28:14.5998584Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T09:28:14.5999129Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T09:28:14.5999652Z   --job-name "${JOB_NAME}" \
2025-12-04T09:28:14.6007651Z   --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"}]}" \
2025-12-04T09:28:14.6015567Z   --selected-test-configs "" \
2025-12-04T09:28:14.6015938Z   --pr-number "${PR_NUMBER}" \
2025-12-04T09:28:14.6016265Z   --tag "${TAG}" \
2025-12-04T09:28:14.6016581Z   --event-name "${EVENT_NAME}" \
2025-12-04T09:28:14.6016929Z   --schedule "${SCHEDULE}" \
2025-12-04T09:28:14.6017248Z   --branch "${HEAD_BRANCH}"
2025-12-04T09:28:14.6023121Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:14.6023526Z env:
2025-12-04T09:28:14.6023887Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:14.6024162Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:14.6024779Z   GITHUB_TOKEN: ***
2025-12-04T09:28:14.6025315Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:14.6025890Z   PR_NUMBER: 
2025-12-04T09:28:14.6026125Z   TAG: 
2025-12-04T09:28:14.6026349Z   EVENT_NAME: schedule
2025-12-04T09:28:14.6026610Z   SCHEDULE: 29 8 * * *
2025-12-04T09:28:14.6026856Z   HEAD_BRANCH: main
2025-12-04T09:28:14.6027100Z ##[endgroup]
2025-12-04T09:28:14.6053434Z Workflow: periodic
2025-12-04T09:28:14.6053965Z Job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:14.8747383Z Setting output keep-going=True
2025-12-04T09:28:14.8747756Z Setting output ci-verbose-test-logs=False
2025-12-04T09:28:14.8748137Z Setting output ci-test-showlocals=False
2025-12-04T09:28:14.8748498Z Setting output ci-no-test-timeout=False
2025-12-04T09:28:14.8748856Z Setting output ci-no-td=False
2025-12-04T09:28:14.8749188Z Setting output ci-td-distributed=False
2025-12-04T09:28:14.8749540Z Setting output is-unstable=False
2025-12-04T09:28:14.8749868Z Setting output reenabled-issues=
2025-12-04T09:28:14.8767282Z 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"}]}
2025-12-04T09:28:14.8784875Z Setting output is-test-matrix-empty=False
2025-12-04T09:28:14.8915721Z ##[group]Run echo "Filtered matrix:"
2025-12-04T09:28:14.8916152Z echo "Filtered matrix:"
2025-12-04T09:28:14.8933532Z 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"}]}"
2025-12-04T09:28:14.8950973Z 
2025-12-04T09:28:14.8951196Z echo
2025-12-04T09:28:14.8951497Z echo "Is the current job unstable? False"
2025-12-04T09:28:14.8951842Z 
2025-12-04T09:28:14.8952063Z echo
2025-12-04T09:28:14.8952337Z echo "Is keep-going label set? True"
2025-12-04T09:28:14.8952666Z 
2025-12-04T09:28:14.8952886Z echo
2025-12-04T09:28:14.8953139Z echo "Reenabled issues? "
2025-12-04T09:28:14.8959319Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:14.8959727Z env:
2025-12-04T09:28:14.8959956Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:14.8960229Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:14.8960498Z ##[endgroup]
2025-12-04T09:28:14.8986653Z Filtered matrix:
2025-12-04T09:28:14.9008806Z {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}]}
2025-12-04T09:28:14.9025983Z 
2025-12-04T09:28:14.9026135Z Is the current job unstable? False
2025-12-04T09:28:14.9026353Z 
2025-12-04T09:28:14.9026466Z Is keep-going label set? True
2025-12-04T09:28:14.9026675Z 
2025-12-04T09:28:14.9026776Z Reenabled issues? 
2025-12-04T09:28:14.9093493Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:28:14.9094075Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:28:14.9099901Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:14.9100291Z env:
2025-12-04T09:28:14.9100530Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:14.9100815Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:14.9101071Z   JOB_TIMEOUT: 240
2025-12-04T09:28:14.9101316Z ##[endgroup]
2025-12-04T09:28:14.9190252Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:28:14.9190820Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:28:14.9191313Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:28:14.9196843Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:28:14.9197244Z env:
2025-12-04T09:28:14.9197479Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:14.9197781Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:14.9198038Z ##[endgroup]
2025-12-04T09:28:14.9350593Z ##[group]Run set -x
2025-12-04T09:28:14.9350965Z set -x
2025-12-04T09:28:14.9351197Z 
2025-12-04T09:28:14.9351474Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T09:28:14.9351905Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T09:28:14.9352336Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T09:28:14.9352716Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T09:28:14.9353047Z else
2025-12-04T09:28:14.9353325Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:28:14.9353645Z fi
2025-12-04T09:28:14.9353871Z 
2025-12-04T09:28:14.9354164Z # Leaving 1GB for the runner and other things
2025-12-04T09:28:14.9354777Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T09:28:14.9355725Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T09:28:14.9356491Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T09:28:14.9357051Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T09:28:14.9357502Z 
2025-12-04T09:28:14.9357790Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:28:14.9358151Z   SHM_OPTS=
2025-12-04T09:28:14.9358420Z   JENKINS_USER=
2025-12-04T09:28:14.9358799Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T09:28:14.9359302Z   # if for some reason cleanup action doesn't stop container
2025-12-04T09:28:14.9359733Z   # when job is cancelled
2025-12-04T09:28:14.9360067Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T09:28:14.9360429Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T09:28:14.9360752Z else
2025-12-04T09:28:14.9361155Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T09:28:14.9361531Z   JENKINS_USER="--user jenkins"
2025-12-04T09:28:14.9361859Z   DOCKER_SHELL_CMD=
2025-12-04T09:28:14.9362173Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T09:28:14.9362495Z fi
2025-12-04T09:28:14.9362705Z 
2025-12-04T09:28:14.9363070Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T09:28:14.9363642Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T09:28:14.9364297Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T09:28:14.9364862Z # shellcheck disable=SC2086,SC2090
2025-12-04T09:28:14.9365224Z container_name=$(docker run \
2025-12-04T09:28:14.9365558Z   ${GPU_FLAG:-} \
2025-12-04T09:28:14.9365872Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T09:28:14.9366243Z   -e BUILD_ENVIRONMENT \
2025-12-04T09:28:14.9366566Z   -e PR_NUMBER \
2025-12-04T09:28:14.9366862Z   -e GITHUB_ACTIONS \
2025-12-04T09:28:14.9367168Z   -e GITHUB_REPOSITORY \
2025-12-04T09:28:14.9367494Z   -e GITHUB_WORKFLOW \
2025-12-04T09:28:14.9367804Z   -e GITHUB_JOB \
2025-12-04T09:28:14.9368081Z   -e GITHUB_RUN_ID \
2025-12-04T09:28:14.9368382Z   -e GITHUB_RUN_NUMBER \
2025-12-04T09:28:14.9368825Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T09:28:14.9369124Z   -e JOB_ID \
2025-12-04T09:28:14.9369394Z   -e JOB_NAME \
2025-12-04T09:28:14.9369674Z   -e BASE_SHA \
2025-12-04T09:28:14.9369949Z   -e BRANCH \
2025-12-04T09:28:14.9370205Z   -e SHA1 \
2025-12-04T09:28:14.9370478Z   -e AWS_DEFAULT_REGION \
2025-12-04T09:28:14.9370796Z   -e IN_WHEEL_TEST \
2025-12-04T09:28:14.9371083Z   -e SHARD_NUMBER \
2025-12-04T09:28:14.9371380Z   -e TEST_CONFIG \
2025-12-04T09:28:14.9371681Z   -e NUM_TEST_SHARDS \
2025-12-04T09:28:14.9372091Z   -e REENABLED_ISSUES \
2025-12-04T09:28:14.9372425Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T09:28:14.9372769Z   -e VERBOSE_TEST_LOGS \
2025-12-04T09:28:14.9373075Z   -e TEST_SHOWLOCALS \
2025-12-04T09:28:14.9373384Z   -e NO_TEST_TIMEOUT \
2025-12-04T09:28:14.9373681Z   -e NO_TD \
2025-12-04T09:28:14.9373956Z   -e TD_DISTRIBUTED \
2025-12-04T09:28:14.9374245Z   -e PR_LABELS \
2025-12-04T09:28:14.9374564Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T09:28:14.9374919Z   -e SCCACHE_BUCKET \
2025-12-04T09:28:14.9375208Z   -e SCCACHE_REGION \
2025-12-04T09:28:14.9375505Z   -e XLA_CUDA \
2025-12-04T09:28:14.9375818Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T09:28:14.9376194Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T09:28:14.9376599Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T09:28:14.9377009Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T09:28:14.9377380Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T09:28:14.9377725Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T09:28:14.9378094Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T09:28:14.9378443Z   -e DASHBOARD_TAG \
2025-12-04T09:28:14.9378741Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T09:28:14.9379132Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T09:28:14.9379582Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T09:28:14.9380026Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:28:14.9380435Z   --security-opt seccomp=unconfined \
2025-12-04T09:28:14.9380802Z   --cap-add=SYS_PTRACE \
2025-12-04T09:28:14.9381120Z   --ipc=host \
2025-12-04T09:28:14.9381382Z   ${SHM_OPTS} \
2025-12-04T09:28:14.9381764Z   --tty \
2025-12-04T09:28:14.9382030Z   --detach \
2025-12-04T09:28:14.9382307Z   --name="${container_name}" \
2025-12-04T09:28:14.9382645Z   ${JENKINS_USER} \
2025-12-04T09:28:14.9383022Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T09:28:14.9383453Z   -w /var/lib/jenkins/workspace \
2025-12-04T09:28:14.9383784Z   "${USED_IMAGE}" \
2025-12-04T09:28:14.9384077Z   ${DOCKER_SHELL_CMD}
2025-12-04T09:28:14.9384364Z )
2025-12-04T09:28:14.9384713Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T09:28:14.9385155Z 
2025-12-04T09:28:14.9385438Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:28:14.9386049Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T09:28:14.9386604Z fi
2025-12-04T09:28:14.9386825Z 
2025-12-04T09:28:14.9387365Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T09:28:14.9393058Z shell: /usr/bin/bash -e {0}
2025-12-04T09:28:14.9393346Z env:
2025-12-04T09:28:14.9393574Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:28:14.9393852Z   HAS_NVIDIA_GPU: false
2025-12-04T09:28:14.9394200Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:14.9394584Z   PR_NUMBER: 
2025-12-04T09:28:14.9394859Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T09:28:14.9395240Z   GITHUB_WORKFLOW: periodic
2025-12-04T09:28:14.9395544Z   GITHUB_JOB: test
2025-12-04T09:28:14.9395807Z   GITHUB_RUN_ID: 19922826259
2025-12-04T09:28:14.9396260Z   GITHUB_RUN_NUMBER: 19107
2025-12-04T09:28:14.9396702Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T09:28:14.9397105Z   JOB_ID: 57118431093
2025-12-04T09:28:14.9397635Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:14.9398230Z   BRANCH: main
2025-12-04T09:28:14.9398527Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:14.9399058Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:14.9399441Z   TEST_CONFIG: nogpu_NO_AVX2
2025-12-04T09:28:14.9399735Z   SHARD_NUMBER: 1
2025-12-04T09:28:14.9399972Z   NUM_TEST_SHARDS: 2
2025-12-04T09:28:14.9400232Z   EXTRA_FLAGS: 
2025-12-04T09:28:14.9400483Z   OP_BENCHMARK_TESTS: 
2025-12-04T09:28:14.9400741Z   REENABLED_ISSUES: 
2025-12-04T09:28:14.9401013Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T09:28:14.9401308Z   VERBOSE_TEST_LOGS: False
2025-12-04T09:28:14.9401590Z   TEST_SHOWLOCALS: False
2025-12-04T09:28:14.9401855Z   NO_TEST_TIMEOUT: False
2025-12-04T09:28:14.9402120Z   NO_TD: False
2025-12-04T09:28:14.9402359Z   TD_DISTRIBUTED: False
2025-12-04T09:28:14.9402678Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T09:28:14.9403061Z   SCCACHE_REGION: us-east-1
2025-12-04T09:28:14.9403340Z   SHM_SIZE: 1g
2025-12-04T09:28:14.9404157Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:28:14.9405655Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:28:14.9406560Z   XLA_CUDA: 
2025-12-04T09:28:14.9406940Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:14.9407708Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T09:28:14.9408053Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 1
2025-12-04T09:28:14.9408374Z   DASHBOARD_TAG: 
2025-12-04T09:28:14.9408935Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T09:28:14.9409365Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T09:28:14.9409807Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T09:28:14.9410256Z   ARTIFACTS_FILE_SUFFIX: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T09:28:14.9410715Z ##[endgroup]
2025-12-04T09:28:14.9435140Z + [[ nogpu_NO_AVX2 == \m\u\l\t\i\g\p\u ]]
2025-12-04T09:28:14.9435560Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *onnx* ]]
2025-12-04T09:28:14.9435941Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:28:14.9438562Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T09:28:14.9460992Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.422 '
2025-12-04T09:28:14.9461346Z + TOTAL_MEMORY_WITH_SWAP=32
2025-12-04T09:28:14.9461703Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-12-04T09:28:14.9462105Z + SHM_OPTS=--shm-size=1g
2025-12-04T09:28:14.9462397Z + JENKINS_USER='--user jenkins'
2025-12-04T09:28:14.9462726Z + DOCKER_SHELL_CMD=
2025-12-04T09:28:14.9463557Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:28:14.9470308Z +++ nproc --ignore=2
2025-12-04T09:28:14.9562478Z ++ 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
2025-12-04T09:28:33.3812621Z + container_name=b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T09:28:33.3813827Z + echo DOCKER_CONTAINER_ID=b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T09:28:33.3814476Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-12-04T09:28:33.3820070Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T09:28:33.3822624Z + docker exec -t b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T09:28:33.9816173Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T09:28:34.8610019Z 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)
2025-12-04T09:28:34.8614107Z 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)
2025-12-04T09:28:34.8619078Z 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)
2025-12-04T09:28:34.8624057Z 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)
2025-12-04T09:28:34.8628065Z 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)
2025-12-04T09:28:34.8633078Z 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)
2025-12-04T09:28:34.8647215Z 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)
2025-12-04T09:28:34.9037721Z 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)
2025-12-04T09:28:34.9058150Z 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)
2025-12-04T09:28:34.9118307Z 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)
2025-12-04T09:28:35.2972480Z Installing collected packages: torch
2025-12-04T09:28:46.9961132Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T09:28:47.0937186Z + export TERM=vt100
2025-12-04T09:28:47.0937485Z + TERM=vt100
2025-12-04T09:28:47.0939853Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:28:47.1062202Z + source .ci/pytorch/common.sh
2025-12-04T09:28:47.1093053Z +++ dirname .ci/pytorch/common.sh
2025-12-04T09:28:47.1101573Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T09:28:47.1179088Z +++ declare -f -t trap_add
2025-12-04T09:28:47.1184212Z ++ set -ex -o pipefail
2025-12-04T09:28:47.1184631Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:47.1265608Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T09:28:47.1266023Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:28:47.1366683Z + source .ci/pytorch/common-build.sh
2025-12-04T09:28:47.1385740Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 != *win-* ]]
2025-12-04T09:28:47.1392198Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T09:28:47.1401290Z +++ cd .ci/pytorch
2025-12-04T09:28:47.1401633Z +++ pwd -P
2025-12-04T09:28:47.1403659Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T09:28:47.1404438Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-pch* ]]
2025-12-04T09:28:47.1404815Z ++ which sccache
2025-12-04T09:28:47.1466179Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T09:28:47.1466634Z ++ sccache --stop-server
2025-12-04T09:28:47.1649384Z ++ true
2025-12-04T09:28:47.1649683Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T09:28:47.1721007Z ++ trap_add sccache_epilogue EXIT
2025-12-04T09:28:47.1721435Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T09:28:47.1721737Z ++ shift
2025-12-04T09:28:47.1721973Z ++ for trap_add_name in "$@"
2025-12-04T09:28:47.1728021Z ++++ trap -p EXIT
2025-12-04T09:28:47.1730557Z +++ eval 'extract_trap_cmd '
2025-12-04T09:28:47.1730954Z ++++ extract_trap_cmd
2025-12-04T09:28:47.1731295Z ++++ printf '%s\n' ''
2025-12-04T09:28:47.1731581Z +++ printf '%s\n' sccache_epilogue
2025-12-04T09:28:47.1733395Z ++ trap -- '
2025-12-04T09:28:47.1733654Z sccache_epilogue' EXIT
2025-12-04T09:28:47.1734039Z ++ [[ -n 1 ]]
2025-12-04T09:28:47.1734474Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T09:28:47.1735150Z Skipping sccache server initialization, setting environment variables
2025-12-04T09:28:47.1735638Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:47.1735960Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:47.1736333Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:47.1736814Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:47.1744074Z ++ export RUST_LOG=sccache::server=error
2025-12-04T09:28:47.1744478Z ++ RUST_LOG=sccache::server=error
2025-12-04T09:28:47.1744792Z ++ sccache --zero-stats
2025-12-04T09:28:47.4359742Z Statistics zeroed.
2025-12-04T09:28:47.4363799Z ++ which ccache
2025-12-04T09:28:47.4384506Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T09:28:47.4385050Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *s390x* ]]
2025-12-04T09:28:47.4385446Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T09:28:47.4388475Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T09:28:47.4463600Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T09:28:47.4464191Z + trap_add cleanup_workspace EXIT
2025-12-04T09:28:47.4464542Z + trap_add_cmd=cleanup_workspace
2025-12-04T09:28:47.4464849Z + shift
2025-12-04T09:28:47.4465096Z + for trap_add_name in "$@"
2025-12-04T09:28:47.4471863Z +++ trap -p EXIT
2025-12-04T09:28:47.4474784Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T09:28:47.4475259Z sccache_epilogue'\'' EXIT'
2025-12-04T09:28:47.4475551Z +++ extract_trap_cmd trap -- '
2025-12-04T09:28:47.4475945Z sccache_epilogue' EXIT
2025-12-04T09:28:47.4476221Z +++ printf '%s\n' '
2025-12-04T09:28:47.4476462Z sccache_epilogue'
2025-12-04T09:28:47.4476823Z ++ printf '%s\n' cleanup_workspace
2025-12-04T09:28:47.4477794Z + trap -- '
2025-12-04T09:28:47.4478032Z sccache_epilogue
2025-12-04T09:28:47.4478356Z cleanup_workspace' EXIT
2025-12-04T09:28:47.4478702Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T09:28:48.1637720Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T09:28:48.1872338Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:48.1874916Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))'
2025-12-04T09:28:48.6169356Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:48.6170051Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']'
2025-12-04T09:28:48.6175940Z +++ realpath .ci/pytorch/test.sh
2025-12-04T09:28:48.6208278Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh
2025-12-04T09:28:48.6218255Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch
2025-12-04T09:28:48.6218967Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:48.6219586Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace
2025-12-04T09:28:48.6220075Z + patch -p4
2025-12-04T09:28:48.6261398Z patching file cudadrv/driver.py
2025-12-04T09:28:48.6262796Z Hunk #1 succeeded at 357 (offset -8 lines).
2025-12-04T09:28:48.6272965Z + popd
2025-12-04T09:28:48.6273201Z ~/workspace
2025-12-04T09:28:48.6273459Z + echo 'Environment variables:'
2025-12-04T09:28:48.6273763Z Environment variables:
2025-12-04T09:28:48.6274025Z + env
2025-12-04T09:28:48.6293819Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:28:48.6294407Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:28:48.6294776Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:48.6295843Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:28:48.6296168Z HOSTNAME=b387d3604d29
2025-12-04T09:28:48.6296776Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6297562Z GITHUB_ACTION=__run_3
2025-12-04T09:28:48.6297938Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:28:48.6298247Z GITHUB_RUN_NUMBER=19107
2025-12-04T09:28:48.6298588Z TEST_CONFIG=nogpu_NO_AVX2
2025-12-04T09:28:48.6298899Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:28:48.6299250Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:28:48.6299585Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:48.6299998Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:28:48.6300325Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:28:48.6300625Z GITHUB_REF_TYPE=branch
2025-12-04T09:28:48.6300933Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6301297Z XLA_CUDA=
2025-12-04T09:28:48.6301541Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:28:48.6301976Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:28:48.6302542Z ***
2025-12-04T09:28:48.6302775Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:28:48.6303143Z GITHUB_ACTIONS=true
2025-12-04T09:28:48.6303469Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:48.6303889Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6304298Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6305061Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main
2025-12-04T09:28:48.6305578Z UCC_HOME=/usr
2025-12-04T09:28:48.6305822Z VERBOSE_TEST_LOGS=False
2025-12-04T09:28:48.6306101Z GITHUB_REF=refs/heads/main
2025-12-04T09:28:48.6306367Z SHARD_NUMBER=1
2025-12-04T09:28:48.6306618Z GITHUB_REF_PROTECTED=true
2025-12-04T09:28:48.6306899Z HOME=/var/lib/jenkins
2025-12-04T09:28:48.6307477Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:28:48.6307837Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:28:48.6308209Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:28:48.6308562Z USE_SYSTEM_NCCL=1
2025-12-04T09:28:48.6308812Z NUM_TEST_SHARDS=2
2025-12-04T09:28:48.6309057Z UCX_HOME=/usr
2025-12-04T09:28:48.6309652Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6310611Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:48.6311553Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6312415Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:28:48.6312951Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:28:48.6313222Z DASHBOARD_TAG=
2025-12-04T09:28:48.6313467Z GITHUB_RUN_ID=19922826259
2025-12-04T09:28:48.6313750Z INSTALLED_OPENBLAS=
2025-12-04T09:28:48.6314388Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6315100Z GITHUB_ACTOR=huydhn
2025-12-04T09:28:48.6315344Z PR_NUMBER=
2025-12-04T09:28:48.6315571Z DESIRED_CUDA=12.8.1
2025-12-04T09:28:48.6315814Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:28:48.6316087Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:28:48.6316444Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:28:48.6316807Z TERM=vt100
2025-12-04T09:28:48.6317035Z INSTALLED_VISION=yes
2025-12-04T09:28:48.6317419Z BRANCH=main
2025-12-04T09:28:48.6317651Z SCCACHE_REGION=us-east-1
2025-12-04T09:28:48.6317945Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:28:48.6318247Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:28:48.6318516Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:28:48.6319070Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:28:48.6319691Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:28:48.6320055Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:28:48.6320416Z REENABLED_ISSUES=
2025-12-04T09:28:48.6320654Z DOCS=
2025-12-04T09:28:48.6320851Z SHLVL=1
2025-12-04T09:28:48.6321059Z MAX_JOBS=14
2025-12-04T09:28:48.6321290Z GITHUB_ACTOR_ID=475357
2025-12-04T09:28:48.6321649Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6322047Z GITHUB_REF_NAME=main
2025-12-04T09:28:48.6322450Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:48.6322910Z GITHUB_JOB=test
2025-12-04T09:28:48.6323148Z NO_TEST_TIMEOUT=False
2025-12-04T09:28:48.6323418Z TD_DISTRIBUTED=False
2025-12-04T09:28:48.6323708Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:28:48.6324019Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:28:48.6324302Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:28:48.6324586Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:28:48.6325404Z 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
2025-12-04T09:28:48.6326256Z GITHUB_BASE_REF=
2025-12-04T09:28:48.6326501Z INSTALLED_ACL=
2025-12-04T09:28:48.6326866Z ARTIFACTS_FILE_SUFFIX=test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T09:28:48.6327310Z CI=true
2025-12-04T09:28:48.6327547Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:28:48.6327893Z RUST_LOG=sccache::server=error
2025-12-04T09:28:48.6328170Z JOB_ID=57118431093
2025-12-04T09:28:48.6328632Z GITHUB_HEAD_REF=
2025-12-04T09:28:48.6328890Z GITHUB_ACTION_REF=
2025-12-04T09:28:48.6329195Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:28:48.6329580Z TEST_SHOWLOCALS=False
2025-12-04T09:28:48.6329859Z GITHUB_WORKFLOW=periodic
2025-12-04T09:28:48.6330144Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:28:48.6330811Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6331489Z NO_TD=False
2025-12-04T09:28:48.6331722Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:28:48.6332049Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:28:48.6332381Z _=/usr/bin/env
2025-12-04T09:28:48.6332747Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:48.6333316Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T09:28:48.6437518Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T09:28:48.6438216Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T09:28:48.6438878Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T09:28:48.6439646Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T09:28:48.6440300Z + BUILD_DIR=build
2025-12-04T09:28:48.6440565Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T09:28:48.6440954Z + BUILD_BIN_DIR=build/bin
2025-12-04T09:28:48.6441240Z + SHARD_NUMBER=1
2025-12-04T09:28:48.6441482Z + NUM_TEST_SHARDS=2
2025-12-04T09:28:48.6441746Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:48.6442077Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:48.6442384Z + export VALGRIND=ON
2025-12-04T09:28:48.6442627Z + VALGRIND=ON
2025-12-04T09:28:48.6442926Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *clang9* ]]
2025-12-04T09:28:48.6443349Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T09:28:48.6443696Z + detect_cuda_arch
2025-12-04T09:28:48.6443992Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:48.6444374Z + command -v nvidia-smi
2025-12-04T09:28:48.6444871Z + [[ nogpu_NO_AVX2 == *nogpu* ]]
2025-12-04T09:28:48.6445182Z + TORCH_CUDA_ARCH_LIST=8.0
2025-12-04T09:28:48.6445562Z + export TORCH_CUDA_ARCH_LIST
2025-12-04T09:28:48.6445919Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]]
2025-12-04T09:28:48.6446261Z + [[ 1 == \1 ]]
2025-12-04T09:28:48.6446496Z + ulimit -c 0
2025-12-04T09:28:48.6446788Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *bazel* ]]
2025-12-04T09:28:48.6447175Z ++ realpath build/custom_test_artifacts
2025-12-04T09:28:48.6466210Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T09:28:48.6466737Z + [[ -n '' ]]
2025-12-04T09:28:48.6466996Z + echo 'Environment variables'
2025-12-04T09:28:48.6467289Z Environment variables
2025-12-04T09:28:48.6467543Z + env
2025-12-04T09:28:48.6486971Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:28:48.6487773Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:28:48.6488231Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:48.6489211Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:28:48.6489644Z HOSTNAME=b387d3604d29
2025-12-04T09:28:48.6490459Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6491262Z GITHUB_ACTION=__run_3
2025-12-04T09:28:48.6491549Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:28:48.6491857Z GITHUB_RUN_NUMBER=19107
2025-12-04T09:28:48.6492211Z TEST_CONFIG=nogpu_NO_AVX2
2025-12-04T09:28:48.6492638Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:28:48.6493021Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:28:48.6493349Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:48.6493779Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:28:48.6494093Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:28:48.6494393Z GITHUB_REF_TYPE=branch
2025-12-04T09:28:48.6494650Z TORCH_CUDA_ARCH_LIST=8.0
2025-12-04T09:28:48.6495129Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6495487Z XLA_CUDA=
2025-12-04T09:28:48.6495723Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:28:48.6496313Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:28:48.6496649Z ***
2025-12-04T09:28:48.6496878Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:28:48.6497158Z GITHUB_ACTIONS=true
2025-12-04T09:28:48.6497474Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:48.6497894Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6498285Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6498849Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main
2025-12-04T09:28:48.6499360Z UCC_HOME=/usr
2025-12-04T09:28:48.6499595Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:48.6499885Z VERBOSE_TEST_LOGS=False
2025-12-04T09:28:48.6500158Z GITHUB_REF=refs/heads/main
2025-12-04T09:28:48.6500428Z SHARD_NUMBER=1
2025-12-04T09:28:48.6500680Z GITHUB_REF_PROTECTED=true
2025-12-04T09:28:48.6500962Z HOME=/var/lib/jenkins
2025-12-04T09:28:48.6501247Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:28:48.6501603Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:28:48.6501968Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:28:48.6502326Z USE_SYSTEM_NCCL=1
2025-12-04T09:28:48.6502558Z NUM_TEST_SHARDS=2
2025-12-04T09:28:48.6502800Z UCX_HOME=/usr
2025-12-04T09:28:48.6503401Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6504336Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:48.6505261Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6506120Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:28:48.6506655Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:28:48.6506930Z DASHBOARD_TAG=
2025-12-04T09:28:48.6507453Z GITHUB_RUN_ID=19922826259
2025-12-04T09:28:48.6507866Z INSTALLED_OPENBLAS=
2025-12-04T09:28:48.6508511Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6509237Z GITHUB_ACTOR=huydhn
2025-12-04T09:28:48.6509493Z PR_NUMBER=
2025-12-04T09:28:48.6509711Z DESIRED_CUDA=12.8.1
2025-12-04T09:28:48.6509970Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:28:48.6510229Z VALGRIND=ON
2025-12-04T09:28:48.6510458Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:28:48.6510815Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:28:48.6511181Z TERM=vt100
2025-12-04T09:28:48.6511400Z INSTALLED_VISION=yes
2025-12-04T09:28:48.6511655Z BRANCH=main
2025-12-04T09:28:48.6511886Z SCCACHE_REGION=us-east-1
2025-12-04T09:28:48.6512160Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:28:48.6512460Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:28:48.6512741Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:28:48.6513298Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:28:48.6513903Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:28:48.6514279Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:28:48.6514641Z REENABLED_ISSUES=
2025-12-04T09:28:48.6514866Z DOCS=
2025-12-04T09:28:48.6515074Z SHLVL=1
2025-12-04T09:28:48.6515286Z MAX_JOBS=14
2025-12-04T09:28:48.6515503Z GITHUB_ACTOR_ID=475357
2025-12-04T09:28:48.6515863Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:48.6516274Z GITHUB_REF_NAME=main
2025-12-04T09:28:48.6516679Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:48.6517116Z GITHUB_JOB=test
2025-12-04T09:28:48.6517359Z NO_TEST_TIMEOUT=False
2025-12-04T09:28:48.6517625Z TD_DISTRIBUTED=False
2025-12-04T09:28:48.6517896Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:28:48.6518217Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:28:48.6518500Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:28:48.6518884Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:28:48.6519720Z 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
2025-12-04T09:28:48.6520577Z GITHUB_BASE_REF=
2025-12-04T09:28:48.6520822Z INSTALLED_ACL=
2025-12-04T09:28:48.6521192Z ARTIFACTS_FILE_SUFFIX=test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T09:28:48.6521638Z CI=true
2025-12-04T09:28:48.6521873Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:28:48.6522199Z RUST_LOG=sccache::server=error
2025-12-04T09:28:48.6522488Z JOB_ID=57118431093
2025-12-04T09:28:48.6522730Z GITHUB_HEAD_REF=
2025-12-04T09:28:48.6522965Z GITHUB_ACTION_REF=
2025-12-04T09:28:48.6523273Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:28:48.6523646Z TEST_SHOWLOCALS=False
2025-12-04T09:28:48.6523907Z GITHUB_WORKFLOW=periodic
2025-12-04T09:28:48.6524201Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:28:48.6524875Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_440f2e29-9e2a-48ba-8c3c-650fd1a485cc
2025-12-04T09:28:48.6525554Z NO_TD=False
2025-12-04T09:28:48.6525786Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:28:48.6526111Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:28:48.6526581Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:48.6527047Z _=/usr/bin/env
2025-12-04T09:28:48.6527309Z + echo 'Testing pytorch'
2025-12-04T09:28:48.6527587Z Testing pytorch
2025-12-04T09:28:48.6527835Z + export LANG=C.UTF-8
2025-12-04T09:28:48.6528098Z + LANG=C.UTF-8
2025-12-04T09:28:48.6542819Z + PR_NUMBER=
2025-12-04T09:28:48.6543075Z + [[ nogpu_NO_AVX2 == \d\e\f\a\u\l\t ]]
2025-12-04T09:28:48.6543432Z + [[ nogpu_NO_AVX2 == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T09:28:48.6543788Z + [[ nogpu_NO_AVX2 == \s\l\o\w ]]
2025-12-04T09:28:48.6544234Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-12-04T09:28:48.6544699Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:48.6545216Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:28:48.6545592Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:28:48.6545928Z + [[ nogpu_NO_AVX2 == *crossref* ]]
2025-12-04T09:28:48.6546288Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:48.6546696Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T09:28:48.6547102Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-12-04T09:28:48.6547484Z + pip_install ninja==1.10.2
2025-12-04T09:28:48.6547871Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T09:28:48.6548366Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T09:28:49.0784532Z Collecting ninja==1.10.2
2025-12-04T09:28:49.1017719Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T09:28:49.1119306Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T09:28:49.4977826Z Installing collected packages: ninja
2025-12-04T09:28:49.4978547Z   Attempting uninstall: ninja
2025-12-04T09:28:49.4987017Z     Found existing installation: ninja 1.11.1.4
2025-12-04T09:28:49.5008785Z     Uninstalling ninja-1.11.1.4:
2025-12-04T09:28:49.5068981Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T09:28:49.5416626Z Successfully installed ninja-1.10.2
2025-12-04T09:28:49.6018480Z + 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
2025-12-04T09:28:49.6020198Z + 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
2025-12-04T09:28:49.6021414Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-12-04T09:28:49.6021905Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-12-04T09:28:49.6022693Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-debug* ]]
2025-12-04T09:28:49.6023139Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-12-04T09:28:49.6023736Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass'
2025-12-04T09:28:49.6024461Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass
2025-12-04T09:28:49.6024984Z + cd test
2025-12-04T09:28:49.6025363Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T09:28:52.4820315Z + [[ nogpu_NO_AVX2 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T09:28:52.4820771Z + export ATEN_CPU_CAPABILITY=default
2025-12-04T09:28:52.4821116Z + ATEN_CPU_CAPABILITY=default
2025-12-04T09:28:52.4821493Z + [[ nogpu_NO_AVX2 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T09:28:52.4825323Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T09:28:52.4826225Z + [[ nogpu_NO_AVX2 == *pr_time_benchmarks* ]]
2025-12-04T09:28:52.4826593Z + [[ nogpu_NO_AVX2 == *dynamo_eager* ]]
2025-12-04T09:28:52.4826968Z + [[ nogpu_NO_AVX2 == *aot_eager* ]]
2025-12-04T09:28:52.4827300Z + [[ nogpu_NO_AVX2 == *aot_inductor* ]]
2025-12-04T09:28:52.4827654Z + [[ nogpu_NO_AVX2 == *max_autotune_inductor* ]]
2025-12-04T09:28:52.4828014Z + [[ nogpu_NO_AVX2 == *inductor* ]]
2025-12-04T09:28:52.4828324Z + [[ nogpu_NO_AVX2 == *dynamic* ]]
2025-12-04T09:28:52.4828638Z + [[ nogpu_NO_AVX2 == *cpu* ]]
2025-12-04T09:28:52.4828935Z + [[ nogpu_NO_AVX2 == *xpu* ]]
2025-12-04T09:28:52.4829254Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T09:28:52.4860907Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-12-04T09:28:52.4861358Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-bazel-* ]]
2025-12-04T09:28:52.4864869Z + cd test
2025-12-04T09:28:52.4865606Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T09:28:53.8655268Z PyTorch built with:
2025-12-04T09:28:53.8655600Z   - GCC 11.4
2025-12-04T09:28:53.8655834Z   - C++ Version: 201703
2025-12-04T09:28:53.8656710Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:28:53.8657498Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:28:53.8657975Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:28:53.8658328Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T09:28:53.8658686Z   - NNPACK is enabled
2025-12-04T09:28:53.8658971Z   - CPU capability usage: DEFAULT
2025-12-04T09:28:53.8664102Z   - 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, 
2025-12-04T09:28:53.8669340Z 
2025-12-04T09:28:54.1618815Z + cd test
2025-12-04T09:28:54.1619255Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T09:28:55.5376279Z ATen/Parallel:
2025-12-04T09:28:55.5376638Z 	at::get_num_threads() : 8
2025-12-04T09:28:55.5376955Z 	at::get_num_interop_threads() : 8
2025-12-04T09:28:55.5377594Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:28:55.5377928Z 	omp_get_max_threads() : 8
2025-12-04T09:28:55.5378532Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:28:55.5379155Z 	mkl_get_max_threads() : 8
2025-12-04T09:28:55.5379565Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:28:55.5380048Z std::thread::hardware_concurrency() : 16
2025-12-04T09:28:55.5380382Z Environment variables:
2025-12-04T09:28:55.5380665Z 	OMP_NUM_THREADS : [not set]
2025-12-04T09:28:55.5380955Z 	MKL_NUM_THREADS : [not set]
2025-12-04T09:28:55.5381241Z ATen parallel backend: OpenMP
2025-12-04T09:28:55.5381448Z 
2025-12-04T09:28:55.8309848Z + [[ nogpu_NO_AVX2 == *numpy_2* ]]
2025-12-04T09:28:55.8310678Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-12-04T09:28:55.8311355Z + [[ nogpu_NO_AVX2 == *backward* ]]
2025-12-04T09:28:55.8312022Z + [[ nogpu_NO_AVX2 == *libtorch_agnostic_targetting* ]]
2025-12-04T09:28:55.8312663Z + [[ nogpu_NO_AVX2 == *xla* ]]
2025-12-04T09:28:55.8313117Z + [[ nogpu_NO_AVX2 == *vllm* ]]
2025-12-04T09:28:55.8313592Z + [[ nogpu_NO_AVX2 == *executorch* ]]
2025-12-04T09:28:55.8314111Z + [[ nogpu_NO_AVX2 == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T09:28:55.8314760Z + [[ nogpu_NO_AVX2 == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T09:28:55.8315469Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-12-04T09:28:55.8315877Z + [[ nogpu_NO_AVX2 == distributed ]]
2025-12-04T09:28:55.8316226Z + [[ nogpu_NO_AVX2 == *operator_benchmark* ]]
2025-12-04T09:28:55.8316614Z + [[ nogpu_NO_AVX2 == *operator_microbenchmark* ]]
2025-12-04T09:28:55.8317007Z + [[ nogpu_NO_AVX2 == *attention_microbenchmark* ]]
2025-12-04T09:28:55.8317405Z + [[ nogpu_NO_AVX2 == *inductor_distributed* ]]
2025-12-04T09:28:55.8317777Z + [[ nogpu_NO_AVX2 == *inductor-halide* ]]
2025-12-04T09:28:55.8318119Z + [[ nogpu_NO_AVX2 == *inductor-pallas* ]]
2025-12-04T09:28:55.8318485Z + [[ nogpu_NO_AVX2 == *inductor-triton-cpu* ]]
2025-12-04T09:28:55.8319162Z + [[ nogpu_NO_AVX2 == *inductor-micro-benchmark* ]]
2025-12-04T09:28:55.8319598Z + [[ nogpu_NO_AVX2 == *aoti_cross_compile_for_windows* ]]
2025-12-04T09:28:55.8319985Z + [[ nogpu_NO_AVX2 == *huggingface* ]]
2025-12-04T09:28:55.8320321Z + [[ nogpu_NO_AVX2 == *timm* ]]
2025-12-04T09:28:55.8320637Z + [[ nogpu_NO_AVX2 == cachebench ]]
2025-12-04T09:28:55.8320961Z + [[ nogpu_NO_AVX2 == verify_cachebench ]]
2025-12-04T09:28:55.8321306Z + [[ nogpu_NO_AVX2 == *torchbench* ]]
2025-12-04T09:28:55.8321660Z + [[ nogpu_NO_AVX2 == *inductor_cpp_wrapper* ]]
2025-12-04T09:28:55.8322012Z + [[ nogpu_NO_AVX2 == *inductor_core* ]]
2025-12-04T09:28:55.8322349Z + [[ nogpu_NO_AVX2 == *inductor* ]]
2025-12-04T09:28:55.8322666Z + [[ nogpu_NO_AVX2 == *einops* ]]
2025-12-04T09:28:55.8322966Z + [[ nogpu_NO_AVX2 == *dynamo_core* ]]
2025-12-04T09:28:55.8323300Z + [[ nogpu_NO_AVX2 == *dynamo_wrapped* ]]
2025-12-04T09:28:55.8323676Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:55.8324032Z + [[ 1 == 1 ]]
2025-12-04T09:28:55.8324265Z + [[ 2 -gt 1 ]]
2025-12-04T09:28:55.8324538Z + test_lazy_tensor_meta_reference_disabled
2025-12-04T09:28:55.8324957Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:28:55.8325401Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:28:55.8325865Z + echo 'Testing lazy tensor operations without meta reference'
2025-12-04T09:28:55.8326346Z Testing lazy tensor operations without meta reference
2025-12-04T09:28:55.8326841Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-12-04T09:28:57.5095514Z W1204 09:28:57.508000 170 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:29:00.9156671Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:29:00.9599427Z Ignoring disabled issues:  ['']
2025-12-04T09:29:00.9702016Z Found test times from artifacts
2025-12-04T09:29:01.0102992Z Found test times from artifacts
2025-12-04T09:29:01.0116984Z Running all tests
2025-12-04T09:29:01.0120227Z Running parallel tests on 3 processes
2025-12-04T09:29:01.0120569Z Name: tests to run (est. time: 0.01min)
2025-12-04T09:29:01.0120909Z   Serial tests (0):
2025-12-04T09:29:01.0121165Z   Parallel tests (1):
2025-12-04T09:29:01.0121429Z     lazy/test_ts_opinfo 1/1
2025-12-04T09:29:01.0121732Z Name: excluded (est. time: 0.0min)
2025-12-04T09:29:01.0122198Z   Serial tests (0):
2025-12-04T09:29:01.0122442Z   Parallel tests (0):
2025-12-04T09:29:01.0123918Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:29:01.012174][1000.711462345]
2025-12-04T09:29:01.0124408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:01.0128566Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:01.012556]
2025-12-04T09:29:05.6527217Z 
2025-12-04T09:29:05.6528413Z 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_1cb5b0e037744b2d_.log
2025-12-04T09:29:05.6529829Z Running 0 items in this shard:
2025-12-04T09:29:05.6530032Z 
2025-12-04T09:29:05.6530330Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:29:05.652679][1005.351962673], took 0.08min
2025-12-04T09:29:05.6536373Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-e98f794b7a072b04.xml
2025-12-04T09:29:06.0466542Z Uploading artifacts took 0.11 seconds
2025-12-04T09:29:07.7913627Z W1204 09:29:07.790000 227 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:29:07.8111874Z W1204 09:29:07.810000 228 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:29:07.8352394Z W1204 09:29:07.834000 226 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:29:09.1252334Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:29:09.124791][1008.824077464]
2025-12-04T09:29:09.1252985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:29:09.1255168Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:09.125208]
2025-12-04T09:29:13.7002633Z 
2025-12-04T09:29:13.7003925Z 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_c9752427dd79408b_.log
2025-12-04T09:29:13.7004861Z Running 0 items in this shard:
2025-12-04T09:29:13.7005087Z 
2025-12-04T09:29:13.7005495Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:29:13.700162][1013.399447534], took 0.08min
2025-12-04T09:29:13.7014772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-96b9493f43ed6b92.xml
2025-12-04T09:29:14.5466994Z Running test batch 'tests to run' cost 13.53 seconds
2025-12-04T09:29:15.2272464Z 
2025-12-04T09:29:15.2273051Z real	0m19.396s
2025-12-04T09:29:15.2273370Z user	0m27.907s
2025-12-04T09:29:15.2273614Z sys	0m6.932s
2025-12-04T09:29:15.2273979Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-12-04T09:29:15.2274388Z + test_without_numpy
2025-12-04T09:29:15.2278073Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:29:15.2291706Z + pushd .ci/pytorch
2025-12-04T09:29:15.2292017Z ~/workspace/.ci/pytorch ~/workspace
2025-12-04T09:29:15.2292913Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())'
2025-12-04T09:29:16.0869046Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.)
2025-12-04T09:29:16.0870587Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:29:16.8197609Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-12-04T09:29:17.6523828Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.)
2025-12-04T09:29:17.6525409Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:29:18.1076090Z tensor([0., 1.])
2025-12-04T09:29:18.3841765Z + [[ nogpu_NO_AVX2 == *dynamo_wrapped* ]]
2025-12-04T09:29:18.3842354Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-12-04T09:29:19.2252330Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.)
2025-12-04T09:29:19.2253837Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:29:19.9839779Z + popd
2025-12-04T09:29:19.9840060Z ~/workspace
2025-12-04T09:29:19.9840302Z + install_torchvision
2025-12-04T09:29:19.9840585Z + local orig_preload
2025-12-04T09:29:19.9840842Z + local commit
2025-12-04T09:29:19.9844781Z ++ get_pinned_commit vision
2025-12-04T09:29:19.9845135Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T09:29:19.9878645Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:19.9879095Z + orig_preload=
2025-12-04T09:29:19.9879349Z + '[' -n '' ']'
2025-12-04T09:29:19.9879641Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:29:19.9880022Z + export FORCE_CUDA=1
2025-12-04T09:29:19.9880288Z + FORCE_CUDA=1
2025-12-04T09:29:19.9880520Z + export WITH_CUDA=1
2025-12-04T09:29:19.9880781Z + WITH_CUDA=1
2025-12-04T09:29:19.9881384Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T09:29:19.9882315Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:19.9894433Z + local wheel_dir=dist/vision
2025-12-04T09:29:19.9894772Z + local found_whl=0
2025-12-04T09:29:19.9895035Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:29:19.9895367Z + [[ -f dist/vision/*.whl ]]
2025-12-04T09:29:19.9895669Z + '[' 0 == 0 ']'
2025-12-04T09:29:19.9896401Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:20.3212905Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:20.3217734Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-lja9am9f
2025-12-04T09:29:20.3396293Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-lja9am9f
2025-12-04T09:29:22.1536790Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T09:29:22.1561352Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:22.2912445Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:24.2789278Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:29:24.2789948Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T09:30:52.2157686Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done
2025-12-04T09:30:52.2197277Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786093 sha256=b68afc677a81fa9b75a8d5aa73ed5359815c33c48d0c0e5283f503d2a3a49518
2025-12-04T09:30:52.2198619Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T09:30:52.2240758Z Successfully built torchvision
2025-12-04T09:30:52.3093346Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:30:52.3093933Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:52.3097900Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T09:30:52.3098424Z + local args
2025-12-04T09:30:52.3098865Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T09:30:52.3099395Z + for path in "${args[@]}"
2025-12-04T09:30:52.3099889Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T09:30:52.3100623Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:52.3101472Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:52.6465628Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:52.6588589Z Installing collected packages: torchvision
2025-12-04T09:30:53.1317268Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T09:30:53.1715256Z + '[' -n '' ']'
2025-12-04T09:30:53.1715603Z + test_python_shard 1
2025-12-04T09:30:53.1715870Z + [[ -z 2 ]]
2025-12-04T09:30:53.1716972Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 2 --verbose --upload-artifacts-while-running
2025-12-04T09:30:54.8711128Z W1204 09:30:54.870000 1827 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:30:58.4158887Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:30:58.4268250Z Found test times from artifacts
2025-12-04T09:30:58.4677475Z Found test times from artifacts
2025-12-04T09:30:58.4692345Z Running all tests
2025-12-04T09:30:58.5147612Z Running parallel tests on 3 processes
2025-12-04T09:30:58.5168005Z Name: tests to run (est. time: 45.33min)
2025-12-04T09:30:58.5168805Z   Serial tests (47):
2025-12-04T09:30:58.5169331Z     inductor/test_flex_attention 1/1
2025-12-04T09:30:58.5170001Z     test_privateuseone_python_backend 1/1
2025-12-04T09:30:58.5170675Z     test_ci_sanity_check_fail 1/1
2025-12-04T09:30:58.5171253Z     test_overrides 1/1
2025-12-04T09:30:58.5171760Z     inductor/test_max_autotune 1/1
2025-12-04T09:30:58.5172327Z     doctests 1/1
2025-12-04T09:30:58.5172815Z     inductor/test_cutlass_backend 1/1
2025-12-04T09:30:58.5173442Z     inductor/test_benchmark_fusion 1/1
2025-12-04T09:30:58.5174093Z     inductor/test_distributed_patterns 1/1
2025-12-04T09:30:58.5174764Z     dynamo/test_fake_distributed 1/1
2025-12-04T09:30:58.5175373Z     test_sort_and_select 1/1
2025-12-04T09:30:58.5175907Z     test_cpp_api_parity 1/1
2025-12-04T09:30:58.5176452Z     test_extension_utils 1/1
2025-12-04T09:30:58.5176986Z     test_show_pickle 1/1
2025-12-04T09:30:58.5177460Z     test_torch 1/1
2025-12-04T09:30:58.5177913Z     test_tensorexpr 1/1
2025-12-04T09:30:58.5178392Z     test_utils 1/1
2025-12-04T09:30:58.5178853Z     test_namedtuple_return_api 1/1
2025-12-04T09:30:58.5179766Z     test_fake_tensor 1/1
2025-12-04T09:30:58.5180299Z     test_multiprocessing 1/1
2025-12-04T09:30:58.5180807Z     test_fx 1/1
2025-12-04T09:30:58.5181264Z     test_autograd_fallback 1/1
2025-12-04T09:30:58.5181807Z     test_autocast 1/1
2025-12-04T09:30:58.5182285Z     test_python_dispatch 1/1
2025-12-04T09:30:58.5182824Z     test_jit_disabled 1/1
2025-12-04T09:30:58.5183356Z     test_cpp_extensions_mtia_backend 1/1
2025-12-04T09:30:58.5184024Z     functorch/test_memory_efficient_fusion 1/1
2025-12-04T09:30:58.5184707Z     test_tensor_creation_ops 1/1
2025-12-04T09:30:58.5185333Z     test_cpp_extensions_stream_and_event 1/1
2025-12-04T09:30:58.5185977Z     test_dispatch 1/1
2025-12-04T09:30:58.5186454Z     nn/test_convolution 1/1
2025-12-04T09:30:58.5187008Z     test_cpp_extensions_jit 1/1
2025-12-04T09:30:58.5187552Z     test_nn 1/1
2025-12-04T09:30:58.5188013Z     test_multiprocessing_spawn 1/1
2025-12-04T09:30:58.5188600Z     nn/test_pooling 1/1
2025-12-04T09:30:58.5189097Z     test_cuda_trace 1/1
2025-12-04T09:30:58.5189571Z     test_native_mha 1/1
2025-12-04T09:30:58.5190098Z     test_cuda_nvml_based_avail 1/1
2025-12-04T09:30:58.5190692Z     test_mobile_optimizer 1/1
2025-12-04T09:30:58.5191240Z     test_cuda_primary_ctx 1/1
2025-12-04T09:30:58.5191789Z     test_reductions 1/1
2025-12-04T09:30:58.5192298Z     test_spectral_ops 1/1
2025-12-04T09:30:58.5192854Z     distributions/test_distributions 1/1
2025-12-04T09:30:58.5193497Z     test_autoload_disable 1/1
2025-12-04T09:30:58.5194060Z     test_autoload_enable 1/1
2025-12-04T09:30:58.5194621Z     test_cpp_extensions_aot_ninja 1/1
2025-12-04T09:30:58.5195271Z     test_cpp_extensions_aot_no_ninja 1/1
2025-12-04T09:30:58.5195901Z   Parallel tests (220):
2025-12-04T09:30:58.5196428Z     inductor/test_aot_inductor 1/1
2025-12-04T09:30:58.5197031Z     inductor/test_kernel_benchmark 1/1
2025-12-04T09:30:58.5197682Z     inductor/test_pattern_matcher 1/1
2025-12-04T09:30:58.5198322Z     inductor/test_cudagraph_trees 1/1
2025-12-04T09:30:58.5198929Z     dynamo/test_logging 1/1
2025-12-04T09:30:58.5199697Z     inductor/test_cuda_select_algorithm 1/1
2025-12-04T09:30:58.5200366Z     inductor/test_flex_decoding 1/1
2025-12-04T09:30:58.5200969Z     inductor/test_native_matmul 1/1
2025-12-04T09:30:58.5201599Z     dynamo/test_regional_inductor 1/1
2025-12-04T09:30:58.5202235Z     dynamo/test_fx_graph_runnable 1/1
2025-12-04T09:30:58.5202872Z     inductor/test_aot_inductor_package 1/1
2025-12-04T09:30:58.5203533Z     inductor/test_online_softmax 1/1
2025-12-04T09:30:58.5204166Z     inductor/test_unbacked_symints 1/1
2025-12-04T09:30:58.5204800Z     inductor/test_mix_order_reduction 1/1
2025-12-04T09:30:58.5205575Z     inductor/test_cudagraph_trees_expandable_segments 1/1
2025-12-04T09:30:58.5206339Z     test_varlen_attention 1/1
2025-12-04T09:30:58.5206890Z     test_matmul_cuda 1/1
2025-12-04T09:30:58.5207711Z     higher_order_ops/test_invoke_subgraph 1/1
2025-12-04T09:30:58.5208427Z     test_decomp 1/1
2025-12-04T09:30:58.5208880Z     test_meta 1/1
2025-12-04T09:30:58.5209320Z     test_ops_jit 1/1
2025-12-04T09:30:58.5209808Z     test_nestedtensor 1/1
2025-12-04T09:30:58.5210319Z     test_linalg 1/1
2025-12-04T09:30:58.5210783Z     test_public_bindings 1/1
2025-12-04T09:30:58.5211315Z     test_ops 1/1
2025-12-04T09:30:58.5211773Z     functorch/test_dims 1/1
2025-12-04T09:30:58.5212290Z     test_sparse_csr 1/1
2025-12-04T09:30:58.5212790Z     functorch/test_ops 1/1
2025-12-04T09:30:58.5213321Z     functorch/test_vmap 1/1
2025-12-04T09:30:58.5213850Z     test_torchfuzz_repros 1/1
2025-12-04T09:30:58.5214435Z     inductor/test_group_batch_fusion 1/1
2025-12-04T09:30:58.5215082Z     dynamo/test_dynamic_shapes 1/2
2025-12-04T09:30:58.5215668Z     inductor/test_cpu_repro 1/4
2025-12-04T09:30:58.5216265Z     inductor/test_cpu_repro 4/4
2025-12-04T09:30:58.5216808Z     inductor/test_smoke 1/1
2025-12-04T09:30:58.5217348Z     dynamo/test_after_aot 1/1
2025-12-04T09:30:58.5217907Z     inductor/test_minifier 1/1
2025-12-04T09:30:58.5218478Z     inductor/test_compiled_autograd 1/2
2025-12-04T09:30:58.5219312Z     inductor/test_compiled_autograd 2/2
2025-12-04T09:30:58.5219962Z     inductor/test_custom_lowering 1/1
2025-12-04T09:30:58.5220558Z     inductor/test_perf 1/1
2025-12-04T09:30:58.5221100Z     inductor/test_fused_attention 1/1
2025-12-04T09:30:58.5221723Z     inductor/test_binary_folding 1/1
2025-12-04T09:30:58.5222358Z     inductor/test_mkldnn_pattern_matcher 1/2
2025-12-04T09:30:58.5223014Z     inductor/test_mmdecomp 1/1
2025-12-04T09:30:58.5223607Z     inductor/test_aot_inductor_arrayref 2/2
2025-12-04T09:30:58.5224278Z     inductor/test_cpu_cpp_wrapper 1/1
2025-12-04T09:30:58.5224961Z     inductor/test_torchinductor_strided_blocks 1/1
2025-12-04T09:30:58.5225668Z     inductor/test_halide 1/1
2025-12-04T09:30:58.5226221Z     inductor/test_pad_mm 1/1
2025-12-04T09:30:58.5226809Z     inductor/test_triton_extension_backend 1/1
2025-12-04T09:30:58.5227476Z     inductor/test_b2b_gemm 1/1
2025-12-04T09:30:58.5228042Z     inductor/test_ck_backend 1/1
2025-12-04T09:30:58.5228632Z     inductor/test_gpu_cpp_wrapper 1/1
2025-12-04T09:30:58.5229274Z     dynamo/test_deque_reconstruct 1/1
2025-12-04T09:30:58.5229880Z     inductor/test_utils 1/1
2025-12-04T09:30:58.5230408Z     inductor/test_indexing 1/1
2025-12-04T09:30:58.5231002Z     inductor/test_inductor_annotations 1/1
2025-12-04T09:30:58.5231663Z     inductor/test_compile_worker 1/1
2025-12-04T09:30:58.5232246Z     dynamo/test_einops 1/1
2025-12-04T09:30:58.5232808Z     inductor/test_external_callables 1/1
2025-12-04T09:30:58.5233425Z     test_testing 1/1
2025-12-04T09:30:58.5233931Z     dynamo/test_fx_passes_pre_grad 1/1
2025-12-04T09:30:58.5234555Z     export/test_strict_export_v2 1/1
2025-12-04T09:30:58.5235174Z     inductor/test_flex_flash 1/1
2025-12-04T09:30:58.5235760Z     inductor/test_segmented_tree 1/1
2025-12-04T09:30:58.5236383Z     inductor/test_kernel_optimization 1/1
2025-12-04T09:30:58.5237053Z     export/test_unflatten_training_ir 1/1
2025-12-04T09:30:58.5237700Z     inductor/test_fx_fusion 1/1
2025-12-04T09:30:58.5238258Z     inductor/test_xpu_basic 1/1
2025-12-04T09:30:58.5239090Z     dynamo/test_inline_and_install 1/1
2025-12-04T09:30:58.5239756Z     export/test_functionalized_assertions 1/1
2025-12-04T09:30:58.5240425Z     dynamo/test_base_output 1/1
2025-12-04T09:30:58.5241009Z     inductor/test_lookup_table 1/1
2025-12-04T09:30:58.5241593Z     export/test_serialize 1/1
2025-12-04T09:30:58.5242176Z     inductor/test_cutedsl_template 1/1
2025-12-04T09:30:58.5242831Z     inductor/test_inductor_scheduler 1/1
2025-12-04T09:30:58.5243462Z     export/test_export_strict 1/1
2025-12-04T09:30:58.5244039Z     dynamo/test_modules 1/1
2025-12-04T09:30:58.5244585Z     inductor/test_remote_cache 1/1
2025-12-04T09:30:58.5245209Z     inductor/test_coordinate_descent_tuner 1/1
2025-12-04T09:30:58.5245888Z     inductor/test_cudacodecache 1/1
2025-12-04T09:30:58.5246510Z     inductor/test_minifier_utils 1/1
2025-12-04T09:30:58.5247125Z     inductor/test_debug_trace 1/1
2025-12-04T09:30:58.5247703Z     dynamo/test_recompiles 1/1
2025-12-04T09:30:58.5248270Z     inductor/test_foreach 1/1
2025-12-04T09:30:58.5248945Z     export/test_tree_utils 1/1
2025-12-04T09:30:58.5249525Z     inductor/test_static_cuda_launcher 1/1
2025-12-04T09:30:58.5250172Z     export/test_dynamic_shapes 1/1
2025-12-04T09:30:58.5250757Z     dynamo/test_sdpa 1/1
2025-12-04T09:30:58.5251249Z     dynamo/test_utils 1/1
2025-12-04T09:30:58.5251804Z     inductor/test_provenance_tracing 1/1
2025-12-04T09:30:58.5252445Z     inductor/test_combo_kernels 1/1
2025-12-04T09:30:58.5253043Z     inductor/test_codegen_triton 1/1
2025-12-04T09:30:58.5253649Z     dynamo/test_frame_init 1/1
2025-12-04T09:30:58.5254223Z     inductor/test_device_assert 1/1
2025-12-04T09:30:58.5254823Z     dynamo/test_skip_non_tensor 1/1
2025-12-04T09:30:58.5255453Z     dynamo/test_skip_guard_eval_unsafe 1/1
2025-12-04T09:30:58.5256087Z     dynamo/test_interop 1/1
2025-12-04T09:30:58.5256650Z     functorch/test_eager_transforms 1/1
2025-12-04T09:30:58.5257287Z     inductor/test_control_deps 1/1
2025-12-04T09:30:58.5258004Z     inductor/test_benchmarking 1/1
2025-12-04T09:30:58.5258627Z     inductor/test_helion_kernels 1/1
2025-12-04T09:30:58.5259224Z     inductor/test_best_config 1/1
2025-12-04T09:30:58.5259800Z     export/test_tools 1/1
2025-12-04T09:30:58.5260358Z     inductor/test_compiled_optimizers 1/1
2025-12-04T09:30:58.5261032Z     inductor/test_aot_inductor_custom_ops 1/1
2025-12-04T09:30:58.5261693Z     inductor/test_profiler 1/1
2025-12-04T09:30:58.5262269Z     export/test_export_opinfo 1/1
2025-12-04T09:30:58.5262858Z     inductor/test_dependencies 1/1
2025-12-04T09:30:58.5263479Z     dynamo/test_cudagraphs 1/1
2025-12-04T09:30:58.5264072Z     inductor/test_needs_exact_strides 1/1
2025-12-04T09:30:58.5264711Z     dynamo/test_debug_utils 1/1
2025-12-04T09:30:58.5265262Z     dynamo/test_package 1/1
2025-12-04T09:30:58.5265842Z     inductor/test_efficient_conv_bn_eval 1/1
2025-12-04T09:30:58.5266501Z     inductor/test_torchbind 1/1
2025-12-04T09:30:58.5267073Z     dynamo/test_python_dispatcher 1/1
2025-12-04T09:30:58.5267682Z     export/test_swap 1/1
2025-12-04T09:30:58.5268211Z     export/test_unflatten 1/1
2025-12-04T09:30:58.5268783Z     dynamo/test_verify_correctness 1/1
2025-12-04T09:30:58.5269485Z     dynamo/test_cudagraphs_expandable_segments 1/1
2025-12-04T09:30:58.5270189Z     inductor/test_caching 1/1
2025-12-04T09:30:58.5270721Z     export/test_hop 1/1
2025-12-04T09:30:58.5271222Z     export/test_export 1/1
2025-12-04T09:30:58.5271777Z     test_model_exports_to_core_aten 1/1
2025-12-04T09:30:58.5272406Z     dynamo/test_precompile_context 1/1
2025-12-04T09:30:58.5273030Z     dynamo/test_trace_rules 1/1
2025-12-04T09:30:58.5273590Z     export/test_upgrader 1/1
2025-12-04T09:30:58.5274135Z     dynamo/test_hooks 1/1
2025-12-04T09:30:58.5274653Z     dynamo/test_reorder_logs 1/1
2025-12-04T09:30:58.5275235Z     dynamo/test_subclasses 1/1
2025-12-04T09:30:58.5275802Z     dynamo/test_exceptions 1/1
2025-12-04T09:30:58.5276348Z     dynamo/test_generator 1/1
2025-12-04T09:30:58.5276918Z     export/test_lift_unlift 1/1
2025-12-04T09:30:58.5277473Z     export/test_verifier 1/1
2025-12-04T09:30:58.5278172Z     export/test_sparse 1/2
2025-12-04T09:30:58.5278696Z     xpu/test_fusion 1/1
2025-12-04T09:30:58.5279196Z     nn/attention/test_fa4 1/1
2025-12-04T09:30:58.5279714Z     xpu/test_gemm 1/1
2025-12-04T09:30:58.5280183Z     test_complex 1/1
2025-12-04T09:30:58.5280656Z     functorch/test_ac 1/1
2025-12-04T09:30:58.5281160Z     test_numpy_interop 1/1
2025-12-04T09:30:58.5281726Z     test_functionalization_of_rng_ops 1/1
2025-12-04T09:30:58.5282369Z     test_cuda_sanitizer 1/1
2025-12-04T09:30:58.5282863Z     test_itt 1/1
2025-12-04T09:30:58.5283410Z     torch_np/numpy_tests/lib/test_function_base 1/1
2025-12-04T09:30:58.5284097Z     test_sympy_utils 1/1
2025-12-04T09:30:58.5284597Z     test_subclass 1/1
2025-12-04T09:30:58.5285075Z     test_import_stats 1/1
2025-12-04T09:30:58.5285631Z     functorch/test_vmap_registrations 1/1
2025-12-04T09:30:58.5286283Z     nn/test_parametrization 1/1
2025-12-04T09:30:58.5286834Z     test_mkldnn_fusion 1/1
2025-12-04T09:30:58.5287369Z     lazy/test_ts_opinfo 1/1
2025-12-04T09:30:58.5287900Z     test_dynamic_shapes 1/1
2025-12-04T09:30:58.5288555Z     complex_tensor/test_complex_tensor 1/1
2025-12-04T09:30:58.5289194Z     optim/test_swa_utils 1/1
2025-12-04T09:30:58.5289817Z     torch_np/numpy_tests/lib/test_histograms 1/1
2025-12-04T09:30:58.5290496Z     torch_np/test_indexing 1/1
2025-12-04T09:30:58.5291048Z     test_schema_check 1/1
2025-12-04T09:30:58.5291562Z     test_tensorboard 1/1
2025-12-04T09:30:58.5292121Z     torch_np/numpy_tests/core/test_indexing 1/1
2025-12-04T09:30:58.5292774Z     test_futures 1/1
2025-12-04T09:30:58.5293249Z     nn/test_dropout 1/1
2025-12-04T09:30:58.5293747Z     functorch/dim/test_split 1/1
2025-12-04T09:30:58.5294381Z     torch_np/numpy_tests/lib/test_type_check 1/1
2025-12-04T09:30:58.5295112Z     cpp_extensions/test_libtorch_agnostic 1/1
2025-12-04T09:30:58.5295754Z     test_jit 1/1
2025-12-04T09:30:58.5296184Z     test_datapipe 1/1
2025-12-04T09:30:58.5296782Z     test_numba_integration 1/1
2025-12-04T09:30:58.5297353Z     test_functional_optim 1/1
2025-12-04T09:30:58.5297886Z     test_maskedtensor 1/1
2025-12-04T09:30:58.5298465Z     benchmark_utils/test_benchmark_utils 1/1
2025-12-04T09:30:58.5299183Z     torch_np/numpy_tests/core/test_scalarmath 1/1
2025-12-04T09:30:58.5299859Z     test_scaled_matmul_cuda 1/1
2025-12-04T09:30:58.5300486Z     torch_np/numpy_tests/core/test_shape_base 1/1
2025-12-04T09:30:58.5301152Z     test_vulkan 1/1
2025-12-04T09:30:58.5301612Z     lazy/test_generator 1/1
2025-12-04T09:30:58.5302205Z     torch_np/numpy_tests/linalg/test_linalg 1/1
2025-12-04T09:30:58.5302923Z     torch_np/numpy_tests/core/test_dtype 1/1
2025-12-04T09:30:58.5303556Z     lazy/test_debug_util 1/1
2025-12-04T09:30:58.5304111Z     nn/test_load_state_dict 1/1
2025-12-04T09:30:58.5304664Z     nn/test_module_hooks 1/1
2025-12-04T09:30:58.5305276Z     torch_np/numpy_tests/lib/test_twodim_base 1/1
2025-12-04T09:30:58.5305980Z     profiler/test_memory_profiler 1/1
2025-12-04T09:30:58.5306592Z     test_jit_llga_fuser 1/1
2025-12-04T09:30:58.5307336Z     test_serialization 1/1
2025-12-04T09:30:58.5307853Z     optim/test_optim 1/1
2025-12-04T09:30:58.5308425Z     torch_np/numpy_tests/fft/test_pocketfft 1/1
2025-12-04T09:30:58.5309161Z     torch_np/numpy_tests/lib/test_shape_base_ 1/1
2025-12-04T09:30:58.5309888Z     torch_np/numpy_tests/core/test_getlimits 1/1
2025-12-04T09:30:58.5310584Z     torch_np/test_ndarray_methods 1/1
2025-12-04T09:30:58.5311179Z     test_view_ops 1/1
2025-12-04T09:30:58.5311642Z     test_type_info 1/1
2025-12-04T09:30:58.5312159Z     functorch/test_aotdispatch 1/1
2025-12-04T09:30:58.5312803Z     torch_np/numpy_tests/core/test_dlpack 1/1
2025-12-04T09:30:58.5313457Z     test_cuda_multigpu 1/1
2025-12-04T09:30:58.5314055Z     torch_np/numpy_tests/lib/test_index_tricks 1/1
2025-12-04T09:30:58.5314745Z     test_jit_autocast 1/1
2025-12-04T09:30:58.5315262Z     nn/test_embedding 1/1
2025-12-04T09:30:58.5315770Z     test_unary_ufuncs 1/1
2025-12-04T09:30:58.5316310Z     test_xnnpack_integration 1/1
2025-12-04T09:30:58.5317119Z     torch_np/numpy_tests/core/test_numerictypes 1/1
2025-12-04T09:30:58.5317811Z     test_function_schema 1/1
2025-12-04T09:30:58.5318347Z     nn/test_init 1/1
2025-12-04T09:30:58.5318932Z     torch_np/numpy_tests/core/test_scalar_methods 1/1
2025-12-04T09:30:58.5319667Z     torch_np/numpy_tests/fft/test_helper 1/1
2025-12-04T09:30:58.5320335Z     torch_np/test_function_base 1/1
2025-12-04T09:30:58.5320933Z     test_type_promotion 1/1
2025-12-04T09:30:58.5321476Z     torch_np/test_scalars_0D_arrays 1/1
2025-12-04T09:30:58.5322110Z     profiler/test_profiler_tree 1/1
2025-12-04T09:30:58.5322782Z     torch_np/numpy_tests/lib/test_arraysetops 1/1
2025-12-04T09:30:58.5323464Z     profiler/test_torch_tidy 1/1
2025-12-04T09:30:58.5324029Z     lazy/test_reuse_ir 1/1
2025-12-04T09:30:58.5324593Z     test_functional_autograd_benchmark 1/1
2025-12-04T09:30:58.5325236Z     torch_np/test_reductions 1/1
2025-12-04T09:30:58.5325886Z     torch_np/numpy_tests/core/test_scalar_ctors 1/1
2025-12-04T09:30:58.5326642Z     torch_np/numpy_tests/lib/test_arraypad 1/1
2025-12-04T09:30:58.5327279Z     test_prims 1/1
2025-12-04T09:30:58.5327752Z     profiler/test_python_tracer 1/1
2025-12-04T09:30:58.5328781Z     cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1
2025-12-04T09:30:58.5329773Z Name: excluded (est. time: 0.0min)
2025-12-04T09:30:58.5330333Z   Serial tests (0):
2025-12-04T09:30:58.5330795Z   Parallel tests (0):
2025-12-04T09:30:58.5350772Z Running inductor/test_flex_attention 1/1 ... [2025-12-04 09:30:58.534756][1118.234042671]
2025-12-04T09:30:58.5351669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:58.5356905Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:58.535298]
2025-12-04T09:31:09.8351013Z 
2025-12-04T09:31:09.8352842Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_176e0db1bad719fa_.log
2025-12-04T09:31:09.8354513Z Running 0 items in this shard:
2025-12-04T09:31:09.8354894Z 
2025-12-04T09:31:09.8355478Z Finished inductor/test_flex_attention 1/1 ... [2025-12-04 09:31:09.834992][1129.534277303], took 0.19min
2025-12-04T09:31:09.8364533Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-494398f468e0db80.xml
2025-12-04T09:31:10.1117476Z Uploading artifacts took 0.12 seconds
2025-12-04T09:31:10.1122785Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:31:10.111961][1129.811246525]
2025-12-04T09:31:10.1123737Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:10.1127796Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:10.112376]
2025-12-04T09:31:13.3344296Z 
2025-12-04T09:31:13.3345457Z test_privateuseone_python_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_privateuseone_python_backend_1.1_158596816d3c1286_.log
2025-12-04T09:31:13.3346379Z Running 0 items in this shard:
2025-12-04T09:31:13.3346594Z 
2025-12-04T09:31:13.3346948Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:31:13.334229][1133.033516581], took 0.05min
2025-12-04T09:31:13.3354143Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-ae1781ce4fde7128.xml
2025-12-04T09:31:13.3577515Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:31:13.357449][1133.056735609]
2025-12-04T09:31:13.3578326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:13.3580516Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:13.357809]
2025-12-04T09:31:16.6204063Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:31:16.619957][1136.319235569], took 0.05min
2025-12-04T09:31:16.6215180Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-cf5a8324946cc768.xml
2025-12-04T09:31:16.7572797Z Uploading logs for 57118431093 to S3
2025-12-04T09:31:16.7834589Z Uploading artifacts took 0.14 seconds
2025-12-04T09:31:16.7835144Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T09:31:16.7840188Z Running test_overrides 1/1 ... [2025-12-04 09:31:16.783815][1136.483100471]
2025-12-04T09:31:16.7840867Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:16.7844667Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:16.784185]
2025-12-04T09:31:19.9122026Z 
2025-12-04T09:31:19.9123030Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_9c3f29ac8803da5d_.log
2025-12-04T09:31:19.9123677Z 
2025-12-04T09:31:19.9123961Z Finished test_overrides 1/1 ... [2025-12-04 09:31:19.912003][1139.611289349], took 0.05min
2025-12-04T09:31:19.9137732Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:31:19.913600][1139.612888375]
2025-12-04T09:31:19.9138250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:19.9142191Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:19.913970]
2025-12-04T09:31:28.1066452Z 
2025-12-04T09:31:28.1067450Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_42a982d48381811b_.log
2025-12-04T09:31:28.1068220Z 
2025-12-04T09:31:28.1068558Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:31:28.106373][1147.805658303], took 0.14min
2025-12-04T09:31:28.1082063Z Running doctests 1/1 ... [2025-12-04 09:31:28.107955][1147.807242309]
2025-12-04T09:31:28.6838248Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368.
2025-12-04T09:31:28.6839204Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:28.6839854Z Registers the function implementation as the fallback for the given key.
2025-12-04T09:31:28.6840221Z 
2025-12-04T09:31:28.6840461Z         This function only works for a library with global namespace ("_").
2025-12-04T09:31:28.6840805Z 
2025-12-04T09:31:28.6840912Z         Args:
2025-12-04T09:31:28.6841358Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:31:28.6841892Z                 to register a fallthrough.
2025-12-04T09:31:28.6842461Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:31:28.6843083Z                           the dispatch key that the library was created with.
2025-12-04T09:31:28.6843762Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:31:28.6844896Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:31:28.6845358Z 
2025-12-04T09:31:28.6845500Z         Example::
2025-12-04T09:31:28.6845649Z 
2025-12-04T09:31:28.6845766Z             >>> my_lib = Library("_", "IMPL")
2025-12-04T09:31:28.6846143Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:31:28.6846541Z             >>>     # Handle all autocast ops generically
2025-12-04T09:31:28.6846875Z             >>>     # ...
2025-12-04T09:31:28.6847200Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:28.6847565Z         
2025-12-04T09:31:28.6848407Z 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))
2025-12-04T09:31:28.6849185Z 
2025-12-04T09:31:28.6849324Z my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:28.6849663Z ^
2025-12-04T09:31:28.6984638Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958.
2025-12-04T09:31:28.6985504Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:28.6986127Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:31:28.6986494Z 
2025-12-04T09:31:28.6986679Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:31:28.6986978Z 
2025-12-04T09:31:28.6987266Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:31:28.6987870Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:31:28.6988456Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:31:28.6988970Z     what the properties of the output Tensors are.
2025-12-04T09:31:28.6989241Z 
2025-12-04T09:31:28.6989481Z     The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:31:28.6990278Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:31:28.6990831Z     implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:31:28.6991393Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:31:28.6991942Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:31:28.6992506Z     The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:31:28.6993068Z     (and may not directly access the storage or data of any input or
2025-12-04T09:31:28.6993500Z     intermediate Tensors).
2025-12-04T09:31:28.6993681Z 
2025-12-04T09:31:28.6993848Z     This API may be used as a decorator (see examples).
2025-12-04T09:31:28.6994114Z 
2025-12-04T09:31:28.6994257Z     For a detailed guide on custom ops, please see
2025-12-04T09:31:28.6994769Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:31:28.6995127Z 
2025-12-04T09:31:28.6995226Z     Args:
2025-12-04T09:31:28.6995578Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:31:28.6996056Z         func: Fake tensor implementation.
2025-12-04T09:31:28.6996498Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:31:28.6997014Z         allow_override: Flag controlling if we want to override an
2025-12-04T09:31:28.6997501Z                         existing registered fake impl. This is by default off,
2025-12-04T09:31:28.6997997Z                         and will error you're trying to register a fake impl to
2025-12-04T09:31:28.6998490Z                         an operator that already has a fake impl. This also only
2025-12-04T09:31:28.6998959Z                         applies if the custom operator was not created via
2025-12-04T09:31:28.6999451Z                         torch.library.custom_op, as overriding and existing fake
2025-12-04T09:31:28.6999893Z                         impl is already allowed.
2025-12-04T09:31:28.7000130Z 
2025-12-04T09:31:28.7000237Z     Examples:
2025-12-04T09:31:28.7000565Z         >>> import torch
2025-12-04T09:31:28.7000855Z         >>> import numpy as np
2025-12-04T09:31:28.7001166Z         >>> from torch import Tensor
2025-12-04T09:31:28.7001459Z         >>>
2025-12-04T09:31:28.7001789Z         >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:28.7002354Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:31:28.7002934Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:28.7003461Z         >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:31:28.7003858Z         >>>
2025-12-04T09:31:28.7004171Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:31:28.7004556Z         >>> def _(x, weight, bias):
2025-12-04T09:31:28.7004870Z         >>>     assert x.dim() == 2
2025-12-04T09:31:28.7005196Z         >>>     assert weight.dim() == 2
2025-12-04T09:31:28.7005523Z         >>>     assert bias.dim() == 1
2025-12-04T09:31:28.7005871Z         >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:28.7006256Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:28.7006632Z         >>>     assert x.device == weight.device
2025-12-04T09:31:28.7006947Z         >>>
2025-12-04T09:31:28.7007587Z         >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:28.7007929Z         >>>
2025-12-04T09:31:28.7008304Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:31:28.7008715Z         >>>     x = torch.randn(2, 3)
2025-12-04T09:31:28.7009041Z         >>>     w = torch.randn(3, 3)
2025-12-04T09:31:28.7009346Z         >>>     b = torch.randn(3)
2025-12-04T09:31:28.7009696Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:31:28.7010046Z         >>>
2025-12-04T09:31:28.7010274Z         >>> assert y.shape == (2, 3)
2025-12-04T09:31:28.7010708Z         >>>
2025-12-04T09:31:28.7011026Z         >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:28.7011566Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:31:28.7012036Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:28.7012401Z         >>>     x_np = x.numpy(force=True)
2025-12-04T09:31:28.7012765Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:28.7013144Z         >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:28.7013489Z         >>>
2025-12-04T09:31:28.7013797Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:31:28.7014172Z         >>> def _(x):
2025-12-04T09:31:28.7014490Z         >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:28.7014921Z         >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:31:28.7015370Z         >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:28.7015780Z         >>> # represents the data-dependent size.
2025-12-04T09:31:28.7016154Z         >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:28.7016511Z         >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:28.7016835Z         >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:28.7017205Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:28.7017580Z         >>>     return result
2025-12-04T09:31:28.7017841Z         >>>
2025-12-04T09:31:28.7018157Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:31:28.7018547Z         >>>
2025-12-04T09:31:28.7018782Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:31:28.7019265Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:31:28.7019755Z         >>> trace.print_readable()
2025-12-04T09:31:28.7020054Z         >>>
2025-12-04T09:31:28.7020406Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:31:28.7020772Z 
2025-12-04T09:31:28.7020857Z     
2025-12-04T09:31:28.7021614Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:31:28.7022273Z 
2025-12-04T09:31:28.7022360Z _._ = None
2025-12-04T09:31:28.7022577Z ^
2025-12-04T09:31:28.7130624Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530.
2025-12-04T09:31:28.7131497Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:28.7132085Z Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:31:28.7132434Z 
2025-12-04T09:31:28.7132663Z     This function retrieves the kernel that would be executed for a given
2025-12-04T09:31:28.7133260Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:31:28.7133830Z     can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:31:28.7134385Z     case for this function is to retrieve the original kernel for a given
2025-12-04T09:31:28.7134956Z     dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:31:28.7135478Z     that calls into the original kernel for certain cases.
2025-12-04T09:31:28.7135760Z 
2025-12-04T09:31:28.7135846Z     Args:
2025-12-04T09:31:28.7136183Z         op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:31:28.7136772Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:31:28.7137394Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:31:28.7137969Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:31:28.7138319Z 
2025-12-04T09:31:28.7138409Z     Returns:
2025-12-04T09:31:28.7138798Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:31:28.7139463Z             call the kernel.
2025-12-04T09:31:28.7139647Z 
2025-12-04T09:31:28.7139739Z     Raises:
2025-12-04T09:31:28.7140025Z         RuntimeError: If the operator does not exist.
2025-12-04T09:31:28.7140285Z 
2025-12-04T09:31:28.7140392Z     Example:
2025-12-04T09:31:28.7140641Z         >>> # Get the CPU kernel for torch.add
2025-12-04T09:31:28.7141087Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:31:28.7141495Z         >>>
2025-12-04T09:31:28.7141749Z         >>> # You can also use DispatchKey enum
2025-12-04T09:31:28.7142247Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:31:28.7142740Z         >>>
2025-12-04T09:31:28.7142990Z         >>> # Or use an OpOverload directly
2025-12-04T09:31:28.7143445Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:31:28.7143891Z         >>>
2025-12-04T09:31:28.7144246Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:31:28.7144721Z         >>> # Get the original kernel for torch.sin
2025-12-04T09:31:28.7145203Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:31:28.7145640Z         >>>
2025-12-04T09:31:28.7146010Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:31:28.7146509Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:31:28.7146877Z         >>>     if (x < 0).any():
2025-12-04T09:31:28.7147272Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:31:28.7147671Z         >>>     else:
2025-12-04T09:31:28.7147954Z         >>>         return torch.zeros_like(x)
2025-12-04T09:31:28.7148279Z         >>>
2025-12-04T09:31:28.7148541Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:31:28.7149081Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:31:28.7149676Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:28.7150285Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:31:28.7150687Z         >>>
2025-12-04T09:31:28.7150936Z         >>> # Test the conditional behavior
2025-12-04T09:31:28.7151298Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:31:28.7151650Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:31:28.7151997Z         >>> torch.sin(x_positive)
2025-12-04T09:31:28.7152300Z         tensor([0., 0.])
2025-12-04T09:31:28.7152565Z         >>> torch.sin(x_mixed)
2025-12-04T09:31:28.7152859Z         tensor([-0.8415, 0.9093])
2025-12-04T09:31:28.7153140Z     
2025-12-04T09:31:28.7153753Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:31:28.7154365Z 
2025-12-04T09:31:28.7154550Z which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:28.7154946Z       ^
2025-12-04T09:31:29.0537796Z 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.
2025-12-04T09:31:29.0538751Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:29.0539384Z Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:31:29.0539994Z     required drivers are available and at least one device is visible.
2025-12-04T09:31:29.0540516Z     See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:31:29.0540779Z 
2025-12-04T09:31:29.0552959Z     Returns:
2025-12-04T09:31:29.0553567Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:31:29.0553982Z 
2025-12-04T09:31:29.0554266Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:31:29.0554923Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:31:29.0555861Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:31:29.0556402Z         :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:31:29.0556661Z 
2025-12-04T09:31:29.0556759Z     Example::
2025-12-04T09:31:29.0556912Z 
2025-12-04T09:31:29.0557192Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:29.0557683Z     
2025-12-04T09:31:29.0558385Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:31:29.0559077Z 
2025-12-04T09:31:29.0559344Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:29.0559844Z                                         ^
2025-12-04T09:31:29.0572157Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T09:31:29.0573113Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:29.0573702Z Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:31:29.0574051Z 
2025-12-04T09:31:29.0574143Z     Args:
2025-12-04T09:31:29.0574612Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:31:29.0575325Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:31:29.0575890Z             use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:31:29.0576228Z 
2025-12-04T09:31:29.0576562Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:31:29.0577003Z 
2025-12-04T09:31:29.0577110Z     Example::
2025-12-04T09:31:29.0577248Z 
2025-12-04T09:31:29.0577412Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:31:29.0578103Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:29.0578665Z         >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:31:29.0579074Z         >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:31:29.0579428Z         >>> start_event.record()
2025-12-04T09:31:29.0579884Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:31:29.0580373Z         >>> sum = torch.sum(tensor)
2025-12-04T09:31:29.0580684Z         >>> end_event.record()
2025-12-04T09:31:29.0581009Z         >>> torch.accelerator.synchronize()
2025-12-04T09:31:29.0581431Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:31:29.0581817Z     
2025-12-04T09:31:29.0582498Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:31:29.0583202Z 
2025-12-04T09:31:29.0583477Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:29.0583974Z                                         ^
2025-12-04T09:31:29.2377769Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T09:31:29.2378643Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:29.2379155Z Retrieves the CUDA runtime API module.
2025-12-04T09:31:29.2379403Z 
2025-12-04T09:31:29.2379408Z 
2025-12-04T09:31:29.2379666Z     This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:31:29.2380293Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:31:29.2380873Z     runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:31:29.2381235Z 
2025-12-04T09:31:29.2381324Z     Args:
2025-12-04T09:31:29.2381545Z         ``None``
2025-12-04T09:31:29.2381982Z 
2025-12-04T09:31:29.2382072Z     Returns:
2025-12-04T09:31:29.2382378Z         module: The CUDA runtime API module (_cudart).
2025-12-04T09:31:29.2382656Z 
2025-12-04T09:31:29.2382745Z     Raises:
2025-12-04T09:31:29.2383118Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:31:29.2383838Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:31:29.2384343Z 
2025-12-04T09:31:29.2384483Z     Example of CUDA operations with profiling:
2025-12-04T09:31:29.2384837Z         >>> import torch
2025-12-04T09:31:29.2385142Z         >>> from torch.cuda import cudart, check_error
2025-12-04T09:31:29.2385497Z         >>> import os
2025-12-04T09:31:29.2385745Z         >>>
2025-12-04T09:31:29.2385997Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:31:29.2386306Z         >>>
2025-12-04T09:31:29.2386581Z         >>> def perform_cuda_operations_with_streams():
2025-12-04T09:31:29.2386967Z         >>>     stream = torch.cuda.Stream()
2025-12-04T09:31:29.2387328Z         >>>     with torch.cuda.stream(stream):
2025-12-04T09:31:29.2387706Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:29.2388098Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:29.2388445Z         >>>         z = torch.mul(x, y)
2025-12-04T09:31:29.2388766Z         >>>     return z
2025-12-04T09:31:29.2389026Z         >>>
2025-12-04T09:31:29.2389261Z         >>> torch.cuda.synchronize()
2025-12-04T09:31:29.2389620Z         >>> print("====== Start nsys profiling ======")
2025-12-04T09:31:29.2390022Z         >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:31:29.2390431Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:31:29.2390843Z         >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:31:29.2391263Z         >>>     print("CUDA operations completed.")
2025-12-04T09:31:29.2391684Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:31:29.2392215Z         >>> print("====== End nsys profiling ======")
2025-12-04T09:31:29.2392486Z 
2025-12-04T09:31:29.2392692Z     To run this example and save the profiling information, execute:
2025-12-04T09:31:29.2393417Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:29.2393902Z 
2025-12-04T09:31:29.2394169Z     This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:31:29.2394740Z     the profiling information to a file named `trace_name.prof`.
2025-12-04T09:31:29.2395325Z     The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:31:29.2395848Z     after the `cudaProfilerStart` call in the script.
2025-12-04T09:31:29.2396355Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:31:29.2396836Z     CSV file and print a summary, respectively.
2025-12-04T09:31:29.2397354Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:31:29.2397905Z     overwrite of the output file if it already exists.
2025-12-04T09:31:29.2398261Z     
2025-12-04T09:31:29.2399062Z 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))
2025-12-04T09:31:29.2399854Z 
2025-12-04T09:31:29.2400222Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:29.2400795Z ^
2025-12-04T09:31:30.9141422Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T09:31:30.9142349Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:30.9142729Z 
2025-12-04T09:31:30.9142974Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:31:30.9143535Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:31:30.9144462Z pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:31:30.9144936Z vectorizing those operations.
2025-12-04T09:31:30.9145137Z 
2025-12-04T09:31:30.9145361Z vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:31:30.9145918Z ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:31:30.9146473Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:31:30.9146987Z compute batched gradients when composed with autograd.
2025-12-04T09:31:30.9147290Z 
2025-12-04T09:31:30.9147416Z .. note::
2025-12-04T09:31:30.9147744Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:31:30.9148193Z     convenience. Use whichever one you'd like.
2025-12-04T09:31:30.9148440Z 
2025-12-04T09:31:30.9148525Z Args:
2025-12-04T09:31:30.9148876Z     func (function): A Python function that takes one or more arguments.
2025-12-04T09:31:30.9149345Z         Must return one or more Tensors.
2025-12-04T09:31:30.9149779Z     in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:31:30.9150297Z         inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:31:30.9150806Z         structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:31:30.9151310Z         input is None, then that indicates there is no map dimension.
2025-12-04T09:31:30.9151726Z         Default: 0.
2025-12-04T09:31:30.9152092Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:31:30.9152620Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:31:30.9153093Z         it should have one element per output. Default: 0.
2025-12-04T09:31:30.9153568Z     randomness (str): Specifies whether the randomness in this
2025-12-04T09:31:30.9154099Z         vmap should be the same or different across batches. If 'different',
2025-12-04T09:31:30.9154641Z         the randomness for each batch will be different. If 'same', the
2025-12-04T09:31:30.9155309Z         randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:31:30.9155883Z         random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:31:30.9156438Z         only applies to random PyTorch operations and does not apply to
2025-12-04T09:31:30.9156899Z         Python's random module or numpy randomness.
2025-12-04T09:31:30.9157395Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:31:30.9157986Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:31:30.9158593Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:31:30.9159269Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:31:30.9159680Z 
2025-12-04T09:31:30.9159771Z Returns:
2025-12-04T09:31:30.9160114Z     Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:31:30.9160615Z     ``func``, except each input has an extra dimension at the index
2025-12-04T09:31:30.9161135Z     specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:31:30.9161651Z     ``func``, except each output has an extra dimension at the index
2025-12-04T09:31:30.9162062Z     specified by ``out_dims``.
2025-12-04T09:31:30.9162273Z 
2025-12-04T09:31:30.9162361Z .. warning:
2025-12-04T09:31:30.9162706Z     :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:31:30.9163233Z     perform any side-effects in ``func``, with the exception of
2025-12-04T09:31:30.9163782Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:31:30.9164384Z     Python data structures and assigning values to variables not captured
2025-12-04T09:31:30.9164835Z     in ``func``.
2025-12-04T09:31:30.9164979Z 
2025-12-04T09:31:30.9165227Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:31:30.9165911Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:31:30.9166495Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:31:30.9166844Z 
2025-12-04T09:31:30.9166988Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:30.9167405Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:31:30.9167872Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:30.9168362Z     >>> batched_dot(x, y)
2025-12-04T09:31:30.9168544Z 
2025-12-04T09:31:30.9168783Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:31:30.9169255Z model authoring experience.
2025-12-04T09:31:30.9169461Z 
2025-12-04T09:31:30.9169576Z     >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:30.9169987Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:30.9170370Z     >>>
2025-12-04T09:31:30.9170607Z     >>> def model(feature_vec):
2025-12-04T09:31:30.9170946Z     >>> # Very simple linear model with activation
2025-12-04T09:31:30.9171325Z     >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:30.9171668Z     >>>
2025-12-04T09:31:30.9171949Z     >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:30.9172338Z     >>> result = torch.vmap(model)(examples)
2025-12-04T09:31:30.9172585Z 
2025-12-04T09:31:30.9172842Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:31:30.9173470Z or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:31:30.9174078Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:31:30.9174665Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:31:30.9175293Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:31:30.9176382Z we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:31:30.9177400Z call to ``autograd.grad``.
2025-12-04T09:31:30.9177620Z 
2025-12-04T09:31:30.9177712Z     >>> # Setup
2025-12-04T09:31:30.9178062Z     >>> N = 5
2025-12-04T09:31:30.9178358Z     >>> f = lambda x: x**2
2025-12-04T09:31:30.9178670Z     >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:31:30.9179006Z     >>> y = f(x)
2025-12-04T09:31:30.9179241Z     >>> I_N = torch.eye(N)
2025-12-04T09:31:30.9179508Z     >>>
2025-12-04T09:31:30.9179737Z     >>> # Sequential approach
2025-12-04T09:31:30.9180143Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:31:30.9180606Z     >>>                  for v in I_N.unbind()]
2025-12-04T09:31:30.9180964Z     >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:31:30.9181279Z     >>>
2025-12-04T09:31:30.9181524Z     >>> # vectorized gradient computation
2025-12-04T09:31:30.9181857Z     >>> def get_vjp(v):
2025-12-04T09:31:30.9182141Z     >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:31:30.9182519Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:31:30.9182770Z 
2025-12-04T09:31:30.9183046Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:31:30.9183439Z 
2025-12-04T09:31:30.9183562Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:30.9183878Z     >>> batched_dot = torch.vmap(
2025-12-04T09:31:30.9184196Z     ...     torch.vmap(torch.dot)
2025-12-04T09:31:30.9184523Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:31:30.9184894Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:31:30.9185288Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:31:30.9185541Z 
2025-12-04T09:31:30.9185790Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:31:30.9186322Z the dimension that each inputs are batched along as
2025-12-04T09:31:30.9186590Z 
2025-12-04T09:31:30.9186696Z     >>> torch.dot  # [N], [N] -> []
2025-12-04T09:31:30.9187243Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:31:30.9187726Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:30.9188058Z     >>> batched_dot(
2025-12-04T09:31:30.9188308Z     ...     x, y
2025-12-04T09:31:30.9188659Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:31:30.9188975Z 
2025-12-04T09:31:30.9189260Z If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:31:30.9189858Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:31:30.9190194Z 
2025-12-04T09:31:30.9190302Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:30.9190759Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:31:30.9191242Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:30.9191582Z     >>> batched_dot(
2025-12-04T09:31:30.9191833Z     ...     x, y
2025-12-04T09:31:30.9192187Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:31:30.9192511Z 
2025-12-04T09:31:30.9192756Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:31:30.9193236Z matching the shape of the input:
2025-12-04T09:31:30.9193441Z 
2025-12-04T09:31:30.9193597Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:31:30.9193971Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:30.9194319Z     >>> input = {"x": x, "y": y}
2025-12-04T09:31:30.9194702Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:31:30.9195112Z     >>> batched_dot(input)
2025-12-04T09:31:30.9195293Z 
2025-12-04T09:31:30.9195573Z By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:31:30.9196107Z along any dimension by using ``out_dims``
2025-12-04T09:31:30.9196342Z 
2025-12-04T09:31:30.9196454Z     >>> f = lambda x: x**2
2025-12-04T09:31:30.9196733Z     >>> x = torch.randn(2, 5)
2025-12-04T09:31:30.9197126Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:31:30.9197490Z     >>> batched_pow(x)  # [5, 2]
2025-12-04T09:31:30.9197685Z 
2025-12-04T09:31:30.9198001Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:31:30.9198511Z accept kwargs
2025-12-04T09:31:30.9198667Z 
2025-12-04T09:31:30.9198771Z     >>> x = torch.randn([2, 5])
2025-12-04T09:31:30.9199075Z     >>> def fn(x, scale=4.):
2025-12-04T09:31:30.9199356Z     >>>   return x * scale
2025-12-04T09:31:30.9199626Z     >>>
2025-12-04T09:31:30.9199863Z     >>> batched_pow = torch.vmap(fn)
2025-12-04T09:31:30.9200217Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:31:30.9200717Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:31:30.9201070Z 
2025-12-04T09:31:30.9201207Z .. note::
2025-12-04T09:31:30.9201554Z     vmap does not provide general autobatching or handle variable-length
2025-12-04T09:31:30.9202016Z     sequences out of the box.
2025-12-04T09:31:30.9202225Z 
2025-12-04T09:31:30.9202765Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:31:30.9203417Z 
2025-12-04T09:31:30.9203517Z _._ = None
2025-12-04T09:31:30.9203720Z ^
2025-12-04T09:31:30.9204395Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T09:31:30.9205259Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:30.9205882Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:31:30.9206459Z     input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:31:30.9206896Z     compute higher-order gradients.
2025-12-04T09:31:30.9207518Z 
2025-12-04T09:31:30.9207661Z     Args:
2025-12-04T09:31:30.9208305Z         func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:31:30.9208928Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:31:30.9209601Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:31:30.9210105Z             ``(output, aux)``.
2025-12-04T09:31:30.9210591Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:31:30.9211205Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:31:30.9211768Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:31:30.9212293Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:31:30.9212584Z 
2025-12-04T09:31:30.9212672Z     Returns:
2025-12-04T09:31:30.9213103Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:31:30.9213775Z         the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:31:30.9214425Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:31:30.9215078Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:31:30.9215618Z         respect to each ``argnums`` value is returned.
2025-12-04T09:31:30.9215879Z 
2025-12-04T09:31:30.9215998Z     Example of using ``grad``:
2025-12-04T09:31:30.9216189Z 
2025-12-04T09:31:30.9216304Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:30.9216603Z         >>> from torch.func import grad
2025-12-04T09:31:30.9216936Z         >>> x = torch.randn([])
2025-12-04T09:31:30.9217261Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:31:30.9217628Z         >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:31:30.9217963Z         >>>
2025-12-04T09:31:30.9218208Z         >>> # Second-order gradients
2025-12-04T09:31:30.9218577Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:31:30.9219128Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:31:30.9219388Z 
2025-12-04T09:31:30.9219663Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:31:30.9220050Z 
2025-12-04T09:31:30.9220170Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:30.9220479Z         >>> from torch.func import grad, vmap
2025-12-04T09:31:30.9220843Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:30.9221164Z         >>>
2025-12-04T09:31:30.9221401Z         >>> def model(weights, feature_vec):
2025-12-04T09:31:30.9221773Z         >>> # Very simple linear model with activation
2025-12-04T09:31:30.9222146Z         >>>     assert feature_vec.dim() == 1
2025-12-04T09:31:30.9222502Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:30.9222837Z         >>>
2025-12-04T09:31:30.9223109Z         >>> def compute_loss(weights, example, target):
2025-12-04T09:31:30.9223478Z         >>>     y = model(weights, example)
2025-12-04T09:31:30.9223853Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:31:30.9224203Z         >>>
2025-12-04T09:31:30.9224522Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:30.9224980Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:30.9225380Z         >>> targets = torch.randn(batch_size)
2025-12-04T09:31:30.9225746Z         >>> inputs = (weights, examples, targets)
2025-12-04T09:31:30.9226222Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:31:30.9226682Z         ...     *inputs
2025-12-04T09:31:30.9226935Z         ... )
2025-12-04T09:31:30.9227067Z 
2025-12-04T09:31:30.9227263Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:31:30.9227560Z 
2025-12-04T09:31:30.9227661Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:30.9227967Z         >>> from torch.func import grad
2025-12-04T09:31:30.9228387Z         >>> def my_loss_func(y, y_pred):
2025-12-04T09:31:30.9228745Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:31:30.9229122Z         >>>    loss = loss_per_sample.mean()
2025-12-04T09:31:30.9229490Z         >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:31:30.9229812Z         >>>
2025-12-04T09:31:30.9230105Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:31:30.9230489Z         >>> y_true = torch.rand(4)
2025-12-04T09:31:30.9230830Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:31:30.9231204Z         >>> out = fn(y_true, y_preds)
2025-12-04T09:31:30.9231674Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:31:30.9232050Z 
2025-12-04T09:31:30.9232174Z     .. note::
2025-12-04T09:31:30.9232481Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:31:30.9232784Z 
2025-12-04T09:31:30.9232941Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:31:30.9233205Z 
2025-12-04T09:31:30.9233325Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:30.9233622Z             >>> def f(x):
2025-12-04T09:31:30.9233891Z             >>>     with torch.no_grad():
2025-12-04T09:31:30.9234212Z             >>>         c = x ** 2
2025-12-04T09:31:30.9234515Z             >>>     return x - c
2025-12-04T09:31:30.9234704Z 
2025-12-04T09:31:30.9234909Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:31:30.9235243Z 
2025-12-04T09:31:30.9235433Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:31:30.9235745Z 
2025-12-04T09:31:30.9235860Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:30.9236179Z             >>> with torch.no_grad():
2025-12-04T09:31:30.9236505Z             >>>     grad(f)(x)
2025-12-04T09:31:30.9236888Z 
2025-12-04T09:31:30.9237246Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:31:30.9238065Z         outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:31:30.9238702Z         should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:31:30.9239068Z 
2025-12-04T09:31:30.9239155Z     
2025-12-04T09:31:30.9239824Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:31:30.9240472Z 
2025-12-04T09:31:30.9240570Z _._ = None
2025-12-04T09:31:30.9240776Z ^
2025-12-04T09:31:34.4808124Z 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.
2025-12-04T09:31:34.4809297Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:34.4809871Z Register a FakeTensor implementation for this custom op.
2025-12-04T09:31:34.4810170Z 
2025-12-04T09:31:34.4810436Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:31:34.4810851Z 
2025-12-04T09:31:34.4811079Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:31:34.4811667Z         specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:31:34.4812187Z         Given some input Tensors with certain properties
2025-12-04T09:31:34.4812727Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:31:34.4813214Z         the output Tensors are.
2025-12-04T09:31:34.4813421Z 
2025-12-04T09:31:34.4813633Z         Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:31:34.4813960Z 
2025-12-04T09:31:34.4814059Z         Args:
2025-12-04T09:31:34.4814372Z             fn (Callable): The function to register as the FakeTensor
2025-12-04T09:31:34.4814775Z                 implementation.
2025-12-04T09:31:34.4814975Z 
2025-12-04T09:31:34.4815066Z         Examples:
2025-12-04T09:31:34.4815675Z             >>> import torch
2025-12-04T09:31:34.4815968Z             >>> import numpy as np
2025-12-04T09:31:34.4816290Z             >>> from torch import Tensor
2025-12-04T09:31:34.4816604Z             >>>
2025-12-04T09:31:34.4816934Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:34.4817490Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:31:34.4818017Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:34.4818463Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:34.4818781Z             >>>
2025-12-04T09:31:34.4819035Z             >>> @linear.register_fake
2025-12-04T09:31:34.4819363Z             >>> def _(x, weight, bias):
2025-12-04T09:31:34.4819693Z             >>>     assert x.dim() == 2
2025-12-04T09:31:34.4820026Z             >>>     assert weight.dim() == 2
2025-12-04T09:31:34.4820373Z             >>>     assert bias.dim() == 1
2025-12-04T09:31:34.4820728Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:34.4821125Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:34.4821520Z             >>>     assert x.device == weight.device
2025-12-04T09:31:34.4821907Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:31:34.4822274Z             >>>
2025-12-04T09:31:34.4822533Z             >>> x = torch.randn(2, 2)
2025-12-04T09:31:34.4822855Z             >>> weight = torch.randn(2, 2)
2025-12-04T09:31:34.4823202Z             >>> bias = torch.randn(2)
2025-12-04T09:31:34.4823568Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:34.4824040Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:31:34.4824501Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:34.4825023Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:31:34.4825495Z             >>>
2025-12-04T09:31:34.4825925Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:34.4826448Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:31:34.4826900Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:34.4827243Z             >>>     x_np = x.cpu().numpy()
2025-12-04T09:31:34.4827612Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:34.4828018Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:34.4828372Z             >>>
2025-12-04T09:31:34.4828612Z             >>> @nonzero.register_fake
2025-12-04T09:31:34.4828931Z             >>> def _(x):
2025-12-04T09:31:34.4829261Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:34.4829701Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:31:34.4830160Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:34.4830594Z             >>> # represents the data-dependent size.
2025-12-04T09:31:34.4830976Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:34.4831330Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:34.4831681Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:34.4832068Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:34.4832436Z             >>>     return result
2025-12-04T09:31:34.4832723Z             >>>
2025-12-04T09:31:34.4832995Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:31:34.4833363Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:34.4833781Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:31:34.4834198Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:34.4834582Z             >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:31:34.4834842Z 
2025-12-04T09:31:34.4835010Z         
2025-12-04T09:31:34.4835691Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:31:34.4836345Z 
2025-12-04T09:31:34.4836444Z _._ = None
2025-12-04T09:31:34.4836648Z ^
2025-12-04T09:31:34.5042925Z 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.
2025-12-04T09:31:34.5043959Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:31:34.5044350Z 
2025-12-04T09:31:34.5044598Z Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:31:34.5045215Z kernel registration will override any existing fake kernel registrations.
2025-12-04T09:31:34.5045588Z 
2025-12-04T09:31:34.5045808Z The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:31:34.5046389Z profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:31:34.5046977Z are a record of the input and output tensor metadata. Based on this
2025-12-04T09:31:34.5047537Z information we will match a given input to the recorded profile, and return
2025-12-04T09:31:34.5048141Z an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:31:34.5048718Z doesn't exist then an exception will be thrown.
2025-12-04T09:31:34.5048973Z 
2025-12-04T09:31:34.5049223Z The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:31:34.5049801Z rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:31:34.5050414Z variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:31:34.5051057Z fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:31:34.5051678Z possible that data-dependent operations may produce outputs of different
2025-12-04T09:31:34.5052280Z ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:31:34.5053065Z are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:31:34.5053519Z potentially unsafe.
2025-12-04T09:31:34.5053676Z 
2025-12-04T09:31:34.5053761Z Args:
2025-12-04T09:31:34.5054114Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:31:34.5054674Z         name to a set of operator profiles from which we will generate fake
2025-12-04T09:31:34.5055087Z         kernels.
2025-12-04T09:31:34.5055241Z 
2025-12-04T09:31:34.5055330Z Examples:
2025-12-04T09:31:34.5055466Z 
2025-12-04T09:31:34.5055643Z     >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:31:34.5056034Z     >>> import torch
2025-12-04T09:31:34.5056352Z     >>> from torch.export._draft_export import draft_export
2025-12-04T09:31:34.5056727Z     >>>
2025-12-04T09:31:34.5057060Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:31:34.5057488Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:31:34.5057836Z     >>>     return x + y
2025-12-04T09:31:34.5058100Z     >>>
2025-12-04T09:31:34.5058321Z     >>> class M(torch.nn.Module):
2025-12-04T09:31:34.5058636Z     >>>     def forward(self, a, b):
2025-12-04T09:31:34.5059002Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:31:34.5059356Z     >>>         return res
2025-12-04T09:31:34.5059621Z     >>>
2025-12-04T09:31:34.5059924Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:31:34.5060309Z     >>>
2025-12-04T09:31:34.5060731Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:31:34.5061290Z     >>>     decomp = ep.run_decompositions()
2025-12-04T09:31:34.5061524Z 
2025-12-04T09:31:34.5061528Z 
2025-12-04T09:31:34.5062028Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:31:34.5062632Z 
2025-12-04T09:31:35.1619998Z 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.
2025-12-04T09:31:35.1621303Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:35.1621685Z 
2025-12-04T09:31:35.1621975Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:31:35.1622602Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:31:35.1623221Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:31:35.1623702Z input by the user.
2025-12-04T09:31:35.1624092Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:31:35.1624591Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:31:35.1624878Z 
2025-12-04T09:31:35.1624999Z Note::
2025-12-04T09:31:35.1625461Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:31:35.1625930Z 
2025-12-04T09:31:35.1626015Z Args:
2025-12-04T09:31:35.1626238Z     model (nn.Module):
2025-12-04T09:31:35.1626643Z         The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:31:35.1627250Z         sparsified should be added separately using the register_layer() function
2025-12-04T09:31:35.1627738Z     aggregate_fn (Optional, Callable):
2025-12-04T09:31:35.1628231Z         default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:31:35.1628800Z         specifies how inputs should be aggregated over time.
2025-12-04T09:31:35.1629376Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:31:35.1629888Z         Example
2025-12-04T09:31:35.1630221Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:31:35.1630648Z             reduce_fn (Optional, Callable):
2025-12-04T09:31:35.1631421Z                 default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:31:35.1632077Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:31:35.1632596Z                 calling agg_fn() on all inputs.
2025-12-04T09:31:35.1632921Z                 Example
2025-12-04T09:31:35.1633296Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:31:35.1633746Z             mask_fn (Optional, Callable):
2025-12-04T09:31:35.1634285Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:31:35.1634998Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:31:35.1635495Z                 register_layer().
2025-12-04T09:31:35.1636060Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:31:35.1636639Z                 arguments.
2025-12-04T09:31:35.1636936Z             features (Optional, list):
2025-12-04T09:31:35.1637302Z                 default selected features to sparsify.
2025-12-04T09:31:35.1637818Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:31:35.1638323Z                 For example,
2025-12-04T09:31:35.1638778Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:31:35.1639283Z             feature_dim (Optional, int):
2025-12-04T09:31:35.1639792Z                 default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:31:35.1640315Z                 for sparsification.
2025-12-04T09:31:35.1640641Z             sparse_config (Dict):
2025-12-04T09:31:35.1641065Z                 Default configuration for the mask_fn. This config will be passed
2025-12-04T09:31:35.1641524Z                 with the mask_fn()
2025-12-04T09:31:35.1641883Z 
2025-12-04T09:31:35.1641975Z Example:
2025-12-04T09:31:35.1642214Z     >>> # xdoctest: +SKIP
2025-12-04T09:31:35.1642486Z     >>> model = SomeModel()
2025-12-04T09:31:35.1642929Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:31:35.1643418Z     >>> # Initialize aggregate_fn
2025-12-04T09:31:35.1643717Z     >>> def agg_fn(x, y):
2025-12-04T09:31:35.1643990Z     >>>     return x + y
2025-12-04T09:31:35.1644252Z     >>>
2025-12-04T09:31:35.1644466Z     >>> # Initialize reduce_fn
2025-12-04T09:31:35.1644760Z     >>> def reduce_fn(x):
2025-12-04T09:31:35.1645047Z     >>>     return torch.mean(x, dim=0)
2025-12-04T09:31:35.1645349Z     >>>
2025-12-04T09:31:35.1645571Z     >>> # Initialize mask_fn
2025-12-04T09:31:35.1645858Z     >>> def mask_fn(data):
2025-12-04T09:31:35.1646177Z     >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:31:35.1646533Z     >>>
2025-12-04T09:31:35.1646742Z     >>>
2025-12-04T09:31:35.1646980Z     >>> act_sparsifier.register_layer(
2025-12-04T09:31:35.1647319Z     ...     model.some_layer,
2025-12-04T09:31:35.1647621Z     ...     aggregate_fn=agg_fn,
2025-12-04T09:31:35.1647922Z     ...     reduce_fn=reduce_fn,
2025-12-04T09:31:35.1648323Z     ...     mask_fn=mask_fn,
2025-12-04T09:31:35.1648609Z     ... )
2025-12-04T09:31:35.1648830Z     >>>
2025-12-04T09:31:35.1649049Z     >>> # start training process
2025-12-04T09:31:35.1649346Z     >>> for _ in [...]:
2025-12-04T09:31:35.1649609Z     >>> # epoch starts
2025-12-04T09:31:35.1649945Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:31:35.1650336Z     >>> # epoch ends
2025-12-04T09:31:35.1650605Z     >>>     act_sparsifier.step()
2025-12-04T09:31:35.1650905Z     >>> # end training process
2025-12-04T09:31:35.1651212Z     >>> sparsifier.squash_mask()
2025-12-04T09:31:35.1651413Z 
2025-12-04T09:31:35.1651943Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:31:35.1652577Z 
2025-12-04T09:31:35.1652794Z _._ = None
2025-12-04T09:31:35.1653005Z ^
2025-12-04T09:31:36.1627946Z 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.
2025-12-04T09:31:36.1629000Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:36.1629383Z 
2025-12-04T09:31:36.1629683Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:31:36.1630355Z The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:31:36.1630856Z ``mesh_dim_names``
2025-12-04T09:31:36.1631019Z 
2025-12-04T09:31:36.1631104Z Args:
2025-12-04T09:31:36.1631476Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:31:36.1632027Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:31:36.1632449Z Returns:
2025-12-04T09:31:36.1632689Z     A :class:`DeviceMesh` object
2025-12-04T09:31:36.1632899Z 
2025-12-04T09:31:36.1633191Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:31:36.1633715Z In the first example:
2025-12-04T09:31:36.1634150Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:31:36.1634796Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:31:36.1635393Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:31:36.1635983Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:31:36.1636569Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:31:36.1637140Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:31:36.1637500Z 
2025-12-04T09:31:36.1637905Z In the second example:
2025-12-04T09:31:36.1638370Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:31:36.1639048Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:31:36.1639705Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:31:36.1640375Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:31:36.1640780Z 
2025-12-04T09:31:36.1640912Z Example::
2025-12-04T09:31:36.1641038Z 
2025-12-04T09:31:36.1641161Z     >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:31:36.1641550Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:31:36.1641938Z     >>>
2025-12-04T09:31:36.1642279Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:31:36.1642747Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:31:36.1643287Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:36.1643787Z     >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:31:36.1644097Z     >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:31:36.1644368Z     >>>
2025-12-04T09:31:36.1644599Z     >>> # Initialize a 3D mesh.
2025-12-04T09:31:36.1645076Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:31:36.1645788Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:31:36.1646347Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:31:36.1646689Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:31:36.1646912Z 
2025-12-04T09:31:36.1647616Z 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))
2025-12-04T09:31:36.1648525Z 
2025-12-04T09:31:36.1649443Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:36.1649974Z                                                                                  ^
2025-12-04T09:31:36.7551192Z 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.
2025-12-04T09:31:36.7552230Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:36.7552610Z 
2025-12-04T09:31:36.7552922Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:31:36.7553341Z 
2025-12-04T09:31:36.7553644Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:31:36.7554083Z 
2025-12-04T09:31:36.7554368Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:36.7554925Z will be visible to the whole process.
2025-12-04T09:31:36.7555152Z 
2025-12-04T09:31:36.7555460Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:31:36.7555866Z 
2025-12-04T09:31:36.7555995Z 1) set_up_planner - called on all ranks.
2025-12-04T09:31:36.7556364Z     Signals the start of a checkpoint save.
2025-12-04T09:31:36.7556600Z 
2025-12-04T09:31:36.7556739Z 2) create_local_plan - called on all ranks.
2025-12-04T09:31:36.7557276Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:31:36.7557690Z 
2025-12-04T09:31:36.7557875Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:36.7558384Z     Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:31:36.7558705Z 
2025-12-04T09:31:36.7558837Z 4) finish_plan - called on all ranks.
2025-12-04T09:31:36.7559272Z     This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:31:36.7559904Z 
2025-12-04T09:31:36.7560066Z 5) resolve_data - called multiple times on each rank
2025-12-04T09:31:36.7560559Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:31:36.7560887Z 
2025-12-04T09:31:36.7572934Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:31:36.7574207Z most changes can be expressed by changes in a single method.
2025-12-04T09:31:36.7574539Z 
2025-12-04T09:31:36.7574675Z There are 3 usual patterns of extension:
2025-12-04T09:31:36.7574913Z 
2025-12-04T09:31:36.7575194Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:31:36.7575818Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:31:36.7576170Z 
2025-12-04T09:31:36.7576289Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:36.7576664Z >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:31:36.7577026Z >>>     def set_up_planner(
2025-12-04T09:31:36.7577497Z >>>         self,
2025-12-04T09:31:36.7577766Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:36.7578138Z >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:31:36.7578483Z >>>         is_coordinator: bool,
2025-12-04T09:31:36.7578795Z >>>     ) -> None:
2025-12-04T09:31:36.7579060Z >>> # prefix all keys with `foo_``
2025-12-04T09:31:36.7579566Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:31:36.7579995Z 
2025-12-04T09:31:36.7580337Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:31:36.7580812Z 
2025-12-04T09:31:36.7580930Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:36.7581300Z >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:31:36.7581644Z >>>     def create_local_plan(self):
2025-12-04T09:31:36.7581987Z >>>         plan = super().create_local_plan()
2025-12-04T09:31:36.7582332Z >>>         for p in plan:
2025-12-04T09:31:36.7582637Z >>>             if p.tensor_data is not None:
2025-12-04T09:31:36.7583245Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:31:36.7583637Z >>>         return plan
2025-12-04T09:31:36.7583895Z >>>
2025-12-04T09:31:36.7584120Z >>>     def resolve_data(self, write_item):
2025-12-04T09:31:36.7584484Z >>>         item = super().resolve_data(write_item)
2025-12-04T09:31:36.7585022Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:31:36.7585422Z 
2025-12-04T09:31:36.7585776Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:31:36.7586260Z 
2025-12-04T09:31:36.7586376Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:36.7586724Z >>> from itertools import zip_longest
2025-12-04T09:31:36.7587063Z >>> from dataclasses import replace
2025-12-04T09:31:36.7587446Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:31:36.7588083Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:31:36.7588631Z >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:31:36.7589019Z >>>     def create_global_plan(self, all_plans):
2025-12-04T09:31:36.7589416Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:31:36.7589802Z >>>         items_per_rank = [
2025-12-04T09:31:36.7590144Z >>>             [item for item in items if item is not None]
2025-12-04T09:31:36.7590559Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:31:36.7590933Z >>>         ]
2025-12-04T09:31:36.7591171Z >>>         all_plans = [
2025-12-04T09:31:36.7591471Z >>>             replace(plan, items=items)
2025-12-04T09:31:36.7591891Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:31:36.7592303Z >>>         ]
2025-12-04T09:31:36.7592588Z >>>         return super().create_global_plan(all_plans)
2025-12-04T09:31:36.7592934Z 
2025-12-04T09:31:36.7593215Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:31:36.7593906Z accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:31:36.7594431Z the global planner aggregate them:
2025-12-04T09:31:36.7594645Z 
2025-12-04T09:31:36.7594777Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:36.7595155Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:31:36.7595569Z >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:31:36.7595942Z >>>         plan = super().create_local_plan()
2025-12-04T09:31:36.7596340Z >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:31:36.7596719Z >>>
2025-12-04T09:31:36.7597148Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:31:36.7597771Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:31:36.7598271Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:31:36.7598750Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:31:36.7599166Z >>>         return global_plan, metadata
2025-12-04T09:31:36.7599386Z 
2025-12-04T09:31:36.7599927Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:31:36.7600593Z 
2025-12-04T09:31:36.7600681Z _._ = None
2025-12-04T09:31:36.7600899Z ^
2025-12-04T09:31:36.7601639Z 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.
2025-12-04T09:31:36.7602614Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:36.7603003Z 
2025-12-04T09:31:36.7603296Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:31:36.7603714Z 
2025-12-04T09:31:36.7604023Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:31:36.7604527Z 
2025-12-04T09:31:36.7604832Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:36.7605353Z will be visible to the whole process.
2025-12-04T09:31:36.7605585Z 
2025-12-04T09:31:36.7605867Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:31:36.7606276Z 
2025-12-04T09:31:36.7606414Z 1) set_up_planner - called on all ranks.
2025-12-04T09:31:36.7606772Z     Signals the start of loading a checkpoint.
2025-12-04T09:31:36.7607028Z 
2025-12-04T09:31:36.7607516Z 2) create_local_plan - called on all ranks.
2025-12-04T09:31:36.7608057Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:31:36.7608538Z 
2025-12-04T09:31:36.7608745Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:36.7609243Z     Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:31:36.7609585Z 
2025-12-04T09:31:36.7609739Z 4) load_bytes - called multiple times on each rank
2025-12-04T09:31:36.7610181Z     This is called once per non-tensor value in state_dict.
2025-12-04T09:31:36.7610468Z 
2025-12-04T09:31:36.7610712Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:31:36.7611243Z     They are called in pair for each Tensor value in state_dict.
2025-12-04T09:31:36.7611559Z 
2025-12-04T09:31:36.7611871Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:31:36.7612504Z most changes can be expressed by changes in a single method.
2025-12-04T09:31:36.7612806Z 
2025-12-04T09:31:36.7612956Z There are two usual patterns of extension:
2025-12-04T09:31:36.7613198Z 
2025-12-04T09:31:36.7613457Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:31:36.7614112Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:31:36.7614876Z to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:31:36.7615354Z we need to be able to perform it in place
2025-12-04T09:31:36.7615604Z 
2025-12-04T09:31:36.7615722Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:36.7616092Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:31:36.7616454Z >>>     def set_up_planner(
2025-12-04T09:31:36.7616721Z >>>         self,
2025-12-04T09:31:36.7616983Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:36.7617319Z >>>         metadata: Metadata,
2025-12-04T09:31:36.7617618Z >>>         is_coordinator: bool,
2025-12-04T09:31:36.7617918Z >>>     ) -> None:
2025-12-04T09:31:36.7618203Z >>>         self.original_state_dict = state_dict
2025-12-04T09:31:36.7618626Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:31:36.7619018Z >>>
2025-12-04T09:31:36.7619265Z >>>         if self.flatten_sharded_tensors:
2025-12-04T09:31:36.7619656Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:31:36.7620030Z >>>
2025-12-04T09:31:36.7620267Z >>>         if self.flatten_state_dict:
2025-12-04T09:31:36.7620689Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:31:36.7621078Z >>>
2025-12-04T09:31:36.7621316Z >>>         self.state_dict = state_dict
2025-12-04T09:31:36.7621653Z >>>         self.metadata = metadata
2025-12-04T09:31:36.7621984Z >>>         self.is_coordinator = is_coordinator
2025-12-04T09:31:36.7622318Z >>>
2025-12-04T09:31:36.7622564Z >>>     def load_bytes(self, read_item, value):
2025-12-04T09:31:36.7622902Z >>> # Remove the "foo_" prefix
2025-12-04T09:31:36.7623427Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:31:36.7623873Z 
2025-12-04T09:31:36.7623878Z 
2025-12-04T09:31:36.7624156Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:31:36.7624551Z 
2025-12-04T09:31:36.7624682Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:36.7625166Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:31:36.7625578Z >>>     def resolve_tensor(self, read_item):
2025-12-04T09:31:36.7625961Z >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:31:36.7626360Z >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:31:36.7626717Z >>>
2025-12-04T09:31:36.7626967Z >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:31:36.7627369Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:31:36.7627659Z 
2025-12-04T09:31:36.7628204Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:31:36.7628872Z 
2025-12-04T09:31:36.7628958Z _._ = None
2025-12-04T09:31:36.7629178Z ^
2025-12-04T09:31:37.0796133Z 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.
2025-12-04T09:31:37.0797197Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:37.0797574Z 
2025-12-04T09:31:37.0797794Z ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:31:37.0798326Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:31:37.0798864Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:31:37.0799425Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:31:37.0800000Z is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:31:37.0800422Z follows:
2025-12-04T09:31:37.0800548Z 
2025-12-04T09:31:37.0800696Z     >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:31:37.0801191Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:31:37.0801679Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:31:37.0802390Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:31:37.0802957Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:31:37.0803416Z     >>>     state = fsdp.state_dict()
2025-12-04T09:31:37.0803858Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:31:37.0804452Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:31:37.0805074Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:31:37.0805541Z     >>> if dist.get_rank() == 0:
2025-12-04T09:31:37.0805944Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:31:37.0806408Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:31:37.0806787Z     >>>     model.load_state_dict(state_dict)
2025-12-04T09:31:37.0807578Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:31:37.0808289Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:31:37.0808755Z     >>> fsdp = FSDP(
2025-12-04T09:31:37.0809016Z     ...     model,
2025-12-04T09:31:37.0809306Z     ...     device_id=torch.cuda.current_device(),
2025-12-04T09:31:37.0809677Z     ...     auto_wrap_policy=...,
2025-12-04T09:31:37.0809987Z     ...     sync_module_states=True,
2025-12-04T09:31:37.0810290Z     ... )
2025-12-04T09:31:37.0810642Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:31:37.0810991Z 
2025-12-04T09:31:37.0811084Z Attributes:
2025-12-04T09:31:37.0811437Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:31:37.0811986Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:31:37.0812487Z         ranks save the full state dict. (Default: ``False``)
2025-12-04T09:31:37.0812781Z 
2025-12-04T09:31:37.0813447Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:31:37.0814092Z 
2025-12-04T09:31:37.0814179Z _._ = None
2025-12-04T09:31:37.0814394Z ^
2025-12-04T09:31:39.7016680Z 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.
2025-12-04T09:31:39.7017726Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:39.7018271Z Register a parametrization to a tensor in a module.
2025-12-04T09:31:39.7018551Z 
2025-12-04T09:31:39.7018839Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:31:39.7019541Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:31:39.7020230Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:31:39.7020970Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:31:39.7021428Z 
2025-12-04T09:31:39.7021759Z     The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:31:39.7022447Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:31:39.7022831Z 
2025-12-04T09:31:39.7023092Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:31:39.7023610Z     ``module.parametrizations.weight``.
2025-12-04T09:31:39.7023845Z 
2025-12-04T09:31:39.7023996Z     The original tensor will be accessible under
2025-12-04T09:31:39.7024391Z     ``module.parametrizations.weight.original``.
2025-12-04T09:31:39.7024668Z 
2025-12-04T09:31:39.7024940Z     Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:31:39.7025441Z     on the same attribute.
2025-12-04T09:31:39.7025622Z 
2025-12-04T09:31:39.7025886Z     The training mode of a registered parametrization is updated on registration
2025-12-04T09:31:39.7026690Z     to match the training mode of the host module
2025-12-04T09:31:39.7026955Z 
2025-12-04T09:31:39.7027269Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:31:39.7027845Z     using the context manager :func:`cached`.
2025-12-04T09:31:39.7028083Z 
2025-12-04T09:31:39.7028331Z     A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:31:39.7028713Z 
2025-12-04T09:31:39.7028861Z     .. code-block:: python
2025-12-04T09:31:39.7029054Z 
2025-12-04T09:31:39.7029281Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:31:39.7029625Z 
2025-12-04T09:31:39.7029906Z     This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:31:39.7030508Z     is registered to compute the initial value of the original tensor.
2025-12-04T09:31:39.7031174Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:31:39.7031629Z 
2025-12-04T09:31:39.7031952Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:31:39.7032700Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:31:39.7033120Z 
2025-12-04T09:31:39.7033355Z     It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:31:39.7033968Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:31:39.7034585Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:31:39.7034946Z 
2025-12-04T09:31:39.7035305Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:31:39.7035904Z     with names ``original0``, ``original1``,...
2025-12-04T09:31:39.7036160Z 
2025-12-04T09:31:39.7036254Z     .. note::
2025-12-04T09:31:39.7036392Z 
2025-12-04T09:31:39.7036798Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:31:39.7037365Z         once to perform a number of consistency checks.
2025-12-04T09:31:39.7037901Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:31:39.7038432Z         and nothing will be called otherwise.
2025-12-04T09:31:39.7038669Z 
2025-12-04T09:31:39.7038776Z     .. note::
2025-12-04T09:31:39.7038909Z 
2025-12-04T09:31:39.7039122Z         In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:31:39.7039584Z         ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:31:39.7040138Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:31:39.7040813Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:31:39.7041289Z         to relax this.
2025-12-04T09:31:39.7041464Z 
2025-12-04T09:31:39.7041713Z     .. warning::
2025-12-04T09:31:39.7041858Z 
2025-12-04T09:31:39.7042166Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:31:39.7042839Z         will register a number of new parameters. If such parametrization is registered
2025-12-04T09:31:39.7043522Z         after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:31:39.7044139Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:31:39.7044465Z 
2025-12-04T09:31:39.7044567Z     Args:
2025-12-04T09:31:39.7044907Z         module (nn.Module): module on which to register the parametrization
2025-12-04T09:31:39.7045477Z         tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:31:39.7045932Z             the parametrization
2025-12-04T09:31:39.7046332Z         parametrization (nn.Module): the parametrization to register
2025-12-04T09:31:39.7046760Z     Keyword args:
2025-12-04T09:31:39.7047263Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:31:39.7047825Z             may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:31:39.7048506Z             Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:31:39.7049037Z             Enable this flag at your own risk.
2025-12-04T09:31:39.7049271Z 
2025-12-04T09:31:39.7049372Z     Raises:
2025-12-04T09:31:39.7049793Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:31:39.7050224Z 
2025-12-04T09:31:39.7050313Z     Examples:
2025-12-04T09:31:39.7050612Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:31:39.7050986Z         >>> import torch
2025-12-04T09:31:39.7051261Z         >>> import torch.nn as nn
2025-12-04T09:31:39.7051609Z         >>> import torch.nn.utils.parametrize as P
2025-12-04T09:31:39.7051958Z         >>>
2025-12-04T09:31:39.7052202Z         >>> class Symmetric(nn.Module):
2025-12-04T09:31:39.7052545Z         >>>     def forward(self, X):
2025-12-04T09:31:39.7052953Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:31:39.7053342Z         >>>
2025-12-04T09:31:39.7053591Z         >>>     def right_inverse(self, A):
2025-12-04T09:31:39.7053926Z         >>>         return A.triu()
2025-12-04T09:31:39.7054222Z         >>>
2025-12-04T09:31:39.7054441Z         >>> m = nn.Linear(5, 5)
2025-12-04T09:31:39.7054811Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:31:39.7055360Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:31:39.7055813Z         True
2025-12-04T09:31:39.7056061Z         >>> A = torch.rand(5, 5)
2025-12-04T09:31:39.7056384Z         >>> A = A + A.T  # A is now symmetric
2025-12-04T09:31:39.7056811Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:31:39.7057270Z         >>> print(torch.allclose(m.weight, A))
2025-12-04T09:31:39.7057606Z         True
2025-12-04T09:31:39.7057826Z 
2025-12-04T09:31:39.7057939Z         >>> class RankOne(nn.Module):
2025-12-04T09:31:39.7058275Z         >>>     def forward(self, x, y):
2025-12-04T09:31:39.7058654Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:31:39.7059068Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:31:39.7059401Z         >>>
2025-12-04T09:31:39.7059650Z         >>>     def right_inverse(self, Z):
2025-12-04T09:31:39.7060005Z         >>> # Project Z onto the rank 1 matrices
2025-12-04T09:31:39.7060394Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:31:39.7060804Z         >>> # Return rescaled singular vectors
2025-12-04T09:31:39.7061170Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:31:39.7061556Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:31:39.7061923Z         >>>
2025-12-04T09:31:39.7062212Z         >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:31:39.7062618Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:31:39.7062938Z         ... )
2025-12-04T09:31:39.7063286Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:31:39.7063705Z         1
2025-12-04T09:31:39.7063829Z 
2025-12-04T09:31:39.7063912Z     
2025-12-04T09:31:39.7064578Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:31:39.7065230Z 
2025-12-04T09:31:39.7065327Z _._ = None
2025-12-04T09:31:39.7065528Z ^
2025-12-04T09:31:39.8194066Z 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.
2025-12-04T09:31:39.8195043Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:39.8195616Z Reduce learning rate when a metric has stopped improving.
2025-12-04T09:31:39.8196189Z 
2025-12-04T09:31:39.8196423Z     Models often benefit from reducing the learning rate by a factor
2025-12-04T09:31:39.8196938Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:31:39.8197460Z     quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:31:39.8197909Z     of epochs, the learning rate is reduced.
2025-12-04T09:31:39.8198145Z 
2025-12-04T09:31:39.8198231Z     Args:
2025-12-04T09:31:39.8198502Z         optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:31:39.8198920Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:31:39.8199365Z             be reduced when the quantity monitored has stopped
2025-12-04T09:31:39.8199801Z             decreasing; in `max` mode it will be reduced when the
2025-12-04T09:31:39.8200292Z             quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:31:39.8200794Z         factor (float): Factor by which the learning rate will be
2025-12-04T09:31:39.8201244Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:31:39.8201731Z         patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:31:39.8202220Z             which the learning rate will be reduced.
2025-12-04T09:31:39.8202712Z             For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:31:39.8203437Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:31:39.8204143Z             In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:31:39.8204639Z             we have what is considered an intolerable epoch.
2025-12-04T09:31:39.8205177Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:31:39.8205755Z             the learning rate is reduced at the end of this epoch.
2025-12-04T09:31:39.8206487Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:31:39.8207582Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:31:39.8208147Z             the learning rate is not adjusted.
2025-12-04T09:31:39.8208570Z             Default: 10.
2025-12-04T09:31:39.8208946Z         threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:31:39.8209416Z             to only focus on significant changes. Default: 1e-4.
2025-12-04T09:31:39.8209889Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:31:39.8210360Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:31:39.8210800Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:31:39.8211223Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:31:39.8211694Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:31:39.8212198Z         cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:31:39.8212666Z             normal operation after lr has been reduced. Default: 0.
2025-12-04T09:31:39.8213142Z         min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:31:39.8213599Z             lower bound on the learning rate of all param groups
2025-12-04T09:31:39.8214026Z             or each group respectively. Default: 0.
2025-12-04T09:31:39.8214454Z         eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:31:39.8214947Z             between new and old lr is smaller than eps, the update is
2025-12-04T09:31:39.8215368Z             ignored. Default: 1e-8.
2025-12-04T09:31:39.8215576Z 
2025-12-04T09:31:39.8215665Z     Example:
2025-12-04T09:31:39.8215906Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:39.8216334Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:31:39.8216879Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:31:39.8217384Z         >>> for epoch in range(10):
2025-12-04T09:31:39.8217695Z         >>>     train(...)
2025-12-04T09:31:39.8217984Z         >>>     val_loss = validate(...)
2025-12-04T09:31:39.8218353Z         >>> # Note that step should be called after validate()
2025-12-04T09:31:39.8218746Z         >>>     scheduler.step(val_loss)
2025-12-04T09:31:39.8218967Z 
2025-12-04T09:31:39.8219223Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:31:39.8219617Z     
2025-12-04T09:31:39.8220181Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:31:39.8220721Z 
2025-12-04T09:31:39.8220831Z     scheduler.step(val_loss)
2025-12-04T09:31:39.8221114Z    ^
2025-12-04T09:31:43.7691364Z running 894 test(s)
2025-12-04T09:31:43.7697363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file
2025-12-04T09:31:43.7762009Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-12-04T09:31:43.7763145Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file
2025-12-04T09:31:43.7767748Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-12-04T09:31:43.7768973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file
2025-12-04T09:31:43.7777424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0
2025-12-04T09:31:43.7778761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file
2025-12-04T09:31:43.7781087Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-12-04T09:31:43.7782937Z * 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
2025-12-04T09:31:43.7784238Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-12-04T09:31:43.7785917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file
2025-12-04T09:31:43.7787477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-12-04T09:31:43.7789676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file
2025-12-04T09:31:43.7791037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-12-04T09:31:43.7792391Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file
2025-12-04T09:31:43.7794007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-12-04T09:31:43.7795808Z * 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
2025-12-04T09:31:43.7797479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-12-04T09:31:43.7799691Z * 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
2025-12-04T09:31:43.7801088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-12-04T09:31:43.7802600Z * 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
2025-12-04T09:31:43.7804024Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-12-04T09:31:43.7805286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-12-04T09:31:43.7806447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-12-04T09:31:43.7807879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-12-04T09:31:43.7809100Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-12-04T09:31:43.7810273Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-12-04T09:31:43.8359551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-12-04T09:31:43.8361200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-12-04T09:31:43.8362549Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-12-04T09:31:43.8363813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-12-04T09:31:43.8579832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-12-04T09:31:43.8581403Z * 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
2025-12-04T09:31:43.9074787Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-12-04T09:31:43.9076146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-12-04T09:31:43.9379807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-12-04T09:31:43.9384850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-12-04T09:31:43.9396071Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-12-04T09:31:43.9397276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-12-04T09:31:43.9405850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-12-04T09:31:43.9407334Z * 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
2025-12-04T09:31:43.9603641Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-12-04T09:31:43.9640130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-12-04T09:31:43.9641645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-12-04T09:31:43.9643176Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-12-04T09:31:43.9680981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-12-04T09:31:43.9682540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-12-04T09:31:43.9717274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-12-04T09:31:43.9718512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-12-04T09:31:43.9722862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-12-04T09:31:43.9724057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-12-04T09:31:43.9755221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-12-04T09:31:43.9756352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-12-04T09:31:43.9829293Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-12-04T09:31:43.9830446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-12-04T09:31:43.9899109Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-12-04T09:31:43.9900290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-12-04T09:31:44.0046451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-12-04T09:31:44.0047729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-12-04T09:31:44.0061764Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-12-04T09:31:44.0063013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-12-04T09:31:44.0158789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-12-04T09:31:44.0159987Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-12-04T09:31:44.0169527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-12-04T09:31:44.0170738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-12-04T09:31:44.0195910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-12-04T09:31:44.0197054Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-12-04T09:31:44.0225942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-12-04T09:31:44.0227105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-12-04T09:31:44.0255353Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-12-04T09:31:44.0256852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-12-04T09:31:44.0283901Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-12-04T09:31:44.0285080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-12-04T09:31:44.0314110Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-12-04T09:31:44.0315265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-12-04T09:31:44.0377387Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-12-04T09:31:44.0378584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-12-04T09:31:44.0422974Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-12-04T09:31:44.0424545Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-12-04T09:31:44.0425768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-12-04T09:31:44.0427216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-12-04T09:31:44.0429016Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-12-04T09:31:44.0430300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-12-04T09:31:44.0431803Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-12-04T09:31:44.0432858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-12-04T09:31:44.0433925Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-12-04T09:31:44.0434955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-12-04T09:31:44.0436007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-12-04T09:31:44.0437330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-12-04T09:31:44.0438439Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-12-04T09:31:44.0439592Z * 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
2025-12-04T09:31:44.0440785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-12-04T09:31:44.0441983Z * 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
2025-12-04T09:31:44.0443206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-12-04T09:31:44.0444408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file
2025-12-04T09:31:44.0445606Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-12-04T09:31:44.0447152Z * 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
2025-12-04T09:31:44.0449167Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-12-04T09:31:44.0450437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file
2025-12-04T09:31:44.0454925Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-12-04T09:31:44.0456064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file
2025-12-04T09:31:44.0560764Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-12-04T09:31:44.0561839Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file
2025-12-04T09:31:44.0584547Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-12-04T09:31:44.0585901Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file
2025-12-04T09:31:44.0587119Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-12-04T09:31:44.0588298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file
2025-12-04T09:31:44.0589518Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-12-04T09:31:44.0590724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file
2025-12-04T09:31:44.0930885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-12-04T09:31:44.0932136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file
2025-12-04T09:31:44.1088312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-12-04T09:31:44.1089544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file
2025-12-04T09:31:44.1396547Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-12-04T09:31:44.1397752Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file
2025-12-04T09:31:44.1398895Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-12-04T09:31:44.1400126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file
2025-12-04T09:31:44.1408306Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-12-04T09:31:44.1409579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file
2025-12-04T09:31:44.1453486Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-12-04T09:31:44.1454735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file
2025-12-04T09:31:44.1458403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-12-04T09:31:44.1459932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file
2025-12-04T09:31:44.1462807Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-12-04T09:31:44.1464116Z * 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
2025-12-04T09:31:44.1502534Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-12-04T09:31:44.1503810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file
2025-12-04T09:31:44.1514760Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-12-04T09:31:44.1516158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-12-04T09:31:44.1517525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-12-04T09:31:44.1518915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-12-04T09:31:44.1520217Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-12-04T09:31:44.1521617Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-12-04T09:31:44.1522869Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-12-04T09:31:44.1524237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-12-04T09:31:44.1525456Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-12-04T09:31:44.1526685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-12-04T09:31:44.1528913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-12-04T09:31:44.1530207Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-12-04T09:31:44.1531394Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-12-04T09:31:44.1532582Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-12-04T09:31:44.1534713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-12-04T09:31:44.1535933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-12-04T09:31:44.1537211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-12-04T09:31:44.1538791Z * 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
2025-12-04T09:31:44.1540151Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-12-04T09:31:44.1541439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file
2025-12-04T09:31:44.1557040Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-12-04T09:31:44.1558464Z * 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
2025-12-04T09:31:44.1563926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-12-04T09:31:44.1565408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file
2025-12-04T09:31:44.1576311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-12-04T09:31:44.1578162Z * 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
2025-12-04T09:31:44.1579612Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0
2025-12-04T09:31:44.1580958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file
2025-12-04T09:31:44.1582282Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-12-04T09:31:44.1583569Z * 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
2025-12-04T09:31:44.1584869Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-12-04T09:31:44.1586487Z * 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
2025-12-04T09:31:44.4461218Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-12-04T09:31:44.4462551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file
2025-12-04T09:31:44.4463810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-12-04T09:31:44.4465217Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file
2025-12-04T09:31:44.4466512Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-12-04T09:31:44.4467819Z * 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
2025-12-04T09:31:44.4470605Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-12-04T09:31:44.4471897Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file
2025-12-04T09:31:44.4474956Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-12-04T09:31:44.4476434Z * 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
2025-12-04T09:31:44.4478215Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-12-04T09:31:44.4479940Z * 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
2025-12-04T09:31:44.4481595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-12-04T09:31:44.4483040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-12-04T09:31:44.4484443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-12-04T09:31:44.4485768Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-12-04T09:31:44.4487099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-12-04T09:31:44.4488761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file
2025-12-04T09:31:44.4489953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-12-04T09:31:44.4491180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file
2025-12-04T09:31:44.4492496Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-12-04T09:31:44.4493753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-12-04T09:31:44.4494999Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-12-04T09:31:44.4496458Z * 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
2025-12-04T09:31:44.4497845Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-12-04T09:31:44.4499160Z * 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
2025-12-04T09:31:44.4500473Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-12-04T09:31:44.4501764Z * 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
2025-12-04T09:31:44.4503084Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-12-04T09:31:44.4504386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-12-04T09:31:44.4505616Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-12-04T09:31:44.4506988Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-12-04T09:31:44.4510585Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-12-04T09:31:44.4511871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-12-04T09:31:44.4513294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-12-04T09:31:44.4514587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-12-04T09:31:44.4516013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-12-04T09:31:44.4517248Z * 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
2025-12-04T09:31:44.4594519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-12-04T09:31:44.4596082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-12-04T09:31:44.4600977Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-12-04T09:31:44.4602491Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-12-04T09:31:44.4689190Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-12-04T09:31:44.4690810Z * 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
2025-12-04T09:31:44.4697156Z W1204 09:31:44.469000 1827 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.
2025-12-04T09:31:44.4727963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-12-04T09:31:44.4729580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-12-04T09:31:44.4787263Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-12-04T09:31:44.4788503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-12-04T09:31:44.4834264Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-12-04T09:31:44.4835918Z * 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
2025-12-04T09:31:44.5199520Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-12-04T09:31:44.5201103Z * 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
2025-12-04T09:31:44.5297161Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-12-04T09:31:44.5298810Z * 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
2025-12-04T09:31:44.5301599Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-12-04T09:31:44.5303377Z * 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
2025-12-04T09:31:44.5305258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-12-04T09:31:44.5307542Z * 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
2025-12-04T09:31:44.5310066Z * 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
2025-12-04T09:31:44.5312053Z * 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
2025-12-04T09:31:44.5313891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-12-04T09:31:44.5315840Z * 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
2025-12-04T09:31:44.5317886Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-12-04T09:31:44.5319742Z * 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
2025-12-04T09:31:44.5321505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-12-04T09:31:44.5323184Z * 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
2025-12-04T09:31:44.5711209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-12-04T09:31:44.5712609Z * 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
2025-12-04T09:31:44.5725932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-12-04T09:31:44.5727341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-12-04T09:31:44.5833875Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-12-04T09:31:44.5835177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-12-04T09:31:44.5956245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-12-04T09:31:44.5957551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-12-04T09:31:44.8691361Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-12-04T09:31:44.8692690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-12-04T09:31:44.8769238Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-12-04T09:31:44.8770546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-12-04T09:31:44.8792474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-12-04T09:31:44.8793838Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-12-04T09:31:44.8798382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-12-04T09:31:44.8799751Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-12-04T09:31:44.9010346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-12-04T09:31:44.9011704Z * 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
2025-12-04T09:31:44.9016653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-12-04T09:31:44.9018303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-12-04T09:31:44.9019929Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-12-04T09:31:44.9021485Z * 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
2025-12-04T09:31:44.9023351Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-12-04T09:31:44.9025061Z * 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
2025-12-04T09:31:44.9026664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-12-04T09:31:44.9028340Z * 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
2025-12-04T09:31:44.9030124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-12-04T09:31:44.9031756Z * 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
2025-12-04T09:31:44.9033700Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-12-04T09:31:44.9035434Z * 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
2025-12-04T09:31:44.9036924Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-12-04T09:31:44.9039263Z * 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
2025-12-04T09:31:44.9040899Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-12-04T09:31:44.9042658Z * 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
2025-12-04T09:31:44.9044284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-12-04T09:31:44.9046331Z * 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
2025-12-04T09:31:44.9048374Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-12-04T09:31:44.9049937Z * 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
2025-12-04T09:31:44.9051178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-12-04T09:31:44.9052459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-12-04T09:31:44.9053805Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-12-04T09:31:44.9055233Z * 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
2025-12-04T09:31:44.9056787Z * 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
2025-12-04T09:31:44.9058276Z * 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
2025-12-04T09:31:44.9059723Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-12-04T09:31:44.9061138Z * 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
2025-12-04T09:31:44.9062578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0
2025-12-04T09:31:44.9063969Z * 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
2025-12-04T09:31:44.9065456Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-12-04T09:31:44.9066900Z * 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
2025-12-04T09:31:44.9068448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-12-04T09:31:44.9069973Z * 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
2025-12-04T09:31:44.9071539Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-12-04T09:31:44.9073111Z * 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
2025-12-04T09:31:44.9074735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-12-04T09:31:44.9076315Z * 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
2025-12-04T09:31:44.9077877Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-12-04T09:31:44.9079458Z * 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
2025-12-04T09:31:44.9081089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-12-04T09:31:44.9082788Z * 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
2025-12-04T09:31:44.9084443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-12-04T09:31:44.9085858Z * 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
2025-12-04T09:31:44.9513486Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-12-04T09:31:44.9514877Z * 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
2025-12-04T09:31:44.9629771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-12-04T09:31:44.9631215Z * 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
2025-12-04T09:31:44.9632674Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-12-04T09:31:44.9634126Z * 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
2025-12-04T09:31:44.9859502Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-12-04T09:31:44.9861258Z * 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
2025-12-04T09:31:45.0084591Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-12-04T09:31:45.0086482Z * 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
2025-12-04T09:31:45.0088003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-12-04T09:31:45.0089539Z * 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
2025-12-04T09:31:45.0091008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-12-04T09:31:45.0092450Z * 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
2025-12-04T09:31:45.0192274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-12-04T09:31:45.0193671Z * 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
2025-12-04T09:31:45.0202839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-12-04T09:31:45.0204338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-12-04T09:31:45.0205725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-12-04T09:31:45.0207605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-12-04T09:31:45.0208957Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-12-04T09:31:45.0210179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-12-04T09:31:45.0211416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-12-04T09:31:45.0212680Z * 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
2025-12-04T09:31:45.0249999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-12-04T09:31:45.0251355Z * 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
2025-12-04T09:31:45.0252708Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-12-04T09:31:45.0254046Z * 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
2025-12-04T09:31:45.0320778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-12-04T09:31:45.0322133Z * 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
2025-12-04T09:31:45.0325177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-12-04T09:31:45.0326688Z * 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
2025-12-04T09:31:45.0421440Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-12-04T09:31:45.0422824Z * 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
2025-12-04T09:31:45.0486293Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-12-04T09:31:45.0487671Z * 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
2025-12-04T09:31:45.0545289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-12-04T09:31:45.0546660Z * 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
2025-12-04T09:31:45.0548043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-12-04T09:31:45.0549376Z * 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
2025-12-04T09:31:45.0602757Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-12-04T09:31:45.0604152Z * 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
2025-12-04T09:31:45.0608524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-12-04T09:31:45.0610125Z * 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
2025-12-04T09:31:45.0614451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-12-04T09:31:45.0615795Z * 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
2025-12-04T09:31:45.0617067Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-12-04T09:31:45.0618337Z * 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
2025-12-04T09:31:45.0622067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-12-04T09:31:45.0623421Z * 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
2025-12-04T09:31:45.0625825Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-12-04T09:31:45.0627420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-12-04T09:31:45.0629214Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-12-04T09:31:45.0630879Z * 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
2025-12-04T09:31:45.0633120Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0
2025-12-04T09:31:45.0634769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-12-04T09:31:45.0636305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-12-04T09:31:45.0637698Z * 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
2025-12-04T09:31:45.0639253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:31:45.0640878Z * 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
2025-12-04T09:31:45.0642635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:31:45.0644266Z * 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
2025-12-04T09:31:45.0645903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:31:45.0647535Z * 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
2025-12-04T09:31:45.0649322Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-12-04T09:31:45.0651071Z * 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
2025-12-04T09:31:45.0652713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-12-04T09:31:45.0654196Z * 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
2025-12-04T09:31:45.0753324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-12-04T09:31:45.0755014Z * 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
2025-12-04T09:31:45.0789965Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-12-04T09:31:45.0792911Z * 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
2025-12-04T09:31:45.0794693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-12-04T09:31:45.0796178Z * 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
2025-12-04T09:31:45.0797530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-12-04T09:31:45.0798844Z * 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
2025-12-04T09:31:45.0800186Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-12-04T09:31:45.0801935Z * 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
2025-12-04T09:31:45.0803402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-12-04T09:31:45.0804793Z * 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
2025-12-04T09:31:45.0810057Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-12-04T09:31:45.0811901Z * 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
2025-12-04T09:31:45.0813702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-12-04T09:31:45.0815399Z * 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
2025-12-04T09:31:45.0817121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-12-04T09:31:45.0819048Z * 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
2025-12-04T09:31:45.0821184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-12-04T09:31:45.0822936Z * 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
2025-12-04T09:31:45.0824690Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:31:45.0826244Z * 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
2025-12-04T09:31:45.0828346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:31:45.0830397Z * 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
2025-12-04T09:31:45.0832240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:31:45.0833993Z * 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
2025-12-04T09:31:45.0835761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-12-04T09:31:45.0837193Z * 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
2025-12-04T09:31:45.0838623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-12-04T09:31:45.0840006Z * 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
2025-12-04T09:31:45.0841431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-12-04T09:31:45.0842973Z * 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
2025-12-04T09:31:45.0844454Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-12-04T09:31:45.0845901Z * 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
2025-12-04T09:31:45.0847375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-12-04T09:31:45.0848898Z * 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
2025-12-04T09:31:45.0850376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-12-04T09:31:45.0851805Z * 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
2025-12-04T09:31:45.0853245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-12-04T09:31:45.0854627Z * 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
2025-12-04T09:31:45.0856696Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-12-04T09:31:45.0858381Z * 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
2025-12-04T09:31:45.0860099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-12-04T09:31:45.0861875Z * 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
2025-12-04T09:31:45.0863604Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-12-04T09:31:45.0865364Z * 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
2025-12-04T09:31:45.0867230Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:31:45.0869054Z * 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
2025-12-04T09:31:45.0870936Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:31:45.0872776Z * 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
2025-12-04T09:31:45.0874640Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:31:45.0876478Z * 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
2025-12-04T09:31:45.0939032Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-12-04T09:31:45.0941011Z * 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
2025-12-04T09:31:45.0951835Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-12-04T09:31:45.0953897Z * 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
2025-12-04T09:31:45.0957947Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-12-04T09:31:45.0960155Z * 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
2025-12-04T09:31:45.0962258Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-12-04T09:31:45.0964160Z * 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
2025-12-04T09:31:45.0965974Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-12-04T09:31:45.0967673Z * 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
2025-12-04T09:31:45.0969454Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-12-04T09:31:45.0971583Z * 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
2025-12-04T09:31:45.1014518Z * 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
2025-12-04T09:31:45.1017058Z * 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
2025-12-04T09:31:45.1019372Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-12-04T09:31:45.1021412Z * 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
2025-12-04T09:31:45.1023287Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-12-04T09:31:45.1025169Z * 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
2025-12-04T09:31:45.1027139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-12-04T09:31:45.1029130Z * 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
2025-12-04T09:31:45.1031265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-12-04T09:31:45.1033167Z * 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
2025-12-04T09:31:45.1034947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-12-04T09:31:45.1036883Z * 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
2025-12-04T09:31:45.1040252Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-12-04T09:31:45.1042135Z * 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
2025-12-04T09:31:45.1048951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-12-04T09:31:45.1050878Z * 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
2025-12-04T09:31:45.1056091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-12-04T09:31:45.1058053Z * 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
2025-12-04T09:31:45.1063686Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-12-04T09:31:45.1065553Z * 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
2025-12-04T09:31:45.1067284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-12-04T09:31:45.1069043Z * 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
2025-12-04T09:31:45.1070878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-12-04T09:31:45.1072717Z * 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
2025-12-04T09:31:45.1074415Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-12-04T09:31:45.1076111Z * 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
2025-12-04T09:31:45.1077844Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-12-04T09:31:45.1079591Z * 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
2025-12-04T09:31:45.1081401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-12-04T09:31:45.1082915Z * 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
2025-12-04T09:31:45.1084311Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-12-04T09:31:45.1085742Z * 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
2025-12-04T09:31:45.1087283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-12-04T09:31:45.1088944Z * 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
2025-12-04T09:31:45.1090706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-12-04T09:31:45.1092233Z * 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
2025-12-04T09:31:45.1093661Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-12-04T09:31:45.1095087Z * 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
2025-12-04T09:31:45.1096570Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-12-04T09:31:45.1098003Z * 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
2025-12-04T09:31:45.1099432Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-12-04T09:31:45.1100819Z * 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
2025-12-04T09:31:45.1102222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-12-04T09:31:45.1103588Z * 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
2025-12-04T09:31:45.1104996Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-12-04T09:31:45.1106450Z * 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
2025-12-04T09:31:45.1108135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-12-04T09:31:45.1109539Z * 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
2025-12-04T09:31:45.1110948Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-12-04T09:31:45.1112458Z * 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
2025-12-04T09:31:45.1113852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-12-04T09:31:45.1115212Z * 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
2025-12-04T09:31:45.1116587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-12-04T09:31:45.1118063Z * 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
2025-12-04T09:31:45.1119660Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-12-04T09:31:45.1121254Z * 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
2025-12-04T09:31:45.1123036Z * 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
2025-12-04T09:31:45.1124632Z * 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
2025-12-04T09:31:45.1126241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-12-04T09:31:45.1128045Z * 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
2025-12-04T09:31:45.1130233Z * 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
2025-12-04T09:31:45.1132298Z * 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
2025-12-04T09:31:45.1134423Z * 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
2025-12-04T09:31:45.1136495Z * 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
2025-12-04T09:31:45.1138596Z * 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
2025-12-04T09:31:45.1140691Z * 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
2025-12-04T09:31:45.1143020Z * 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
2025-12-04T09:31:45.1144870Z * 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
2025-12-04T09:31:45.1146525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-12-04T09:31:45.1148127Z * 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
2025-12-04T09:31:45.1149767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-12-04T09:31:45.1151348Z * 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
2025-12-04T09:31:45.1152947Z * 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
2025-12-04T09:31:45.1154573Z * 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
2025-12-04T09:31:45.1156247Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-12-04T09:31:45.1157791Z * 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
2025-12-04T09:31:45.1159137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-12-04T09:31:45.1160411Z * 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
2025-12-04T09:31:45.1161655Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-12-04T09:31:45.1162901Z * 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
2025-12-04T09:31:45.1164201Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-12-04T09:31:45.1165470Z * 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
2025-12-04T09:31:45.1166737Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-12-04T09:31:45.1168073Z * 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
2025-12-04T09:31:45.1169667Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-12-04T09:31:45.1171115Z * 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
2025-12-04T09:31:45.1172582Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-12-04T09:31:45.1174060Z * 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
2025-12-04T09:31:45.1175466Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-12-04T09:31:45.1176924Z * 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
2025-12-04T09:31:45.1178465Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-12-04T09:31:45.1179978Z * 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
2025-12-04T09:31:45.1181494Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-12-04T09:31:45.1182857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-12-04T09:31:45.1184096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-12-04T09:31:45.1185309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-12-04T09:31:45.1186522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-12-04T09:31:45.1187717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-12-04T09:31:45.1188931Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-12-04T09:31:45.1190264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-12-04T09:31:45.1191535Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-12-04T09:31:45.1192774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-12-04T09:31:45.1194037Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-12-04T09:31:45.1195265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-12-04T09:31:45.1196489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-12-04T09:31:45.1197682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-12-04T09:31:45.1198906Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-12-04T09:31:45.1200101Z * 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
2025-12-04T09:31:45.1201332Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-12-04T09:31:45.1202560Z * 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
2025-12-04T09:31:45.1203826Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-12-04T09:31:45.1205097Z * 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
2025-12-04T09:31:45.1206495Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-12-04T09:31:45.1208051Z * 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
2025-12-04T09:31:45.1209439Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-12-04T09:31:45.1210686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-12-04T09:31:45.1211907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-12-04T09:31:45.1213153Z * 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
2025-12-04T09:31:45.1214473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-12-04T09:31:45.1215785Z * 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
2025-12-04T09:31:45.1231045Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-12-04T09:31:45.1232362Z * 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
2025-12-04T09:31:45.1234871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-12-04T09:31:45.1237790Z * 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
2025-12-04T09:31:45.1240246Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-12-04T09:31:45.1242611Z * 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
2025-12-04T09:31:45.1245316Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-12-04T09:31:45.1247833Z * 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
2025-12-04T09:31:45.1256828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-12-04T09:31:45.1259673Z * 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
2025-12-04T09:31:45.1280551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-12-04T09:31:45.1283333Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-12-04T09:31:45.1285896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-12-04T09:31:45.1288624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-12-04T09:31:45.1291419Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-12-04T09:31:45.1294044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file
2025-12-04T09:31:45.1296937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-12-04T09:31:45.1299463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file
2025-12-04T09:31:45.1302080Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-12-04T09:31:45.1304689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file
2025-12-04T09:31:45.1307684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0
2025-12-04T09:31:45.1310255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file
2025-12-04T09:31:45.1312800Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-12-04T09:31:45.1315346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file
2025-12-04T09:31:45.1317963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-12-04T09:31:45.1320410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file
2025-12-04T09:31:45.1322815Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-12-04T09:31:45.1325202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-12-04T09:31:45.1328002Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-12-04T09:31:45.1330634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file
2025-12-04T09:31:45.1333202Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-12-04T09:31:45.1335694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file
2025-12-04T09:31:45.1338323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-12-04T09:31:45.1341095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file
2025-12-04T09:31:45.1343269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-12-04T09:31:45.1345357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-12-04T09:31:45.1347358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-12-04T09:31:45.1349614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file
2025-12-04T09:31:45.1352374Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0
2025-12-04T09:31:45.1355097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file
2025-12-04T09:31:45.1358266Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0
2025-12-04T09:31:45.1361284Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file
2025-12-04T09:31:45.1364400Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0
2025-12-04T09:31:45.1367299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file
2025-12-04T09:31:45.1370144Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-12-04T09:31:45.1372977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file
2025-12-04T09:31:45.1376110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
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2025-12-04T09:31:45.1713087Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-12-04T09:31:45.1716156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 137 <- wrt source file
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2025-12-04T09:31:45.1763130Z * 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
2025-12-04T09:31:45.1766186Z * 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
2025-12-04T09:31:45.1769527Z * 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
2025-12-04T09:31:45.1772782Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::powerSGD_hook:0
2025-12-04T09:31:45.1775357Z * 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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2025-12-04T09:31:45.1779068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
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2025-12-04T09:31:45.1782973Z * 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
2025-12-04T09:31:45.1786820Z * 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
2025-12-04T09:31:45.1790158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py::PeriodicModelAverager:0, line 56 <- wrt source file
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2025-12-04T09:31:45.1794604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py::HierarchicalModelAverager:0, line 53 <- wrt source file
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2025-12-04T09:31:45.1798575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0, line 49 <- wrt source file
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2025-12-04T09:31:45.1802241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file
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2025-12-04T09:31:45.1805612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file
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2025-12-04T09:31:45.1809601Z * 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
2025-12-04T09:31:45.1811701Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0
2025-12-04T09:31:45.1814702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1531 <- wrt source file
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2025-12-04T09:31:45.1827395Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0, line 131 <- wrt source file
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2025-12-04T09:31:45.1832558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 160 <- wrt source file
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2025-12-04T09:31:45.1836122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 275 <- wrt source file
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2025-12-04T09:31:45.1839307Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file
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2025-12-04T09:31:45.1842699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 78 <- wrt source file
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2025-12-04T09:31:45.1850044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file
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2025-12-04T09:31:45.1853892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file
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2025-12-04T09:31:45.1857504Z * 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
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2025-12-04T09:31:45.1861079Z * 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
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2025-12-04T09:31:45.1867741Z * 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
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2025-12-04T09:31:45.1874083Z * 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
2025-12-04T09:31:45.1877341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-12-04T09:31:45.1880796Z * 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
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2025-12-04T09:31:45.1886955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 140 <- wrt source file
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2025-12-04T09:31:45.1892763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::MixedPrecision:0, line 202 <- wrt source file
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2025-12-04T09:31:45.1898068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
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2025-12-04T09:31:45.1903170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file
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2025-12-04T09:31:45.1910200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file
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2025-12-04T09:31:45.1917654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.state_dict_type:0, line 805 <- wrt source file
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2025-12-04T09:31:45.1947531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0, line 1513 <- wrt source file
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2025-12-04T09:31:45.1955639Z * 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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2025-12-04T09:31:45.1963215Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1718 <- wrt source file
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2025-12-04T09:31:45.1971044Z * 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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2025-12-04T09:31:45.1985411Z * 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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2025-12-04T09:31:45.1990914Z * 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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2025-12-04T09:31:45.1993761Z * 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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2025-12-04T09:31:45.1996904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0, line 196 <- wrt source file
2025-12-04T09:31:45.1998517Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0
2025-12-04T09:31:45.2000518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0, line 527 <- wrt source file
2025-12-04T09:31:45.2003704Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.init_from_module_rref:0
2025-12-04T09:31:45.2006739Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0, line 658 <- wrt source file
2025-12-04T09:31:45.2009816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-12-04T09:31:45.2011878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-12-04T09:31:45.2013690Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-12-04T09:31:45.2015453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
2025-12-04T09:31:45.2017253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0
2025-12-04T09:31:45.2019062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
2025-12-04T09:31:45.2021061Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-12-04T09:31:45.2024041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py::DistributedOptimizer:0, line 161 <- wrt source file
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2025-12-04T09:31:45.2029733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0, line 19 <- wrt source file
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2025-12-04T09:31:45.2036171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
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2025-12-04T09:31:45.2042644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 341 <- wrt source file
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2025-12-04T09:31:45.2049074Z * 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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2025-12-04T09:31:45.2054796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
2025-12-04T09:31:45.2057569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-12-04T09:31:45.2059991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 85 <- wrt source file
2025-12-04T09:31:45.2061740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-12-04T09:31:45.2063437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 104 <- wrt source file
2025-12-04T09:31:45.2065149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-12-04T09:31:45.2066612Z * 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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2025-12-04T09:31:45.2069185Z * 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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2025-12-04T09:31:45.2072078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file
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2025-12-04T09:31:45.2074623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file
2025-12-04T09:31:45.2075923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-12-04T09:31:45.2077201Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
2025-12-04T09:31:45.2078506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-12-04T09:31:45.2080891Z * 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
2025-12-04T09:31:45.2083738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-12-04T09:31:45.2086660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 126 <- wrt source file
2025-12-04T09:31:45.2090039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-12-04T09:31:45.2093493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0, line 62 <- wrt source file
2025-12-04T09:31:45.2096859Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py::_server_process_global_profile:0
2025-12-04T09:31:45.2099951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0, line 887 <- wrt source file
2025-12-04T09:31:45.2102656Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-12-04T09:31:45.2105248Z * 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
2025-12-04T09:31:45.2108072Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
2025-12-04T09:31:45.2109811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0, line 165 <- wrt source file
2025-12-04T09:31:45.2111705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._convert_shard_order_to_StridedShard:0
2025-12-04T09:31:45.2113573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0, line 241 <- wrt source file
2025-12-04T09:31:45.2115496Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec._maybe_convert_StridedShard_to_shard_order:0
2025-12-04T09:31:45.2117484Z * 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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2025-12-04T09:31:45.2121087Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0, line 310 <- wrt source file
2025-12-04T09:31:45.2124018Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-12-04T09:31:45.2127224Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0, line 234 <- wrt source file
2025-12-04T09:31:45.2130109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-12-04T09:31:45.2132959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0, line 103 <- wrt source file
2025-12-04T09:31:45.2136232Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-12-04T09:31:45.2139520Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0, line 46 <- wrt source file
2025-12-04T09:31:45.2142838Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-12-04T09:31:45.2146425Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0, line 30 <- wrt source file
2025-12-04T09:31:45.2150307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_LoadBalancer._generate_indices:0
2025-12-04T09:31:45.2153989Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0, line 102 <- wrt source file
2025-12-04T09:31:45.2157998Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_HeadTailLoadBalancer._generate_indices:0
2025-12-04T09:31:45.2161754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0, line 213 <- wrt source file
2025-12-04T09:31:45.2166183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PerDocumentHeadTailLoadBalancer._generate_indices:0
2025-12-04T09:31:45.2170106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0, line 339 <- wrt source file
2025-12-04T09:31:45.2173628Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer.ptrr_scheduling:0
2025-12-04T09:31:45.2175757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0, line 397 <- wrt source file
2025-12-04T09:31:45.2177891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_context_parallel/_load_balancer.py::_PTRRLoadBalancer._generate_indices:0
2025-12-04T09:31:45.2179856Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0, line 55 <- wrt source file
2025-12-04T09:31:45.2181456Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-12-04T09:31:45.2183200Z * 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
2025-12-04T09:31:45.2184853Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-12-04T09:31:45.2186417Z * 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
2025-12-04T09:31:45.2187940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-12-04T09:31:45.2189487Z * 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
2025-12-04T09:31:45.2191077Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-12-04T09:31:45.2192756Z * 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
2025-12-04T09:31:45.2195481Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-12-04T09:31:45.2197506Z * 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
2025-12-04T09:31:45.2199260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-12-04T09:31:45.2200852Z * 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
2025-12-04T09:31:45.2202487Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-12-04T09:31:45.2204074Z * 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
2025-12-04T09:31:45.2206648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-12-04T09:31:45.2210078Z * 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
2025-12-04T09:31:45.2213256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-12-04T09:31:45.2215988Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-12-04T09:31:45.2218719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-12-04T09:31:45.2221319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-12-04T09:31:45.2223859Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-12-04T09:31:45.2226447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-12-04T09:31:45.2229376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-12-04T09:31:45.2232132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-12-04T09:31:45.2235023Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-12-04T09:31:45.2237713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-12-04T09:31:45.2240330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-12-04T09:31:45.2242816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-12-04T09:31:45.2245276Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-12-04T09:31:45.2247689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-12-04T09:31:45.2250631Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-12-04T09:31:45.2253364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-12-04T09:31:45.2256414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-12-04T09:31:45.2259560Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-12-04T09:31:45.2263168Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-12-04T09:31:45.2266098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-12-04T09:31:45.2268868Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-12-04T09:31:45.2271569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-12-04T09:31:45.2274256Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-12-04T09:31:45.2276819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-12-04T09:31:45.2279624Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-12-04T09:31:45.2282223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-12-04T09:31:45.2284681Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-12-04T09:31:45.2287286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-12-04T09:31:45.2290308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-12-04T09:31:45.2293153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-12-04T09:31:45.2295818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-12-04T09:31:45.2298117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-12-04T09:31:45.2300530Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-12-04T09:31:45.2302990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-12-04T09:31:45.2305619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-12-04T09:31:45.2308546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-12-04T09:31:45.2311258Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-12-04T09:31:45.2313842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-12-04T09:31:45.2316579Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-12-04T09:31:45.2319374Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-12-04T09:31:45.2322202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-12-04T09:31:45.2325212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-12-04T09:31:45.2328013Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-12-04T09:31:45.2330686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-12-04T09:31:45.2333339Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-12-04T09:31:45.2335907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-12-04T09:31:45.2338711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-12-04T09:31:45.2341364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-12-04T09:31:45.2344090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-12-04T09:31:45.2346822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-12-04T09:31:45.2349780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-12-04T09:31:45.2353003Z * 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
2025-12-04T09:31:45.2356422Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-12-04T09:31:45.2359920Z * 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
2025-12-04T09:31:45.2362988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-12-04T09:31:45.2365882Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-12-04T09:31:45.2368838Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-12-04T09:31:45.2371693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-12-04T09:31:45.2374954Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-12-04T09:31:45.2377654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-12-04T09:31:45.2380240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-12-04T09:31:45.2383031Z * 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
2025-12-04T09:31:45.2386064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-12-04T09:31:45.2388822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-12-04T09:31:45.2391454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-12-04T09:31:45.2393973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-12-04T09:31:45.2396569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-12-04T09:31:45.2399336Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-12-04T09:31:45.2402425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-12-04T09:31:45.2405457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-12-04T09:31:45.2409239Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-12-04T09:31:45.2412123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-12-04T09:31:45.2414606Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-12-04T09:31:45.2417274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-12-04T09:31:45.2420069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-12-04T09:31:45.2422826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-12-04T09:31:45.2425937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-12-04T09:31:45.2428985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-12-04T09:31:45.2432254Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-12-04T09:31:45.2435117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-12-04T09:31:45.2437772Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-12-04T09:31:45.2440356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-12-04T09:31:45.2442928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-12-04T09:31:45.2445505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-12-04T09:31:45.2448085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-12-04T09:31:45.2450735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-12-04T09:31:45.2453357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-12-04T09:31:45.2455907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-12-04T09:31:45.2458807Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-12-04T09:31:45.2461425Z * 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
2025-12-04T09:31:45.2464203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-12-04T09:31:45.2466820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-12-04T09:31:45.2469379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-12-04T09:31:45.2472038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
2025-12-04T09:31:45.2474886Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-12-04T09:31:45.2477537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
2025-12-04T09:31:45.2480407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-12-04T09:31:45.2483046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-12-04T09:31:45.2485885Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-12-04T09:31:45.2488450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 104 <- wrt source file
2025-12-04T09:31:45.2490933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-12-04T09:31:45.2493417Z * 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
2025-12-04T09:31:45.2496036Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-12-04T09:31:45.2498576Z * 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
2025-12-04T09:31:45.2501148Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-12-04T09:31:45.2503565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 75 <- wrt source file
2025-12-04T09:31:45.2506114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-12-04T09:31:45.2508815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 519 <- wrt source file
2025-12-04T09:31:45.2511318Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-12-04T09:31:45.2513893Z * 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
2025-12-04T09:31:45.2516686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-12-04T09:31:45.2519098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-12-04T09:31:45.2521660Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-12-04T09:31:45.2524092Z * 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
2025-12-04T09:31:45.2526444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-12-04T09:31:45.2528902Z * 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
2025-12-04T09:31:45.2531324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-12-04T09:31:45.2533667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0, line 300 <- wrt source file
2025-12-04T09:31:45.2536080Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0
2025-12-04T09:31:45.2538455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0, line 344 <- wrt source file
2025-12-04T09:31:45.2540843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-12-04T09:31:45.2543593Z * 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
2025-12-04T09:31:45.2546716Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-12-04T09:31:45.2549602Z * 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
2025-12-04T09:31:45.2552621Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-12-04T09:31:45.2555543Z * 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
2025-12-04T09:31:45.2558667Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-12-04T09:31:45.2561596Z * 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
2025-12-04T09:31:45.2564477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-12-04T09:31:45.2567393Z * 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
2025-12-04T09:31:45.2570381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-12-04T09:31:45.2573292Z * 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
2025-12-04T09:31:45.2576283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-12-04T09:31:45.2579326Z * 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
2025-12-04T09:31:45.2582537Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-12-04T09:31:45.2585679Z * 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
2025-12-04T09:31:45.2589121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-12-04T09:31:45.2592308Z * 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
2025-12-04T09:31:45.2595528Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-12-04T09:31:45.2598638Z * 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
2025-12-04T09:31:45.2601842Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-12-04T09:31:45.2604979Z * 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
2025-12-04T09:31:45.2608589Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-12-04T09:31:45.2611846Z * 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
2025-12-04T09:31:45.2615209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-12-04T09:31:45.2618511Z * 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
2025-12-04T09:31:45.2622160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-12-04T09:31:45.2625350Z * 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
2025-12-04T09:31:45.2628243Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-12-04T09:31:45.2630845Z * 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
2025-12-04T09:31:45.2633803Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-12-04T09:31:45.2636527Z * 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
2025-12-04T09:31:45.2639507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-12-04T09:31:45.2642322Z * 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
2025-12-04T09:31:45.2645407Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-12-04T09:31:45.2647824Z * 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
2025-12-04T09:31:45.2649639Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-12-04T09:31:45.2651415Z * 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
2025-12-04T09:31:45.2653035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-12-04T09:31:45.2654630Z * 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
2025-12-04T09:31:45.2656746Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-12-04T09:31:45.2659468Z * 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
2025-12-04T09:31:45.2662665Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-12-04T09:31:45.2665740Z * 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
2025-12-04T09:31:45.2668734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-12-04T09:31:45.2671694Z * 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
2025-12-04T09:31:45.2674772Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-12-04T09:31:45.2677809Z * 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
2025-12-04T09:31:45.2681124Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-12-04T09:31:45.2684146Z * 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
2025-12-04T09:31:45.2687170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-12-04T09:31:45.2690241Z * 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
2025-12-04T09:31:45.2693388Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-12-04T09:31:45.2696700Z * 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
2025-12-04T09:31:45.2700233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-12-04T09:31:45.2703784Z * 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
2025-12-04T09:31:45.2707763Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-12-04T09:31:45.2711528Z * 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
2025-12-04T09:31:45.2715533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-12-04T09:31:45.2719573Z * 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
2025-12-04T09:31:45.2723364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-12-04T09:31:45.2727163Z * 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
2025-12-04T09:31:45.2731207Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-12-04T09:31:45.2734997Z * 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
2025-12-04T09:31:45.2738762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-12-04T09:31:45.2742340Z * 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
2025-12-04T09:31:45.2745941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-12-04T09:31:45.2749419Z * 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
2025-12-04T09:31:45.2753077Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-12-04T09:31:45.2756563Z * 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
2025-12-04T09:31:45.2760140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-12-04T09:31:45.2763591Z * 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
2025-12-04T09:31:45.2767055Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-12-04T09:31:45.2770573Z * 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
2025-12-04T09:31:45.2774090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-12-04T09:31:45.2777591Z * 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
2025-12-04T09:31:45.2781230Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-12-04T09:31:45.2784580Z * 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
2025-12-04T09:31:45.2786783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-12-04T09:31:45.2788511Z * 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
2025-12-04T09:31:45.2790091Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-12-04T09:31:45.2791491Z * 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
2025-12-04T09:31:45.2792819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-12-04T09:31:45.2794135Z * 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
2025-12-04T09:31:45.2796934Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-12-04T09:31:45.2800005Z * 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
2025-12-04T09:31:45.2803732Z * 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
2025-12-04T09:31:45.2806970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-12-04T09:31:45.2810189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-12-04T09:31:45.2812875Z * 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
2025-12-04T09:31:45.2815973Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-12-04T09:31:45.2818755Z * 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
2025-12-04T09:31:45.2821724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-12-04T09:31:45.2824600Z * 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
2025-12-04T09:31:45.2827431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-12-04T09:31:45.2830013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-12-04T09:31:45.2832438Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-12-04T09:31:45.2835031Z * 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
2025-12-04T09:31:45.2837916Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-12-04T09:31:45.2840807Z * 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
2025-12-04T09:31:45.2843829Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-12-04T09:31:45.2846788Z * 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
2025-12-04T09:31:45.4420900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-12-04T09:31:45.4440626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-12-04T09:31:45.4479631Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-12-04T09:31:45.4481178Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-12-04T09:31:45.4490974Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-12-04T09:31:45.4492517Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file
2025-12-04T09:31:45.4523318Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-12-04T09:31:45.4524814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file
2025-12-04T09:31:45.4568503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-12-04T09:31:45.4570017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file
2025-12-04T09:31:45.4589884Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-12-04T09:31:45.4591416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file
2025-12-04T09:31:45.4600937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-12-04T09:31:45.4602564Z * 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
2025-12-04T09:31:45.4619283Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-12-04T09:31:45.4620988Z * 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
2025-12-04T09:31:45.4649256Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-12-04T09:31:45.4650870Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file
2025-12-04T09:31:45.4662086Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-12-04T09:31:45.4663506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-12-04T09:31:45.4687766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-12-04T09:31:45.4689279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-12-04T09:31:45.4694074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-12-04T09:31:45.4695522Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-12-04T09:31:45.4718577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-12-04T09:31:45.4720242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-12-04T09:31:45.4724816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-12-04T09:31:45.4726257Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-12-04T09:31:45.5480693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-12-04T09:31:45.5482385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-12-04T09:31:45.5528235Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-12-04T09:31:45.5529992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-12-04T09:31:45.5533232Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-12-04T09:31:45.5534639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-12-04T09:31:45.5538028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-12-04T09:31:45.5539401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-12-04T09:31:45.5542463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-12-04T09:31:45.5544076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-12-04T09:31:45.5568122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-12-04T09:31:45.5569629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-12-04T09:31:45.5573059Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-12-04T09:31:45.5574428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-12-04T09:31:45.5577778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-12-04T09:31:45.5579135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-12-04T09:31:45.5582498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-12-04T09:31:45.5583834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-12-04T09:31:45.5587588Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-12-04T09:31:45.5588919Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-12-04T09:31:45.5594128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-12-04T09:31:45.5595544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-12-04T09:31:45.5599511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-12-04T09:31:45.5601135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-12-04T09:31:45.5604344Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-12-04T09:31:45.5605810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-12-04T09:31:45.5609692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-12-04T09:31:45.5611173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-12-04T09:31:45.5614835Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-12-04T09:31:45.5616303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-12-04T09:31:45.5617768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-12-04T09:31:45.5619170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-12-04T09:31:45.5622799Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-12-04T09:31:45.5624304Z * 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
2025-12-04T09:31:45.5625942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-12-04T09:31:45.5627806Z * 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
2025-12-04T09:31:45.5629734Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0
2025-12-04T09:31:45.5631578Z * 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
2025-12-04T09:31:45.5633456Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0
2025-12-04T09:31:45.5635153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-12-04T09:31:45.5636737Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-12-04T09:31:45.5638333Z * 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
2025-12-04T09:31:45.5639955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-12-04T09:31:45.5641553Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-12-04T09:31:45.5648672Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-12-04T09:31:45.5650247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-12-04T09:31:45.5656938Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-12-04T09:31:45.5658473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-12-04T09:31:45.5662470Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-12-04T09:31:45.5663725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-12-04T09:31:45.5667954Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-12-04T09:31:45.5669191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-12-04T09:31:45.5673079Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-12-04T09:31:45.5674333Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-12-04T09:31:45.5678029Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-12-04T09:31:45.5679317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-12-04T09:31:45.5683051Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-12-04T09:31:45.5684316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-12-04T09:31:45.5688060Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-12-04T09:31:45.5689360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-12-04T09:31:45.5693458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-12-04T09:31:45.5694685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-12-04T09:31:45.5698713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-12-04T09:31:45.5699972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-12-04T09:31:45.5704001Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-12-04T09:31:45.5705235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-12-04T09:31:45.5709781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-12-04T09:31:45.5711012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-12-04T09:31:45.5715222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-12-04T09:31:45.5716447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-12-04T09:31:45.5720447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-12-04T09:31:45.5721677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-12-04T09:31:45.5725910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-12-04T09:31:45.5727279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-12-04T09:31:45.5853547Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-12-04T09:31:45.5856022Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-12-04T09:31:45.5860157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-12-04T09:31:45.5862702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-12-04T09:31:45.5872085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-12-04T09:31:45.5874677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-12-04T09:31:45.5878769Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-12-04T09:31:45.5881304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-12-04T09:31:45.5886519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-12-04T09:31:45.5889174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-12-04T09:31:45.5893716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-12-04T09:31:45.5896738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-12-04T09:31:45.5899336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-12-04T09:31:45.5900905Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-12-04T09:31:45.5910918Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-12-04T09:31:45.5913394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-12-04T09:31:45.5918637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-12-04T09:31:45.5921193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-12-04T09:31:45.5925284Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-12-04T09:31:45.5927799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-12-04T09:31:45.5933331Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-12-04T09:31:45.5935837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-12-04T09:31:45.5939597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-12-04T09:31:45.5941413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-12-04T09:31:45.5945197Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-12-04T09:31:45.5946810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-12-04T09:31:45.5950422Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-12-04T09:31:45.5952051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-12-04T09:31:45.6002747Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-12-04T09:31:45.6004389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-12-04T09:31:45.6486406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-12-04T09:31:45.6488086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-12-04T09:31:46.1608443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-12-04T09:31:46.1753106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-12-04T09:31:46.1755597Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-12-04T09:31:46.1757419Z * 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
2025-12-04T09:31:46.1759013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-12-04T09:31:46.1760498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-12-04T09:31:46.1782778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-12-04T09:31:46.1784469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-12-04T09:31:46.1786113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-12-04T09:31:46.1787774Z * 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
2025-12-04T09:31:46.1796380Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-12-04T09:31:46.1798100Z * 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
2025-12-04T09:31:46.1807732Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-12-04T09:31:46.1809572Z * 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
2025-12-04T09:31:46.1819881Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-12-04T09:31:46.1821815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-12-04T09:31:46.1823469Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-12-04T09:31:46.1825083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file
2025-12-04T09:31:46.1826731Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-12-04T09:31:46.1828350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file
2025-12-04T09:31:46.1830056Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-12-04T09:31:46.1831734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file
2025-12-04T09:31:46.1833425Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-12-04T09:31:46.1835085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-12-04T09:31:46.1837140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-12-04T09:31:46.1838836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-12-04T09:31:46.1848678Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-12-04T09:31:46.1850326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-12-04T09:31:46.1854681Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-12-04T09:31:46.1856239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-12-04T09:31:46.1862049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-12-04T09:31:46.1863624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-12-04T09:31:46.1914250Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-12-04T09:31:46.1915853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-12-04T09:31:46.2103245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-12-04T09:31:46.2104881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-12-04T09:31:46.2109123Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-12-04T09:31:46.2110804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-12-04T09:31:46.2299289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-12-04T09:31:46.2301300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file
2025-12-04T09:31:46.2307662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-12-04T09:31:46.2309213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file
2025-12-04T09:31:46.2326470Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-12-04T09:31:46.2327965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-12-04T09:31:46.2339350Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-12-04T09:31:46.2340836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-12-04T09:31:46.2380667Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-12-04T09:31:46.2382293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-12-04T09:31:46.2402693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-12-04T09:31:46.2404440Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-12-04T09:31:46.2880551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-12-04T09:31:46.2882891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-12-04T09:31:46.7983044Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-12-04T09:31:46.8129110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-12-04T09:31:46.8135194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-12-04T09:31:46.8137392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-12-04T09:31:46.8146060Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-12-04T09:31:46.8148358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-12-04T09:31:46.8167988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-12-04T09:31:46.8170498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-12-04T09:31:46.8191858Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-12-04T09:31:46.8194479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-12-04T09:31:46.8203168Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-12-04T09:31:46.8205561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file
2025-12-04T09:31:46.8258597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-12-04T09:31:46.8261032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file
2025-12-04T09:31:46.8269211Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-12-04T09:31:46.8271768Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file
2025-12-04T09:31:46.8289443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-12-04T09:31:46.8292008Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file
2025-12-04T09:31:46.8302462Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-12-04T09:31:46.8304862Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file
2025-12-04T09:31:46.8337416Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-12-04T09:31:46.8339740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file
2025-12-04T09:31:46.8347914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-12-04T09:31:46.8350356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file
2025-12-04T09:31:46.8364222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-12-04T09:31:46.8366742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file
2025-12-04T09:31:46.8373901Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-12-04T09:31:46.8376458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file
2025-12-04T09:31:46.8386920Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-12-04T09:31:46.8389568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file
2025-12-04T09:31:46.8400498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-12-04T09:31:46.8403102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file
2025-12-04T09:31:46.8405765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-12-04T09:31:46.8408655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file
2025-12-04T09:31:46.8419915Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-12-04T09:31:46.8422600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file
2025-12-04T09:31:46.8431752Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-12-04T09:31:46.8434304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file
2025-12-04T09:31:46.8443900Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-12-04T09:31:46.8445571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file
2025-12-04T09:31:46.8461785Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-12-04T09:31:46.8463548Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file
2025-12-04T09:31:46.8496319Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-12-04T09:31:46.8497981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file
2025-12-04T09:31:46.8528805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-12-04T09:31:46.8530500Z * 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
2025-12-04T09:31:46.8532332Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-12-04T09:31:46.8534013Z * 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
2025-12-04T09:31:46.8548774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-12-04T09:31:46.8550396Z * 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
2025-12-04T09:31:46.8558727Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-12-04T09:31:46.8560388Z * 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
2025-12-04T09:31:46.8562093Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-12-04T09:31:46.8563794Z * 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
2025-12-04T09:31:46.8565559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-12-04T09:31:46.8567309Z * 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
2025-12-04T09:31:46.8569156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-12-04T09:31:46.8570862Z * 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
2025-12-04T09:31:46.8572523Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-12-04T09:31:46.8574207Z * 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
2025-12-04T09:31:46.8576168Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-12-04T09:31:46.8577877Z * 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
2025-12-04T09:31:46.8579648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-12-04T09:31:46.8581323Z * 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
2025-12-04T09:31:46.8582991Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-12-04T09:31:46.8584651Z * 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
2025-12-04T09:31:46.8586401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-12-04T09:31:46.8588160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-12-04T09:31:46.8650984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-12-04T09:31:46.8652746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-12-04T09:31:46.8672438Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-12-04T09:31:46.8674121Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-12-04T09:31:46.8704186Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-12-04T09:31:46.8705869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file
2025-12-04T09:31:46.8710887Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-12-04T09:31:46.8712513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-12-04T09:31:46.8727609Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-12-04T09:31:46.8729327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-12-04T09:31:46.8754251Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-12-04T09:31:46.8755896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-12-04T09:31:48.1129937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-12-04T09:31:48.1419034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-12-04T09:31:48.1431780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-12-04T09:31:48.1433141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-12-04T09:31:48.1440204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-12-04T09:31:48.1441515Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-12-04T09:31:48.1490297Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-12-04T09:31:48.1491973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-12-04T09:31:48.1528480Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-12-04T09:31:48.1530153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-12-04T09:31:48.1545501Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-12-04T09:31:48.1547181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-12-04T09:31:48.1555946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-12-04T09:31:48.1557622Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-12-04T09:31:48.1578742Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-12-04T09:31:48.1580416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-12-04T09:31:48.1596650Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-12-04T09:31:48.1598334Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-12-04T09:31:49.1617225Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-12-04T09:31:49.1902585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-12-04T09:31:49.1915455Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-12-04T09:31:49.1916705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-12-04T09:31:49.1923261Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-12-04T09:31:49.1924514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-12-04T09:31:49.1973429Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-12-04T09:31:49.1975094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-12-04T09:31:49.1980544Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-12-04T09:31:49.1982257Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-12-04T09:31:49.1987487Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-12-04T09:31:49.1989145Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-12-04T09:31:49.2005637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-12-04T09:31:49.2007488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-12-04T09:31:49.2113796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-12-04T09:31:49.2115412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-12-04T09:31:49.5917003Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-12-04T09:31:49.5968234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-12-04T09:31:49.5982457Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-12-04T09:31:49.5984073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-12-04T09:31:49.6007484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-12-04T09:31:49.6009162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-12-04T09:31:49.7416705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-12-04T09:31:49.7418331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-12-04T09:31:49.7439153Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-12-04T09:31:49.7440718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-12-04T09:31:49.7528819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-12-04T09:31:49.7530393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-12-04T09:31:50.1078243Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-12-04T09:31:50.1132013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-12-04T09:31:50.1229880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-12-04T09:31:50.1231608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-12-04T09:31:50.2527708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-12-04T09:31:50.2529494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-12-04T09:31:50.2539862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-12-04T09:31:50.2541860Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-12-04T09:31:50.2637670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-12-04T09:31:50.2639270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-12-04T09:31:50.6701758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-12-04T09:31:50.6753650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-12-04T09:31:50.6783425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-12-04T09:31:50.6785183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-12-04T09:31:50.6795942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-12-04T09:31:50.6797642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-12-04T09:31:50.6831535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-12-04T09:31:50.6833257Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-12-04T09:31:50.6855747Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-12-04T09:31:50.6857480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-12-04T09:31:50.6866610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-12-04T09:31:50.6868310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-12-04T09:31:50.6947850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-12-04T09:31:50.6949411Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-12-04T09:31:50.6962213Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-12-04T09:31:50.6963676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-12-04T09:31:50.7524084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-12-04T09:31:50.7525847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-12-04T09:31:50.7546794Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-12-04T09:31:50.7548807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-12-04T09:31:50.7563297Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-12-04T09:31:50.7566263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-12-04T09:31:50.7580092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-12-04T09:31:50.7582814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-12-04T09:31:50.7597679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-12-04T09:31:50.7599201Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-12-04T09:31:50.7616085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-12-04T09:31:50.7617801Z * 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
2025-12-04T09:31:50.7623294Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-12-04T09:31:50.7624965Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file
2025-12-04T09:31:50.7650170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-12-04T09:31:50.7651895Z * 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
2025-12-04T09:31:50.7658951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-12-04T09:31:50.7660970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-12-04T09:31:51.7535568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-12-04T09:31:51.7560537Z * 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
2025-12-04T09:31:51.7562462Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-12-04T09:31:51.7564297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-12-04T09:31:51.8721682Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-12-04T09:31:51.8726362Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file
2025-12-04T09:31:52.1130386Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-12-04T09:31:52.1197832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file
2025-12-04T09:31:52.1527158Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-12-04T09:31:52.1529219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file
2025-12-04T09:31:52.2118768Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-12-04T09:31:52.2121715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-12-04T09:31:52.2183235Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-12-04T09:31:52.2184948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-12-04T09:31:52.2201288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-12-04T09:31:52.2203084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-12-04T09:31:52.2213885Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-12-04T09:31:52.2215655Z * 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
2025-12-04T09:31:52.2217406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-12-04T09:31:52.2219219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-12-04T09:31:52.2221123Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-12-04T09:31:52.2223041Z * 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
2025-12-04T09:31:52.2225309Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-12-04T09:31:52.2227285Z * 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
2025-12-04T09:31:52.2229280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-12-04T09:31:52.2231324Z * 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
2025-12-04T09:31:52.2233489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-12-04T09:31:52.2235620Z * 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
2025-12-04T09:31:52.2237791Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-12-04T09:31:52.2239968Z * 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
2025-12-04T09:31:52.2242208Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-12-04T09:31:52.2244417Z * 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
2025-12-04T09:31:52.2246574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-12-04T09:31:52.2248126Z * 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
2025-12-04T09:31:52.2249671Z * 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
2025-12-04T09:31:52.2250964Z * 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
2025-12-04T09:31:52.2252177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-12-04T09:31:52.2253545Z * 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
2025-12-04T09:31:52.2255126Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-12-04T09:31:52.2256666Z * 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
2025-12-04T09:31:52.2258227Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-12-04T09:31:52.2259699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file
2025-12-04T09:31:52.2261085Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-12-04T09:31:52.2262545Z * 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
2025-12-04T09:31:52.2263951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-12-04T09:31:52.2265337Z * 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
2025-12-04T09:31:52.2266755Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-12-04T09:31:52.2268034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-12-04T09:31:52.2269239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-12-04T09:31:52.2270477Z * 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
2025-12-04T09:31:52.2271811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-12-04T09:31:52.2273088Z * 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
2025-12-04T09:31:52.2274358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-12-04T09:31:52.2275602Z * 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
2025-12-04T09:31:52.2276898Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-12-04T09:31:52.2278150Z * 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
2025-12-04T09:31:52.2295474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-12-04T09:31:52.2296743Z * 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
2025-12-04T09:31:52.2316880Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-12-04T09:31:52.2318165Z * 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
2025-12-04T09:31:52.2329490Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-12-04T09:31:52.2330716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file
2025-12-04T09:31:52.2337723Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-12-04T09:31:52.2338907Z * 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
2025-12-04T09:31:52.2348239Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-12-04T09:31:52.2349466Z * 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
2025-12-04T09:31:52.2378722Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-12-04T09:31:52.2379938Z * 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
2025-12-04T09:31:52.2386185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-12-04T09:31:52.2387399Z * 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
2025-12-04T09:31:52.2410981Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-12-04T09:31:52.2412489Z * 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
2025-12-04T09:31:52.2420351Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-12-04T09:31:52.2421870Z * 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
2025-12-04T09:31:52.2442629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-12-04T09:31:52.2444230Z * 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
2025-12-04T09:31:52.2451774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-12-04T09:31:52.2453479Z * 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
2025-12-04T09:31:52.2460056Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-12-04T09:31:52.2461769Z * 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
2025-12-04T09:31:52.2465125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-12-04T09:31:52.2466734Z * 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
2025-12-04T09:31:52.2483975Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-12-04T09:31:52.2485619Z * 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
2025-12-04T09:31:52.2491021Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-12-04T09:31:52.2492756Z * 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
2025-12-04T09:31:52.2494578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-12-04T09:31:52.2496572Z * 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
2025-12-04T09:31:52.2499378Z * 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
2025-12-04T09:31:52.2501320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file
2025-12-04T09:31:52.2502939Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-12-04T09:31:52.2504813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file
2025-12-04T09:31:52.2506559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-12-04T09:31:52.2508469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file
2025-12-04T09:31:52.2510034Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-12-04T09:31:52.2511578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file
2025-12-04T09:31:52.2513203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-12-04T09:31:52.2514794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file
2025-12-04T09:31:52.2516428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-12-04T09:31:52.2517973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file
2025-12-04T09:31:52.2519555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-12-04T09:31:52.2521153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file
2025-12-04T09:31:52.2522840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-12-04T09:31:52.2524475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file
2025-12-04T09:31:52.2526279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-12-04T09:31:52.2527912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file
2025-12-04T09:31:52.2529673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-12-04T09:31:52.2531344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file
2025-12-04T09:31:52.2533054Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-12-04T09:31:52.2534735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file
2025-12-04T09:31:52.2536464Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-12-04T09:31:52.2538068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file
2025-12-04T09:31:52.2539644Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-12-04T09:31:52.2541371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file
2025-12-04T09:31:52.2543258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-12-04T09:31:52.2545312Z * 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
2025-12-04T09:31:52.2547285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-12-04T09:31:52.2549194Z * 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
2025-12-04T09:31:52.2551162Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-12-04T09:31:52.2552939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file
2025-12-04T09:31:52.2554593Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-12-04T09:31:52.2556298Z * 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
2025-12-04T09:31:52.2558111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-12-04T09:31:52.2559809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file
2025-12-04T09:31:52.2561574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-12-04T09:31:52.2563300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file
2025-12-04T09:31:52.2564996Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-12-04T09:31:52.2566744Z * 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
2025-12-04T09:31:52.2568450Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-12-04T09:31:52.2569997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file
2025-12-04T09:31:52.2571545Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-12-04T09:31:52.2573089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-12-04T09:31:52.2574729Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-12-04T09:31:52.2576552Z * 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
2025-12-04T09:31:52.2578579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-12-04T09:31:52.2580352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file
2025-12-04T09:31:52.2581928Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-12-04T09:31:52.2583620Z * 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
2025-12-04T09:31:52.2585464Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-12-04T09:31:52.2587404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-12-04T09:31:52.2606264Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-12-04T09:31:52.2608135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-12-04T09:31:52.2609827Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-12-04T09:31:52.2611481Z * 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
2025-12-04T09:31:52.2613302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-12-04T09:31:52.2615088Z * 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
2025-12-04T09:31:52.2616915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-12-04T09:31:52.2618709Z * 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
2025-12-04T09:31:52.2620488Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-12-04T09:31:52.2622386Z * 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
2025-12-04T09:31:52.2623982Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-12-04T09:31:52.2625771Z * 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
2025-12-04T09:31:52.2627332Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-12-04T09:31:52.2628866Z * 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
2025-12-04T09:31:52.2630430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-12-04T09:31:52.2631890Z * 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
2025-12-04T09:31:52.2633361Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-12-04T09:31:52.2634803Z * 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
2025-12-04T09:31:52.2636336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-12-04T09:31:52.2637949Z * 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
2025-12-04T09:31:52.2639694Z * 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
2025-12-04T09:31:52.2641644Z * 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
2025-12-04T09:31:52.2647837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-12-04T09:31:52.2649495Z * 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
2025-12-04T09:31:52.2650852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-12-04T09:31:52.2652131Z * 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
2025-12-04T09:31:52.2658094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-12-04T09:31:52.2659355Z * 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
2025-12-04T09:31:52.2673659Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-12-04T09:31:52.2674926Z * 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
2025-12-04T09:31:52.2679494Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-12-04T09:31:52.2680749Z * 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
2025-12-04T09:31:52.2687625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-12-04T09:31:52.2689147Z * 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
2025-12-04T09:31:52.2694054Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-12-04T09:31:52.2695314Z * 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
2025-12-04T09:31:52.2700332Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-12-04T09:31:52.2701578Z * 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
2025-12-04T09:31:52.2708740Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-12-04T09:31:52.2709997Z * 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
2025-12-04T09:31:52.2720256Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-12-04T09:31:52.2721569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file
2025-12-04T09:31:52.2735395Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-12-04T09:31:52.2736677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file
2025-12-04T09:31:52.2747580Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-12-04T09:31:52.2749059Z * 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
2025-12-04T09:31:52.2755448Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-12-04T09:31:52.2756640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file
2025-12-04T09:31:52.2763494Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-12-04T09:31:52.2764833Z * 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
2025-12-04T09:31:52.2766367Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-12-04T09:31:52.2767949Z * 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
2025-12-04T09:31:52.2769747Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-12-04T09:31:52.2771266Z * 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
2025-12-04T09:31:52.2772711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-12-04T09:31:52.2774113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 561 <- wrt source file
2025-12-04T09:31:52.2775518Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-12-04T09:31:52.2777031Z * 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
2025-12-04T09:31:52.2778429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-12-04T09:31:52.2779851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file
2025-12-04T09:31:52.2781318Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-12-04T09:31:52.2782788Z * 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
2025-12-04T09:31:52.2789863Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-12-04T09:31:52.2791265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file
2025-12-04T09:31:52.2792594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-12-04T09:31:52.2793889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file
2025-12-04T09:31:52.2795210Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-12-04T09:31:52.2796505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file
2025-12-04T09:31:52.2797915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-12-04T09:31:52.2799211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file
2025-12-04T09:31:52.2800529Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-12-04T09:31:52.2801767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1759 <- wrt source file
2025-12-04T09:31:52.2802979Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-12-04T09:31:52.2804217Z * 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
2025-12-04T09:31:52.2805516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-12-04T09:31:52.2806732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-12-04T09:31:52.2816639Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-12-04T09:31:52.2818006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-12-04T09:31:52.2819504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-12-04T09:31:52.2820989Z * 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
2025-12-04T09:31:52.3343070Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-12-04T09:31:52.3344486Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-12-04T09:31:52.3351378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-12-04T09:31:52.3352969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-12-04T09:31:52.3354443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-12-04T09:31:52.3355721Z * 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
2025-12-04T09:31:52.3357026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-12-04T09:31:52.3358371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-12-04T09:31:52.3359798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-12-04T09:31:52.3361111Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-12-04T09:31:52.3362348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-12-04T09:31:52.3363827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-12-04T09:31:52.3365789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-12-04T09:31:52.3367154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-12-04T09:31:52.3372788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-12-04T09:31:52.3374104Z * 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
2025-12-04T09:31:52.3377103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-12-04T09:31:52.3378440Z * 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
2025-12-04T09:31:52.3383091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-12-04T09:31:52.3384428Z * 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
2025-12-04T09:31:52.3389888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-12-04T09:31:52.3391300Z * 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
2025-12-04T09:31:52.3394052Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-12-04T09:31:52.3395482Z * 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
2025-12-04T09:31:52.3397395Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-12-04T09:31:52.3399188Z * 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
2025-12-04T09:31:52.3400809Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-12-04T09:31:52.3402401Z * 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
2025-12-04T09:31:52.3411720Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-12-04T09:31:52.3413377Z * 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
2025-12-04T09:31:52.3415081Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:31:52.3416708Z * 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
2025-12-04T09:31:52.3440923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-12-04T09:31:52.3442969Z * 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
2025-12-04T09:31:52.3444744Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-12-04T09:31:52.3446312Z * 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
2025-12-04T09:31:52.3448382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-12-04T09:31:52.3450169Z * 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
2025-12-04T09:31:52.3452044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-12-04T09:31:52.3453931Z * 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
2025-12-04T09:31:52.3455754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-12-04T09:31:52.3457536Z * 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
2025-12-04T09:31:52.3459151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-12-04T09:31:52.3460766Z * 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
2025-12-04T09:31:52.3462495Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-12-04T09:31:52.3464368Z * 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
2025-12-04T09:31:52.3466466Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-12-04T09:31:52.3468265Z * 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
2025-12-04T09:31:52.3469894Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-12-04T09:31:52.3471649Z * 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
2025-12-04T09:31:52.3473591Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-12-04T09:31:52.3475357Z * 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
2025-12-04T09:31:52.3477105Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-12-04T09:31:52.3478930Z * 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
2025-12-04T09:31:52.3480566Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-12-04T09:31:52.3482216Z * 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
2025-12-04T09:31:52.3484064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-12-04T09:31:52.3486133Z * 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
2025-12-04T09:31:52.3487807Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-12-04T09:31:52.3489511Z * 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
2025-12-04T09:31:52.3491088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-12-04T09:31:52.3492706Z * 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
2025-12-04T09:31:52.3494379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:31:52.3495976Z * 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
2025-12-04T09:31:52.3497582Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-12-04T09:31:52.3499143Z * 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
2025-12-04T09:31:52.3500838Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-12-04T09:31:52.3502383Z * 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
2025-12-04T09:31:52.3503974Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-12-04T09:31:52.3505560Z * 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
2025-12-04T09:31:52.3507498Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-12-04T09:31:52.3509084Z * 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
2025-12-04T09:31:52.3510643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-12-04T09:31:52.3512159Z * 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
2025-12-04T09:31:52.3513697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-12-04T09:31:52.3515156Z * 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
2025-12-04T09:31:53.0315996Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-12-04T09:31:53.0319469Z * 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
2025-12-04T09:31:53.0322560Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-12-04T09:31:53.0325522Z * 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
2025-12-04T09:31:53.0328646Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-12-04T09:31:53.0331624Z * 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
2025-12-04T09:31:53.0334741Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-12-04T09:31:53.0337614Z * 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
2025-12-04T09:31:53.0339872Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-12-04T09:31:53.0342627Z * 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
2025-12-04T09:31:53.0345175Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-12-04T09:31:53.0347822Z * 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
2025-12-04T09:31:53.0351551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-12-04T09:31:53.0354610Z * 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
2025-12-04T09:31:53.0357952Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-12-04T09:31:53.0361223Z * 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
2025-12-04T09:31:53.0364346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-12-04T09:31:53.0367207Z * 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
2025-12-04T09:31:53.0370245Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-12-04T09:31:53.0373147Z * 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
2025-12-04T09:31:53.0376176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-12-04T09:31:53.0378896Z * 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
2025-12-04T09:31:53.0381275Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-12-04T09:31:53.0383896Z * 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
2025-12-04T09:31:53.0386710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-12-04T09:31:53.0389220Z * 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
2025-12-04T09:31:53.0391827Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-12-04T09:31:53.0394577Z * 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
2025-12-04T09:31:53.0397472Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-12-04T09:31:53.0400414Z * 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
2025-12-04T09:31:53.0403338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-12-04T09:31:53.0406101Z * 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
2025-12-04T09:31:53.0409392Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-12-04T09:31:53.0411856Z * 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
2025-12-04T09:31:53.0414612Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-12-04T09:31:53.0416641Z ============
2025-12-04T09:31:53.0417256Z Finished doctests
2025-12-04T09:31:53.0417729Z 378 / 894 passed
2025-12-04T09:31:53.0418251Z 
2025-12-04T09:31:53.0418903Z === Found 17 parse-time warnings ===
2025-12-04T09:31:53.0433023Z --- Parse Warning: 1 / 17 ---
2025-12-04T09:31:53.0434827Z     /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.
2025-12-04T09:31:53.0436781Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0437772Z     Registers the function implementation as the fallback for the given key.
2025-12-04T09:31:53.0438507Z     
2025-12-04T09:31:53.0439049Z             This function only works for a library with global namespace ("_").
2025-12-04T09:31:53.0439716Z     
2025-12-04T09:31:53.0440030Z             Args:
2025-12-04T09:31:53.0440715Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:31:53.0441533Z                     to register a fallthrough.
2025-12-04T09:31:53.0442422Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:31:53.0443356Z                               the dispatch key that the library was created with.
2025-12-04T09:31:53.0444371Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:31:53.0445714Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:31:53.0446566Z     
2025-12-04T09:31:53.0447278Z             Example::
2025-12-04T09:31:53.0447666Z     
2025-12-04T09:31:53.0448036Z                 >>> my_lib = Library("_", "IMPL")
2025-12-04T09:31:53.0448809Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:31:53.0449513Z                 >>>     # Handle all autocast ops generically
2025-12-04T09:31:53.0450166Z                 >>>     # ...
2025-12-04T09:31:53.0450777Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:53.0451411Z             
2025-12-04T09:31:53.0452579Z     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))
2025-12-04T09:31:53.0453957Z     
2025-12-04T09:31:53.0454385Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:53.0454893Z     ^
2025-12-04T09:31:53.0455269Z       warnings.warn(msg)
2025-12-04T09:31:53.0455716Z     
2025-12-04T09:31:53.0456316Z --- Parse Warning: 2 / 17 ---
2025-12-04T09:31:53.0458372Z     /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.
2025-12-04T09:31:53.0460741Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0461898Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:31:53.0462704Z     
2025-12-04T09:31:53.0463181Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:31:53.0463877Z     
2025-12-04T09:31:53.0464542Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:31:53.0465674Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:31:53.0466807Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:31:53.0467994Z         what the properties of the output Tensors are.
2025-12-04T09:31:53.0468617Z     
2025-12-04T09:31:53.0469262Z         The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:31:53.0470339Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:31:53.0471381Z         implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:31:53.0472273Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:31:53.0473268Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:31:53.0474335Z         The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:31:53.0475258Z         (and may not directly access the storage or data of any input or
2025-12-04T09:31:53.0475957Z         intermediate Tensors).
2025-12-04T09:31:53.0476412Z     
2025-12-04T09:31:53.0476815Z         This API may be used as a decorator (see examples).
2025-12-04T09:31:53.0477361Z     
2025-12-04T09:31:53.0477780Z         For a detailed guide on custom ops, please see
2025-12-04T09:31:53.0478627Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:31:53.0479306Z     
2025-12-04T09:31:53.0479653Z         Args:
2025-12-04T09:31:53.0480295Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:31:53.0481166Z             func: Fake tensor implementation.
2025-12-04T09:31:53.0481871Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:31:53.0482632Z             allow_override: Flag controlling if we want to override an
2025-12-04T09:31:53.0483123Z                             existing registered fake impl. This is by default off,
2025-12-04T09:31:53.0483621Z                             and will error you're trying to register a fake impl to
2025-12-04T09:31:53.0484115Z                             an operator that already has a fake impl. This also only
2025-12-04T09:31:53.0484914Z                             applies if the custom operator was not created via
2025-12-04T09:31:53.0485422Z                             torch.library.custom_op, as overriding and existing fake
2025-12-04T09:31:53.0485876Z                             impl is already allowed.
2025-12-04T09:31:53.0486203Z     
2025-12-04T09:31:53.0486404Z         Examples:
2025-12-04T09:31:53.0486661Z             >>> import torch
2025-12-04T09:31:53.0486958Z             >>> import numpy as np
2025-12-04T09:31:53.0487266Z             >>> from torch import Tensor
2025-12-04T09:31:53.0487581Z             >>>
2025-12-04T09:31:53.0487926Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:53.0488563Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:31:53.0489145Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:53.0489694Z             >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:31:53.0490096Z             >>>
2025-12-04T09:31:53.0490405Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:31:53.0490811Z             >>> def _(x, weight, bias):
2025-12-04T09:31:53.0491138Z             >>>     assert x.dim() == 2
2025-12-04T09:31:53.0491462Z             >>>     assert weight.dim() == 2
2025-12-04T09:31:53.0491805Z             >>>     assert bias.dim() == 1
2025-12-04T09:31:53.0492171Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:53.0492549Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:53.0492938Z             >>>     assert x.device == weight.device
2025-12-04T09:31:53.0493277Z             >>>
2025-12-04T09:31:53.0493540Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:53.0493858Z             >>>
2025-12-04T09:31:53.0494182Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:31:53.0494704Z             >>>     x = torch.randn(2, 3)
2025-12-04T09:31:53.0495032Z             >>>     w = torch.randn(3, 3)
2025-12-04T09:31:53.0495368Z             >>>     b = torch.randn(3)
2025-12-04T09:31:53.0495732Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:31:53.0496072Z             >>>
2025-12-04T09:31:53.0496327Z             >>> assert y.shape == (2, 3)
2025-12-04T09:31:53.0496639Z             >>>
2025-12-04T09:31:53.0496954Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:53.0497494Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:31:53.0497983Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:53.0498358Z             >>>     x_np = x.numpy(force=True)
2025-12-04T09:31:53.0498719Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:53.0499124Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:53.0499479Z             >>>
2025-12-04T09:31:53.0499793Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:31:53.0500190Z             >>> def _(x):
2025-12-04T09:31:53.0500524Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:53.0500963Z             >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:31:53.0501397Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:53.0501825Z             >>> # represents the data-dependent size.
2025-12-04T09:31:53.0502200Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:53.0502550Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:53.0502903Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:53.0503285Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:53.0503652Z             >>>     return result
2025-12-04T09:31:53.0503943Z             >>>
2025-12-04T09:31:53.0504282Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:31:53.0504753Z             >>>
2025-12-04T09:31:53.0505008Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:31:53.0505507Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:31:53.0506003Z             >>> trace.print_readable()
2025-12-04T09:31:53.0506299Z             >>>
2025-12-04T09:31:53.0506668Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:31:53.0507433Z     
2025-12-04T09:31:53.0507635Z         
2025-12-04T09:31:53.0508308Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:31:53.0509053Z     
2025-12-04T09:31:53.0509247Z     _._ = None
2025-12-04T09:31:53.0509476Z     ^
2025-12-04T09:31:53.0509706Z       warnings.warn(msg)
2025-12-04T09:31:53.0509971Z     
2025-12-04T09:31:53.0510357Z --- Parse Warning: 3 / 17 ---
2025-12-04T09:31:53.0511465Z     /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.
2025-12-04T09:31:53.0512692Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0513285Z     Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:31:53.0513713Z     
2025-12-04T09:31:53.0514070Z         This function retrieves the kernel that would be executed for a given
2025-12-04T09:31:53.0514674Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:31:53.0515230Z         can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:31:53.0515778Z         case for this function is to retrieve the original kernel for a given
2025-12-04T09:31:53.0516353Z         dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:31:53.0517024Z         that calls into the original kernel for certain cases.
2025-12-04T09:31:53.0517401Z     
2025-12-04T09:31:53.0517615Z         Args:
2025-12-04T09:31:53.0517954Z             op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:31:53.0518535Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:31:53.0519166Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:31:53.0519757Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:31:53.0520152Z     
2025-12-04T09:31:53.0520366Z         Returns:
2025-12-04T09:31:53.0520766Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:31:53.0521234Z                 call the kernel.
2025-12-04T09:31:53.0521516Z     
2025-12-04T09:31:53.0521723Z         Raises:
2025-12-04T09:31:53.0522009Z             RuntimeError: If the operator does not exist.
2025-12-04T09:31:53.0522369Z     
2025-12-04T09:31:53.0522579Z         Example:
2025-12-04T09:31:53.0522852Z             >>> # Get the CPU kernel for torch.add
2025-12-04T09:31:53.0523293Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:31:53.0523703Z             >>>
2025-12-04T09:31:53.0523973Z             >>> # You can also use DispatchKey enum
2025-12-04T09:31:53.0524478Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:31:53.0524968Z             >>>
2025-12-04T09:31:53.0525228Z             >>> # Or use an OpOverload directly
2025-12-04T09:31:53.0525701Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:31:53.0526132Z             >>>
2025-12-04T09:31:53.0526496Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:31:53.0526978Z             >>> # Get the original kernel for torch.sin
2025-12-04T09:31:53.0527544Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:31:53.0527986Z             >>>
2025-12-04T09:31:53.0528485Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:31:53.0528997Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:31:53.0529355Z             >>>     if (x < 0).any():
2025-12-04T09:31:53.0529763Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:31:53.0530175Z             >>>     else:
2025-12-04T09:31:53.0530459Z             >>>         return torch.zeros_like(x)
2025-12-04T09:31:53.0530790Z             >>>
2025-12-04T09:31:53.0531073Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:31:53.0531590Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:31:53.0532186Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:53.0532711Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:31:53.0533121Z             >>>
2025-12-04T09:31:53.0533369Z             >>> # Test the conditional behavior
2025-12-04T09:31:53.0533742Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:31:53.0534105Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:31:53.0534447Z             >>> torch.sin(x_positive)
2025-12-04T09:31:53.0534768Z             tensor([0., 0.])
2025-12-04T09:31:53.0535058Z             >>> torch.sin(x_mixed)
2025-12-04T09:31:53.0535352Z             tensor([-0.8415, 0.9093])
2025-12-04T09:31:53.0535668Z         
2025-12-04T09:31:53.0536297Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:31:53.0536985Z     
2025-12-04T09:31:53.0537299Z     which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:53.0537790Z           ^
2025-12-04T09:31:53.0538026Z       warnings.warn(msg)
2025-12-04T09:31:53.0538279Z     
2025-12-04T09:31:53.0538643Z --- Parse Warning: 4 / 17 ---
2025-12-04T09:31:53.0539809Z     /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.
2025-12-04T09:31:53.0541218Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0541844Z     Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:31:53.0542459Z         required drivers are available and at least one device is visible.
2025-12-04T09:31:53.0542965Z         See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:31:53.0543311Z     
2025-12-04T09:31:53.0543531Z         Returns:
2025-12-04T09:31:53.0543977Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:31:53.0544477Z     
2025-12-04T09:31:53.0544846Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:31:53.0545494Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:31:53.0546146Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:31:53.0546669Z             :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:31:53.0547025Z     
2025-12-04T09:31:53.0547238Z         Example::
2025-12-04T09:31:53.0547462Z     
2025-12-04T09:31:53.0547856Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:53.0548342Z         
2025-12-04T09:31:53.0549039Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:31:53.0549805Z     
2025-12-04T09:31:53.0550269Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:53.0550770Z                                             ^
2025-12-04T09:31:53.0551076Z       warnings.warn(msg)
2025-12-04T09:31:53.0551344Z     
2025-12-04T09:31:53.0551661Z --- Parse Warning: 5 / 17 ---
2025-12-04T09:31:53.0552823Z     /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.
2025-12-04T09:31:53.0554122Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0554722Z     Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:31:53.0555146Z     
2025-12-04T09:31:53.0555342Z         Args:
2025-12-04T09:31:53.0555806Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:31:53.0556505Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:31:53.0557073Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:31:53.0557474Z     
2025-12-04T09:31:53.0557915Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:31:53.0558443Z     
2025-12-04T09:31:53.0558641Z         Example::
2025-12-04T09:31:53.0558870Z     
2025-12-04T09:31:53.0559136Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:31:53.0559667Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:53.0560219Z             >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:31:53.0560636Z             >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:31:53.0561081Z             >>> start_event.record()
2025-12-04T09:31:53.0561541Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:31:53.0562035Z             >>> sum = torch.sum(tensor)
2025-12-04T09:31:53.0562363Z             >>> end_event.record()
2025-12-04T09:31:53.0562691Z             >>> torch.accelerator.synchronize()
2025-12-04T09:31:53.0563120Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:31:53.0563504Z         
2025-12-04T09:31:53.0564197Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:31:53.0564970Z     
2025-12-04T09:31:53.0565351Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:53.0565842Z                                             ^
2025-12-04T09:31:53.0566147Z       warnings.warn(msg)
2025-12-04T09:31:53.0566408Z     
2025-12-04T09:31:53.0566729Z --- Parse Warning: 6 / 17 ---
2025-12-04T09:31:53.0567829Z     /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.
2025-12-04T09:31:53.0569169Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0569673Z     Retrieves the CUDA runtime API module.
2025-12-04T09:31:53.0569993Z     
2025-12-04T09:31:53.0570183Z     
2025-12-04T09:31:53.0570562Z         This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:31:53.0571189Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:31:53.0571764Z         runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:31:53.0572203Z     
2025-12-04T09:31:53.0572405Z         Args:
2025-12-04T09:31:53.0572618Z             ``None``
2025-12-04T09:31:53.0572859Z     
2025-12-04T09:31:53.0573066Z         Returns:
2025-12-04T09:31:53.0573454Z             module: The CUDA runtime API module (_cudart).
2025-12-04T09:31:53.0573806Z     
2025-12-04T09:31:53.0574011Z         Raises:
2025-12-04T09:31:53.0574381Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:31:53.0575118Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:31:53.0575698Z     
2025-12-04T09:31:53.0575964Z         Example of CUDA operations with profiling:
2025-12-04T09:31:53.0576314Z             >>> import torch
2025-12-04T09:31:53.0576646Z             >>> from torch.cuda import cudart, check_error
2025-12-04T09:31:53.0577001Z             >>> import os
2025-12-04T09:31:53.0577246Z             >>>
2025-12-04T09:31:53.0577510Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:31:53.0577833Z             >>>
2025-12-04T09:31:53.0578106Z             >>> def perform_cuda_operations_with_streams():
2025-12-04T09:31:53.0578499Z             >>>     stream = torch.cuda.Stream()
2025-12-04T09:31:53.0578864Z             >>>     with torch.cuda.stream(stream):
2025-12-04T09:31:53.0579242Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:53.0579619Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:53.0579982Z             >>>         z = torch.mul(x, y)
2025-12-04T09:31:53.0580302Z             >>>     return z
2025-12-04T09:31:53.0580561Z             >>>
2025-12-04T09:31:53.0580823Z             >>> torch.cuda.synchronize()
2025-12-04T09:31:53.0581204Z             >>> print("====== Start nsys profiling ======")
2025-12-04T09:31:53.0581596Z             >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:31:53.0582009Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:31:53.0582436Z             >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:31:53.0582917Z             >>>     print("CUDA operations completed.")
2025-12-04T09:31:53.0583339Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:31:53.0583772Z             >>> print("====== End nsys profiling ======")
2025-12-04T09:31:53.0584114Z     
2025-12-04T09:31:53.0584434Z         To run this example and save the profiling information, execute:
2025-12-04T09:31:53.0585152Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:53.0585735Z     
2025-12-04T09:31:53.0586097Z         This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:31:53.0586682Z         the profiling information to a file named `trace_name.prof`.
2025-12-04T09:31:53.0587252Z         The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:31:53.0587776Z         after the `cudaProfilerStart` call in the script.
2025-12-04T09:31:53.0588272Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:31:53.0588777Z         CSV file and print a summary, respectively.
2025-12-04T09:31:53.0589285Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:31:53.0589810Z         overwrite of the output file if it already exists.
2025-12-04T09:31:53.0590171Z         
2025-12-04T09:31:53.0590965Z     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))
2025-12-04T09:31:53.0591827Z     
2025-12-04T09:31:53.0592288Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:53.0592854Z     ^
2025-12-04T09:31:53.0593074Z       warnings.warn(msg)
2025-12-04T09:31:53.0593321Z     
2025-12-04T09:31:53.0593666Z --- Parse Warning: 7 / 17 ---
2025-12-04T09:31:53.0595595Z     /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.
2025-12-04T09:31:53.0596834Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0597288Z     
2025-12-04T09:31:53.0597637Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:31:53.0598195Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:31:53.0598734Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:31:53.0599197Z     vectorizing those operations.
2025-12-04T09:31:53.0599495Z     
2025-12-04T09:31:53.0599822Z     vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:31:53.0600373Z     ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:31:53.0600924Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:31:53.0601450Z     compute batched gradients when composed with autograd.
2025-12-04T09:31:53.0601817Z     
2025-12-04T09:31:53.0602032Z     .. note::
2025-12-04T09:31:53.0602364Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:31:53.0602801Z         convenience. Use whichever one you'd like.
2025-12-04T09:31:53.0603141Z     
2025-12-04T09:31:53.0603347Z     Args:
2025-12-04T09:31:53.0603681Z         func (function): A Python function that takes one or more arguments.
2025-12-04T09:31:53.0604146Z             Must return one or more Tensors.
2025-12-04T09:31:53.0604588Z         in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:31:53.0605101Z             inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:31:53.0605589Z             structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:31:53.0606101Z             input is None, then that indicates there is no map dimension.
2025-12-04T09:31:53.0606579Z             Default: 0.
2025-12-04T09:31:53.0606947Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:31:53.0607870Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:31:53.0608435Z             it should have one element per output. Default: 0.
2025-12-04T09:31:53.0608896Z         randomness (str): Specifies whether the randomness in this
2025-12-04T09:31:53.0609426Z             vmap should be the same or different across batches. If 'different',
2025-12-04T09:31:53.0609981Z             the randomness for each batch will be different. If 'same', the
2025-12-04T09:31:53.0610535Z             randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:31:53.0611086Z             random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:31:53.0611642Z             only applies to random PyTorch operations and does not apply to
2025-12-04T09:31:53.0612120Z             Python's random module or numpy randomness.
2025-12-04T09:31:53.0612621Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:31:53.0613194Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:31:53.0613813Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:31:53.0614488Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:31:53.0614961Z     
2025-12-04T09:31:53.0615165Z     Returns:
2025-12-04T09:31:53.0615494Z         Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:31:53.0615989Z         ``func``, except each input has an extra dimension at the index
2025-12-04T09:31:53.0616500Z         specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:31:53.0617005Z         ``func``, except each output has an extra dimension at the index
2025-12-04T09:31:53.0617431Z         specified by ``out_dims``.
2025-12-04T09:31:53.0617710Z     
2025-12-04T09:31:53.0618062Z     .. warning:
2025-12-04T09:31:53.0618423Z         :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:31:53.0618938Z         perform any side-effects in ``func``, with the exception of
2025-12-04T09:31:53.0619494Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:31:53.0620102Z         Python data structures and assigning values to variables not captured
2025-12-04T09:31:53.0620551Z         in ``func``.
2025-12-04T09:31:53.0620781Z     
2025-12-04T09:31:53.0621149Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:31:53.0621741Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:31:53.0622311Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:31:53.0622744Z     
2025-12-04T09:31:53.0622976Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:53.0623401Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:31:53.0623871Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:53.0624226Z         >>> batched_dot(x, y)
2025-12-04T09:31:53.0624503Z     
2025-12-04T09:31:53.0624858Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:31:53.0625330Z     model authoring experience.
2025-12-04T09:31:53.0625619Z     
2025-12-04T09:31:53.0625844Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:53.0626261Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:53.0626652Z         >>>
2025-12-04T09:31:53.0626882Z         >>> def model(feature_vec):
2025-12-04T09:31:53.0627242Z         >>> # Very simple linear model with activation
2025-12-04T09:31:53.0627630Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:53.0627954Z         >>>
2025-12-04T09:31:53.0628339Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:53.0628750Z         >>> result = torch.vmap(model)(examples)
2025-12-04T09:31:53.0629065Z     
2025-12-04T09:31:53.0629451Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:31:53.0630080Z     or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:31:53.0630688Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:31:53.0631268Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:31:53.0631882Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:31:53.0632510Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:31:53.0632974Z     call to ``autograd.grad``.
2025-12-04T09:31:53.0633253Z     
2025-12-04T09:31:53.0633459Z         >>> # Setup
2025-12-04T09:31:53.0633683Z         >>> N = 5
2025-12-04T09:31:53.0633931Z         >>> f = lambda x: x**2
2025-12-04T09:31:53.0634248Z         >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:31:53.0634581Z         >>> y = f(x)
2025-12-04T09:31:53.0634826Z         >>> I_N = torch.eye(N)
2025-12-04T09:31:53.0635099Z         >>>
2025-12-04T09:31:53.0635336Z         >>> # Sequential approach
2025-12-04T09:31:53.0635751Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:31:53.0636211Z         >>>                  for v in I_N.unbind()]
2025-12-04T09:31:53.0636574Z         >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:31:53.0636894Z         >>>
2025-12-04T09:31:53.0637151Z         >>> # vectorized gradient computation
2025-12-04T09:31:53.0637487Z         >>> def get_vjp(v):
2025-12-04T09:31:53.0637787Z         >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:31:53.0638160Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:31:53.0638483Z     
2025-12-04T09:31:53.0638873Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:31:53.0639454Z     
2025-12-04T09:31:53.0639686Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:53.0640018Z         >>> batched_dot = torch.vmap(
2025-12-04T09:31:53.0640331Z         ...     torch.vmap(torch.dot)
2025-12-04T09:31:53.0640668Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:31:53.0641053Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:31:53.0641439Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:31:53.0641777Z     
2025-12-04T09:31:53.0642149Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:31:53.0642670Z     the dimension that each inputs are batched along as
2025-12-04T09:31:53.0643027Z     
2025-12-04T09:31:53.0643253Z         >>> torch.dot  # [N], [N] -> []
2025-12-04T09:31:53.0643703Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:31:53.0644179Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:53.0644527Z         >>> batched_dot(
2025-12-04T09:31:53.0644787Z         ...     x, y
2025-12-04T09:31:53.0645127Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:31:53.0645528Z     
2025-12-04T09:31:53.0645912Z     If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:31:53.0646497Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:31:53.0646913Z     
2025-12-04T09:31:53.0647137Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:53.0647598Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:31:53.0648078Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:53.0648553Z         >>> batched_dot(
2025-12-04T09:31:53.0648816Z         ...     x, y
2025-12-04T09:31:53.0649159Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:31:53.0649646Z     
2025-12-04T09:31:53.0650019Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:31:53.0650489Z     matching the shape of the input:
2025-12-04T09:31:53.0650791Z     
2025-12-04T09:31:53.0651060Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:31:53.0651439Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:53.0651783Z         >>> input = {"x": x, "y": y}
2025-12-04T09:31:53.0652174Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:31:53.0652581Z         >>> batched_dot(input)
2025-12-04T09:31:53.0652841Z     
2025-12-04T09:31:53.0653241Z     By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:31:53.0653778Z     along any dimension by using ``out_dims``
2025-12-04T09:31:53.0654091Z     
2025-12-04T09:31:53.0654308Z         >>> f = lambda x: x**2
2025-12-04T09:31:53.0654604Z         >>> x = torch.randn(2, 5)
2025-12-04T09:31:53.0654928Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:31:53.0655287Z         >>> batched_pow(x)  # [5, 2]
2025-12-04T09:31:53.0655585Z     
2025-12-04T09:31:53.0655995Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:31:53.0656521Z     accept kwargs
2025-12-04T09:31:53.0656757Z     
2025-12-04T09:31:53.0656975Z         >>> x = torch.randn([2, 5])
2025-12-04T09:31:53.0657274Z         >>> def fn(x, scale=4.):
2025-12-04T09:31:53.0657571Z         >>>   return x * scale
2025-12-04T09:31:53.0657842Z         >>>
2025-12-04T09:31:53.0658073Z         >>> batched_pow = torch.vmap(fn)
2025-12-04T09:31:53.0658444Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:31:53.0658938Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:31:53.0659365Z     
2025-12-04T09:31:53.0659582Z     .. note::
2025-12-04T09:31:53.0659958Z         vmap does not provide general autobatching or handle variable-length
2025-12-04T09:31:53.0660494Z         sequences out of the box.
2025-12-04T09:31:53.0660795Z     
2025-12-04T09:31:53.0661454Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:31:53.0662193Z     
2025-12-04T09:31:53.0662390Z     _._ = None
2025-12-04T09:31:53.0662621Z     ^
2025-12-04T09:31:53.0662846Z       warnings.warn(msg)
2025-12-04T09:31:53.0663098Z     
2025-12-04T09:31:53.0663490Z --- Parse Warning: 8 / 17 ---
2025-12-04T09:31:53.0664606Z     /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.
2025-12-04T09:31:53.0665819Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0666450Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:31:53.0667033Z         input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:31:53.0667477Z         compute higher-order gradients.
2025-12-04T09:31:53.0667778Z     
2025-12-04T09:31:53.0667986Z         Args:
2025-12-04T09:31:53.0668348Z             func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:31:53.0668954Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:31:53.0669629Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:31:53.0670127Z                 ``(output, aux)``.
2025-12-04T09:31:53.0670615Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:31:53.0671225Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:31:53.0671865Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:31:53.0672392Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:31:53.0672754Z     
2025-12-04T09:31:53.0672961Z         Returns:
2025-12-04T09:31:53.0673400Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:31:53.0674040Z             the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:31:53.0674690Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:31:53.0675353Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:31:53.0675887Z             respect to each ``argnums`` value is returned.
2025-12-04T09:31:53.0676227Z     
2025-12-04T09:31:53.0676454Z         Example of using ``grad``:
2025-12-04T09:31:53.0676746Z     
2025-12-04T09:31:53.0676954Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:53.0677286Z             >>> from torch.func import grad
2025-12-04T09:31:53.0677623Z             >>> x = torch.randn([])
2025-12-04T09:31:53.0677952Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:31:53.0678334Z             >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:31:53.0678666Z             >>>
2025-12-04T09:31:53.0678921Z             >>> # Second-order gradients
2025-12-04T09:31:53.0679287Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:31:53.0679703Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:31:53.0680042Z     
2025-12-04T09:31:53.0680405Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:31:53.0680875Z     
2025-12-04T09:31:53.0681094Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:53.0681415Z             >>> from torch.func import grad, vmap
2025-12-04T09:31:53.0681781Z             >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:53.0682113Z             >>>
2025-12-04T09:31:53.0682428Z             >>> def model(weights, feature_vec):
2025-12-04T09:31:53.0682812Z             >>> # Very simple linear model with activation
2025-12-04T09:31:53.0683192Z             >>>     assert feature_vec.dim() == 1
2025-12-04T09:31:53.0683567Z             >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:53.0683897Z             >>>
2025-12-04T09:31:53.0684187Z             >>> def compute_loss(weights, example, target):
2025-12-04T09:31:53.0684574Z             >>>     y = model(weights, example)
2025-12-04T09:31:53.0684939Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:31:53.0685283Z             >>>
2025-12-04T09:31:53.0685605Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:53.0686056Z             >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:53.0686458Z             >>> targets = torch.randn(batch_size)
2025-12-04T09:31:53.0686833Z             >>> inputs = (weights, examples, targets)
2025-12-04T09:31:53.0687321Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:31:53.0687770Z             ...     *inputs
2025-12-04T09:31:53.0688036Z             ... )
2025-12-04T09:31:53.0688366Z     
2025-12-04T09:31:53.0688656Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:31:53.0689041Z     
2025-12-04T09:31:53.0689265Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:53.0689571Z             >>> from torch.func import grad
2025-12-04T09:31:53.0689917Z             >>> def my_loss_func(y, y_pred):
2025-12-04T09:31:53.0690283Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:31:53.0690649Z             >>>    loss = loss_per_sample.mean()
2025-12-04T09:31:53.0691021Z             >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:31:53.0691356Z             >>>
2025-12-04T09:31:53.0691653Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:31:53.0692113Z             >>> y_true = torch.rand(4)
2025-12-04T09:31:53.0692477Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:31:53.0692855Z             >>> out = fn(y_true, y_preds)
2025-12-04T09:31:53.0693325Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:31:53.0693796Z     
2025-12-04T09:31:53.0694017Z         .. note::
2025-12-04T09:31:53.0694331Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:31:53.0694711Z     
2025-12-04T09:31:53.0694981Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:31:53.0695335Z     
2025-12-04T09:31:53.0695546Z                 >>> # xdoctest: +SKIP
2025-12-04T09:31:53.0695852Z                 >>> def f(x):
2025-12-04T09:31:53.0696147Z                 >>>     with torch.no_grad():
2025-12-04T09:31:53.0696461Z                 >>>         c = x ** 2
2025-12-04T09:31:53.0696789Z                 >>>     return x - c
2025-12-04T09:31:53.0697083Z     
2025-12-04T09:31:53.0697398Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:31:53.0697814Z     
2025-12-04T09:31:53.0698128Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:31:53.0698518Z     
2025-12-04T09:31:53.0698747Z                 >>> # xdoctest: +SKIP
2025-12-04T09:31:53.0699076Z                 >>> with torch.no_grad():
2025-12-04T09:31:53.0699389Z                 >>>     grad(f)(x)
2025-12-04T09:31:53.0699677Z     
2025-12-04T09:31:53.0700028Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:31:53.0700618Z             outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:31:53.0701191Z             should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:31:53.0701636Z     
2025-12-04T09:31:53.0701844Z         
2025-12-04T09:31:53.0702577Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:31:53.0703313Z     
2025-12-04T09:31:53.0703527Z     _._ = None
2025-12-04T09:31:53.0711862Z     ^
2025-12-04T09:31:53.0712211Z       warnings.warn(msg)
2025-12-04T09:31:53.0712500Z     
2025-12-04T09:31:53.0712897Z --- Parse Warning: 9 / 17 ---
2025-12-04T09:31:53.0714128Z     /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.
2025-12-04T09:31:53.0715496Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0716063Z     Register a FakeTensor implementation for this custom op.
2025-12-04T09:31:53.0716454Z     
2025-12-04T09:31:53.0716820Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:31:53.0717303Z     
2025-12-04T09:31:53.0717659Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:31:53.0718238Z             specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:31:53.0718763Z             Given some input Tensors with certain properties
2025-12-04T09:31:53.0719311Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:31:53.0719815Z             the output Tensors are.
2025-12-04T09:31:53.0720100Z     
2025-12-04T09:31:53.0720435Z             Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:31:53.0720858Z     
2025-12-04T09:31:53.0721053Z             Args:
2025-12-04T09:31:53.0721386Z                 fn (Callable): The function to register as the FakeTensor
2025-12-04T09:31:53.0721794Z                     implementation.
2025-12-04T09:31:53.0722074Z     
2025-12-04T09:31:53.0722538Z             Examples:
2025-12-04T09:31:53.0722808Z                 >>> import torch
2025-12-04T09:31:53.0723100Z                 >>> import numpy as np
2025-12-04T09:31:53.0723439Z                 >>> from torch import Tensor
2025-12-04T09:31:53.0723758Z                 >>>
2025-12-04T09:31:53.0724091Z                 >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:53.0724621Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:31:53.0725142Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:53.0725600Z                 >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:53.0725918Z                 >>>
2025-12-04T09:31:53.0726180Z                 >>> @linear.register_fake
2025-12-04T09:31:53.0726520Z                 >>> def _(x, weight, bias):
2025-12-04T09:31:53.0726841Z                 >>>     assert x.dim() == 2
2025-12-04T09:31:53.0727183Z                 >>>     assert weight.dim() == 2
2025-12-04T09:31:53.0727545Z                 >>>     assert bias.dim() == 1
2025-12-04T09:31:53.0727903Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:53.0728410Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:53.0728805Z                 >>>     assert x.device == weight.device
2025-12-04T09:31:53.0729208Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:31:53.0729563Z                 >>>
2025-12-04T09:31:53.0729831Z                 >>> x = torch.randn(2, 2)
2025-12-04T09:31:53.0730174Z                 >>> weight = torch.randn(2, 2)
2025-12-04T09:31:53.0730510Z                 >>> bias = torch.randn(2)
2025-12-04T09:31:53.0730878Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:53.0731347Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:31:53.0731817Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:53.0732438Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:31:53.0732916Z                 >>>
2025-12-04T09:31:53.0733258Z                 >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:53.0733766Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:31:53.0734224Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:53.0734593Z                 >>>     x_np = x.cpu().numpy()
2025-12-04T09:31:53.0734955Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:53.0735360Z                 >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:53.0735711Z                 >>>
2025-12-04T09:31:53.0735978Z                 >>> @nonzero.register_fake
2025-12-04T09:31:53.0736290Z                 >>> def _(x):
2025-12-04T09:31:53.0736637Z                 >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:53.0737098Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:31:53.0737548Z                 >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:53.0737981Z                 >>> # represents the data-dependent size.
2025-12-04T09:31:53.0738365Z                 >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:53.0738737Z                 >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:53.0739087Z                 >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:53.0739478Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:53.0739863Z                 >>>     return result
2025-12-04T09:31:53.0740148Z                 >>>
2025-12-04T09:31:53.0740423Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:31:53.0740810Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:53.0741219Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:31:53.0741737Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:53.0742147Z                 >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:31:53.0742487Z     
2025-12-04T09:31:53.0742681Z             
2025-12-04T09:31:53.0743365Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:31:53.0744113Z     
2025-12-04T09:31:53.0744307Z     _._ = None
2025-12-04T09:31:53.0744534Z     ^
2025-12-04T09:31:53.0744757Z       warnings.warn(msg)
2025-12-04T09:31:53.0745007Z     
2025-12-04T09:31:53.0745380Z --- Parse Warning: 10 / 17 ---
2025-12-04T09:31:53.0746624Z     /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.
2025-12-04T09:31:53.0748018Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:31:53.0748496Z     
2025-12-04T09:31:53.0748858Z     Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:31:53.0749476Z     kernel registration will override any existing fake kernel registrations.
2025-12-04T09:31:53.0749927Z     
2025-12-04T09:31:53.0750271Z     The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:31:53.0750864Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:31:53.0751427Z     are a record of the input and output tensor metadata. Based on this
2025-12-04T09:31:53.0752002Z     information we will match a given input to the recorded profile, and return
2025-12-04T09:31:53.0752609Z     an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:31:53.0753114Z     doesn't exist then an exception will be thrown.
2025-12-04T09:31:53.0753451Z     
2025-12-04T09:31:53.0753816Z     The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:31:53.0754484Z     rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:31:53.0755093Z     variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:31:53.0755736Z     fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:31:53.0756372Z     possible that data-dependent operations may produce outputs of different
2025-12-04T09:31:53.0756978Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:31:53.0757547Z     are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:31:53.0758000Z     potentially unsafe.
2025-12-04T09:31:53.0758262Z     
2025-12-04T09:31:53.0758459Z     Args:
2025-12-04T09:31:53.0758815Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:31:53.0759379Z             name to a set of operator profiles from which we will generate fake
2025-12-04T09:31:53.0759795Z             kernels.
2025-12-04T09:31:53.0760037Z     
2025-12-04T09:31:53.0760248Z     Examples:
2025-12-04T09:31:53.0760460Z     
2025-12-04T09:31:53.0760759Z         >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:31:53.0761153Z         >>> import torch
2025-12-04T09:31:53.0761500Z         >>> from torch.export._draft_export import draft_export
2025-12-04T09:31:53.0761863Z         >>>
2025-12-04T09:31:53.0762184Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:31:53.0762621Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:31:53.0762956Z         >>>     return x + y
2025-12-04T09:31:53.0763231Z         >>>
2025-12-04T09:31:53.0763474Z         >>> class M(torch.nn.Module):
2025-12-04T09:31:53.0763793Z         >>>     def forward(self, a, b):
2025-12-04T09:31:53.0764172Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:31:53.0764608Z         >>>         return res
2025-12-04T09:31:53.0764868Z         >>>
2025-12-04T09:31:53.0765180Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:31:53.0765567Z         >>>
2025-12-04T09:31:53.0766003Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:31:53.0766555Z         >>>     decomp = ep.run_decompositions()
2025-12-04T09:31:53.0766886Z     
2025-12-04T09:31:53.0767095Z     
2025-12-04T09:31:53.0767690Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:31:53.0768496Z     
2025-12-04T09:31:53.0768725Z       warnings.warn(msg)
2025-12-04T09:31:53.0768978Z     
2025-12-04T09:31:53.0769323Z --- Parse Warning: 11 / 17 ---
2025-12-04T09:31:53.0770796Z     /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.
2025-12-04T09:31:53.0772389Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0772841Z     
2025-12-04T09:31:53.0773237Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:31:53.0773879Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:31:53.0774496Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:31:53.0774962Z     input by the user.
2025-12-04T09:31:53.0775362Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:31:53.0775882Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:31:53.0776231Z     
2025-12-04T09:31:53.0776442Z     Note::
2025-12-04T09:31:53.0776908Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:31:53.0777437Z     
2025-12-04T09:31:53.0777726Z     Args:
2025-12-04T09:31:53.0777960Z         model (nn.Module):
2025-12-04T09:31:53.0778363Z             The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:31:53.0778972Z             sparsified should be added separately using the register_layer() function
2025-12-04T09:31:53.0779477Z         aggregate_fn (Optional, Callable):
2025-12-04T09:31:53.0779985Z             default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:31:53.0780538Z             specifies how inputs should be aggregated over time.
2025-12-04T09:31:53.0781126Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:31:53.0781634Z             Example
2025-12-04T09:31:53.0781956Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:31:53.0782389Z                 reduce_fn (Optional, Callable):
2025-12-04T09:31:53.0782891Z                     default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:31:53.0783545Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:31:53.0784041Z                     calling agg_fn() on all inputs.
2025-12-04T09:31:53.0784390Z                     Example
2025-12-04T09:31:53.0784770Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:31:53.0785217Z                 mask_fn (Optional, Callable):
2025-12-04T09:31:53.0785755Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:31:53.0786457Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:31:53.0786948Z                     register_layer().
2025-12-04T09:31:53.0787510Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:31:53.0788152Z                     arguments.
2025-12-04T09:31:53.0788458Z                 features (Optional, list):
2025-12-04T09:31:53.0788824Z                     default selected features to sparsify.
2025-12-04T09:31:53.0789352Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:31:53.0789859Z                     For example,
2025-12-04T09:31:53.0790318Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:31:53.0790814Z                 feature_dim (Optional, int):
2025-12-04T09:31:53.0791334Z                     default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:31:53.0791852Z                     for sparsification.
2025-12-04T09:31:53.0792180Z                 sparse_config (Dict):
2025-12-04T09:31:53.0792612Z                     Default configuration for the mask_fn. This config will be passed
2025-12-04T09:31:53.0793079Z                     with the mask_fn()
2025-12-04T09:31:53.0793376Z     
2025-12-04T09:31:53.0793571Z     Example:
2025-12-04T09:31:53.0793811Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:53.0794105Z         >>> model = SomeModel()
2025-12-04T09:31:53.0794536Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:31:53.0795027Z         >>> # Initialize aggregate_fn
2025-12-04T09:31:53.0795348Z         >>> def agg_fn(x, y):
2025-12-04T09:31:53.0795638Z         >>>     return x + y
2025-12-04T09:31:53.0795908Z         >>>
2025-12-04T09:31:53.0796145Z         >>> # Initialize reduce_fn
2025-12-04T09:31:53.0796445Z         >>> def reduce_fn(x):
2025-12-04T09:31:53.0796755Z         >>>     return torch.mean(x, dim=0)
2025-12-04T09:31:53.0797075Z         >>>
2025-12-04T09:31:53.0797298Z         >>> # Initialize mask_fn
2025-12-04T09:31:53.0797608Z         >>> def mask_fn(data):
2025-12-04T09:31:53.0797959Z         >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:31:53.0798392Z         >>>
2025-12-04T09:31:53.0798595Z         >>>
2025-12-04T09:31:53.0798850Z         >>> act_sparsifier.register_layer(
2025-12-04T09:31:53.0799192Z         ...     model.some_layer,
2025-12-04T09:31:53.0799492Z         ...     aggregate_fn=agg_fn,
2025-12-04T09:31:53.0799810Z         ...     reduce_fn=reduce_fn,
2025-12-04T09:31:53.0800121Z         ...     mask_fn=mask_fn,
2025-12-04T09:31:53.0800387Z         ... )
2025-12-04T09:31:53.0800608Z         >>>
2025-12-04T09:31:53.0800842Z         >>> # start training process
2025-12-04T09:31:53.0801138Z         >>> for _ in [...]:
2025-12-04T09:31:53.0801420Z         >>> # epoch starts
2025-12-04T09:31:53.0801777Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:31:53.0802160Z         >>> # epoch ends
2025-12-04T09:31:53.0802439Z         >>>     act_sparsifier.step()
2025-12-04T09:31:53.0802761Z         >>> # end training process
2025-12-04T09:31:53.0803066Z         >>> sparsifier.squash_mask()
2025-12-04T09:31:53.0803367Z     
2025-12-04T09:31:53.0804001Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:31:53.0804712Z     
2025-12-04T09:31:53.0804901Z     _._ = None
2025-12-04T09:31:53.0805123Z     ^
2025-12-04T09:31:53.0805340Z       warnings.warn(msg)
2025-12-04T09:31:53.0805589Z     
2025-12-04T09:31:53.0805924Z --- Parse Warning: 12 / 17 ---
2025-12-04T09:31:53.0807495Z     /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.
2025-12-04T09:31:53.0808934Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0809401Z     
2025-12-04T09:31:53.0809805Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:31:53.0810691Z     The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:31:53.0811176Z     ``mesh_dim_names``
2025-12-04T09:31:53.0811428Z     
2025-12-04T09:31:53.0811632Z     Args:
2025-12-04T09:31:53.0811992Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:31:53.0812548Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:31:53.0812947Z     Returns:
2025-12-04T09:31:53.0813179Z         A :class:`DeviceMesh` object
2025-12-04T09:31:53.0813477Z     
2025-12-04T09:31:53.0813890Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:31:53.0814411Z     In the first example:
2025-12-04T09:31:53.0814841Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:31:53.0815476Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:31:53.0816093Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:31:53.0816664Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:31:53.0817247Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:31:53.0817827Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:31:53.0818261Z     
2025-12-04T09:31:53.0818471Z     In the second example:
2025-12-04T09:31:53.0818930Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:31:53.0819597Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:31:53.0820250Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:31:53.0820998Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:31:53.0821479Z     
2025-12-04T09:31:53.0821696Z     Example::
2025-12-04T09:31:53.0821903Z     
2025-12-04T09:31:53.0822136Z         >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:31:53.0822543Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:31:53.0822914Z         >>>
2025-12-04T09:31:53.0823249Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:31:53.0823730Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:31:53.0824245Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:53.0824739Z         >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:31:53.0825053Z         >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:31:53.0825350Z         >>>
2025-12-04T09:31:53.0825567Z         >>> # Initialize a 3D mesh.
2025-12-04T09:31:53.0826063Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:31:53.0826780Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:31:53.0827329Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:31:53.0827680Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:31:53.0827994Z     
2025-12-04T09:31:53.0828793Z     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))
2025-12-04T09:31:53.0829682Z     
2025-12-04T09:31:53.0830056Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:53.0830564Z                                                                                      ^
2025-12-04T09:31:53.0830911Z       warnings.warn(msg)
2025-12-04T09:31:53.0831262Z     
2025-12-04T09:31:53.0831614Z --- Parse Warning: 13 / 17 ---
2025-12-04T09:31:53.0832838Z     /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.
2025-12-04T09:31:53.0834195Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0834656Z     
2025-12-04T09:31:53.0835068Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:31:53.0835564Z     
2025-12-04T09:31:53.0835983Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:31:53.0836498Z     
2025-12-04T09:31:53.0836891Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:53.0837425Z     will be visible to the whole process.
2025-12-04T09:31:53.0837747Z     
2025-12-04T09:31:53.0838159Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:31:53.0838646Z     
2025-12-04T09:31:53.0838895Z     1) set_up_planner - called on all ranks.
2025-12-04T09:31:53.0839266Z         Signals the start of a checkpoint save.
2025-12-04T09:31:53.0839586Z     
2025-12-04T09:31:53.0839839Z     2) create_local_plan - called on all ranks.
2025-12-04T09:31:53.0840386Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:31:53.0840875Z     
2025-12-04T09:31:53.0841186Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:53.0841708Z         Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:31:53.0842109Z     
2025-12-04T09:31:53.0842372Z     4) finish_plan - called on all ranks.
2025-12-04T09:31:53.0842832Z         This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:31:53.0843275Z     
2025-12-04T09:31:53.0843607Z     5) resolve_data - called multiple times on each rank
2025-12-04T09:31:53.0844098Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:31:53.0844516Z     
2025-12-04T09:31:53.0844934Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:31:53.0845566Z     most changes can be expressed by changes in a single method.
2025-12-04T09:31:53.0845958Z     
2025-12-04T09:31:53.0846196Z     There are 3 usual patterns of extension:
2025-12-04T09:31:53.0846523Z     
2025-12-04T09:31:53.0846901Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:31:53.0847519Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:31:53.0847945Z     
2025-12-04T09:31:53.0848292Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:53.0848675Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:31:53.0849028Z     >>>     def set_up_planner(
2025-12-04T09:31:53.0849318Z     >>>         self,
2025-12-04T09:31:53.0849593Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:53.0849941Z     >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:31:53.0850300Z     >>>         is_coordinator: bool,
2025-12-04T09:31:53.0850613Z     >>>     ) -> None:
2025-12-04T09:31:53.0850875Z     >>> # prefix all keys with `foo_``
2025-12-04T09:31:53.0851402Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:31:53.0851903Z     
2025-12-04T09:31:53.0852367Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:31:53.0852903Z     
2025-12-04T09:31:53.0853143Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:53.0853513Z     >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:31:53.0853862Z     >>>     def create_local_plan(self):
2025-12-04T09:31:53.0854281Z     >>>         plan = super().create_local_plan()
2025-12-04T09:31:53.0854632Z     >>>         for p in plan:
2025-12-04T09:31:53.0854932Z     >>>             if p.tensor_data is not None:
2025-12-04T09:31:53.0855344Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:31:53.0855735Z     >>>         return plan
2025-12-04T09:31:53.0855993Z     >>>
2025-12-04T09:31:53.0856240Z     >>>     def resolve_data(self, write_item):
2025-12-04T09:31:53.0856611Z     >>>         item = super().resolve_data(write_item)
2025-12-04T09:31:53.0857142Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:31:53.0857618Z     
2025-12-04T09:31:53.0858088Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:31:53.0858644Z     
2025-12-04T09:31:53.0858870Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:53.0859222Z     >>> from itertools import zip_longest
2025-12-04T09:31:53.0859573Z     >>> from dataclasses import replace
2025-12-04T09:31:53.0859967Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:31:53.0860540Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:31:53.0861080Z     >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:31:53.0861469Z     >>>     def create_global_plan(self, all_plans):
2025-12-04T09:31:53.0861864Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:31:53.0862248Z     >>>         items_per_rank = [
2025-12-04T09:31:53.0862598Z     >>>             [item for item in items if item is not None]
2025-12-04T09:31:53.0863011Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:31:53.0863383Z     >>>         ]
2025-12-04T09:31:53.0863624Z     >>>         all_plans = [
2025-12-04T09:31:53.0863919Z     >>>             replace(plan, items=items)
2025-12-04T09:31:53.0864355Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:31:53.0864829Z     >>>         ]
2025-12-04T09:31:53.0865126Z     >>>         return super().create_global_plan(all_plans)
2025-12-04T09:31:53.0865463Z     
2025-12-04T09:31:53.0865856Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:31:53.0866540Z     accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:31:53.0867050Z     the global planner aggregate them:
2025-12-04T09:31:53.0867358Z     
2025-12-04T09:31:53.0867595Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:53.0867982Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:31:53.0868404Z     >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:31:53.0868781Z     >>>         plan = super().create_local_plan()
2025-12-04T09:31:53.0869192Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:31:53.0869555Z     >>>
2025-12-04T09:31:53.0869998Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:31:53.0870634Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:31:53.0871117Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:31:53.0871582Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:31:53.0872001Z     >>>         return global_plan, metadata
2025-12-04T09:31:53.0872302Z     
2025-12-04T09:31:53.0872960Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:31:53.0873700Z     
2025-12-04T09:31:53.0873903Z     _._ = None
2025-12-04T09:31:53.0874114Z     ^
2025-12-04T09:31:53.0874334Z       warnings.warn(msg)
2025-12-04T09:31:53.0874597Z     
2025-12-04T09:31:53.0874938Z --- Parse Warning: 14 / 17 ---
2025-12-04T09:31:53.0876244Z     /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.
2025-12-04T09:31:53.0877606Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0878077Z     
2025-12-04T09:31:53.0878481Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:31:53.0878991Z     
2025-12-04T09:31:53.0879410Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:31:53.0879908Z     
2025-12-04T09:31:53.0880320Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:53.0880862Z     will be visible to the whole process.
2025-12-04T09:31:53.0881171Z     
2025-12-04T09:31:53.0881580Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:31:53.0882091Z     
2025-12-04T09:31:53.0882332Z     1) set_up_planner - called on all ranks.
2025-12-04T09:31:53.0882717Z         Signals the start of loading a checkpoint.
2025-12-04T09:31:53.0883059Z     
2025-12-04T09:31:53.0883310Z     2) create_local_plan - called on all ranks.
2025-12-04T09:31:53.0883844Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:31:53.0884351Z     
2025-12-04T09:31:53.0884659Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:53.0885160Z         Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:31:53.0885567Z     
2025-12-04T09:31:53.0885835Z     4) load_bytes - called multiple times on each rank
2025-12-04T09:31:53.0886267Z         This is called once per non-tensor value in state_dict.
2025-12-04T09:31:53.0886363Z     
2025-12-04T09:31:53.0886592Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:31:53.0886862Z         They are called in pair for each Tensor value in state_dict.
2025-12-04T09:31:53.0886945Z     
2025-12-04T09:31:53.0887257Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:31:53.0887460Z     most changes can be expressed by changes in a single method.
2025-12-04T09:31:53.0887541Z     
2025-12-04T09:31:53.0887673Z     There are two usual patterns of extension:
2025-12-04T09:31:53.0887770Z     
2025-12-04T09:31:53.0888030Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:31:53.0888396Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:31:53.0888647Z     to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:31:53.0888775Z     we need to be able to perform it in place
2025-12-04T09:31:53.0888870Z     
2025-12-04T09:31:53.0888988Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:53.0889132Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:31:53.0889256Z     >>>     def set_up_planner(
2025-12-04T09:31:53.0889345Z     >>>         self,
2025-12-04T09:31:53.0889462Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:53.0889578Z     >>>         metadata: Metadata,
2025-12-04T09:31:53.0889688Z     >>>         is_coordinator: bool,
2025-12-04T09:31:53.0889778Z     >>>     ) -> None:
2025-12-04T09:31:53.0889922Z     >>>         self.original_state_dict = state_dict
2025-12-04T09:31:53.0890101Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:31:53.0890198Z     >>>
2025-12-04T09:31:53.0890320Z     >>>         if self.flatten_sharded_tensors:
2025-12-04T09:31:53.0890480Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:31:53.0890576Z     >>>
2025-12-04T09:31:53.0890691Z     >>>         if self.flatten_state_dict:
2025-12-04T09:31:53.0890881Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:31:53.0891040Z     >>>
2025-12-04T09:31:53.0891158Z     >>>         self.state_dict = state_dict
2025-12-04T09:31:53.0891266Z     >>>         self.metadata = metadata
2025-12-04T09:31:53.0891408Z     >>>         self.is_coordinator = is_coordinator
2025-12-04T09:31:53.0891490Z     >>>
2025-12-04T09:31:53.0891628Z     >>>     def load_bytes(self, read_item, value):
2025-12-04T09:31:53.0891734Z     >>> # Remove the "foo_" prefix
2025-12-04T09:31:53.0892060Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:31:53.0892156Z     
2025-12-04T09:31:53.0892237Z     
2025-12-04T09:31:53.0892501Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:31:53.0892594Z     
2025-12-04T09:31:53.0892711Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:53.0892872Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:31:53.0893011Z     >>>     def resolve_tensor(self, read_item):
2025-12-04T09:31:53.0893151Z     >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:31:53.0893315Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:31:53.0893400Z     >>>
2025-12-04T09:31:53.0893535Z     >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:31:53.0893707Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:31:53.0893789Z     
2025-12-04T09:31:53.0894337Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:31:53.0894434Z     
2025-12-04T09:31:53.0894520Z     _._ = None
2025-12-04T09:31:53.0894603Z     ^
2025-12-04T09:31:53.0894715Z       warnings.warn(msg)
2025-12-04T09:31:53.0894795Z     
2025-12-04T09:31:53.0895003Z --- Parse Warning: 15 / 17 ---
2025-12-04T09:31:53.0896073Z     /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.
2025-12-04T09:31:53.0896333Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0896429Z     
2025-12-04T09:31:53.0896639Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:31:53.0896841Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:31:53.0897066Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:31:53.0897296Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:31:53.0897521Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:31:53.0897610Z     follows:
2025-12-04T09:31:53.0897695Z     
2025-12-04T09:31:53.0897843Z         >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:31:53.0898091Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:31:53.0898227Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:31:53.0898453Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:31:53.0898678Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:31:53.0898790Z         >>>     state = fsdp.state_dict()
2025-12-04T09:31:53.0899019Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:31:53.0899261Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:31:53.0899515Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:31:53.0899619Z         >>> if dist.get_rank() == 0:
2025-12-04T09:31:53.0899805Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:31:53.0899960Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:31:53.0900138Z         >>>     model.load_state_dict(state_dict)
2025-12-04T09:31:53.0900378Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:31:53.0900637Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:31:53.0900732Z         >>> fsdp = FSDP(
2025-12-04T09:31:53.0900835Z         ...     model,
2025-12-04T09:31:53.0900972Z         ...     device_id=torch.cuda.current_device(),
2025-12-04T09:31:53.0901080Z         ...     auto_wrap_policy=...,
2025-12-04T09:31:53.0901198Z         ...     sync_module_states=True,
2025-12-04T09:31:53.0901283Z         ... )
2025-12-04T09:31:53.0901502Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:31:53.0901595Z     
2025-12-04T09:31:53.0901684Z     Attributes:
2025-12-04T09:31:53.0901887Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:31:53.0902107Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:31:53.0902272Z             ranks save the full state dict. (Default: ``False``)
2025-12-04T09:31:53.0902364Z     
2025-12-04T09:31:53.0902868Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:31:53.0902949Z     
2025-12-04T09:31:53.0903048Z     _._ = None
2025-12-04T09:31:53.0903130Z     ^
2025-12-04T09:31:53.0903228Z       warnings.warn(msg)
2025-12-04T09:31:53.0903323Z     
2025-12-04T09:31:53.0903516Z --- Parse Warning: 16 / 17 ---
2025-12-04T09:31:53.0904503Z     /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.
2025-12-04T09:31:53.0904769Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0904986Z     Register a parametrization to a tensor in a module.
2025-12-04T09:31:53.0905086Z     
2025-12-04T09:31:53.0905372Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:31:53.0905658Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:31:53.0905938Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:31:53.0906235Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:31:53.0906328Z     
2025-12-04T09:31:53.0906650Z         The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:31:53.0906903Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:31:53.0906996Z     
2025-12-04T09:31:53.0907601Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:31:53.0907746Z         ``module.parametrizations.weight``.
2025-12-04T09:31:53.0907843Z     
2025-12-04T09:31:53.0907985Z         The original tensor will be accessible under
2025-12-04T09:31:53.0908143Z         ``module.parametrizations.weight.original``.
2025-12-04T09:31:53.0908243Z     
2025-12-04T09:31:53.0908515Z         Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:31:53.0908632Z         on the same attribute.
2025-12-04T09:31:53.0908714Z     
2025-12-04T09:31:53.0908963Z         The training mode of a registered parametrization is updated on registration
2025-12-04T09:31:53.0909117Z         to match the training mode of the host module
2025-12-04T09:31:53.0909198Z     
2025-12-04T09:31:53.0909510Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:31:53.0909651Z         using the context manager :func:`cached`.
2025-12-04T09:31:53.0909733Z     
2025-12-04T09:31:53.0910129Z         A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:31:53.0910223Z     
2025-12-04T09:31:53.0910373Z         .. code-block:: python
2025-12-04T09:31:53.0910469Z     
2025-12-04T09:31:53.0910692Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:31:53.0910774Z     
2025-12-04T09:31:53.0911056Z         This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:31:53.0911275Z         is registered to compute the initial value of the original tensor.
2025-12-04T09:31:53.0911592Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:31:53.0911691Z     
2025-12-04T09:31:53.0912010Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:31:53.0912307Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:31:53.0912406Z     
2025-12-04T09:31:53.0912645Z         It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:31:53.0912908Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:31:53.0913150Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:31:53.0913232Z     
2025-12-04T09:31:53.0913590Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:31:53.0913725Z         with names ``original0``, ``original1``,...
2025-12-04T09:31:53.0913808Z     
2025-12-04T09:31:53.0913911Z         .. note::
2025-12-04T09:31:53.0913992Z     
2025-12-04T09:31:53.0914284Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:31:53.0914442Z             once to perform a number of consistency checks.
2025-12-04T09:31:53.0914717Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:31:53.0914939Z             and nothing will be called otherwise.
2025-12-04T09:31:53.0915022Z     
2025-12-04T09:31:53.0915111Z         .. note::
2025-12-04T09:31:53.0915210Z     
2025-12-04T09:31:53.0915422Z             In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:31:53.0915550Z             ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:31:53.0915869Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:31:53.0916128Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:31:53.0916240Z             to relax this.
2025-12-04T09:31:53.0916325Z     
2025-12-04T09:31:53.0916421Z         .. warning::
2025-12-04T09:31:53.0916518Z     
2025-12-04T09:31:53.0916805Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:31:53.0917073Z             will register a number of new parameters. If such parametrization is registered
2025-12-04T09:31:53.0917373Z             after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:31:53.0917579Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:31:53.0917673Z     
2025-12-04T09:31:53.0917759Z         Args:
2025-12-04T09:31:53.0917981Z             module (nn.Module): module on which to register the parametrization
2025-12-04T09:31:53.0918218Z             tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:31:53.0918323Z                 the parametrization
2025-12-04T09:31:53.0918534Z             parametrization (nn.Module): the parametrization to register
2025-12-04T09:31:53.0918637Z         Keyword args:
2025-12-04T09:31:53.0918861Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:31:53.0919063Z                 may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:31:53.0919406Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:31:53.0919527Z                 Enable this flag at your own risk.
2025-12-04T09:31:53.0919623Z     
2025-12-04T09:31:53.0919707Z         Raises:
2025-12-04T09:31:53.0920003Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:31:53.0920096Z     
2025-12-04T09:31:53.0920184Z         Examples:
2025-12-04T09:31:53.0920337Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:31:53.0920446Z             >>> import torch
2025-12-04T09:31:53.0920552Z             >>> import torch.nn as nn
2025-12-04T09:31:53.0920692Z             >>> import torch.nn.utils.parametrize as P
2025-12-04T09:31:53.0920786Z             >>>
2025-12-04T09:31:53.0920898Z             >>> class Symmetric(nn.Module):
2025-12-04T09:31:53.0921016Z             >>>     def forward(self, X):
2025-12-04T09:31:53.0921203Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:31:53.0921290Z             >>>
2025-12-04T09:31:53.0921418Z             >>>     def right_inverse(self, A):
2025-12-04T09:31:53.0921519Z             >>>         return A.triu()
2025-12-04T09:31:53.0921603Z             >>>
2025-12-04T09:31:53.0921717Z             >>> m = nn.Linear(5, 5)
2025-12-04T09:31:53.0921889Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:31:53.0922136Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:31:53.0922238Z             True
2025-12-04T09:31:53.0922340Z             >>> A = torch.rand(5, 5)
2025-12-04T09:31:53.0922471Z             >>> A = A + A.T  # A is now symmetric
2025-12-04T09:31:53.0922676Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:31:53.0922802Z             >>> print(torch.allclose(m.weight, A))
2025-12-04T09:31:53.0922903Z             True
2025-12-04T09:31:53.0922988Z     
2025-12-04T09:31:53.0923152Z             >>> class RankOne(nn.Module):
2025-12-04T09:31:53.0923279Z             >>>     def forward(self, x, y):
2025-12-04T09:31:53.0923429Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:31:53.0923568Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:31:53.0923669Z             >>>
2025-12-04T09:31:53.0923784Z             >>>     def right_inverse(self, Z):
2025-12-04T09:31:53.0923926Z             >>> # Project Z onto the rank 1 matrices
2025-12-04T09:31:53.0924083Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:31:53.0924204Z             >>> # Return rescaled singular vectors
2025-12-04T09:31:53.0924341Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:31:53.0924493Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:31:53.0924576Z             >>>
2025-12-04T09:31:53.0924749Z             >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:31:53.0924881Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:31:53.0924964Z             ... )
2025-12-04T09:31:53.0925187Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:31:53.0925271Z             1
2025-12-04T09:31:53.0925364Z     
2025-12-04T09:31:53.0925449Z         
2025-12-04T09:31:53.0925993Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:31:53.0926086Z     
2025-12-04T09:31:53.0926172Z     _._ = None
2025-12-04T09:31:53.0926254Z     ^
2025-12-04T09:31:53.0926366Z       warnings.warn(msg)
2025-12-04T09:31:53.0926447Z     
2025-12-04T09:31:53.0926674Z --- Parse Warning: 17 / 17 ---
2025-12-04T09:31:53.0927658Z     /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.
2025-12-04T09:31:53.0927970Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:53.0928264Z     Reduce learning rate when a metric has stopped improving.
2025-12-04T09:31:53.0928350Z     
2025-12-04T09:31:53.0928559Z         Models often benefit from reducing the learning rate by a factor
2025-12-04T09:31:53.0928767Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:31:53.0928968Z         quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:31:53.0929098Z         of epochs, the learning rate is reduced.
2025-12-04T09:31:53.0929196Z     
2025-12-04T09:31:53.0929282Z         Args:
2025-12-04T09:31:53.0929440Z             optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:31:53.0929603Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:31:53.0929773Z                 be reduced when the quantity monitored has stopped
2025-12-04T09:31:53.0929960Z                 decreasing; in `max` mode it will be reduced when the
2025-12-04T09:31:53.0930162Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:31:53.0930340Z             factor (float): Factor by which the learning rate will be
2025-12-04T09:31:53.0930496Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:31:53.0930721Z             patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:31:53.0930867Z                 which the learning rate will be reduced.
2025-12-04T09:31:53.0931103Z                 For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:31:53.0931478Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:31:53.0931703Z                 In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:31:53.0931940Z                 we have what is considered an intolerable epoch.
2025-12-04T09:31:53.0932214Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:31:53.0932403Z                 the learning rate is reduced at the end of this epoch.
2025-12-04T09:31:53.0932734Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:31:53.0933068Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:31:53.0933192Z                 the learning rate is not adjusted.
2025-12-04T09:31:53.0933291Z                 Default: 10.
2025-12-04T09:31:53.0933503Z             threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:31:53.0933672Z                 to only focus on significant changes. Default: 1e-4.
2025-12-04T09:31:53.0933852Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:31:53.0934040Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:31:53.0934187Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:31:53.0934359Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:31:53.0934546Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:31:53.0934722Z             cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:31:53.0934915Z                 normal operation after lr has been reduced. Default: 0.
2025-12-04T09:31:53.0935084Z             min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:31:53.0935250Z                 lower bound on the learning rate of all param groups
2025-12-04T09:31:53.0935400Z                 or each group respectively. Default: 0.
2025-12-04T09:31:53.0935584Z             eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:31:53.0935832Z                 between new and old lr is smaller than eps, the update is
2025-12-04T09:31:53.0935944Z                 ignored. Default: 1e-8.
2025-12-04T09:31:53.0936027Z     
2025-12-04T09:31:53.0936124Z         Example:
2025-12-04T09:31:53.0936227Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:53.0936460Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:31:53.0936633Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:31:53.0936739Z             >>> for epoch in range(10):
2025-12-04T09:31:53.0936835Z             >>>     train(...)
2025-12-04T09:31:53.0936958Z             >>>     val_loss = validate(...)
2025-12-04T09:31:53.0937112Z             >>> # Note that step should be called after validate()
2025-12-04T09:31:53.0937242Z             >>>     scheduler.step(val_loss)
2025-12-04T09:31:53.0937323Z     
2025-12-04T09:31:53.0937526Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:31:53.0937624Z         
2025-12-04T09:31:53.0938052Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:31:53.0938135Z     
2025-12-04T09:31:53.0938258Z         scheduler.step(val_loss)
2025-12-04T09:31:53.0938340Z        ^
2025-12-04T09:31:53.0938439Z       warnings.warn(msg)
2025-12-04T09:31:53.0938533Z     
2025-12-04T09:31:53.0938655Z 
2025-12-04T09:31:53.0938850Z === Found 10 run-time warnings ===
2025-12-04T09:31:53.0939041Z --- Runtime Warning: 1 / 10 ---
2025-12-04T09:31:53.0939243Z example = <DocTest(torch is_storage:0 ln 1157) at 0x7f936c92feb0>
2025-12-04T09:31:53.0940752Z     <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()
2025-12-04T09:31:53.0940898Z     
2025-12-04T09:31:53.0941099Z --- Runtime Warning: 2 / 10 ---
2025-12-04T09:31:53.0941368Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f936c7eb250>
2025-12-04T09:31:53.0942737Z     /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.)
2025-12-04T09:31:53.0942870Z       return super().refine_names(names)
2025-12-04T09:31:53.0942953Z     
2025-12-04T09:31:53.0943150Z --- Runtime Warning: 3 / 10 ---
2025-12-04T09:31:53.0943464Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 239) at 0x7f936c83e0e0>
2025-12-04T09:31:53.0944114Z     /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.
2025-12-04T09:31:53.0944444Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-12-04T09:31:53.0944652Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-12-04T09:31:53.0944972Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-12-04T09:31:53.0945071Z       dispatch key: CPU
2025-12-04T09:31:53.0945510Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-12-04T09:31:53.0946547Z            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.)
2025-12-04T09:31:53.0946763Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-12-04T09:31:53.0946857Z     
2025-12-04T09:31:53.0947048Z --- Runtime Warning: 4 / 10 ---
2025-12-04T09:31:53.0947292Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f936c77f4c0>
2025-12-04T09:31:53.0949199Z     /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.)
2025-12-04T09:31:53.0949450Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-12-04T09:31:53.0949543Z     
2025-12-04T09:31:53.0949740Z --- Runtime Warning: 5 / 10 ---
2025-12-04T09:31:53.0950001Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f936c92f7f0>
2025-12-04T09:31:53.0951680Z     <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.)
2025-12-04T09:31:53.0951764Z     
2025-12-04T09:31:53.0951962Z --- Runtime Warning: 6 / 10 ---
2025-12-04T09:31:53.0952276Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f936c83edd0>
2025-12-04T09:31:53.0953882Z     /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
2025-12-04T09:31:53.0954060Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-12-04T09:31:53.0954142Z     
2025-12-04T09:31:53.0954342Z --- Runtime Warning: 7 / 10 ---
2025-12-04T09:31:53.0954635Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f936c933640>
2025-12-04T09:31:53.0955749Z     /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)
2025-12-04T09:31:53.0955884Z       self.encoder = TransformerEncoder(
2025-12-04T09:31:53.0955968Z     
2025-12-04T09:31:53.0956166Z --- Runtime Warning: 8 / 10 ---
2025-12-04T09:31:53.0956506Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f936c933550>
2025-12-04T09:31:53.0957772Z     <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)
2025-12-04T09:31:53.0957856Z     
2025-12-04T09:31:53.0958041Z --- Runtime Warning: 9 / 10 ---
2025-12-04T09:31:53.0958336Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f936c7eb490>
2025-12-04T09:31:53.0959165Z     /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`.
2025-12-04T09:31:53.0959291Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:31:53.0959389Z     
2025-12-04T09:31:53.0959576Z --- Runtime Warning: 10 / 10 ---
2025-12-04T09:31:53.0959956Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f936c7e95a0>
2025-12-04T09:31:53.0960786Z     /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`.
2025-12-04T09:31:53.0960909Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:31:53.0961007Z     
2025-12-04T09:31:53.0961308Z === 378 passed, 516 skipped, 27 warnings in 24.88 seconds ===
2025-12-04T09:31:53.0961598Z Finished doctests 1/1 ... [2025-12-04 09:31:53.044268][1172.743539415], took 0.42min
2025-12-04T09:31:53.0961880Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:31:53.047211][1172.746495718]
2025-12-04T09:31:53.0961998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:53.0963114Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:53.047772]
2025-12-04T09:32:01.7463792Z 
2025-12-04T09:32:01.7464764Z 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_76d2706df2274ea3_.log
2025-12-04T09:32:01.7465558Z 
2025-12-04T09:32:01.7465898Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:32:01.746269][1181.445552852], took 0.14min
2025-12-04T09:32:01.7483459Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:32:01.748171][1181.447450241]
2025-12-04T09:32:01.7484002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:01.7489177Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:01.748596]
2025-12-04T09:32:10.9936268Z 
2025-12-04T09:32:10.9937144Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_cb3b9c03468b0c3a_.log
2025-12-04T09:32:10.9938044Z Running 0 items in this shard:
2025-12-04T09:32:10.9938253Z 
2025-12-04T09:32:10.9938591Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:32:10.993367][1190.692654363], took 0.15min
2025-12-04T09:32:10.9949244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-c0c058207208167c.xml
2025-12-04T09:32:11.0727781Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:32:11.072413][1190.7716972]
2025-12-04T09:32:11.0728409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:11.0731986Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:11.072869]
2025-12-04T09:32:20.0050309Z 
2025-12-04T09:32:20.0051366Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_419bfe2035ee338d_.log
2025-12-04T09:32:20.0052325Z Running 0 items in this shard:
2025-12-04T09:32:20.0052537Z 
2025-12-04T09:32:20.0052918Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:32:20.004794][1199.704075421], took 0.15min
2025-12-04T09:32:20.0065556Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-55a9a9a6f891a084.xml
2025-12-04T09:32:20.1112589Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:32:20.110909][1199.810192743]
2025-12-04T09:32:20.1113170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:20.1116290Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:20.111338]
2025-12-04T09:32:24.1112359Z 
2025-12-04T09:32:24.1113372Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_a99618dccf256d23_.log
2025-12-04T09:32:24.1114260Z Running 0 items in this shard:
2025-12-04T09:32:24.1114472Z 
2025-12-04T09:32:24.1114793Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:32:24.111051][1203.8103375], took 0.07min
2025-12-04T09:32:24.1128085Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-4b9053d4088a5777.xml
2025-12-04T09:32:24.1399763Z Running test_sort_and_select 1/1 ... [2025-12-04 09:32:24.139708][1203.838994083]
2025-12-04T09:32:24.1400247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:24.1403404Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:24.140097]
2025-12-04T09:32:27.9702460Z 
2025-12-04T09:32:27.9703487Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_ce9d2d52b24c8624_.log
2025-12-04T09:32:27.9704286Z Running 0 items in this shard:
2025-12-04T09:32:27.9704492Z 
2025-12-04T09:32:27.9704774Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:32:27.970025][1207.669311395], took 0.06min
2025-12-04T09:32:27.9721740Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-1a9dcb80e3b6e4cb.xml
2025-12-04T09:32:27.9936448Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:32:27.993300][1207.692584572]
2025-12-04T09:32:27.9936964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:27.9939353Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:27.993683]
2025-12-04T09:32:38.1220638Z 
2025-12-04T09:32:38.1221565Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_d41d61666f80cee2_.log
2025-12-04T09:32:38.1222370Z Running 0 items in this shard:
2025-12-04T09:32:38.1222604Z 
2025-12-04T09:32:38.1222911Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:32:38.121826][1217.821113824], took 0.17min
2025-12-04T09:32:38.1239894Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-e0ed18e4bec65125.xml
2025-12-04T09:32:38.2003254Z Running test_extension_utils 1/1 ... [2025-12-04 09:32:38.199936][1217.899220103]
2025-12-04T09:32:38.2003762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:38.2006305Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:38.200337]
2025-12-04T09:32:41.6642268Z 
2025-12-04T09:32:41.6643378Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_1d9839fee0be7269_.log
2025-12-04T09:32:41.6644578Z Running 0 items in this shard:
2025-12-04T09:32:41.6644779Z 
2025-12-04T09:32:41.6645094Z Finished test_extension_utils 1/1 ... [2025-12-04 09:32:41.664014][1221.36330173], took 0.06min
2025-12-04T09:32:41.6662332Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-5088b8e512793fd3.xml
2025-12-04T09:32:41.6921504Z Running test_show_pickle 1/1 ... [2025-12-04 09:32:41.691857][1221.391142643]
2025-12-04T09:32:41.6922003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:41.6925013Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:41.692244]
2025-12-04T09:32:45.1988718Z 
2025-12-04T09:32:45.1989640Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_5b712ac908c44049_.log
2025-12-04T09:32:45.1990434Z Running 0 items in this shard:
2025-12-04T09:32:45.1990634Z 
2025-12-04T09:32:45.1990915Z Finished test_show_pickle 1/1 ... [2025-12-04 09:32:45.198638][1224.897924752], took 0.06min
2025-12-04T09:32:45.2010815Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-7ff265a89c458993.xml
2025-12-04T09:32:45.2277924Z Running test_torch 1/1 ... [2025-12-04 09:32:45.227514][1224.926798248]
2025-12-04T09:32:45.2278380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:45.2281895Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:45.227931]
2025-12-04T09:33:12.5713854Z 
2025-12-04T09:33:12.5714997Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_46c8817b1efdfe96_.log
2025-12-04T09:33:12.5749734Z Running 150 items in this shard: test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup
2025-12-04T09:33:12.5783924Z 
2025-12-04T09:33:12.5784169Z Finished test_torch 1/1 ... [2025-12-04 09:33:12.571387][1252.270672659], took 0.46min
2025-12-04T09:33:12.5785127Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-c3b45a3bedafd8db.xml
2025-12-04T09:33:12.6568280Z Running test_tensorexpr 1/1 ... [2025-12-04 09:33:12.656464][1252.355746751]
2025-12-04T09:33:12.6568778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:12.6572047Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:12.656905]
2025-12-04T09:33:16.2640973Z 
2025-12-04T09:33:16.2641979Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_480128c61684eb54_.log
2025-12-04T09:33:16.2642745Z Running 0 items in this shard:
2025-12-04T09:33:16.2642959Z 
2025-12-04T09:33:16.2643235Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:33:16.263894][1255.963178906], took 0.06min
2025-12-04T09:33:16.2665540Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-84da59aafe5ec4fe.xml
2025-12-04T09:33:16.2928829Z Running test_utils 1/1 ... [2025-12-04 09:33:16.292624][1255.99190896]
2025-12-04T09:33:16.2929564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:16.2932797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:16.293035]
2025-12-04T09:33:21.5397384Z 
2025-12-04T09:33:21.5398201Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_7e05cf9f7d6abcf9_.log
2025-12-04T09:33:21.5425035Z Running 100 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed
2025-12-04T09:33:21.5450552Z 
2025-12-04T09:33:21.5450815Z Finished test_utils 1/1 ... [2025-12-04 09:33:21.539616][1261.238898018], took 0.09min
2025-12-04T09:33:21.5451758Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-9ffeffb4c4574dfc.xml
2025-12-04T09:33:21.5794314Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:33:21.579103][1261.278387294]
2025-12-04T09:33:21.5794859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:21.5798515Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:21.579554]
2025-12-04T09:33:25.1824534Z 
2025-12-04T09:33:25.1825527Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_e8e7ed0025f67bfe_.log
2025-12-04T09:33:25.1826394Z Running 0 items in this shard:
2025-12-04T09:33:25.1826609Z 
2025-12-04T09:33:25.1826924Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:33:25.182238][1264.881525674], took 0.06min
2025-12-04T09:33:25.1851587Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-9a45beb51a75cc12.xml
2025-12-04T09:33:25.2092856Z Running test_fake_tensor 1/1 ... [2025-12-04 09:33:25.208984][1264.908269598]
2025-12-04T09:33:25.2093724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:25.2096263Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:25.209363]
2025-12-04T09:33:34.7308759Z 
2025-12-04T09:33:34.7309756Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_a4a4e9594af6e4f6_.log
2025-12-04T09:33:34.7326377Z Running 50 items in this shard: test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to
2025-12-04T09:33:34.7342505Z 
2025-12-04T09:33:34.7342784Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:33:34.730695][1274.429979829], took 0.16min
2025-12-04T09:33:34.7343788Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-5622b66459f210a6.xml
2025-12-04T09:33:34.8130015Z Running test_multiprocessing 1/1 ... [2025-12-04 09:33:34.812706][1274.511991392]
2025-12-04T09:33:34.8130542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:33:34.8133591Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:34.813070]
2025-12-04T09:39:21.3363360Z 
2025-12-04T09:39:21.3364653Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_7b48db083417c3ff_.log
2025-12-04T09:39:21.3398723Z Running 100 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple
2025-12-04T09:39:21.3431828Z 
2025-12-04T09:39:21.3432148Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:39:21.336393][1621.035664801], took 5.78min
2025-12-04T09:39:21.3433241Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-517e2e355dcd42f2.xml
2025-12-04T09:39:21.4151210Z Running test_fx 1/1 ... [2025-12-04 09:39:21.414807][1621.114093602]
2025-12-04T09:39:21.4151678Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:21.4154979Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:21.415178]
2025-12-04T09:43:16.0754621Z 
2025-12-04T09:43:16.0755499Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_b4f999e44f366d0c_.log
2025-12-04T09:43:16.0781823Z Running 100 items in this shard: test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7
2025-12-04T09:43:16.0807741Z 
2025-12-04T09:43:16.0807984Z Finished test_fx 1/1 ... [2025-12-04 09:43:16.075313][1855.774597714], took 3.91min
2025-12-04T09:43:16.0808925Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-f7e8135c3f9e2523.xml
2025-12-04T09:43:16.1698205Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:43:16.169420][1855.868704114]
2025-12-04T09:43:16.1698727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:16.1701804Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:16.169875]
2025-12-04T09:43:19.5227388Z 
2025-12-04T09:43:19.5228277Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_a23de6e2abeffb62_.log
2025-12-04T09:43:19.5229106Z Running 0 items in this shard:
2025-12-04T09:43:19.5229302Z 
2025-12-04T09:43:19.5229613Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:43:19.522513][1859.221799765], took 0.06min
2025-12-04T09:43:19.5259967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-5115579203326ecc.xml
2025-12-04T09:43:19.5577592Z Running test_autocast 1/1 ... [2025-12-04 09:43:19.557478][1859.256764613]
2025-12-04T09:43:19.5578061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:19.5581181Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:19.557841]
2025-12-04T09:43:23.1433977Z 
2025-12-04T09:43:23.1434949Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_d1e857d2e9a4006d_.log
2025-12-04T09:43:23.1435702Z Running 0 items in this shard:
2025-12-04T09:43:23.1435948Z 
2025-12-04T09:43:23.1436458Z Finished test_autocast 1/1 ... [2025-12-04 09:43:23.143180][1862.842467015], took 0.06min
2025-12-04T09:43:23.1467603Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-2d6664617c4067f3.xml
2025-12-04T09:43:23.1743579Z Running test_python_dispatch 1/1 ... [2025-12-04 09:43:23.174079][1862.873365795]
2025-12-04T09:43:23.1744068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:23.1746933Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:23.174433]
2025-12-04T09:43:28.0446378Z 
2025-12-04T09:43:28.0447279Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_6fb435b2325e32cd_.log
2025-12-04T09:43:28.0448105Z Running 0 items in this shard:
2025-12-04T09:43:28.0448426Z 
2025-12-04T09:43:28.0448721Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:43:28.044449][1867.743734207], took 0.08min
2025-12-04T09:43:28.0481740Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-1970ac701fb025b4.xml
2025-12-04T09:43:28.0740918Z Running test_jit_disabled 1/1 ... [2025-12-04 09:43:28.073817][1867.773104091]
2025-12-04T09:43:28.0741417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:28.0744348Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:28.074167]
2025-12-04T09:43:31.3125211Z 
2025-12-04T09:43:31.3126105Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_224964cf03d18c0a_.log
2025-12-04T09:43:31.3127150Z Running 0 items in this shard:
2025-12-04T09:43:31.3127353Z 
2025-12-04T09:43:31.3127645Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:43:31.312334][1871.011620037], took 0.05min
2025-12-04T09:43:31.3162080Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-45285f00bb644115.xml
2025-12-04T09:43:31.3427844Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:43:31.342530][1871.041817576]
2025-12-04T09:43:31.3428391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:31.3431108Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:31.342862]
2025-12-04T09:43:34.5701647Z 
2025-12-04T09:43:34.5702672Z 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_7debbef968c9ebb5_.log
2025-12-04T09:43:34.5703584Z Running 0 items in this shard:
2025-12-04T09:43:34.5703785Z 
2025-12-04T09:43:34.5704124Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:43:34.569985][1874.269271547], took 0.05min
2025-12-04T09:43:34.5739809Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-abab4198d76b86d2.xml
2025-12-04T09:43:34.6031352Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:43:34.602902][1874.302188845]
2025-12-04T09:43:34.6031938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:34.6035275Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:34.603246]
2025-12-04T09:43:38.1898855Z 
2025-12-04T09:43:38.1900104Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_29466befc7fdd380_.log
2025-12-04T09:43:38.1901077Z Running 0 items in this shard:
2025-12-04T09:43:38.1901288Z 
2025-12-04T09:43:38.1901665Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:43:38.189694][1877.888981414], took 0.06min
2025-12-04T09:43:38.1938239Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-3e1a5fd285340ec4.xml
2025-12-04T09:43:38.2223111Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:43:38.222103][1877.921390568]
2025-12-04T09:43:38.2223640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:38.2226831Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:38.222433]
2025-12-04T09:43:41.8684606Z 
2025-12-04T09:43:41.8685705Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_2bef0038d5ba72a9_.log
2025-12-04T09:43:41.8686562Z Running 0 items in this shard:
2025-12-04T09:43:41.8686763Z 
2025-12-04T09:43:41.8687068Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:43:41.868260][1881.567547548], took 0.06min
2025-12-04T09:43:41.8725595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-8a07da569f7358fb.xml
2025-12-04T09:43:41.8977297Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:43:41.897427][1881.596714222]
2025-12-04T09:43:41.8977933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:41.8980137Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:41.897760]
2025-12-04T09:43:45.1312915Z 
2025-12-04T09:43:45.1313911Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_973e2cbe7cd31113_.log
2025-12-04T09:43:45.1314853Z Running 0 items in this shard:
2025-12-04T09:43:45.1315052Z 
2025-12-04T09:43:45.1315418Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:43:45.131074][1884.830361921], took 0.05min
2025-12-04T09:43:45.1354579Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-646c6a21669c3e47.xml
2025-12-04T09:43:45.1657925Z Running test_dispatch 1/1 ... [2025-12-04 09:43:45.165510][1884.864797201]
2025-12-04T09:43:45.1658405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:45.1661010Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:45.165851]
2025-12-04T09:43:48.4556490Z 
2025-12-04T09:43:48.4557546Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_062ee6cf087759cc_.log
2025-12-04T09:43:48.4558296Z Running 0 items in this shard:
2025-12-04T09:43:48.4558522Z 
2025-12-04T09:43:48.4559042Z Finished test_dispatch 1/1 ... [2025-12-04 09:43:48.455407][1888.15469446], took 0.05min
2025-12-04T09:43:48.4600166Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-b9776cfbc983b51f.xml
2025-12-04T09:43:48.4870470Z Running nn/test_convolution 1/1 ... [2025-12-04 09:43:48.486824][1888.186109659]
2025-12-04T09:43:48.4870967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:48.4874127Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:48.487167]
2025-12-04T09:43:52.4704373Z 
2025-12-04T09:43:52.4705278Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_7671c5ff403fc292_.log
2025-12-04T09:43:52.4706106Z Running 0 items in this shard:
2025-12-04T09:43:52.4706328Z 
2025-12-04T09:43:52.4706617Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:43:52.470184][1892.169471799], took 0.07min
2025-12-04T09:43:52.4748947Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-96810539252971d8.xml
2025-12-04T09:43:52.4961690Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:43:52.495892][1892.195179132]
2025-12-04T09:43:52.4962194Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:52.4964845Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:52.496237]
2025-12-04T09:43:56.1265090Z 
2025-12-04T09:43:56.1266549Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_a8a0d8b8e2017dd6_.log
2025-12-04T09:43:56.1267941Z Running 0 items in this shard:
2025-12-04T09:43:56.1268140Z 
2025-12-04T09:43:56.1268458Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:43:56.126241][1895.825527009], took 0.06min
2025-12-04T09:43:56.1310960Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-30f16872cf3c4740.xml
2025-12-04T09:43:56.1593743Z Running test_nn 1/1 ... [2025-12-04 09:43:56.159086][1895.858373702]
2025-12-04T09:43:56.1594386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:56.1597395Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:56.159440]
2025-12-04T09:44:02.2328958Z 
2025-12-04T09:44:02.2330057Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_5bf296c3e4b33e36_.log
2025-12-04T09:44:02.2330746Z Running 0 items in this shard:
2025-12-04T09:44:02.2330964Z 
2025-12-04T09:44:02.2331189Z Finished test_nn 1/1 ... [2025-12-04 09:44:02.232684][1901.931970316], took 0.10min
2025-12-04T09:44:02.2377400Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-e23972ce87c5551a.xml
2025-12-04T09:44:02.3486005Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:44:02.348267][1902.047553607]
2025-12-04T09:44:02.3486640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:02.3489971Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:02.348620]
2025-12-04T09:44:10.6413637Z 
2025-12-04T09:44:10.6414909Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_b41f03a0c2db7b25_.log
2025-12-04T09:44:10.6415785Z Running 0 items in this shard:
2025-12-04T09:44:10.6415983Z 
2025-12-04T09:44:10.6416320Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:44:10.641191][1910.340471094], took 0.14min
2025-12-04T09:44:10.6463762Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-0aa7e1737b051aab.xml
2025-12-04T09:44:10.7170138Z Running nn/test_pooling 1/1 ... [2025-12-04 09:44:10.716712][1910.415998817]
2025-12-04T09:44:10.7170811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:10.7174340Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:10.717097]
2025-12-04T09:44:14.3243278Z 
2025-12-04T09:44:14.3244626Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_c5a3a0364c92847a_.log
2025-12-04T09:44:14.3246057Z Running 0 items in this shard:
2025-12-04T09:44:14.3246422Z 
2025-12-04T09:44:14.3246938Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:44:14.324126][1914.023412125], took 0.06min
2025-12-04T09:44:14.3297004Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-6527edb78d8ef79f.xml
2025-12-04T09:44:14.3542710Z Running test_cuda_trace 1/1 ... [2025-12-04 09:44:14.354010][1914.053296778]
2025-12-04T09:44:14.3543503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:14.3547936Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:14.354417]
2025-12-04T09:44:17.5718216Z 
2025-12-04T09:44:17.5719383Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_50c8ade253406fe7_.log
2025-12-04T09:44:17.5720130Z Running 0 items in this shard:
2025-12-04T09:44:17.5720344Z 
2025-12-04T09:44:17.5720606Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:44:17.571620][1917.270908142], took 0.05min
2025-12-04T09:44:17.5772438Z Running test_native_mha 1/1 ... [2025-12-04 09:44:17.577046][1917.27633409]
2025-12-04T09:44:17.5773085Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:17.5776717Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:17.577398]
2025-12-04T09:44:21.1041099Z 
2025-12-04T09:44:21.1042191Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_e297381fa4fa04fa_.log
2025-12-04T09:44:21.1042948Z Running 0 items in this shard:
2025-12-04T09:44:21.1043156Z 
2025-12-04T09:44:21.1043419Z Finished test_native_mha 1/1 ... [2025-12-04 09:44:21.103904][1920.803192128], took 0.06min
2025-12-04T09:44:21.1092937Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-fee825468c7307e0.xml
2025-12-04T09:44:21.1823558Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:44:21.181945][1920.881230868]
2025-12-04T09:44:21.1824384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:21.1826620Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:21.182316]
2025-12-04T09:44:24.3874358Z 
2025-12-04T09:44:24.3875630Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_2596899d6766d49a_.log
2025-12-04T09:44:24.3876483Z Running 0 items in this shard:
2025-12-04T09:44:24.3876683Z 
2025-12-04T09:44:24.3877054Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:44:24.387224][1924.086512128], took 0.05min
2025-12-04T09:44:24.3931021Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:44:24.392863][1924.092151199]
2025-12-04T09:44:24.3931688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:24.3935089Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:24.393218]
2025-12-04T09:44:28.3443609Z 
2025-12-04T09:44:28.3445119Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_b0bdf8d9206d72dc_.log
2025-12-04T09:44:28.3479533Z Running 100 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures
2025-12-04T09:44:28.3514048Z 
2025-12-04T09:44:28.3514343Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:44:28.344319][1928.04360388], took 0.07min
2025-12-04T09:44:28.3515432Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-467619d816af0a5a.xml
2025-12-04T09:44:28.4301042Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:44:28.429760][1928.12904527]
2025-12-04T09:44:28.4301645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:28.4305173Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:28.430167]
2025-12-04T09:44:31.9698761Z 
2025-12-04T09:44:31.9699956Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_30e98e304fa853ef_.log
2025-12-04T09:44:31.9700745Z Running 0 items in this shard:
2025-12-04T09:44:31.9700959Z 
2025-12-04T09:44:31.9701249Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:44:31.969617][1931.668903451], took 0.06min
2025-12-04T09:44:31.9756271Z Running test_reductions 1/1 ... [2025-12-04 09:44:31.975395][1931.674683748]
2025-12-04T09:44:31.9756894Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:31.9760623Z 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', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:31.975777]
2025-12-04T09:44:36.6257336Z 
2025-12-04T09:44:36.6258539Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_baa8f0be5758b3b8_.log
2025-12-04T09:44:36.6259288Z Running 0 items in this shard:
2025-12-04T09:44:36.6259503Z 
2025-12-04T09:44:36.6259774Z Finished test_reductions 1/1 ... [2025-12-04 09:44:36.625536][1936.324822942], took 0.08min
2025-12-04T09:44:36.6313195Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-a30bed6f43d7d8de.xml
2025-12-04T09:44:36.7030948Z Running test_spectral_ops 1/1 ... [2025-12-04 09:44:36.702737][1936.402022131]
2025-12-04T09:44:36.7031678Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:36.7035033Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:36.703134]
2025-12-04T09:44:41.3423297Z 
2025-12-04T09:44:41.3424423Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_0a6cc5b4e6a9be49_.log
2025-12-04T09:44:41.3425729Z Running 0 items in this shard:
2025-12-04T09:44:41.3426007Z 
2025-12-04T09:44:41.3426282Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:44:41.342112][1941.041398349], took 0.08min
2025-12-04T09:44:41.3480496Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-3cb571b3ec674ac2.xml
2025-12-04T09:44:41.3730845Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:44:41.372823][1941.072099629]
2025-12-04T09:44:41.3731494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:41.3735014Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:41.373212]
2025-12-04T09:44:45.8778381Z 
2025-12-04T09:44:45.8779823Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_ac52e7a2c598799c_.log
2025-12-04T09:44:45.8799834Z Running 50 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample
2025-12-04T09:44:45.8819519Z 
2025-12-04T09:44:45.8819897Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:44:45.877614][1945.576900624], took 0.08min
2025-12-04T09:44:45.8844718Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-11d580e367d801fe.xml
2025-12-04T09:44:45.9173018Z Running test_autoload_disable 1/1 ... [2025-12-04 09:44:45.917020][1945.616306745]
2025-12-04T09:44:46.2487875Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:44:49.4723706Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:44:49.4744887Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:44:59.3734388Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:44:59.4007546Z [?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=5ce7ccf00b1b78e72ab678b75270a638582668c3488d16a1ad19d7a3b4917641
2025-12-04T09:44:59.4009399Z   Stored in directory: /tmp/pip-ephem-wheel-cache-b2iln1la/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:44:59.4031877Z Successfully built torch_test_cpp_extension
2025-12-04T09:44:59.7739196Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:44:59.9442750Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:45:01.6561788Z W1204 09:45:01.655000 5456 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:45:02.5970835Z 
2025-12-04T09:45:02.5971496Z Running tests...
2025-12-04T09:45:02.5972014Z ----------------------------------------------------------------------
2025-12-04T09:45:02.7691143Z .
2025-12-04T09:45:02.7691641Z ----------------------------------------------------------------------
2025-12-04T09:45:02.7692048Z Ran 1 test in 0.172s
2025-12-04T09:45:02.7692228Z 
2025-12-04T09:45:02.7692313Z OK
2025-12-04T09:45:02.7692426Z 
2025-12-04T09:45:02.7692550Z Generating XML reports...
2025-12-04T09:45:03.3718510Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:45:03.371424][1963.070701464], took 0.29min
2025-12-04T09:45:03.3778124Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094502.xml
2025-12-04T09:45:03.4464989Z Running test_autoload_enable 1/1 ... [2025-12-04 09:45:03.446218][1963.14550339]
2025-12-04T09:45:03.7837617Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:45:06.9948887Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:45:06.9970123Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:45:16.8418579Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:45:16.8690422Z [?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=b4c1e690b9013693eda2384fedfa61a8581353ccf82ea792cef37501598af4ec
2025-12-04T09:45:16.8691884Z   Stored in directory: /tmp/pip-ephem-wheel-cache-jk3cw0f9/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:45:16.8714599Z Successfully built torch_test_cpp_extension
2025-12-04T09:45:17.2408490Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:45:17.4116925Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:45:19.1340954Z W1204 09:45:19.133000 5641 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:45:20.0825368Z 
2025-12-04T09:45:20.0825950Z Running tests...
2025-12-04T09:45:20.0826336Z ----------------------------------------------------------------------
2025-12-04T09:45:20.2541499Z .
2025-12-04T09:45:20.2541909Z ----------------------------------------------------------------------
2025-12-04T09:45:20.2542459Z Ran 1 test in 0.172s
2025-12-04T09:45:20.2542626Z 
2025-12-04T09:45:20.2542708Z OK
2025-12-04T09:45:20.2542974Z 
2025-12-04T09:45:20.2543088Z Generating XML reports...
2025-12-04T09:45:20.8610382Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:45:20.860664][1980.559941952], took 0.29min
2025-12-04T09:45:20.8670492Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094520.xml
2025-12-04T09:45:20.9466078Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:45:20.946321][1980.645606998]
2025-12-04T09:45:21.3145266Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:45:24.5584630Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:45:24.5605690Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:45:34.7459608Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:45:34.7727243Z [?25h  Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079696 sha256=ea2c4f861b5b7169208286e49f91d70bfd6f874925c27882f314703c87186bdb
2025-12-04T09:45:34.7729704Z   Stored in directory: /tmp/pip-ephem-wheel-cache-uyhu7z6o/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:45:34.7748950Z Successfully built torch_test_cpp_extension
2025-12-04T09:45:35.1423211Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:45:35.3117063Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:45:35.7041353Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:45:37.5928786Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:45:37.5949828Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:45:39.7954958Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:45:39.7962017Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=b5098ab87a3be0d3b654668a959e40fc5b2eca90ed3002c68e0442e389741cfe
2025-12-04T09:45:39.7963429Z   Stored in directory: /tmp/pip-ephem-wheel-cache-ejued0vq/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:45:39.7982255Z Successfully built no_python_abi_suffix_test
2025-12-04T09:45:40.1684995Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:45:40.1792357Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:45:40.2390258Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:40.2394352Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:45:40.239120]
2025-12-04T09:45:43.8274432Z 
2025-12-04T09:45:43.8275457Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_4f0837536d35bc28_.log
2025-12-04T09:45:43.8276358Z Running 0 items in this shard:
2025-12-04T09:45:43.8276557Z 
2025-12-04T09:45:43.8276899Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:45:43.827280][2003.526565551], took 0.38min
2025-12-04T09:45:43.8333884Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-89c2f344c6604108.xml
2025-12-04T09:45:43.9033497Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:45:43.903103][2003.602388577]
2025-12-04T09:45:44.2395410Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:45:47.4699098Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:45:47.4721066Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:45:57.4433436Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:45:57.4704574Z [?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=79c912129caae7b6038f664aa139f57fa1411ecfdf0abca0276d14fddab00e50
2025-12-04T09:45:57.4706019Z   Stored in directory: /tmp/pip-ephem-wheel-cache-vg228h0f/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:45:57.4724541Z Successfully built torch_test_cpp_extension
2025-12-04T09:45:57.8381472Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:45:58.0084002Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:45:58.3951046Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:46:00.2950009Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:46:00.2972289Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:46:02.3811517Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:46:02.3818480Z [?25h  Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=d5be3e72979c649af8ab28b8e155bd6cc6f22a45842ac933986e179adb9573bb
2025-12-04T09:46:02.3819974Z   Stored in directory: /tmp/pip-ephem-wheel-cache-w_msxk4_/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:46:02.3838122Z Successfully built no_python_abi_suffix_test
2025-12-04T09:46:02.7542948Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:46:02.7653296Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:46:02.8258857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:02.8262677Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:02.825931]
2025-12-04T09:46:06.4068032Z 
2025-12-04T09:46:06.4069114Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_a8b454a744e29878_.log
2025-12-04T09:46:06.4070005Z Running 0 items in this shard:
2025-12-04T09:46:06.4070219Z 
2025-12-04T09:46:06.4070555Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:46:06.406717][2026.106001825], took 0.38min
2025-12-04T09:46:06.4130786Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-cecbf40d127d7f41.xml
2025-12-04T09:46:06.4868184Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 09:46:06.486542][2026.185828945]
2025-12-04T09:46:06.4868715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:06.4871817Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:06.486884]
2025-12-04T09:46:14.7257543Z 
2025-12-04T09:46:14.7258689Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_b70730dac17ea471_.log
2025-12-04T09:46:14.7259457Z 
2025-12-04T09:46:14.7259778Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 09:46:14.725510][2034.424795748], took 0.14min
2025-12-04T09:46:14.7324485Z Running inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:46:14.732229][2034.431515654]
2025-12-04T09:46:14.7325030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:14.7328519Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:14.732579]
2025-12-04T09:46:22.6079349Z 
2025-12-04T09:46:22.6080360Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_82c3e0eabe9a00ad_.log
2025-12-04T09:46:22.6081889Z 
2025-12-04T09:46:22.6082649Z Finished inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:46:22.607703][2042.306990146], took 0.13min
2025-12-04T09:46:22.6145731Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:46:22.614333][2042.313620978]
2025-12-04T09:46:22.6146274Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:22.6149788Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:22.614698]
2025-12-04T09:46:30.5273812Z 
2025-12-04T09:46:30.5275383Z 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_35715911a8b7f11f_.log
2025-12-04T09:46:30.5276695Z 
2025-12-04T09:46:30.5277248Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:46:30.527142][2050.226427587], took 0.13min
2025-12-04T09:46:30.5340627Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:46:30.533847][2050.233133961]
2025-12-04T09:46:30.5341160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:30.5345162Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:30.534223]
2025-12-04T09:46:38.4416945Z 
2025-12-04T09:46:38.4417967Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_e7299537f02e75d7_.log
2025-12-04T09:46:38.4418764Z 
2025-12-04T09:46:38.4419099Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:46:38.441468][2058.14075457], took 0.13min
2025-12-04T09:46:38.4482504Z Running dynamo/test_logging 1/1 ... [2025-12-04 09:46:38.448024][2058.147313313]
2025-12-04T09:46:38.4483002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:38.4486600Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:38.448397]
2025-12-04T09:46:46.5386159Z 
2025-12-04T09:46:46.5387211Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_043532ebe95879d2_.log
2025-12-04T09:46:46.5388017Z Running 0 items in this shard:
2025-12-04T09:46:46.5388220Z 
2025-12-04T09:46:46.5388513Z Finished dynamo/test_logging 1/1 ... [2025-12-04 09:46:46.538422][2066.23770928], took 0.13min
2025-12-04T09:46:46.5447182Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-a628ff2fc0a86935.xml
2025-12-04T09:46:46.6134273Z Running inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:46:46.613065][2066.312349593]
2025-12-04T09:46:46.6135095Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:46.6137011Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:46.613433]
2025-12-04T09:46:54.9216594Z 
2025-12-04T09:46:54.9217648Z inductor/test_cuda_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.1_a6262aa5e19a7777_.log
2025-12-04T09:46:54.9218600Z Running 0 items in this shard:
2025-12-04T09:46:54.9218795Z 
2025-12-04T09:46:54.9219154Z Finished inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:46:54.921464][2074.620750536], took 0.14min
2025-12-04T09:46:54.9278571Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-e4bcb8efea2379d9.xml
2025-12-04T09:46:55.0061015Z Running inductor/test_flex_decoding 1/1 ... [2025-12-04 09:46:55.005786][2074.705072316]
2025-12-04T09:46:55.0061594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:55.0064412Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:55.006138]
2025-12-04T09:46:58.5621393Z 
2025-12-04T09:46:58.5622634Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_cf172f7b8d026650_.log
2025-12-04T09:46:58.5623533Z Running 0 items in this shard:
2025-12-04T09:46:58.5623734Z 
2025-12-04T09:46:58.5624064Z Finished inductor/test_flex_decoding 1/1 ... [2025-12-04 09:46:58.561951][2078.261238332], took 0.06min
2025-12-04T09:46:58.5684792Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_decoding/inductor.test_flex_decoding-8fa0ff20e614b54f.xml
2025-12-04T09:46:58.5983961Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:46:58.598141][2078.297428756]
2025-12-04T09:46:58.5984615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:58.5987389Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_native_matmul.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:58.598476]
2025-12-04T09:47:06.4576014Z 
2025-12-04T09:47:06.4577000Z 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_a374928cb81771bf_.log
2025-12-04T09:47:06.4577756Z 
2025-12-04T09:47:06.4578094Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:47:06.457399][2086.156685406], took 0.13min
2025-12-04T09:47:06.4647435Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:47:06.464521][2086.163808918]
2025-12-04T09:47:06.4648007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:06.4651764Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:06.464907]
2025-12-04T09:47:14.5356194Z 
2025-12-04T09:47:14.5357188Z 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_1e819ffc0255a14f_.log
2025-12-04T09:47:14.5358092Z Running 0 items in this shard:
2025-12-04T09:47:14.5358293Z 
2025-12-04T09:47:14.5358628Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:47:14.535347][2094.234633539], took 0.13min
2025-12-04T09:47:14.5421349Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-e33c5fdd81581218.xml
2025-12-04T09:47:14.6092721Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:47:14.608949][2094.308234899]
2025-12-04T09:47:14.6093259Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:14.6096133Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:14.609341]
2025-12-04T09:47:22.7372405Z 
2025-12-04T09:47:22.7373564Z 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_4317d437fbe4d7f3_.log
2025-12-04T09:47:22.7374574Z Running 0 items in this shard:
2025-12-04T09:47:22.7374796Z 
2025-12-04T09:47:22.7375275Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:47:22.737049][2102.436335485], took 0.14min
2025-12-04T09:47:22.7440324Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_graph_runnable/dynamo.test_fx_graph_runnable-28a6e7b1ea551a8b.xml
2025-12-04T09:47:22.8151099Z Running inductor/test_aot_inductor_package 1/1 ... [2025-12-04 09:47:22.814791][2102.514077333]
2025-12-04T09:47:22.8151656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:22.8154332Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:22.815132]
2025-12-04T09:47:30.6902803Z 
2025-12-04T09:47:30.6904373Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_0a112cd20d65ca8a_.log
2025-12-04T09:47:30.6905360Z 
2025-12-04T09:47:30.6905835Z Finished inductor/test_aot_inductor_package 1/1 ... [2025-12-04 09:47:30.690007][2110.389293348], took 0.13min
2025-12-04T09:47:30.6975100Z Running inductor/test_online_softmax 1/1 ... [2025-12-04 09:47:30.697292][2110.396579878]
2025-12-04T09:47:30.6975642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:30.6979478Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:30.697680]
2025-12-04T09:47:38.5628365Z 
2025-12-04T09:47:38.5629347Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_3bca5b8e7b7cbbb0_.log
2025-12-04T09:47:38.5630156Z 
2025-12-04T09:47:38.5630518Z Finished inductor/test_online_softmax 1/1 ... [2025-12-04 09:47:38.562611][2118.261898047], took 0.13min
2025-12-04T09:47:38.5702025Z Running inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:47:38.569986][2118.269274252]
2025-12-04T09:47:38.5702574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:38.5705873Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:38.570341]
2025-12-04T09:47:46.5155924Z 
2025-12-04T09:47:46.5156968Z 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_64fcc7e27e457294_.log
2025-12-04T09:47:46.5158186Z Running 0 items in this shard:
2025-12-04T09:47:46.5158400Z 
2025-12-04T09:47:46.5158761Z Finished inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:47:46.515377][2126.214664753], took 0.13min
2025-12-04T09:47:46.5224836Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-6a9587785c65ea67.xml
2025-12-04T09:47:46.6214321Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:47:46.621130][2126.320416406]
2025-12-04T09:47:46.6214883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:46.6218044Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:46.621500]
2025-12-04T09:47:54.4985069Z 
2025-12-04T09:47:54.4986137Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_24ff36478b3d1734_.log
2025-12-04T09:47:54.4986959Z 
2025-12-04T09:47:54.4987310Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:47:54.498277][2134.197564045], took 0.13min
2025-12-04T09:47:54.5059155Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:47:54.505691][2134.204978006]
2025-12-04T09:47:54.5059772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:54.5063047Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:54.506042]
2025-12-04T09:48:02.2756138Z 
2025-12-04T09:48:02.2757549Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_fc6ba06c1d6e97aa_.log
2025-12-04T09:48:02.2758548Z 
2025-12-04T09:48:02.2758981Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:48:02.275400][2141.974686705], took 0.13min
2025-12-04T09:48:02.2831107Z Running test_varlen_attention 1/1 ... [2025-12-04 09:48:02.282893][2141.982181423]
2025-12-04T09:48:02.2831607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:02.2835261Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:02.283279]
2025-12-04T09:48:05.8618849Z 
2025-12-04T09:48:05.8619900Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_1fdb8eb5601e48c9_.log
2025-12-04T09:48:05.8620747Z Running 0 items in this shard:
2025-12-04T09:48:05.8620945Z 
2025-12-04T09:48:05.8621257Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:48:05.861704][2145.560991165], took 0.06min
2025-12-04T09:48:05.8688189Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-c1220c28e4adb1e1.xml
2025-12-04T09:48:05.9501275Z Running test_matmul_cuda 1/1 ... [2025-12-04 09:48:05.949853][2145.649139408]
2025-12-04T09:48:05.9501757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:05.9505148Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:05.950234]
2025-12-04T09:48:13.9599003Z 
2025-12-04T09:48:13.9599902Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_e7f850ae9a54b7fe_.log
2025-12-04T09:48:13.9600679Z Running 0 items in this shard:
2025-12-04T09:48:13.9600894Z 
2025-12-04T09:48:13.9601165Z Finished test_matmul_cuda 1/1 ... [2025-12-04 09:48:13.959706][2153.658992846], took 0.13min
2025-12-04T09:48:13.9670174Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-6bbf207e4efdda0a.xml
2025-12-04T09:48:14.0367672Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:48:14.036483][2153.735769174]
2025-12-04T09:48:14.0368344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:14.0371367Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:14.036833]
2025-12-04T09:48:22.1296781Z 
2025-12-04T09:48:22.1297846Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_524c655b06487365_.log
2025-12-04T09:48:22.1298796Z Running 0 items in this shard:
2025-12-04T09:48:22.1299012Z 
2025-12-04T09:48:22.1299380Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:48:22.129440][2161.828725647], took 0.13min
2025-12-04T09:48:22.1369294Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-403c8e3ae8567b92.xml
2025-12-04T09:48:22.2155893Z Running test_decomp 1/1 ... [2025-12-04 09:48:22.215268][2161.914553459]
2025-12-04T09:48:22.2156367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:22.2159986Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:22.215666]
2025-12-04T09:48:27.0855489Z 
2025-12-04T09:48:27.0856307Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_ab57d52dcd3023eb_.log
2025-12-04T09:48:27.0857038Z Running 0 items in this shard:
2025-12-04T09:48:27.0857239Z 
2025-12-04T09:48:27.0928803Z Finished test_decomp 1/1 ... [2025-12-04 09:48:27.085343][2166.784629684], took 0.08min
2025-12-04T09:48:27.0929756Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-5c6b3b5ef9a4942f.xml
2025-12-04T09:48:27.1219124Z Running test_meta 1/1 ... [2025-12-04 09:48:27.121606][2166.82089336]
2025-12-04T09:48:27.1219606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:27.1222132Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:27.121951]
2025-12-04T09:48:31.9874220Z 
2025-12-04T09:48:31.9875387Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_6239a291ce9cee13_.log
2025-12-04T09:48:31.9876511Z Running 0 items in this shard:
2025-12-04T09:48:31.9876854Z 
2025-12-04T09:48:31.9877227Z Finished test_meta 1/1 ... [2025-12-04 09:48:31.987056][2171.686342228], took 0.08min
2025-12-04T09:48:31.9948956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-4c36e7ab193fee3f.xml
2025-12-04T09:48:32.0193298Z Running test_ops_jit 1/1 ... [2025-12-04 09:48:32.018928][2171.718212747]
2025-12-04T09:48:32.0194101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:32.0196098Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:32.019344]
2025-12-04T09:48:36.6176305Z 
2025-12-04T09:48:36.6177133Z test_ops_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.1_8bb5c99b8a08b42b_.log
2025-12-04T09:48:36.6177869Z Running 0 items in this shard:
2025-12-04T09:48:36.6178069Z 
2025-12-04T09:48:36.6178326Z Finished test_ops_jit 1/1 ... [2025-12-04 09:48:36.617381][2176.316668083], took 0.08min
2025-12-04T09:48:36.6253159Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-90325a96d2a96642.xml
2025-12-04T09:48:36.6551146Z Running test_nestedtensor 1/1 ... [2025-12-04 09:48:36.654888][2176.354175056]
2025-12-04T09:48:36.6551653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:36.6554977Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:36.655238]
2025-12-04T09:48:41.6883056Z 
2025-12-04T09:48:41.6883946Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_92f617e70208fb91_.log
2025-12-04T09:48:41.6884747Z Running 0 items in this shard:
2025-12-04T09:48:41.6884965Z 
2025-12-04T09:48:41.6885248Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:48:41.688077][2181.387363779], took 0.08min
2025-12-04T09:48:41.6961489Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-cd7a0017e26e48ae.xml
2025-12-04T09:48:41.7249015Z Running test_linalg 1/1 ... [2025-12-04 09:48:41.724568][2181.423854917]
2025-12-04T09:48:41.7249504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:41.7252384Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:41.724946]
2025-12-04T09:48:45.7281508Z 
2025-12-04T09:48:45.7282361Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_da81a9e8b9b584b3_.log
2025-12-04T09:48:45.7283072Z Running 0 items in this shard:
2025-12-04T09:48:45.7283285Z 
2025-12-04T09:48:45.7283529Z Finished test_linalg 1/1 ... [2025-12-04 09:48:45.727929][2185.427216027], took 0.07min
2025-12-04T09:48:45.7360772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-a6cb16c3d2a5486e.xml
2025-12-04T09:48:45.7640755Z Running test_public_bindings 1/1 ... [2025-12-04 09:48:45.763833][2185.463119587]
2025-12-04T09:48:45.7641251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:45.7644801Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_public_bindings.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:45.764192]
2025-12-04T09:48:49.0069006Z 
2025-12-04T09:48:49.0069887Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_68c11b21b6cdbc4b_.log
2025-12-04T09:48:49.0070701Z Running 0 items in this shard:
2025-12-04T09:48:49.0071202Z 
2025-12-04T09:48:49.0071504Z Finished test_public_bindings 1/1 ... [2025-12-04 09:48:49.006629][2188.705915138], took 0.05min
2025-12-04T09:48:49.0149589Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_public_bindings/test_public_bindings-a4d3000292a53302.xml
2025-12-04T09:48:49.0470918Z Running test_ops 1/1 ... [2025-12-04 09:48:49.046831][2188.746117656]
2025-12-04T09:48:49.0471376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:49.0474862Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:49.047212]
2025-12-04T09:48:58.1221368Z 
2025-12-04T09:48:58.1222193Z test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.1_c7caa329fef4133a_.log
2025-12-04T09:48:58.1222908Z Running 0 items in this shard:
2025-12-04T09:48:58.1223122Z 
2025-12-04T09:48:58.1223367Z Finished test_ops 1/1 ... [2025-12-04 09:48:58.121956][2197.821242874], took 0.15min
2025-12-04T09:48:58.1302767Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-47015a1529b5a366.xml
2025-12-04T09:48:58.1984263Z Running functorch/test_dims 1/1 ... [2025-12-04 09:48:58.198129][2197.897415934]
2025-12-04T09:48:58.1984752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:58.1988425Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:58.198530]
2025-12-04T09:49:01.7739865Z 
2025-12-04T09:49:01.7740932Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_2efc7f5a4fe4f69b_.log
2025-12-04T09:49:01.7742021Z Running 0 items in this shard:
2025-12-04T09:49:01.7742224Z 
2025-12-04T09:49:01.7742511Z Finished functorch/test_dims 1/1 ... [2025-12-04 09:49:01.773767][2201.473054184], took 0.06min
2025-12-04T09:49:01.7822146Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-45c6ed5886f44203.xml
2025-12-04T09:49:01.8085339Z Running test_sparse_csr 1/1 ... [2025-12-04 09:49:01.808303][2201.5075908]
2025-12-04T09:49:01.8085816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:01.8089297Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:01.808667]
2025-12-04T09:49:06.5068685Z 
2025-12-04T09:49:06.5070038Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_b19dd066a191b7ea_.log
2025-12-04T09:49:06.5071462Z Running 0 items in this shard:
2025-12-04T09:49:06.5071832Z 
2025-12-04T09:49:06.5072347Z Finished test_sparse_csr 1/1 ... [2025-12-04 09:49:06.506633][2206.205919238], took 0.08min
2025-12-04T09:49:06.5156364Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-e3d1f04983ca092f.xml
2025-12-04T09:49:06.5428240Z Running functorch/test_ops 1/1 ... [2025-12-04 09:49:06.542507][2206.241794627]
2025-12-04T09:49:06.5429066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:06.5433177Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:06.542947]
2025-12-04T09:49:11.4575379Z 
2025-12-04T09:49:11.4576753Z functorch/test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.1_de877ca38a38870a_.log
2025-12-04T09:49:11.4578245Z Running 0 items in this shard:
2025-12-04T09:49:11.4578609Z 
2025-12-04T09:49:11.4579151Z Finished functorch/test_ops 1/1 ... [2025-12-04 09:49:11.457298][2211.15658653], took 0.08min
2025-12-04T09:49:11.4665801Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-9eb964ffc6d1bdff.xml
2025-12-04T09:49:11.4937931Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:49:11.493488][2211.192775]
2025-12-04T09:49:11.4938734Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:11.4942101Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:11.493862]
2025-12-04T09:49:16.8255584Z 
2025-12-04T09:49:16.8256996Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_586633fa20f600ef_.log
2025-12-04T09:49:16.8258544Z Running 0 items in this shard:
2025-12-04T09:49:16.8258930Z 
2025-12-04T09:49:16.8259465Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:49:16.825340][2216.52462761], took 0.09min
2025-12-04T09:49:16.8346042Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-ddad5d2fe5cbec84.xml
2025-12-04T09:49:16.8580125Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:49:16.857740][2216.557026541]
2025-12-04T09:49:16.8580927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:16.8585399Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:16.858129]
2025-12-04T09:49:20.0930871Z 
2025-12-04T09:49:20.0932309Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_4cce47b97cb07760_.log
2025-12-04T09:49:20.0933830Z Running 0 items in this shard:
2025-12-04T09:49:20.0934215Z 
2025-12-04T09:49:20.0934780Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:49:20.092845][2219.792132138], took 0.05min
2025-12-04T09:49:20.1021533Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-7196fb18a6f254b4.xml
2025-12-04T09:49:20.1281245Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:49:20.127873][2219.827159901]
2025-12-04T09:49:20.1282199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:20.1286578Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_group_batch_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:20.128279]
2025-12-04T09:49:28.1495278Z 
2025-12-04T09:49:28.1496852Z inductor/test_group_batch_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_group_batch_fusion_1.1_679b2210bdfffbf0_.log
2025-12-04T09:49:28.1498601Z Running 0 items in this shard:
2025-12-04T09:49:28.1498969Z 
2025-12-04T09:49:28.1499652Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:49:28.149312][2227.848598824], took 0.13min
2025-12-04T09:49:28.1588669Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-f517f7a5d2d4f956.xml
2025-12-04T09:49:28.2260480Z Running dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 09:49:28.225731][2227.925017899]
2025-12-04T09:49:28.2261356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:28.2265386Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:28.226131]
2025-12-04T09:49:41.5054614Z 
2025-12-04T09:49:41.5055545Z dynamo/test_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.2_8a40a22ef1b08f4d_.log
2025-12-04T09:49:41.5056410Z Running 0 items in this shard:
2025-12-04T09:49:41.5056620Z 
2025-12-04T09:49:41.5056984Z Finished dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 09:49:41.505270][2241.20455246], took 0.22min
2025-12-04T09:49:41.5147368Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-a87965e3b3bf86b0.xml
2025-12-04T09:49:41.5804957Z Running inductor/test_cpu_repro 1/4 ... [2025-12-04 09:49:41.580236][2241.279522802]
2025-12-04T09:49:41.5805457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:41.5809754Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:41.580611]
2025-12-04T09:49:51.2386597Z 
2025-12-04T09:49:51.2387709Z inductor/test_cpu_repro 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.4_5d9da03fe6200d9f_.log
2025-12-04T09:49:51.2388840Z Running 0 items in this shard:
2025-12-04T09:49:51.2389046Z 
2025-12-04T09:49:51.2389358Z Finished inductor/test_cpu_repro 1/4 ... [2025-12-04 09:49:51.238443][2250.937730128], took 0.16min
2025-12-04T09:49:51.2479850Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-c19493d44c28cdda.xml
2025-12-04T09:49:51.3132424Z Running inductor/test_cpu_repro 4/4 ... [2025-12-04 09:49:51.312936][2251.012221715]
2025-12-04T09:49:51.3132965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:51.3135678Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:51.313282]
2025-12-04T09:50:00.9373632Z 
2025-12-04T09:50:00.9374682Z inductor/test_cpu_repro 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_4.4_f02e8f54c410e27c_.log
2025-12-04T09:50:00.9375530Z Running 0 items in this shard:
2025-12-04T09:50:00.9375738Z 
2025-12-04T09:50:00.9376040Z Finished inductor/test_cpu_repro 4/4 ... [2025-12-04 09:50:00.937151][2260.636437507], took 0.16min
2025-12-04T09:50:00.9466297Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-e1acdfb20d0c91af.xml
2025-12-04T09:50:01.0101601Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:50:01.009878][2260.709164453]
2025-12-04T09:50:01.0102102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:01.0105201Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:01.010217]
2025-12-04T09:50:08.8350744Z 
2025-12-04T09:50:08.8351655Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_c568e56be98b0161_.log
2025-12-04T09:50:08.8352359Z 
2025-12-04T09:50:08.8352654Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:50:08.834843][2268.534129273], took 0.13min
2025-12-04T09:50:08.8451626Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 09:50:08.844880][2268.544166786]
2025-12-04T09:50:08.8452131Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:08.8455562Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:08.845302]
2025-12-04T09:50:12.3898185Z 
2025-12-04T09:50:12.3899153Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_cf499876d4cfc61d_.log
2025-12-04T09:50:12.3899968Z Running 0 items in this shard:
2025-12-04T09:50:12.3900169Z 
2025-12-04T09:50:12.3900469Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 09:50:12.389600][2272.088886492], took 0.06min
2025-12-04T09:50:12.3992850Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-2a60e1664752fab6.xml
2025-12-04T09:50:12.4683730Z Running inductor/test_minifier 1/1 ... [2025-12-04 09:50:12.468145][2272.167431935]
2025-12-04T09:50:12.4684261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:12.4687753Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:12.468502]
2025-12-04T09:50:20.4415343Z 
2025-12-04T09:50:20.4416296Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_5851f9094bb2767b_.log
2025-12-04T09:50:20.4417129Z Running 0 items in this shard:
2025-12-04T09:50:20.4417329Z 
2025-12-04T09:50:20.4417633Z Finished inductor/test_minifier 1/1 ... [2025-12-04 09:50:20.441286][2280.140572868], took 0.13min
2025-12-04T09:50:20.4512145Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-05e1cb8751c6b1b9.xml
2025-12-04T09:50:20.5862623Z Running inductor/test_compiled_autograd 1/2 ... [2025-12-04 09:50:20.585832][2280.285118879]
2025-12-04T09:50:20.5863263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:20.5865209Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:20.586178]
2025-12-04T09:50:31.3552289Z 
2025-12-04T09:50:31.3553326Z inductor/test_compiled_autograd 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.2_941d65ead94249f8_.log
2025-12-04T09:50:31.3554244Z Running 0 items in this shard:
2025-12-04T09:50:31.3554456Z 
2025-12-04T09:50:31.3554808Z Finished inductor/test_compiled_autograd 1/2 ... [2025-12-04 09:50:31.354974][2291.054259766], took 0.18min
2025-12-04T09:50:31.3650601Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-a0a9d69a44024e1d.xml
2025-12-04T09:50:31.4292549Z Running inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:50:31.428944][2291.128230842]
2025-12-04T09:50:31.4293406Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:31.4297081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:31.429360]
2025-12-04T09:50:42.5057660Z 
2025-12-04T09:50:42.5058779Z inductor/test_compiled_autograd 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_2.2_2a3c840c0952cbe5_.log
2025-12-04T09:50:42.5059691Z Running 0 items in this shard:
2025-12-04T09:50:42.5059905Z 
2025-12-04T09:50:42.5060265Z Finished inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:50:42.505556][2302.204843205], took 0.18min
2025-12-04T09:50:42.5160237Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-1814305176ebc384.xml
2025-12-04T09:50:42.5788695Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 09:50:42.578563][2302.277847623]
2025-12-04T09:50:42.5789247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:42.5792113Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:42.578938]
2025-12-04T09:50:51.3164345Z 
2025-12-04T09:50:51.3165338Z 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_80d46d68fcbc79e0_.log
2025-12-04T09:50:51.3166231Z Running 0 items in this shard:
2025-12-04T09:50:51.3166446Z 
2025-12-04T09:50:51.3167094Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 09:50:51.316197][2311.015484289], took 0.15min
2025-12-04T09:50:51.3269031Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-6f1454e58c800bdc.xml
2025-12-04T09:50:51.3858369Z Running inductor/test_perf 1/1 ... [2025-12-04 09:50:51.385416][2311.084701237]
2025-12-04T09:50:51.3858968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:51.3860688Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_perf.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:51.385804]
2025-12-04T09:50:59.5241330Z 
2025-12-04T09:50:59.5242241Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_22d3e9fd0ad92652_.log
2025-12-04T09:50:59.5242961Z 
2025-12-04T09:50:59.5243257Z Finished inductor/test_perf 1/1 ... [2025-12-04 09:50:59.523919][2319.223206865], took 0.14min
2025-12-04T09:50:59.5348293Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 09:50:59.534626][2319.233914243]
2025-12-04T09:50:59.5348813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:59.5352425Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:59.534990]
2025-12-04T09:51:08.3404741Z 
2025-12-04T09:51:08.3405775Z 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_b6c11e7735e6c9a9_.log
2025-12-04T09:51:08.3406679Z Running 0 items in this shard:
2025-12-04T09:51:08.3407579Z 
2025-12-04T09:51:08.3407954Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 09:51:08.340241][2328.039526909], took 0.15min
2025-12-04T09:51:08.3510008Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-b287c313c4e9001f.xml
2025-12-04T09:51:08.4385552Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 09:51:08.438239][2328.13752412]
2025-12-04T09:51:08.4386098Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:08.4389430Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:08.438614]
2025-12-04T09:51:16.8642378Z 
2025-12-04T09:51:16.8643398Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_ef59d67b08616efb_.log
2025-12-04T09:51:16.8644310Z Running 0 items in this shard:
2025-12-04T09:51:16.8644509Z 
2025-12-04T09:51:16.8644852Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 09:51:16.864031][2336.563318672], took 0.14min
2025-12-04T09:51:16.8744740Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-9899ee8d8d081c8a.xml
2025-12-04T09:51:17.1651994Z Uploading artifacts took 0.22 seconds
2025-12-04T09:51:17.1655960Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:51:17.165378][2336.864664506]
2025-12-04T09:51:17.1656645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:17.1660479Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:17.165740]
2025-12-04T09:51:26.1712701Z 
2025-12-04T09:51:26.1713769Z 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_f9f3ef1aa559dbf9_.log
2025-12-04T09:51:26.1714768Z Running 0 items in this shard:
2025-12-04T09:51:26.1715043Z 
2025-12-04T09:51:26.1715430Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:51:26.171048][2345.870335541], took 0.15min
2025-12-04T09:51:26.1822877Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-8631e96b2000c542.xml
2025-12-04T09:51:26.2553043Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 09:51:26.254953][2345.95423683]
2025-12-04T09:51:26.2553575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:26.2557108Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:26.255408]
2025-12-04T09:51:34.7699773Z 
2025-12-04T09:51:34.7700683Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_f2a838eda9bb10f7_.log
2025-12-04T09:51:34.7701527Z Running 0 items in this shard:
2025-12-04T09:51:34.7701727Z 
2025-12-04T09:51:34.7702047Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 09:51:34.769753][2354.469039033], took 0.14min
2025-12-04T09:51:34.7806794Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-c0be78d6b56f2606.xml
2025-12-04T09:51:34.8519901Z Running inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 09:51:34.851638][2354.550922251]
2025-12-04T09:51:34.8520496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:34.8523839Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:34.852084]
2025-12-04T09:51:43.8033923Z 
2025-12-04T09:51:43.8034970Z 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_1febccedad6fc54d_.log
2025-12-04T09:51:43.8035924Z Running 0 items in this shard:
2025-12-04T09:51:43.8036123Z 
2025-12-04T09:51:43.8036490Z Finished inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 09:51:43.803178][2363.50246534], took 0.15min
2025-12-04T09:51:43.8141281Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-852f24636fe72133.xml
2025-12-04T09:51:43.8793541Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 09:51:43.879023][2363.578309149]
2025-12-04T09:51:43.8794083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:43.8802758Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:43.879372]
2025-12-04T09:51:52.0988738Z 
2025-12-04T09:51:52.0989720Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_4de8aa135ec0d513_.log
2025-12-04T09:51:52.0990531Z 
2025-12-04T09:51:52.0991136Z Finished inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 09:51:52.098654][2371.79794044], took 0.14min
2025-12-04T09:51:52.1102609Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:51:52.110037][2371.809324241]
2025-12-04T09:51:52.1103207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:52.1106611Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:52.110392]
2025-12-04T09:52:00.6997917Z 
2025-12-04T09:52:00.6999227Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_ea55fa1397ae86a5_.log
2025-12-04T09:52:00.7000172Z 
2025-12-04T09:52:00.7000590Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:52:00.699585][2380.398871116], took 0.14min
2025-12-04T09:52:00.7112629Z Running inductor/test_halide 1/1 ... [2025-12-04 09:52:00.711017][2380.410305022]
2025-12-04T09:52:00.7113116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:00.7117447Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:00.711414]
2025-12-04T09:52:09.1109288Z 
2025-12-04T09:52:09.1110375Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_a9d3e89da2a4215e_.log
2025-12-04T09:52:09.1111082Z 
2025-12-04T09:52:09.1111396Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:52:09.110693][2388.809979345], took 0.14min
2025-12-04T09:52:09.1225169Z Running inductor/test_pad_mm 1/1 ... [2025-12-04 09:52:09.122261][2388.821548571]
2025-12-04T09:52:09.1225669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:09.1229399Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pad_mm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:09.122650]
2025-12-04T09:52:17.0011784Z 
2025-12-04T09:52:17.0012837Z 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_3b4c77525dcbe78f_.log
2025-12-04T09:52:17.0013532Z 
2025-12-04T09:52:17.0013826Z Finished inductor/test_pad_mm 1/1 ... [2025-12-04 09:52:17.000955][2396.700237516], took 0.13min
2025-12-04T09:52:17.0134063Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:52:17.012973][2396.712260286]
2025-12-04T09:52:17.0134726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:17.0136499Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:17.013347]
2025-12-04T09:52:25.4475572Z 
2025-12-04T09:52:25.4477005Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_2345f1cd77380909_.log
2025-12-04T09:52:25.4478001Z Running 0 items in this shard:
2025-12-04T09:52:25.4478216Z 
2025-12-04T09:52:25.4478595Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:52:25.447365][2405.146651536], took 0.14min
2025-12-04T09:52:25.4594476Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-d08438d311131ff2.xml
2025-12-04T09:52:25.5296080Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:52:25.529279][2405.228566147]
2025-12-04T09:52:25.5296824Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:25.5300290Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:25.529678]
2025-12-04T09:52:33.3618448Z 
2025-12-04T09:52:33.3619622Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_d98217a0a9218993_.log
2025-12-04T09:52:33.3620354Z 
2025-12-04T09:52:33.3620654Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:52:33.361629][2413.060913428], took 0.13min
2025-12-04T09:52:33.3733946Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:52:33.373169][2413.072457101]
2025-12-04T09:52:33.3734592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:33.3738138Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:33.373520]
2025-12-04T09:52:41.2289024Z 
2025-12-04T09:52:41.2289836Z 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_596f8c3cbe5db1bf_.log
2025-12-04T09:52:41.2290556Z 
2025-12-04T09:52:41.2290872Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:52:41.228685][2420.927969958], took 0.13min
2025-12-04T09:52:41.2413063Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:52:41.241115][2420.940402981]
2025-12-04T09:52:41.2413887Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:41.2417387Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_gpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:41.241465]
2025-12-04T09:52:49.6481319Z 
2025-12-04T09:52:49.6482501Z inductor/test_gpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_gpu_cpp_wrapper_1.1_912771d66c729043_.log
2025-12-04T09:52:49.6483283Z 
2025-12-04T09:52:49.6483630Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:52:49.647916][2429.347202312], took 0.14min
2025-12-04T09:52:49.6597755Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:52:49.659553][2429.358841471]
2025-12-04T09:52:49.6598318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:49.6601716Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:49.659904]
2025-12-04T09:52:53.0060487Z 
2025-12-04T09:52:53.0061784Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_de86eafd6dc7bbfd_.log
2025-12-04T09:52:53.0062895Z Running 0 items in this shard:
2025-12-04T09:52:53.0063192Z 
2025-12-04T09:52:53.0063530Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:52:53.005850][2432.705137264], took 0.06min
2025-12-04T09:52:53.0179809Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_deque_reconstruct/dynamo.test_deque_reconstruct-fe2452992dda13aa.xml
2025-12-04T09:52:53.0913084Z Running inductor/test_utils 1/1 ... [2025-12-04 09:52:53.090960][2432.790244449]
2025-12-04T09:52:53.0913596Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:53.0916850Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:53.091397]
2025-12-04T09:52:56.6412845Z 
2025-12-04T09:52:56.6413890Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_3f328c4f58c6db82_.log
2025-12-04T09:52:56.6414709Z Running 0 items in this shard:
2025-12-04T09:52:56.6414912Z 
2025-12-04T09:52:56.6415198Z Finished inductor/test_utils 1/1 ... [2025-12-04 09:52:56.641098][2436.340384541], took 0.06min
2025-12-04T09:52:56.6523334Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_utils/inductor.test_utils-e7e13886ccc573c0.xml
2025-12-04T09:52:56.6821965Z Running inductor/test_indexing 1/1 ... [2025-12-04 09:52:56.681970][2436.381257788]
2025-12-04T09:52:56.6822487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:56.6826531Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:56.682363]
2025-12-04T09:53:04.6932413Z 
2025-12-04T09:53:04.6933508Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_bdbf4d2fec511863_.log
2025-12-04T09:53:04.6934353Z Running 0 items in this shard:
2025-12-04T09:53:04.6934826Z 
2025-12-04T09:53:04.6935156Z Finished inductor/test_indexing 1/1 ... [2025-12-04 09:53:04.693049][2444.392334954], took 0.13min
2025-12-04T09:53:04.7053016Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_indexing/inductor.test_indexing-807b0517647ea8f8.xml
2025-12-04T09:53:04.7660356Z Running inductor/test_inductor_annotations 1/1 ... [2025-12-04 09:53:04.765755][2444.465041676]
2025-12-04T09:53:04.7660937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:04.7664370Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_annotations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:04.766137]
2025-12-04T09:53:12.9000802Z 
2025-12-04T09:53:12.9001836Z inductor/test_inductor_annotations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_annotations_1.1_558495ee0017815b_.log
2025-12-04T09:53:12.9002780Z Running 0 items in this shard:
2025-12-04T09:53:12.9002995Z 
2025-12-04T09:53:12.9003357Z Finished inductor/test_inductor_annotations 1/1 ... [2025-12-04 09:53:12.899870][2452.599154994], took 0.14min
2025-12-04T09:53:12.9117254Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_annotations/inductor.test_inductor_annotations-ae9235a5e097da3d.xml
2025-12-04T09:53:12.9771319Z Running inductor/test_compile_worker 1/1 ... [2025-12-04 09:53:12.976828][2452.676114531]
2025-12-04T09:53:12.9771869Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:12.9775900Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_worker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:12.977224]
2025-12-04T09:53:20.9159069Z 
2025-12-04T09:53:20.9160259Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_243c21284066ec73_.log
2025-12-04T09:53:20.9161151Z Running 0 items in this shard:
2025-12-04T09:53:20.9161369Z 
2025-12-04T09:53:20.9161700Z Finished inductor/test_compile_worker 1/1 ... [2025-12-04 09:53:20.915662][2460.614947712], took 0.13min
2025-12-04T09:53:20.9283256Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_worker/inductor.test_compile_worker-664cac8e72e22a8a.xml
2025-12-04T09:53:21.0124225Z Running dynamo/test_einops 1/1 ... [2025-12-04 09:53:21.012132][2460.711418952]
2025-12-04T09:53:21.0124738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:21.0128287Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:21.012511]
2025-12-04T09:53:24.1998285Z 
2025-12-04T09:53:24.1999187Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_ee0f33657b35f254_.log
2025-12-04T09:53:24.1999996Z Running 0 items in this shard:
2025-12-04T09:53:24.2000199Z 
2025-12-04T09:53:24.2000496Z Finished dynamo/test_einops 1/1 ... [2025-12-04 09:53:24.199620][2463.898906187], took 0.05min
2025-12-04T09:53:24.2123842Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_einops/dynamo.test_einops-618104d2ff35ef92.xml
2025-12-04T09:53:24.2437332Z Running inductor/test_external_callables 1/1 ... [2025-12-04 09:53:24.243528][2463.942816303]
2025-12-04T09:53:24.2437899Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:24.2441396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:24.243879]
2025-12-04T09:53:28.0455301Z 
2025-12-04T09:53:28.0456317Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_ef214fb63e96282f_.log
2025-12-04T09:53:28.0457263Z Running 0 items in this shard:
2025-12-04T09:53:28.0457461Z 
2025-12-04T09:53:28.0457811Z Finished inductor/test_external_callables 1/1 ... [2025-12-04 09:53:28.045250][2467.744537645], took 0.06min
2025-12-04T09:53:28.0573832Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_external_callables/inductor.test_external_callables-6c0cf37b838c1af9.xml
2025-12-04T09:53:28.0856273Z Running test_testing 1/1 ... [2025-12-04 09:53:28.085333][2467.784620088]
2025-12-04T09:53:28.0856737Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:28.0859997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_testing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:28.085733]
2025-12-04T09:53:32.8619682Z 
2025-12-04T09:53:32.8620965Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_034d83fa1565b058_.log
2025-12-04T09:53:32.8622342Z Running 0 items in this shard:
2025-12-04T09:53:32.8622713Z 
2025-12-04T09:53:32.8623186Z Finished test_testing 1/1 ... [2025-12-04 09:53:32.861676][2472.560962149], took 0.08min
2025-12-04T09:53:32.8743313Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_testing/test_testing-65d01d475560e929.xml
2025-12-04T09:53:32.9047973Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:53:32.904530][2472.603817987]
2025-12-04T09:53:32.9048571Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:32.9051633Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:32.904870]
2025-12-04T09:53:36.1621374Z 
2025-12-04T09:53:36.1622527Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_ace5426fe99ffc49_.log
2025-12-04T09:53:36.1623427Z Running 0 items in this shard:
2025-12-04T09:53:36.1623644Z 
2025-12-04T09:53:36.1624008Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:53:36.161871][2475.861157442], took 0.05min
2025-12-04T09:53:36.1744581Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_passes_pre_grad/dynamo.test_fx_passes_pre_grad-88ccfbd39f539d7c.xml
2025-12-04T09:53:36.2052401Z Running export/test_strict_export_v2 1/1 ... [2025-12-04 09:53:36.204942][2475.904226355]
2025-12-04T09:53:36.2052940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:36.2055776Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_strict_export_v2.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:36.205312]
2025-12-04T09:53:45.2708874Z 
2025-12-04T09:53:45.2710064Z export/test_strict_export_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_strict_export_v2_1.1_fac67055da8d611b_.log
2025-12-04T09:53:45.2711272Z Running 0 items in this shard:
2025-12-04T09:53:45.2711476Z 
2025-12-04T09:53:45.2711827Z Finished export/test_strict_export_v2 1/1 ... [2025-12-04 09:53:45.270677][2484.969964132], took 0.15min
2025-12-04T09:53:45.2834083Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_strict_export_v2/export.test_strict_export_v2-0042309b205f1589.xml
2025-12-04T09:53:45.3547387Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:53:45.354456][2485.05374267]
2025-12-04T09:53:45.3547904Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:45.3551601Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:45.354847]
2025-12-04T09:53:50.1470805Z 
2025-12-04T09:53:50.1472481Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_9d98137ae803c7c5_.log
2025-12-04T09:53:50.1474048Z Running 0 items in this shard:
2025-12-04T09:53:50.1474419Z 
2025-12-04T09:53:50.1474999Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:53:50.146853][2489.846139673], took 0.08min
2025-12-04T09:53:50.1601160Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-48c4aa896837d178.xml
2025-12-04T09:53:50.1852266Z Running inductor/test_segmented_tree 1/1 ... [2025-12-04 09:53:50.184840][2489.884124034]
2025-12-04T09:53:50.1853141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:50.1857403Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_segmented_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:50.185322]
2025-12-04T09:53:53.6073961Z 
2025-12-04T09:53:53.6075723Z inductor/test_segmented_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_segmented_tree_1.1_43036872379fdbc6_.log
2025-12-04T09:53:53.6077444Z Running 0 items in this shard:
2025-12-04T09:53:53.6077810Z 
2025-12-04T09:53:53.6078448Z Finished inductor/test_segmented_tree 1/1 ... [2025-12-04 09:53:53.607128][2493.306415356], took 0.06min
2025-12-04T09:53:53.6201911Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_segmented_tree/inductor.test_segmented_tree-1786acb9c9ac4c7c.xml
2025-12-04T09:53:53.6459190Z Running inductor/test_kernel_optimization 1/1 ... [2025-12-04 09:53:53.645593][2493.34487907]
2025-12-04T09:53:53.6460198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:53.6463991Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:53.645994]
2025-12-04T09:54:01.9278664Z 
2025-12-04T09:54:01.9279685Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_61a902d59dc34122_.log
2025-12-04T09:54:01.9280641Z Running 0 items in this shard:
2025-12-04T09:54:01.9280840Z 
2025-12-04T09:54:01.9281222Z Finished inductor/test_kernel_optimization 1/1 ... [2025-12-04 09:54:01.927656][2501.626942927], took 0.14min
2025-12-04T09:54:01.9415122Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_kernel_optimization/inductor.test_kernel_optimization-01cfff802f151f2c.xml
2025-12-04T09:54:02.0086602Z Running export/test_unflatten_training_ir 1/1 ... [2025-12-04 09:54:02.008365][2501.707651662]
2025-12-04T09:54:02.0087160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:02.0090888Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:02.008766]
2025-12-04T09:54:05.5169683Z 
2025-12-04T09:54:05.5170728Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_a689deeda288a5d5_.log
2025-12-04T09:54:05.5171666Z Running 0 items in this shard:
2025-12-04T09:54:05.5171877Z 
2025-12-04T09:54:05.5172233Z Finished export/test_unflatten_training_ir 1/1 ... [2025-12-04 09:54:05.516756][2505.21604089], took 0.06min
2025-12-04T09:54:05.5307832Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten_training_ir/export.test_unflatten_training_ir-0dca50a79a601c26.xml
2025-12-04T09:54:05.5571487Z Running inductor/test_fx_fusion 1/1 ... [2025-12-04 09:54:05.556866][2505.256150194]
2025-12-04T09:54:05.5571983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:05.5575974Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:05.557278]
2025-12-04T09:54:09.9564409Z 
2025-12-04T09:54:09.9565360Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_019ad41209faad4d_.log
2025-12-04T09:54:09.9566229Z Running 0 items in this shard:
2025-12-04T09:54:09.9566427Z 
2025-12-04T09:54:09.9566993Z Finished inductor/test_fx_fusion 1/1 ... [2025-12-04 09:54:09.956233][2509.655519319], took 0.07min
2025-12-04T09:54:09.9701680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-4685bbb99ace08d4.xml
2025-12-04T09:54:09.9933088Z Running inductor/test_xpu_basic 1/1 ... [2025-12-04 09:54:09.993083][2509.692369837]
2025-12-04T09:54:09.9933590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:09.9936999Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:09.993440]
2025-12-04T09:54:18.0431303Z 
2025-12-04T09:54:18.0432290Z 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_03625974100dae86_.log
2025-12-04T09:54:18.0433027Z 
2025-12-04T09:54:18.0565901Z Finished inductor/test_xpu_basic 1/1 ... [2025-12-04 09:54:18.042902][2517.742189378], took 0.13min
2025-12-04T09:54:18.0566643Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:54:18.056372][2517.755659092]
2025-12-04T09:54:18.0567173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:18.0570227Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_inline_and_install.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:18.056728]
2025-12-04T09:54:22.4187735Z 
2025-12-04T09:54:22.4188874Z dynamo/test_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_inline_and_install_1.1_db64ad0f8f9b2c24_.log
2025-12-04T09:54:22.4190115Z Running 0 items in this shard:
2025-12-04T09:54:22.4190314Z 
2025-12-04T09:54:22.4190647Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:54:22.418556][2522.117842127], took 0.07min
2025-12-04T09:54:22.4319033Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-cb918978eefcbfa1.xml
2025-12-04T09:54:22.5143943Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 09:54:22.514051][2522.21333573]
2025-12-04T09:54:22.5144534Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:22.5147973Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:22.514420]
2025-12-04T09:54:25.7458427Z 
2025-12-04T09:54:25.7459546Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_57023899b0557729_.log
2025-12-04T09:54:25.7460515Z Running 0 items in this shard:
2025-12-04T09:54:25.7460726Z 
2025-12-04T09:54:25.7461105Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 09:54:25.745639][2525.444925048], took 0.05min
2025-12-04T09:54:25.7590229Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-35295da5009961fb.xml
2025-12-04T09:54:25.7841103Z Running dynamo/test_base_output 1/1 ... [2025-12-04 09:54:25.783828][2525.483114316]
2025-12-04T09:54:25.7841616Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:25.7844674Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:25.784162]
2025-12-04T09:54:29.3220952Z 
2025-12-04T09:54:29.3221906Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_27fa03bafb8dbc5f_.log
2025-12-04T09:54:29.3222751Z Running 0 items in this shard:
2025-12-04T09:54:29.3222950Z 
2025-12-04T09:54:29.3223269Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 09:54:29.321855][2529.021142077], took 0.06min
2025-12-04T09:54:29.3353121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-87f717e9e859af9e.xml
2025-12-04T09:54:29.3625673Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:54:29.362320][2529.061607353]
2025-12-04T09:54:29.3626241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:29.3629063Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:29.362654]
2025-12-04T09:54:37.5931535Z 
2025-12-04T09:54:37.5933102Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_def99516ccf058f0_.log
2025-12-04T09:54:37.5934527Z 
2025-12-04T09:54:37.5935127Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:54:37.592912][2537.292197134], took 0.14min
2025-12-04T09:54:37.6075388Z Running export/test_serialize 1/1 ... [2025-12-04 09:54:37.607271][2537.306557051]
2025-12-04T09:54:37.6076247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:37.6081130Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_serialize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:37.607720]
2025-12-04T09:54:45.8764453Z 
2025-12-04T09:54:45.8765412Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_62587af4e0193f3d_.log
2025-12-04T09:54:45.8766223Z Running 0 items in this shard:
2025-12-04T09:54:45.8766435Z 
2025-12-04T09:54:45.8766731Z Finished export/test_serialize 1/1 ... [2025-12-04 09:54:45.876224][2545.575510295], took 0.14min
2025-12-04T09:54:45.8899134Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-b21e02afb8998f9f.xml
2025-12-04T09:54:45.9584554Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:54:45.958152][2545.657437735]
2025-12-04T09:54:45.9585139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:45.9588472Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutedsl_template.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:45.958520]
2025-12-04T09:54:54.1310280Z 
2025-12-04T09:54:54.1311984Z inductor/test_cutedsl_template 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutedsl_template_1.1_30e6aef57dc6bdb0_.log
2025-12-04T09:54:54.1312896Z Running 0 items in this shard:
2025-12-04T09:54:54.1313118Z 
2025-12-04T09:54:54.1313461Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:54:54.130839][2553.830123834], took 0.14min
2025-12-04T09:54:54.1453646Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-c0777a7d7300b9bd.xml
2025-12-04T09:54:54.2221946Z Running inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:54:54.221846][2553.921132711]
2025-12-04T09:54:54.2222626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:54.2225851Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:54.222226]
2025-12-04T09:55:02.3835308Z 
2025-12-04T09:55:02.3836681Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_6109bddb54b698f0_.log
2025-12-04T09:55:02.3837619Z Running 0 items in this shard:
2025-12-04T09:55:02.3837824Z 
2025-12-04T09:55:02.3838222Z Finished inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:55:02.383334][2562.082619851], took 0.14min
2025-12-04T09:55:02.3984597Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_scheduler/inductor.test_inductor_scheduler-b620d3a9540a46ee.xml
2025-12-04T09:55:02.4756984Z Running export/test_export_strict 1/1 ... [2025-12-04 09:55:02.475319][2562.174603501]
2025-12-04T09:55:02.4757657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:02.4760724Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:02.475763]
2025-12-04T09:55:11.6302475Z 
2025-12-04T09:55:11.6303430Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_e9dcac4fa95de70d_.log
2025-12-04T09:55:11.6304613Z Running 0 items in this shard:
2025-12-04T09:55:11.6304811Z 
2025-12-04T09:55:11.6305137Z Finished export/test_export_strict 1/1 ... [2025-12-04 09:55:11.630033][2571.329318317], took 0.15min
2025-12-04T09:55:11.6441620Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-6b8d963224b4b907.xml
2025-12-04T09:55:11.7084736Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:55:11.708217][2571.40750348]
2025-12-04T09:55:11.7085235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:11.7089377Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:11.708633]
2025-12-04T09:55:20.1990596Z 
2025-12-04T09:55:20.1991711Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_bec873f6c114ce6f_.log
2025-12-04T09:55:20.1992536Z Running 0 items in this shard:
2025-12-04T09:55:20.1992755Z 
2025-12-04T09:55:20.1993045Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:55:20.198813][2579.898099512], took 0.14min
2025-12-04T09:55:20.2130344Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-83647f3a3eb954b0.xml
2025-12-04T09:55:20.2800321Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 09:55:20.279774][2579.979060479]
2025-12-04T09:55:20.2800865Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:20.2804416Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:20.280132]
2025-12-04T09:55:23.8172075Z 
2025-12-04T09:55:23.8173067Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_43313e24b7cc4c86_.log
2025-12-04T09:55:23.8173945Z Running 0 items in this shard:
2025-12-04T09:55:23.8174143Z 
2025-12-04T09:55:23.8174466Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 09:55:23.816997][2583.51628351], took 0.06min
2025-12-04T09:55:23.8316289Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-06bb1a39132faf33.xml
2025-12-04T09:55:23.8538712Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:55:23.853570][2583.552854071]
2025-12-04T09:55:23.8539405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:23.8543030Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:23.854008]
2025-12-04T09:55:31.7687056Z 
2025-12-04T09:55:31.7688171Z 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_f6bc34fbf4a18bbc_.log
2025-12-04T09:55:31.7689059Z 
2025-12-04T09:55:31.7689433Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:55:31.768426][2591.467712785], took 0.13min
2025-12-04T09:55:31.7836407Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:55:31.783330][2591.482618133]
2025-12-04T09:55:31.7836936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:31.7839343Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:31.783686]
2025-12-04T09:55:39.6187764Z 
2025-12-04T09:55:39.6188754Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_376b580fe9637425_.log
2025-12-04T09:55:39.6189549Z 
2025-12-04T09:55:39.6189887Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:55:39.618578][2599.317864745], took 0.13min
2025-12-04T09:55:39.6335653Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 09:55:39.633339][2599.332625986]
2025-12-04T09:55:39.6336183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:39.6339519Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:39.633696]
2025-12-04T09:55:43.1368997Z 
2025-12-04T09:55:43.1369921Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_6210a1ef0894c940_.log
2025-12-04T09:55:43.1370810Z Running 0 items in this shard:
2025-12-04T09:55:43.1371007Z 
2025-12-04T09:55:43.1371346Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 09:55:43.136669][2602.835956058], took 0.06min
2025-12-04T09:55:43.1512809Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-8fe9ebbfda981556.xml
2025-12-04T09:55:43.2215266Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 09:55:43.221238][2602.920523979]
2025-12-04T09:55:43.2215798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:43.2219314Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_debug_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:43.221584]
2025-12-04T09:55:51.5405392Z 
2025-12-04T09:55:51.5406279Z inductor/test_debug_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_debug_trace_1.1_3f6c7975e782e3ee_.log
2025-12-04T09:55:51.5407363Z Running 0 items in this shard:
2025-12-04T09:55:51.5407571Z 
2025-12-04T09:55:51.5407890Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 09:55:51.540314][2611.239600528], took 0.14min
2025-12-04T09:55:51.5549334Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-b30e4296c66d774c.xml
2025-12-04T09:55:51.6193991Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:55:51.619101][2611.318387082]
2025-12-04T09:55:51.6194516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:51.6197902Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:51.619463]
2025-12-04T09:55:55.1721293Z 
2025-12-04T09:55:55.1722234Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_8c978134144da503_.log
2025-12-04T09:55:55.1723086Z Running 0 items in this shard:
2025-12-04T09:55:55.1723316Z 
2025-12-04T09:55:55.1723622Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:55:55.171896][2614.871183319], took 0.06min
2025-12-04T09:55:55.1867521Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-479d928dde86b2d9.xml
2025-12-04T09:55:55.2192582Z Running inductor/test_foreach 1/1 ... [2025-12-04 09:55:55.218968][2614.918255588]
2025-12-04T09:55:55.2193091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:55.2195843Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:55.219338]
2025-12-04T09:56:04.3888332Z 
2025-12-04T09:56:04.3889380Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_77282387bb9c8582_.log
2025-12-04T09:56:04.3890212Z Running 0 items in this shard:
2025-12-04T09:56:04.3890414Z 
2025-12-04T09:56:04.3890727Z Finished inductor/test_foreach 1/1 ... [2025-12-04 09:56:04.388625][2624.08791176], took 0.15min
2025-12-04T09:56:04.4035808Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-60d289d6f00c636d.xml
2025-12-04T09:56:04.4754242Z Running export/test_tree_utils 1/1 ... [2025-12-04 09:56:04.475150][2624.174435787]
2025-12-04T09:56:04.4754771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:04.4757856Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tree_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:04.475488]
2025-12-04T09:56:07.8651926Z 
2025-12-04T09:56:07.8652880Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_d8b585b697df65b5_.log
2025-12-04T09:56:07.8653736Z Running 0 items in this shard:
2025-12-04T09:56:07.8653941Z 
2025-12-04T09:56:07.8654515Z Finished export/test_tree_utils 1/1 ... [2025-12-04 09:56:07.864977][2627.564264201], took 0.06min
2025-12-04T09:56:07.8799968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tree_utils/export.test_tree_utils-d26047af8e35d432.xml
2025-12-04T09:56:07.9064699Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 09:56:07.906184][2627.605469845]
2025-12-04T09:56:07.9065264Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:07.9068232Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_static_cuda_launcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:07.906534]
2025-12-04T09:56:16.3542953Z 
2025-12-04T09:56:16.3544182Z inductor/test_static_cuda_launcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_static_cuda_launcher_1.1_443c5aa42a7d5ad2_.log
2025-12-04T09:56:16.3545341Z Running 0 items in this shard:
2025-12-04T09:56:16.3545559Z 
2025-12-04T09:56:16.3545927Z Finished inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 09:56:16.354059][2636.053344761], took 0.14min
2025-12-04T09:56:16.3696290Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_static_cuda_launcher/inductor.test_static_cuda_launcher-638db2df6b649fd1.xml
2025-12-04T09:56:16.4360455Z Running export/test_dynamic_shapes 1/1 ... [2025-12-04 09:56:16.435625][2636.134908969]
2025-12-04T09:56:16.4361014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:16.4363238Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:16.436046]
2025-12-04T09:56:19.8529650Z 
2025-12-04T09:56:19.8530674Z export/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_dynamic_shapes_1.1_836785ae0282d872_.log
2025-12-04T09:56:19.8531533Z Running 0 items in this shard:
2025-12-04T09:56:19.8531743Z 
2025-12-04T09:56:19.8532062Z Finished export/test_dynamic_shapes 1/1 ... [2025-12-04 09:56:19.852725][2639.552011792], took 0.06min
2025-12-04T09:56:19.8684747Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_dynamic_shapes/export.test_dynamic_shapes-fb295b65cfcf11a9.xml
2025-12-04T09:56:19.8945725Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 09:56:19.894266][2639.593551551]
2025-12-04T09:56:19.8946200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:19.8949569Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:19.894674]
2025-12-04T09:56:23.6699734Z 
2025-12-04T09:56:23.6700671Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_933ee95c9141ff31_.log
2025-12-04T09:56:23.6701455Z Running 0 items in this shard:
2025-12-04T09:56:23.6701658Z 
2025-12-04T09:56:23.6701946Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 09:56:23.669758][2643.369044594], took 0.06min
2025-12-04T09:56:23.6854959Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sdpa/dynamo.test_sdpa-9532cc04ecbb06da.xml
2025-12-04T09:56:23.7106659Z Running dynamo/test_utils 1/1 ... [2025-12-04 09:56:23.710308][2643.409591507]
2025-12-04T09:56:23.7107479Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:23.7111195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:23.710787]
2025-12-04T09:56:27.1475303Z 
2025-12-04T09:56:27.1476174Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_a9ee272f6585a64d_.log
2025-12-04T09:56:27.1476960Z Running 0 items in this shard:
2025-12-04T09:56:27.1477162Z 
2025-12-04T09:56:27.1477452Z Finished dynamo/test_utils 1/1 ... [2025-12-04 09:56:27.147304][2646.846589266], took 0.06min
2025-12-04T09:56:27.1634608Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-adb9238abe605366.xml
2025-12-04T09:56:27.1877629Z Running inductor/test_provenance_tracing 1/1 ... [2025-12-04 09:56:27.187454][2646.886737792]
2025-12-04T09:56:27.1878188Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:27.1881816Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_provenance_tracing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:27.187911]
2025-12-04T09:56:35.9206755Z 
2025-12-04T09:56:35.9208010Z 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_1a23912ac2ff9a0c_.log
2025-12-04T09:56:35.9209002Z Running 0 items in this shard:
2025-12-04T09:56:35.9209213Z 
2025-12-04T09:56:35.9209562Z Finished inductor/test_provenance_tracing 1/1 ... [2025-12-04 09:56:35.920465][2655.619751644], took 0.15min
2025-12-04T09:56:35.9363689Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-9aa99530f5865583.xml
2025-12-04T09:56:36.0418746Z Running inductor/test_combo_kernels 1/1 ... [2025-12-04 09:56:36.041543][2655.740826355]
2025-12-04T09:56:36.0419270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:36.0422611Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:36.041956]
2025-12-04T09:56:44.4760050Z 
2025-12-04T09:56:44.4761050Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_85a8ac7ce9826589_.log
2025-12-04T09:56:44.4761941Z Running 0 items in this shard:
2025-12-04T09:56:44.4762164Z 
2025-12-04T09:56:44.4762510Z Finished inductor/test_combo_kernels 1/1 ... [2025-12-04 09:56:44.475790][2664.17507576], took 0.14min
2025-12-04T09:56:44.4922002Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_combo_kernels/inductor.test_combo_kernels-08e2b6e40570bd6b.xml
2025-12-04T09:56:44.5703062Z Running inductor/test_codegen_triton 1/1 ... [2025-12-04 09:56:44.570026][2664.269312606]
2025-12-04T09:56:44.5703587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:44.5707822Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_codegen_triton.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:44.570411]
2025-12-04T09:56:52.6970306Z 
2025-12-04T09:56:52.6972137Z inductor/test_codegen_triton 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codegen_triton_1.1_e87a69031ce75e8d_.log
2025-12-04T09:56:52.6973122Z Running 0 items in this shard:
2025-12-04T09:56:52.6973335Z 
2025-12-04T09:56:52.6973676Z Finished inductor/test_codegen_triton 1/1 ... [2025-12-04 09:56:52.696829][2672.396113309], took 0.14min
2025-12-04T09:56:52.7129936Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_codegen_triton/inductor.test_codegen_triton-2a95f48228e79647.xml
2025-12-04T09:56:52.7856245Z Running dynamo/test_frame_init 1/1 ... [2025-12-04 09:56:52.785358][2672.484644214]
2025-12-04T09:56:52.7856742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:52.7860418Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_frame_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:52.785745]
2025-12-04T09:56:55.9701812Z 
2025-12-04T09:56:55.9703060Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_fdf2e0f0070c890e_.log
2025-12-04T09:56:55.9704082Z Running 0 items in this shard:
2025-12-04T09:56:55.9704399Z 
2025-12-04T09:56:55.9704715Z Finished dynamo/test_frame_init 1/1 ... [2025-12-04 09:56:55.969964][2675.669250384], took 0.05min
2025-12-04T09:56:55.9866753Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-b59a0000c05c44bf.xml
2025-12-04T09:56:56.0168403Z Running inductor/test_device_assert 1/1 ... [2025-12-04 09:56:56.016487][2675.715771047]
2025-12-04T09:56:56.0168957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:56.0172680Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_device_assert.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:56.016959]
2025-12-04T09:57:04.3266008Z 
2025-12-04T09:57:04.3267135Z inductor/test_device_assert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_device_assert_1.1_2d180074e5bb2226_.log
2025-12-04T09:57:04.3268015Z Running 0 items in this shard:
2025-12-04T09:57:04.3268229Z 
2025-12-04T09:57:04.3268556Z Finished inductor/test_device_assert 1/1 ... [2025-12-04 09:57:04.326404][2684.025688845], took 0.14min
2025-12-04T09:57:04.3426801Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_device_assert/inductor.test_device_assert-0945daa50b26c48d.xml
2025-12-04T09:57:04.4142015Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:57:04.413860][2684.113144996]
2025-12-04T09:57:04.4142572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:04.4145598Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:04.414256]
2025-12-04T09:57:07.9272483Z 
2025-12-04T09:57:07.9273455Z 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_4a09b5c6d9e97a50_.log
2025-12-04T09:57:07.9274331Z Running 0 items in this shard:
2025-12-04T09:57:07.9274527Z 
2025-12-04T09:57:07.9274853Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:57:07.927060][2687.62634628], took 0.06min
2025-12-04T09:57:07.9436147Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-82af06016e8064cd.xml
2025-12-04T09:57:07.9701483Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:57:07.969891][2687.669176717]
2025-12-04T09:57:07.9702057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:07.9705471Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:07.970261]
2025-12-04T09:57:11.5068825Z 
2025-12-04T09:57:11.5069818Z 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_a48fb633ba550cd2_.log
2025-12-04T09:57:11.5070749Z Running 0 items in this shard:
2025-12-04T09:57:11.5070947Z 
2025-12-04T09:57:11.5071294Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:57:11.506676][2691.20596151], took 0.06min
2025-12-04T09:57:11.5234844Z 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-c15edad34a5eeb46.xml
2025-12-04T09:57:11.5463896Z Running dynamo/test_interop 1/1 ... [2025-12-04 09:57:11.546095][2691.245382735]
2025-12-04T09:57:11.5464404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:11.5467430Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:11.546449]
2025-12-04T09:57:15.3194690Z 
2025-12-04T09:57:15.3195647Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_1fe43292c00e6d1e_.log
2025-12-04T09:57:15.3196924Z Running 0 items in this shard:
2025-12-04T09:57:15.3197132Z 
2025-12-04T09:57:15.3197434Z Finished dynamo/test_interop 1/1 ... [2025-12-04 09:57:15.319236][2695.01852223], took 0.06min
2025-12-04T09:57:15.3363229Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_interop/dynamo.test_interop-202effc8f13243e2.xml
2025-12-04T09:57:15.3636416Z Running functorch/test_eager_transforms 1/1 ... [2025-12-04 09:57:15.363278][2695.062562161]
2025-12-04T09:57:15.3636968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:15.3639633Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:15.363683]
2025-12-04T09:57:20.5092092Z 
2025-12-04T09:57:20.5093139Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_1b009434236558f7_.log
2025-12-04T09:57:20.5094068Z Running 0 items in this shard:
2025-12-04T09:57:20.5094277Z 
2025-12-04T09:57:20.5094632Z Finished functorch/test_eager_transforms 1/1 ... [2025-12-04 09:57:20.508985][2700.208273034], took 0.09min
2025-12-04T09:57:20.5257952Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_eager_transforms/functorch.test_eager_transforms-cc0ba3e8c58623cf.xml
2025-12-04T09:57:20.5534790Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:57:20.553208][2700.252495342]
2025-12-04T09:57:20.5535304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:20.5538391Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:20.553570]
2025-12-04T09:57:28.7324065Z 
2025-12-04T09:57:28.7325026Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_3ba4a5dc65399697_.log
2025-12-04T09:57:28.7325797Z 
2025-12-04T09:57:28.7326120Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:57:28.732176][2708.431462662], took 0.14min
2025-12-04T09:57:28.7498734Z Running inductor/test_benchmarking 1/1 ... [2025-12-04 09:57:28.749552][2708.448836418]
2025-12-04T09:57:28.7501905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:28.7503279Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:28.750029]
2025-12-04T09:57:37.2346908Z 
2025-12-04T09:57:37.2347877Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_1f9b35ce3c967ba3_.log
2025-12-04T09:57:37.2348766Z Running 0 items in this shard:
2025-12-04T09:57:37.2348967Z 
2025-12-04T09:57:37.2349293Z Finished inductor/test_benchmarking 1/1 ... [2025-12-04 09:57:37.234451][2716.933737133], took 0.14min
2025-12-04T09:57:37.2517810Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmarking/inductor.test_benchmarking-6e91ac194056899e.xml
2025-12-04T09:57:37.3235404Z Running inductor/test_helion_kernels 1/1 ... [2025-12-04 09:57:37.323187][2717.022471507]
2025-12-04T09:57:37.3235964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:37.3239387Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:37.323631]
2025-12-04T09:57:45.4485345Z 
2025-12-04T09:57:45.4486359Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_585bcee56843dab3_.log
2025-12-04T09:57:45.4487248Z Running 0 items in this shard:
2025-12-04T09:57:45.4487446Z 
2025-12-04T09:57:45.4487783Z Finished inductor/test_helion_kernels 1/1 ... [2025-12-04 09:57:45.448325][2725.147611779], took 0.14min
2025-12-04T09:57:45.4656529Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_helion_kernels/inductor.test_helion_kernels-1f374985bdc5e3cf.xml
2025-12-04T09:57:45.5386730Z Running inductor/test_best_config 1/1 ... [2025-12-04 09:57:45.538378][2725.237664937]
2025-12-04T09:57:45.5387266Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:45.5390111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:45.538731]
2025-12-04T09:57:53.3896734Z 
2025-12-04T09:57:53.3897707Z 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_2b57cfac1e15c676_.log
2025-12-04T09:57:53.3898447Z 
2025-12-04T09:57:53.3898768Z Finished inductor/test_best_config 1/1 ... [2025-12-04 09:57:53.389440][2733.088726303], took 0.13min
2025-12-04T09:57:53.4070910Z Running export/test_tools 1/1 ... [2025-12-04 09:57:53.406887][2733.106175141]
2025-12-04T09:57:53.4071394Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:53.4075239Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tools.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:53.407243]
2025-12-04T09:57:56.9205568Z 
2025-12-04T09:57:56.9207010Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_b5378b23feb20dfd_.log
2025-12-04T09:57:56.9208065Z Running 0 items in this shard:
2025-12-04T09:57:56.9208319Z 
2025-12-04T09:57:56.9208621Z Finished export/test_tools 1/1 ... [2025-12-04 09:57:56.920361][2736.619647205], took 0.06min
2025-12-04T09:57:56.9376578Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tools/export.test_tools-d0ecc0b2d6463a11.xml
2025-12-04T09:57:56.9964046Z Running inductor/test_compiled_optimizers 1/1 ... [2025-12-04 09:57:56.996121][2736.695406424]
2025-12-04T09:57:56.9964626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:56.9967681Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:56.996477]
2025-12-04T09:58:07.6896377Z 
2025-12-04T09:58:07.6897394Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_90b9d720507e2c6f_.log
2025-12-04T09:58:07.6898356Z Running 0 items in this shard:
2025-12-04T09:58:07.6898566Z 
2025-12-04T09:58:07.6898924Z Finished inductor/test_compiled_optimizers 1/1 ... [2025-12-04 09:58:07.689407][2747.388693988], took 0.18min
2025-12-04T09:58:07.7069603Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-3d9c32da40f7e411.xml
2025-12-04T09:58:07.7896796Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:58:07.789298][2747.488581181]
2025-12-04T09:58:07.7897387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:07.7899732Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_custom_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:07.789682]
2025-12-04T09:58:15.8838210Z 
2025-12-04T09:58:15.8839306Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_dba63f979d183639_.log
2025-12-04T09:58:15.8840144Z 
2025-12-04T09:58:15.8840523Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:58:15.883600][2755.582885742], took 0.13min
2025-12-04T09:58:15.9017158Z Running inductor/test_profiler 1/1 ... [2025-12-04 09:58:15.901425][2755.600712761]
2025-12-04T09:58:15.9017679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:15.9020406Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:15.901787]
2025-12-04T09:58:23.8342262Z 
2025-12-04T09:58:23.8343187Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_c0d19a3b1d91618c_.log
2025-12-04T09:58:23.8343930Z 
2025-12-04T09:58:23.8344236Z Finished inductor/test_profiler 1/1 ... [2025-12-04 09:58:23.833972][2763.533258232], took 0.13min
2025-12-04T09:58:23.8521285Z Running export/test_export_opinfo 1/1 ... [2025-12-04 09:58:23.851881][2763.551168235]
2025-12-04T09:58:23.8522099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:23.8524985Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:23.852244]
2025-12-04T09:58:28.4490026Z 
2025-12-04T09:58:28.4490939Z 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_14aa87491df38ea9_.log
2025-12-04T09:58:28.4491809Z Running 0 items in this shard:
2025-12-04T09:58:28.4492006Z 
2025-12-04T09:58:28.4492322Z Finished export/test_export_opinfo 1/1 ... [2025-12-04 09:58:28.448792][2768.148077681], took 0.08min
2025-12-04T09:58:28.4664245Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_opinfo/export.test_export_opinfo-4b0fbd4830211edc.xml
2025-12-04T09:58:28.5371519Z Running inductor/test_dependencies 1/1 ... [2025-12-04 09:58:28.536881][2768.236168074]
2025-12-04T09:58:28.5372059Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:28.5375224Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_dependencies.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:28.537225]
2025-12-04T09:58:36.7988955Z 
2025-12-04T09:58:36.7989948Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_235bbd6a00f4cadc_.log
2025-12-04T09:58:36.7990724Z 
2025-12-04T09:58:36.7991068Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 09:58:36.798644][2776.497930295], took 0.14min
2025-12-04T09:58:36.8173979Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:58:36.817038][2776.516321899]
2025-12-04T09:58:36.8174505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:36.8177377Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:36.817473]
2025-12-04T09:58:40.2009720Z 
2025-12-04T09:58:40.2010887Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_b73b30e74fb354e9_.log
2025-12-04T09:58:40.2011642Z 
2025-12-04T09:58:40.2011956Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 09:58:40.200703][2779.899990115], took 0.06min
2025-12-04T09:58:40.2188745Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:58:40.218612][2779.917900173]
2025-12-04T09:58:40.2189330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:40.2192242Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:40.218973]
2025-12-04T09:58:48.0959720Z 
2025-12-04T09:58:48.0960753Z 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_49fff8aedbce2e8d_.log
2025-12-04T09:58:48.0961562Z 
2025-12-04T09:58:48.0961926Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 09:58:48.095745][2787.795031948], took 0.13min
2025-12-04T09:58:48.1140684Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 09:58:48.113840][2787.81312804]
2025-12-04T09:58:48.1141192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:48.1145240Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:48.114242]
2025-12-04T09:58:51.8571072Z 
2025-12-04T09:58:51.8572467Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_a83253425dc0dac6_.log
2025-12-04T09:58:51.8573996Z Running 0 items in this shard:
2025-12-04T09:58:51.8574362Z 
2025-12-04T09:58:51.8574925Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 09:58:51.856848][2791.556135515], took 0.06min
2025-12-04T09:58:51.8749852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_debug_utils/dynamo.test_debug_utils-be9c1c672378c708.xml
2025-12-04T09:58:51.9498742Z Running dynamo/test_package 1/1 ... [2025-12-04 09:58:51.949572][2791.648859024]
2025-12-04T09:58:51.9499575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:51.9503982Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:51.949993]
2025-12-04T09:59:00.7622052Z 
2025-12-04T09:59:00.7622981Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_660726519ea107ac_.log
2025-12-04T09:59:00.7623788Z Running 0 items in this shard:
2025-12-04T09:59:00.7623986Z 
2025-12-04T09:59:00.7624289Z Finished dynamo/test_package 1/1 ... [2025-12-04 09:59:00.762000][2800.461287471], took 0.15min
2025-12-04T09:59:00.7800205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_package/dynamo.test_package-46f8a946e1708a08.xml
2025-12-04T09:59:00.8478127Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 09:59:00.847449][2800.546733103]
2025-12-04T09:59:00.8478692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:00.8481515Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:00.847839]
2025-12-04T09:59:09.1229598Z 
2025-12-04T09:59:09.1230587Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_9c1cb6c69f2bf6e5_.log
2025-12-04T09:59:09.1231559Z Running 0 items in this shard:
2025-12-04T09:59:09.1231757Z 
2025-12-04T09:59:09.1232170Z Finished inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 09:59:09.122765][2808.822051815], took 0.14min
2025-12-04T09:59:09.1406882Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_efficient_conv_bn_eval/inductor.test_efficient_conv_bn_eval-9e3b28175d61ced9.xml
2025-12-04T09:59:09.2047523Z Running inductor/test_torchbind 1/1 ... [2025-12-04 09:59:09.204436][2808.903721737]
2025-12-04T09:59:09.2048049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:09.2050950Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:09.204787]
2025-12-04T09:59:17.1867033Z 
2025-12-04T09:59:17.1868138Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_455d49b63c083430_.log
2025-12-04T09:59:17.1869296Z Running 0 items in this shard:
2025-12-04T09:59:17.1869501Z 
2025-12-04T09:59:17.1869827Z Finished inductor/test_torchbind 1/1 ... [2025-12-04 09:59:17.186484][2816.885769717], took 0.13min
2025-12-04T09:59:17.2050209Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchbind/inductor.test_torchbind-f0c50bb9d1446d63.xml
2025-12-04T09:59:17.2690022Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:59:17.268688][2816.967973611]
2025-12-04T09:59:17.2690581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:17.2693715Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:17.269054]
2025-12-04T09:59:21.0281871Z 
2025-12-04T09:59:21.0282671Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_749207d53841a050_.log
2025-12-04T09:59:21.0283556Z Running 0 items in this shard:
2025-12-04T09:59:21.0283752Z 
2025-12-04T09:59:21.0284088Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:59:21.027944][2820.727231007], took 0.06min
2025-12-04T09:59:21.0462654Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_dispatcher/dynamo.test_python_dispatcher-194c538e7c4b9979.xml
2025-12-04T09:59:21.0725358Z Running export/test_swap 1/1 ... [2025-12-04 09:59:21.072255][2820.771541978]
2025-12-04T09:59:21.0725847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:21.0728548Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_swap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:21.072596]
2025-12-04T09:59:24.3087856Z 
2025-12-04T09:59:24.3088961Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_1ad2f98e34b28f15_.log
2025-12-04T09:59:24.3089750Z Running 0 items in this shard:
2025-12-04T09:59:24.3089970Z 
2025-12-04T09:59:24.3269220Z Finished export/test_swap 1/1 ... [2025-12-04 09:59:24.308600][2824.007887108], took 0.05min
2025-12-04T09:59:24.3270253Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_swap/export.test_swap-a1a84659006e26dd.xml
2025-12-04T09:59:24.3508146Z Running export/test_unflatten 1/1 ... [2025-12-04 09:59:24.350502][2824.04978833]
2025-12-04T09:59:24.3508642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:24.3511641Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:24.350885]
2025-12-04T09:59:27.6825372Z 
2025-12-04T09:59:27.6826246Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_f3525a4283333cdb_.log
2025-12-04T09:59:27.6827073Z Running 0 items in this shard:
2025-12-04T09:59:27.6827275Z 
2025-12-04T09:59:27.6827582Z Finished export/test_unflatten 1/1 ... [2025-12-04 09:59:27.682336][2827.381622619], took 0.06min
2025-12-04T09:59:27.7011607Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-dbad283a3c65a30c.xml
2025-12-04T09:59:27.7510008Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 09:59:27.750652][2827.449936372]
2025-12-04T09:59:27.7510582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:27.7514201Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:27.751089]
2025-12-04T09:59:31.2780932Z 
2025-12-04T09:59:31.2782100Z 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_5363601bc4bd5572_.log
2025-12-04T09:59:31.2783005Z Running 0 items in this shard:
2025-12-04T09:59:31.2783220Z 
2025-12-04T09:59:31.2783560Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 09:59:31.277893][2830.977179481], took 0.06min
2025-12-04T09:59:31.2967052Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-a07584fc001843a5.xml
2025-12-04T09:59:31.3688701Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 09:59:31.368589][2831.067875099]
2025-12-04T09:59:31.3689326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:31.3692421Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:31.368937]
2025-12-04T09:59:35.0640097Z 
2025-12-04T09:59:35.0641350Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_9dc8f2713d77c613_.log
2025-12-04T09:59:35.0642267Z 
2025-12-04T09:59:35.0642666Z Finished dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 09:59:35.063805][2834.763091953], took 0.06min
2025-12-04T09:59:35.0831403Z Running inductor/test_caching 1/1 ... [2025-12-04 09:59:35.082910][2834.782197654]
2025-12-04T09:59:35.0831904Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:35.0835401Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_caching.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:35.083274]
2025-12-04T09:59:38.6482761Z 
2025-12-04T09:59:38.6483705Z inductor/test_caching 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_caching_1.1_27781f0bd64ba1b1_.log
2025-12-04T09:59:38.6484534Z Running 0 items in this shard:
2025-12-04T09:59:38.6484732Z 
2025-12-04T09:59:38.6485032Z Finished inductor/test_caching 1/1 ... [2025-12-04 09:59:38.648111][2838.347397499], took 0.06min
2025-12-04T09:59:38.6668566Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_caching/inductor.test_caching-7e1dbe7296f86ae3.xml
2025-12-04T09:59:38.7396920Z Running export/test_hop 1/1 ... [2025-12-04 09:59:38.739424][2838.438710126]
2025-12-04T09:59:38.7399769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:38.7401055Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:38.739783]
2025-12-04T09:59:43.0081615Z 
2025-12-04T09:59:43.0082441Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_e4a82a71e5f19462_.log
2025-12-04T09:59:43.0083207Z Running 0 items in this shard:
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2025-12-04T09:59:43.0083970Z Finished export/test_hop 1/1 ... [2025-12-04 09:59:43.007997][2842.70728388], took 0.07min
2025-12-04T09:59:43.0270104Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_hop/export.test_hop-d05888f91b7a73f4.xml
2025-12-04T09:59:43.0542972Z Running export/test_export 1/1 ... [2025-12-04 09:59:43.054043][2842.753330519]
2025-12-04T09:59:43.0543450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:43.0546606Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:43.054374]
2025-12-04T09:59:52.0047784Z 
2025-12-04T09:59:52.0048702Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_4d7acbc9916b4118_.log
2025-12-04T09:59:52.0049538Z Running 0 items in this shard:
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2025-12-04T09:59:52.0050050Z Finished export/test_export 1/1 ... [2025-12-04 09:59:52.004571][2851.703857139], took 0.15min
2025-12-04T09:59:52.0237346Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-0600fb499a120355.xml
2025-12-04T09:59:52.0971310Z Running test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:59:52.096832][2851.796118398]
2025-12-04T09:59:52.0971845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:52.0975287Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:52.097191]
2025-12-04T09:59:55.7389048Z 
2025-12-04T09:59:55.7390343Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_0654728c3fcf35c7_.log
2025-12-04T09:59:55.7391223Z Running 0 items in this shard:
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2025-12-04T09:59:55.7391753Z Finished test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:59:55.738678][2855.43796433], took 0.06min
2025-12-04T09:59:55.7581535Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_model_exports_to_core_aten/test_model_exports_to_core_aten-08c83c6db5ab806e.xml
2025-12-04T09:59:55.7903826Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 09:59:55.790121][2855.489407787]
2025-12-04T09:59:55.7904385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:55.7907578Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:55.790456]
2025-12-04T10:00:03.7888465Z 
2025-12-04T10:00:03.7889478Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_2e8b8ce867119d95_.log
2025-12-04T10:00:03.7890390Z Running 0 items in this shard:
2025-12-04T10:00:03.7890592Z 
2025-12-04T10:00:03.7890946Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 10:00:03.788658][2863.487944381], took 0.13min
2025-12-04T10:00:03.8082333Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_precompile_context/dynamo.test_precompile_context-59645dd242c7d06c.xml
2025-12-04T10:00:03.8766030Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 10:00:03.876359][2863.575645727]
2025-12-04T10:00:03.8766546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:03.8770236Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:03.876703]
2025-12-04T10:00:07.0860041Z 
2025-12-04T10:00:07.0860955Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_4e6fe20015fd8929_.log
2025-12-04T10:00:07.0863067Z Running 0 items in this shard:
2025-12-04T10:00:07.0863310Z 
2025-12-04T10:00:07.0863740Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 10:00:07.085813][2866.785100014], took 0.05min
2025-12-04T10:00:07.1054508Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_trace_rules/dynamo.test_trace_rules-ac4f3573cbdb5f3f.xml
2025-12-04T10:00:07.1316647Z Running export/test_upgrader 1/1 ... [2025-12-04 10:00:07.131401][2866.830688445]
2025-12-04T10:00:07.1317323Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:07.1320000Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:07.131729]
2025-12-04T10:00:10.3929757Z 
2025-12-04T10:00:10.3930704Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_ac8b266a8ff96091_.log
2025-12-04T10:00:10.3931544Z Running 0 items in this shard:
2025-12-04T10:00:10.3931748Z 
2025-12-04T10:00:10.3932056Z Finished export/test_upgrader 1/1 ... [2025-12-04 10:00:10.392777][2870.092063863], took 0.05min
2025-12-04T10:00:10.4128064Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_upgrader/export.test_upgrader-3f8778ef2c3335d4.xml
2025-12-04T10:00:10.4390474Z Running dynamo/test_hooks 1/1 ... [2025-12-04 10:00:10.438811][2870.138098301]
2025-12-04T10:00:10.4390975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:10.4394358Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:10.439148]
2025-12-04T10:00:14.0730664Z 
2025-12-04T10:00:14.0731748Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_ecb1436def1f29e6_.log
2025-12-04T10:00:14.0732529Z Running 0 items in this shard:
2025-12-04T10:00:14.0732745Z 
2025-12-04T10:00:14.0733023Z Finished dynamo/test_hooks 1/1 ... [2025-12-04 10:00:14.072868][2873.772154057], took 0.06min
2025-12-04T10:00:14.0927554Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_hooks/dynamo.test_hooks-6a147c84274df2d4.xml
2025-12-04T10:00:14.1192026Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 10:00:14.118949][2873.818235457]
2025-12-04T10:00:14.1192546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:14.1195735Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:14.119291]
2025-12-04T10:00:17.7381029Z 
2025-12-04T10:00:17.7382191Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_baa75849880ab0b4_.log
2025-12-04T10:00:17.7383039Z Running 0 items in this shard:
2025-12-04T10:00:17.7383293Z 
2025-12-04T10:00:17.7383876Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 10:00:17.737896][2877.437183113], took 0.06min
2025-12-04T10:00:17.7579114Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_reorder_logs/dynamo.test_reorder_logs-9046c7036d0df031.xml
2025-12-04T10:00:17.7829455Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 10:00:17.782732][2877.482018689]
2025-12-04T10:00:17.7829949Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:17.7833425Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:17.783083]
2025-12-04T10:00:26.0797351Z 
2025-12-04T10:00:26.0798308Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_60c01f6cdfa531aa_.log
2025-12-04T10:00:26.0799201Z Running 0 items in this shard:
2025-12-04T10:00:26.0799406Z 
2025-12-04T10:00:26.0799710Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 10:00:26.079476][2885.778761906], took 0.14min
2025-12-04T10:00:26.0997705Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_subclasses/dynamo.test_subclasses-e34211811ca41c19.xml
2025-12-04T10:00:26.1673077Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:00:26.167022][2885.866307864]
2025-12-04T10:00:26.1673607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:26.1676427Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:26.167373]
2025-12-04T10:00:29.8629023Z 
2025-12-04T10:00:29.8630176Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_e16c921b6288c679_.log
2025-12-04T10:00:29.8631027Z Running 0 items in this shard:
2025-12-04T10:00:29.8631227Z 
2025-12-04T10:00:29.8631544Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:00:29.862731][2889.562017156], took 0.06min
2025-12-04T10:00:29.8832975Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-b71e8771494e8c65.xml
2025-12-04T10:00:29.9111831Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:00:29.910874][2889.610161027]
2025-12-04T10:00:29.9112334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:29.9114781Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:29.911219]
2025-12-04T10:00:33.6286493Z 
2025-12-04T10:00:33.6287407Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_b43225ca942bd7c0_.log
2025-12-04T10:00:33.6288306Z Running 0 items in this shard:
2025-12-04T10:00:33.6288528Z 
2025-12-04T10:00:33.6288827Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:00:33.628460][2893.327746566], took 0.06min
2025-12-04T10:00:33.6485231Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_generator/dynamo.test_generator-b536ef3042ba37bb.xml
2025-12-04T10:00:33.7020812Z Running export/test_lift_unlift 1/1 ... [2025-12-04 10:00:33.701808][2893.401094669]
2025-12-04T10:00:33.7021313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:33.7025094Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:33.702176]
2025-12-04T10:00:36.9860391Z 
2025-12-04T10:00:36.9861325Z 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_6f1a6e02ef889791_.log
2025-12-04T10:00:36.9862161Z Running 0 items in this shard:
2025-12-04T10:00:36.9862360Z 
2025-12-04T10:00:36.9862674Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 10:00:36.985858][2896.685144682], took 0.05min
2025-12-04T10:00:37.0062451Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-a86c1f20c4060ec1.xml
2025-12-04T10:00:37.0333213Z Running export/test_verifier 1/1 ... [2025-12-04 10:00:37.033059][2896.732345592]
2025-12-04T10:00:37.0333717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:37.0336666Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:37.033408]
2025-12-04T10:00:40.3724879Z 
2025-12-04T10:00:40.3725773Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_0c47ec3742d00d7c_.log
2025-12-04T10:00:40.3726593Z Running 0 items in this shard:
2025-12-04T10:00:40.3726798Z 
2025-12-04T10:00:40.3727093Z Finished export/test_verifier 1/1 ... [2025-12-04 10:00:40.372262][2900.07154942], took 0.06min
2025-12-04T10:00:40.3931240Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-f67d802412a617d6.xml
2025-12-04T10:00:40.4169404Z Running export/test_sparse 1/2 ... [2025-12-04 10:00:40.416613][2900.115898305]
2025-12-04T10:00:40.4169897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:40.4172590Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:40.417001]
2025-12-04T10:00:44.1866082Z 
2025-12-04T10:00:44.1867134Z export/test_sparse 1/2 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.2_9484e67b39cd873a_.log
2025-12-04T10:00:44.1867940Z Running 0 items in this shard:
2025-12-04T10:00:44.1868140Z 
2025-12-04T10:00:44.1868423Z Finished export/test_sparse 1/2 ... [2025-12-04 10:00:44.186432][2903.885718202], took 0.06min
2025-12-04T10:00:44.2068589Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_sparse/export.test_sparse-6f245c73f3335cb4.xml
2025-12-04T10:00:44.2300780Z Running xpu/test_fusion 1/1 ... [2025-12-04 10:00:44.229861][2903.929146627]
2025-12-04T10:00:44.2301260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:44.2305230Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:44.230269]
2025-12-04T10:00:48.0718829Z 
2025-12-04T10:00:48.0719696Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_4cdc50fbae20ac90_.log
2025-12-04T10:00:48.0720465Z Running 0 items in this shard:
2025-12-04T10:00:48.0720676Z 
2025-12-04T10:00:48.0720947Z Finished xpu/test_fusion 1/1 ... [2025-12-04 10:00:48.071672][2907.770959185], took 0.06min
2025-12-04T10:00:48.0928838Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-06de439f600fbead.xml
2025-12-04T10:00:48.1198228Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 10:00:48.119521][2907.818804692]
2025-12-04T10:00:48.1198725Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:48.1202218Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:48.119921]
2025-12-04T10:00:51.8392692Z 
2025-12-04T10:00:51.8393550Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_3a7bc4b7051b93f1_.log
2025-12-04T10:00:51.8394375Z Running 0 items in this shard:
2025-12-04T10:00:51.8394599Z 
2025-12-04T10:00:51.8394905Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 10:00:51.839077][2911.538364516], took 0.06min
2025-12-04T10:00:51.8598732Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-244dc718d2266de8.xml
2025-12-04T10:00:51.8855464Z Running xpu/test_gemm 1/1 ... [2025-12-04 10:00:51.885297][2911.584584455]
2025-12-04T10:00:51.8855940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:51.8859074Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:51.885626]
2025-12-04T10:00:55.8603489Z 
2025-12-04T10:00:55.8812055Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_7f8aa1ece80085d6_.log
2025-12-04T10:00:55.8813101Z Running 0 items in this shard:
2025-12-04T10:00:55.8813303Z 
2025-12-04T10:00:55.8813555Z Finished xpu/test_gemm 1/1 ... [2025-12-04 10:00:55.860148][2915.55943535], took 0.07min
2025-12-04T10:00:55.8814528Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-1bfe5dff7206748d.xml
2025-12-04T10:00:55.9144848Z Running test_complex 1/1 ... [2025-12-04 10:00:55.914166][2915.613453393]
2025-12-04T10:00:55.9145310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:55.9147765Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:55.914506]
2025-12-04T10:00:59.6902926Z 
2025-12-04T10:00:59.6903818Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_b110873bccdb46d1_.log
2025-12-04T10:00:59.6904594Z Running 0 items in this shard:
2025-12-04T10:00:59.6904792Z 
2025-12-04T10:00:59.6905057Z Finished test_complex 1/1 ... [2025-12-04 10:00:59.690084][2919.389370892], took 0.06min
2025-12-04T10:00:59.7114479Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-e6c307e62bd7deda.xml
2025-12-04T10:00:59.7379880Z Running functorch/test_ac 1/1 ... [2025-12-04 10:00:59.737713][2919.436998648]
2025-12-04T10:00:59.7380374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:59.7383911Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:59.738103]
2025-12-04T10:01:07.7987220Z 
2025-12-04T10:01:07.7988993Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_cbe912f3012bd4d1_.log
2025-12-04T10:01:07.7990146Z 
2025-12-04T10:01:07.7990633Z Finished functorch/test_ac 1/1 ... [2025-12-04 10:01:07.798517][2927.497803543], took 0.13min
2025-12-04T10:01:07.8204682Z Running test_numpy_interop 1/1 ... [2025-12-04 10:01:07.820185][2927.519471992]
2025-12-04T10:01:07.8205169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:07.8208781Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:07.820560]
2025-12-04T10:01:11.4257220Z 
2025-12-04T10:01:11.4257994Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_3ee53456a3faaeae_.log
2025-12-04T10:01:11.4258831Z Running 0 items in this shard:
2025-12-04T10:01:11.4259028Z 
2025-12-04T10:01:11.4259306Z Finished test_numpy_interop 1/1 ... [2025-12-04 10:01:11.425518][2931.124804333], took 0.06min
2025-12-04T10:01:11.4471297Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-cfb025ea1835c688.xml
2025-12-04T10:01:11.5039388Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:01:11.503637][2931.202922521]
2025-12-04T10:01:11.5039950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:11.5042947Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:11.503994]
2025-12-04T10:01:15.3801408Z 
2025-12-04T10:01:15.3802442Z 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_962a174ff831a7da_.log
2025-12-04T10:01:15.3803363Z Running 0 items in this shard:
2025-12-04T10:01:15.3803561Z 
2025-12-04T10:01:15.3803920Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:01:15.379931][2935.079217711], took 0.06min
2025-12-04T10:01:15.4015869Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-e353a65ee169f488.xml
2025-12-04T10:01:15.4283349Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:01:15.427976][2935.12726028]
2025-12-04T10:01:15.4283838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:15.4286519Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:15.428350]
2025-12-04T10:01:18.7052953Z 
2025-12-04T10:01:18.7053861Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_8447f128faca15f1_.log
2025-12-04T10:01:18.7054648Z Running 0 items in this shard:
2025-12-04T10:01:18.7054862Z 
2025-12-04T10:01:18.7055147Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:01:18.705094][2938.404380948], took 0.05min
2025-12-04T10:01:18.7267510Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-3bad0877f143fc05.xml
2025-12-04T10:01:18.7576275Z Running test_itt 1/1 ... [2025-12-04 10:01:18.757352][2938.456638953]
2025-12-04T10:01:18.7576697Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:18.7579934Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_itt.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:18.757691]
2025-12-04T10:01:22.0635229Z 
2025-12-04T10:01:22.0636032Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_49a81bccf41527d0_.log
2025-12-04T10:01:22.0636742Z Running 0 items in this shard:
2025-12-04T10:01:22.0636952Z 
2025-12-04T10:01:22.0637197Z Finished test_itt 1/1 ... [2025-12-04 10:01:22.063299][2941.762585641], took 0.06min
2025-12-04T10:01:22.0849122Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-ea4200b80c17a539.xml
2025-12-04T10:01:22.1111039Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:01:22.110678][2941.809962021]
2025-12-04T10:01:22.1111692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:22.1114352Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:22.111138]
2025-12-04T10:01:26.6206318Z 
2025-12-04T10:01:26.6207712Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_0c8ea0951c0bd649_.log
2025-12-04T10:01:26.6208794Z Running 0 items in this shard:
2025-12-04T10:01:26.6209008Z 
2025-12-04T10:01:26.6209399Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:01:26.620348][2946.319635263], took 0.08min
2025-12-04T10:01:26.6418874Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_function_base/torch_np.numpy_tests.lib.test_function_base-809f688933d0c465.xml
2025-12-04T10:01:26.6662499Z Running test_sympy_utils 1/1 ... [2025-12-04 10:01:26.665952][2946.365238841]
2025-12-04T10:01:26.6662975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:26.6665411Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sympy_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:26.666291]
2025-12-04T10:01:30.6668471Z 
2025-12-04T10:01:30.6669374Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_85c1db6989a7ac51_.log
2025-12-04T10:01:30.6670126Z Running 0 items in this shard:
2025-12-04T10:01:30.6670340Z 
2025-12-04T10:01:30.6670617Z Finished test_sympy_utils 1/1 ... [2025-12-04 10:01:30.666643][2950.365930439], took 0.07min
2025-12-04T10:01:30.6884818Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-8bd03759249fbe2c.xml
2025-12-04T10:01:30.7133203Z Running test_subclass 1/1 ... [2025-12-04 10:01:30.713086][2950.412372675]
2025-12-04T10:01:30.7133684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:30.7137161Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_subclass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:30.713437]
2025-12-04T10:01:34.2585319Z 
2025-12-04T10:01:34.2586153Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_aedfa03b62374cad_.log
2025-12-04T10:01:34.2586904Z Running 0 items in this shard:
2025-12-04T10:01:34.2587122Z 
2025-12-04T10:01:34.2587671Z Finished test_subclass 1/1 ... [2025-12-04 10:01:34.258324][2953.957610063], took 0.06min
2025-12-04T10:01:34.2799439Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-c88455197484da23.xml
2025-12-04T10:01:34.3051862Z Running test_import_stats 1/1 ... [2025-12-04 10:01:34.304923][2954.004209664]
2025-12-04T10:01:34.3052355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:34.3055645Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_import_stats.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:34.305288]
2025-12-04T10:01:37.5921490Z 
2025-12-04T10:01:37.5922329Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_5997395706ca1e5c_.log
2025-12-04T10:01:37.5923746Z Running 0 items in this shard:
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2025-12-04T10:01:37.5924309Z Finished test_import_stats 1/1 ... [2025-12-04 10:01:37.591959][2957.29124649], took 0.05min
2025-12-04T10:01:37.6143059Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-3a80d3d90c2c3547.xml
2025-12-04T10:01:37.6409622Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:01:37.640678][2957.339964435]
2025-12-04T10:01:37.6410198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:37.6413972Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:37.641084]
2025-12-04T10:01:44.2676656Z 
2025-12-04T10:01:44.2677996Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_dd1bbde6ca77cd63_.log
2025-12-04T10:01:44.2678944Z Running 0 items in this shard:
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2025-12-04T10:01:44.2679509Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:01:44.267429][2963.966715711], took 0.11min
2025-12-04T10:01:44.2897652Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-2f4c6788b5450ecc.xml
2025-12-04T10:01:44.3620591Z Running nn/test_parametrization 1/1 ... [2025-12-04 10:01:44.361634][2964.060918923]
2025-12-04T10:01:44.3621342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:44.3623165Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_parametrization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:44.362025]
2025-12-04T10:01:48.1340836Z 
2025-12-04T10:01:48.1341791Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_dec7c8ec7dd22b74_.log
2025-12-04T10:01:48.1342644Z Running 0 items in this shard:
2025-12-04T10:01:48.1342838Z 
2025-12-04T10:01:48.1343160Z Finished nn/test_parametrization 1/1 ... [2025-12-04 10:01:48.133888][2967.833175558], took 0.06min
2025-12-04T10:01:48.1563899Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-f0b16a0213f43663.xml
2025-12-04T10:01:48.1830634Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 10:01:48.182802][2967.882090024]
2025-12-04T10:01:48.1831129Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:48.1834820Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:48.183140]
2025-12-04T10:01:51.5336762Z 
2025-12-04T10:01:51.5337847Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_7c9b3c9063e1a090_.log
2025-12-04T10:01:51.5338633Z Running 0 items in this shard:
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2025-12-04T10:01:51.5339202Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 10:01:51.533446][2971.232733812], took 0.06min
2025-12-04T10:01:51.5566501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-38f23f4af659dfbe.xml
2025-12-04T10:01:51.5818027Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:01:51.581533][2971.280818679]
2025-12-04T10:01:51.5818547Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:51.5821828Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:51.581887]
2025-12-04T10:01:56.3753398Z 
2025-12-04T10:01:56.3754294Z 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_a6fc78e12db5e33d_.log
2025-12-04T10:01:56.3755093Z Running 0 items in this shard:
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2025-12-04T10:01:56.3755575Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:01:56.375095][2976.074382549], took 0.08min
2025-12-04T10:01:56.3815447Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-bf373a62b632f23b.xml
2025-12-04T10:01:56.4217323Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:01:56.421444][2976.120730508]
2025-12-04T10:01:56.4217840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:56.4220920Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:56.421802]
2025-12-04T10:02:00.8242607Z 
2025-12-04T10:02:00.8243501Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_602d9bf3c38e4e57_.log
2025-12-04T10:02:00.8244285Z Running 0 items in this shard:
2025-12-04T10:02:00.8244501Z 
2025-12-04T10:02:00.8244785Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:02:00.823993][2980.523280038], took 0.07min
2025-12-04T10:02:00.8469661Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-0003ca368ac09bae.xml
2025-12-04T10:02:00.8746638Z Running complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:02:00.874324][2980.573609103]
2025-12-04T10:02:00.8747180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:00.8749611Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:00.874706]
2025-12-04T10:02:05.6101102Z 
2025-12-04T10:02:05.6102148Z complex_tensor/test_complex_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.1_29844f590c1900d4_.log
2025-12-04T10:02:05.6103094Z Running 0 items in this shard:
2025-12-04T10:02:05.6103298Z 
2025-12-04T10:02:05.6103970Z Finished complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:02:05.609926][2985.309213369], took 0.08min
2025-12-04T10:02:05.6328353Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-8629895ee0d23a76.xml
2025-12-04T10:02:05.6560355Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:02:05.655767][2985.355053721]
2025-12-04T10:02:05.6560847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:05.6563756Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:05.656117]
2025-12-04T10:02:08.8296660Z 
2025-12-04T10:02:08.8301252Z 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_07bf6fe88d118fcc_.log
2025-12-04T10:02:08.8301990Z 
2025-12-04T10:02:08.8302293Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:02:08.829418][2988.528704017], took 0.05min
2025-12-04T10:02:08.8535792Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:02:08.853197][2988.552481683]
2025-12-04T10:02:08.8536385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:08.8538944Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:08.853616]
2025-12-04T10:02:12.2790068Z 
2025-12-04T10:02:12.2791148Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_7d95fdf583c15e3b_.log
2025-12-04T10:02:12.2792439Z Running 0 items in this shard:
2025-12-04T10:02:12.2792659Z 
2025-12-04T10:02:12.2793042Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:02:12.278798][2991.978084174], took 0.06min
2025-12-04T10:02:12.3022726Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_histograms/torch_np.numpy_tests.lib.test_histograms-375d80238b09dce3.xml
2025-12-04T10:02:12.8489583Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:02:12.848530][2992.547814551]
2025-12-04T10:02:12.8490113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:12.8492583Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:12.848929]
2025-12-04T10:02:16.1769839Z 
2025-12-04T10:02:16.1770807Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_71945c25bfc724a1_.log
2025-12-04T10:02:16.1771642Z Running 0 items in this shard:
2025-12-04T10:02:16.1771862Z 
2025-12-04T10:02:16.1772158Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:02:16.176763][2995.876050862], took 0.06min
2025-12-04T10:02:16.2000319Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-fa0e27b43c2e5084.xml
2025-12-04T10:02:16.2273700Z Running test_schema_check 1/1 ... [2025-12-04 10:02:16.227082][2995.926367356]
2025-12-04T10:02:16.2274189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:16.2277447Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_schema_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:16.227438]
2025-12-04T10:02:21.0069690Z 
2025-12-04T10:02:21.0070559Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_9b7aec3f1ba4afc5_.log
2025-12-04T10:02:21.0071338Z Running 0 items in this shard:
2025-12-04T10:02:21.0071540Z 
2025-12-04T10:02:21.0071833Z Finished test_schema_check 1/1 ... [2025-12-04 10:02:21.006730][3000.706017115], took 0.08min
2025-12-04T10:02:21.0300374Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-e999fbd17e96862d.xml
2025-12-04T10:02:21.0593392Z Running test_tensorboard 1/1 ... [2025-12-04 10:02:21.059049][3000.758333376]
2025-12-04T10:02:21.0593870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:21.0596995Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorboard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:21.059438]
2025-12-04T10:02:24.8377550Z 
2025-12-04T10:02:24.8378460Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_0128486c86ec4155_.log
2025-12-04T10:02:24.8379229Z Running 0 items in this shard:
2025-12-04T10:02:24.8379443Z 
2025-12-04T10:02:24.8379713Z Finished test_tensorboard 1/1 ... [2025-12-04 10:02:24.837473][3004.536759893], took 0.06min
2025-12-04T10:02:24.8607654Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorboard/test_tensorboard-e2a9bf487666abad.xml
2025-12-04T10:02:24.8868518Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:02:24.886502][3004.585786558]
2025-12-04T10:02:24.8869095Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:24.8872057Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:24.886886]
2025-12-04T10:02:28.3320417Z 
2025-12-04T10:02:28.3321529Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_bd35670c1b4328c4_.log
2025-12-04T10:02:28.3322503Z Running 0 items in this shard:
2025-12-04T10:02:28.3322715Z 
2025-12-04T10:02:28.3323098Z Finished torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:02:28.331843][3008.031129808], took 0.06min
2025-12-04T10:02:28.3550685Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_indexing/torch_np.numpy_tests.core.test_indexing-261e133f93ad7c13.xml
2025-12-04T10:02:28.3806648Z Running test_futures 1/1 ... [2025-12-04 10:02:28.380322][3008.079607352]
2025-12-04T10:02:28.3807415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:28.3809577Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_futures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:28.380685]
2025-12-04T10:02:31.7165376Z 
2025-12-04T10:02:31.7166495Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_d0dcb882c50538ba_.log
2025-12-04T10:02:31.7167240Z Running 0 items in this shard:
2025-12-04T10:02:31.7167440Z 
2025-12-04T10:02:31.7167690Z Finished test_futures 1/1 ... [2025-12-04 10:02:31.716314][3011.415600451], took 0.06min
2025-12-04T10:02:31.7400003Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_futures/test_futures-a5afa0daa2ba85d2.xml
2025-12-04T10:02:31.7678225Z Running nn/test_dropout 1/1 ... [2025-12-04 10:02:31.767574][3011.466861944]
2025-12-04T10:02:31.7678936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:31.7682523Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:31.767926]
2025-12-04T10:02:35.4275309Z 
2025-12-04T10:02:35.4276456Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_0c6a28f93e3bba0e_.log
2025-12-04T10:02:35.4277215Z Running 0 items in this shard:
2025-12-04T10:02:35.4277412Z 
2025-12-04T10:02:35.4511823Z Finished nn/test_dropout 1/1 ... [2025-12-04 10:02:35.427349][3015.12663499], took 0.06min
2025-12-04T10:02:35.4512877Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-bf15de7391640286.xml
2025-12-04T10:02:35.4775941Z Running functorch/dim/test_split 1/1 ... [2025-12-04 10:02:35.477253][3015.176538658]
2025-12-04T10:02:35.4776644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:35.4780028Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_split.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:35.477645]
2025-12-04T10:02:38.8128500Z 
2025-12-04T10:02:38.8129446Z functorch/dim/test_split 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_split_1.1_bbeed31e2687fb14_.log
2025-12-04T10:02:38.8130595Z Running 0 items in this shard:
2025-12-04T10:02:38.8130793Z 
2025-12-04T10:02:38.8131119Z Finished functorch/dim/test_split 1/1 ... [2025-12-04 10:02:38.812614][3018.511900369], took 0.06min
2025-12-04T10:02:38.8370593Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_split/functorch.dim.test_split-3dea1007ebde7492.xml
2025-12-04T10:02:38.8634764Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:02:38.863095][3018.562379445]
2025-12-04T10:02:38.8635378Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:38.8638062Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:38.863505]
2025-12-04T10:02:42.2818919Z 
2025-12-04T10:02:42.2820482Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_85b8e456a367c7e1_.log
2025-12-04T10:02:42.2821482Z Running 0 items in this shard:
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2025-12-04T10:02:42.2822069Z Finished torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:02:42.281681][3021.980966474], took 0.06min
2025-12-04T10:02:42.3065440Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_type_check/torch_np.numpy_tests.lib.test_type_check-0625f3b09413474d.xml
2025-12-04T10:02:42.3319520Z Running cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:02:42.331671][3022.030956895]
2025-12-04T10:02:42.3320212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:42.3323712Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/test_libtorch_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:42.332040]
2025-12-04T10:02:45.9590804Z 
2025-12-04T10:02:45.9592078Z 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_fd7e9d38477e3e6b_.log
2025-12-04T10:02:45.9593065Z Running 0 items in this shard:
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2025-12-04T10:02:45.9593642Z Finished cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:02:45.958883][3025.658170547], took 0.06min
2025-12-04T10:02:45.9833765Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.test_libtorch_agnostic/cpp_extensions.test_libtorch_agnostic-127fd036eabac93c.xml
2025-12-04T10:02:46.0094743Z Running test_jit 1/1 ... [2025-12-04 10:02:46.009218][3025.708504464]
2025-12-04T10:02:46.0095409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:46.0098680Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:46.009576]
2025-12-04T10:02:56.1841680Z 
2025-12-04T10:02:56.1842779Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_1f38c35f6487aa7c_.log
2025-12-04T10:02:56.1843485Z Running 0 items in this shard:
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2025-12-04T10:02:56.1843927Z Finished test_jit 1/1 ... [2025-12-04 10:02:56.183890][3035.883177177], took 0.17min
2025-12-04T10:02:56.2084640Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit/test_jit-8bdb68840527dd96.xml
2025-12-04T10:02:56.2868508Z Running test_datapipe 1/1 ... [2025-12-04 10:02:56.286548][3035.985833518]
2025-12-04T10:02:56.2869437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:56.2872443Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_datapipe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:56.286920]
2025-12-04T10:02:59.8230974Z 
2025-12-04T10:02:59.8232106Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_9bddbd65a98329cb_.log
2025-12-04T10:02:59.8232859Z Running 0 items in this shard:
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2025-12-04T10:02:59.8233333Z Finished test_datapipe 1/1 ... [2025-12-04 10:02:59.822891][3039.522177817], took 0.06min
2025-12-04T10:02:59.8476751Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_datapipe/test_datapipe-770c0173bdcc37d7.xml
2025-12-04T10:02:59.8729008Z Running test_numba_integration 1/1 ... [2025-12-04 10:02:59.872584][3039.57186813]
2025-12-04T10:02:59.8729653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:59.8732810Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numba_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:59.872982]
2025-12-04T10:03:03.5177601Z 
2025-12-04T10:03:03.5178777Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_b6b6612396aade2e_.log
2025-12-04T10:03:03.5179610Z Running 0 items in this shard:
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2025-12-04T10:03:03.5180112Z Finished test_numba_integration 1/1 ... [2025-12-04 10:03:03.517559][3043.216845419], took 0.06min
2025-12-04T10:03:03.5427253Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numba_integration/test_numba_integration-c416207bdcd12f22.xml
2025-12-04T10:03:03.5681887Z Running test_functional_optim 1/1 ... [2025-12-04 10:03:03.567934][3043.26722137]
2025-12-04T10:03:03.5682545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:03.5685885Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:03.568282]
2025-12-04T10:03:07.1228031Z 
2025-12-04T10:03:07.1229300Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_14cf5fd2b94db293_.log
2025-12-04T10:03:07.1230134Z Running 0 items in this shard:
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2025-12-04T10:03:07.1230686Z Finished test_functional_optim 1/1 ... [2025-12-04 10:03:07.122607][3046.82189355], took 0.06min
2025-12-04T10:03:07.1476718Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_optim/test_functional_optim-9dd95603b04ce7de.xml
2025-12-04T10:03:07.1755724Z Running test_maskedtensor 1/1 ... [2025-12-04 10:03:07.175262][3046.874546712]
2025-12-04T10:03:07.1756422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:07.1759888Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:07.175657]
2025-12-04T10:03:12.2818871Z 
2025-12-04T10:03:12.2820052Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_cce76cf623b3561a_.log
2025-12-04T10:03:12.2821175Z Running 0 items in this shard:
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2025-12-04T10:03:12.2821671Z Finished test_maskedtensor 1/1 ... [2025-12-04 10:03:12.281661][3051.980947402], took 0.09min
2025-12-04T10:03:12.3068353Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-f6e5a944fb9ca268.xml
2025-12-04T10:03:12.3345147Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:03:12.334229][3052.033516536]
2025-12-04T10:03:12.3345870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:12.3349319Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:12.334594]
2025-12-04T10:03:15.6812851Z 
2025-12-04T10:03:15.6814218Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_34b86097b517be88_.log
2025-12-04T10:03:15.6815188Z Running 0 items in this shard:
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2025-12-04T10:03:15.6815773Z Finished benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:03:15.681053][3055.380340407], took 0.06min
2025-12-04T10:03:15.7064378Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-2889fa8ff3b2e9a6.xml
2025-12-04T10:03:15.7367158Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:03:15.736342][3055.435626117]
2025-12-04T10:03:15.7368007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:15.7371194Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:15.736734]
2025-12-04T10:03:19.4895251Z 
2025-12-04T10:03:19.4896628Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_bc7fdb1f3f21f2a3_.log
2025-12-04T10:03:19.4897639Z Running 0 items in this shard:
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2025-12-04T10:03:19.4898240Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:03:19.489269][3059.188555411], took 0.06min
2025-12-04T10:03:19.5148463Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarmath/torch_np.numpy_tests.core.test_scalarmath-8f45a19354154f02.xml
2025-12-04T10:03:19.5447080Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:03:19.544418][3059.243704525]
2025-12-04T10:03:19.5447814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:19.5451438Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scaled_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:19.544783]
2025-12-04T10:03:23.2436277Z 
2025-12-04T10:03:23.2437165Z test_scaled_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scaled_matmul_cuda_1.1_1efc81061f73a8c1_.log
2025-12-04T10:03:23.2437996Z Running 0 items in this shard:
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2025-12-04T10:03:23.2438491Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:03:23.243413][3062.942700483], took 0.06min
2025-12-04T10:03:23.2688782Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-5ad6fde2cbdabad1.xml
2025-12-04T10:03:23.3011929Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:03:23.300882][3063.000167974]
2025-12-04T10:03:23.3012530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:23.3015780Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:23.301256]
2025-12-04T10:03:26.9382687Z 
2025-12-04T10:03:26.9383772Z 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_61a45eef36efd733_.log
2025-12-04T10:03:26.9384767Z Running 0 items in this shard:
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2025-12-04T10:03:26.9385362Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:03:26.938047][3066.637334176], took 0.06min
2025-12-04T10:03:26.9639210Z 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-35c446944b49dadc.xml
2025-12-04T10:03:26.9938682Z Running test_vulkan 1/1 ... [2025-12-04 10:03:26.993563][3066.692846776]
2025-12-04T10:03:26.9939154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:26.9942444Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_vulkan.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:26.993959]
2025-12-04T10:03:30.3211424Z 
2025-12-04T10:03:30.3212236Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_169c8db170b30744_.log
2025-12-04T10:03:30.3212988Z Running 0 items in this shard:
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2025-12-04T10:03:30.3213715Z Finished test_vulkan 1/1 ... [2025-12-04 10:03:30.320952][3070.020238321], took 0.06min
2025-12-04T10:03:30.3466806Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-acfebbb2140b6e30.xml
2025-12-04T10:03:30.3731530Z Running lazy/test_generator 1/1 ... [2025-12-04 10:03:30.372775][3070.0720609]
2025-12-04T10:03:30.3732028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:30.3734902Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:30.373167]
2025-12-04T10:03:33.7036915Z 
2025-12-04T10:03:33.7037926Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_4ad23dd1e2afdfa8_.log
2025-12-04T10:03:33.7038951Z Running 0 items in this shard:
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2025-12-04T10:03:33.7039448Z Finished lazy/test_generator 1/1 ... [2025-12-04 10:03:33.703520][3073.402806956], took 0.06min
2025-12-04T10:03:33.7291779Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-5efe9abf0f126f3f.xml
2025-12-04T10:03:33.7566530Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:03:33.756391][3073.455677467]
2025-12-04T10:03:33.7567131Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:33.7570962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:33.756756]
2025-12-04T10:03:37.7064329Z 
2025-12-04T10:03:37.7065432Z 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_77518c781e30e849_.log
2025-12-04T10:03:37.7066427Z Running 0 items in this shard:
2025-12-04T10:03:37.7066627Z 
2025-12-04T10:03:37.7067013Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:03:37.706182][3077.40546946], took 0.07min
2025-12-04T10:03:37.7326274Z 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-c0c5dfd6645abbc2.xml
2025-12-04T10:03:37.7646233Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:03:37.764305][3077.463589477]
2025-12-04T10:03:37.7646795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:37.7650151Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:37.764706]
2025-12-04T10:03:41.2788597Z 
2025-12-04T10:03:41.2789741Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_0f346817d4389e42_.log
2025-12-04T10:03:41.2790809Z Running 0 items in this shard:
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2025-12-04T10:03:41.2791484Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:03:41.278658][3080.977944956], took 0.06min
2025-12-04T10:03:41.3050973Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dtype/torch_np.numpy_tests.core.test_dtype-219891d7203b2d64.xml
2025-12-04T10:03:41.3398601Z Running lazy/test_debug_util 1/1 ... [2025-12-04 10:03:41.339532][3081.038816587]
2025-12-04T10:03:41.3399436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:41.3401943Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:41.339918]
2025-12-04T10:03:44.6329019Z 
2025-12-04T10:03:44.6329898Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_b11bdb44a3c2acef_.log
2025-12-04T10:03:44.6330710Z Running 0 items in this shard:
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2025-12-04T10:03:44.6331201Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 10:03:44.632680][3084.331966485], took 0.05min
2025-12-04T10:03:44.6590222Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-bcd9e2bb83569c36.xml
2025-12-04T10:03:44.6930569Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 10:03:44.692751][3084.392035968]
2025-12-04T10:03:44.6931071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:44.6934526Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:44.693158]
2025-12-04T10:03:48.4067661Z 
2025-12-04T10:03:48.4068603Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_b9a276db56e51b70_.log
2025-12-04T10:03:48.4069438Z Running 0 items in this shard:
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2025-12-04T10:03:48.4069956Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 10:03:48.406488][3088.105774603], took 0.06min
2025-12-04T10:03:48.4326737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-a417d8ec06b16f37.xml
2025-12-04T10:03:48.4602296Z Running nn/test_module_hooks 1/1 ... [2025-12-04 10:03:48.459958][3088.159244638]
2025-12-04T10:03:48.4602790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:48.4605726Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:48.460312]
2025-12-04T10:03:52.2068733Z 
2025-12-04T10:03:52.2069586Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_5403e31d0ca55a6b_.log
2025-12-04T10:03:52.2070425Z Running 0 items in this shard:
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2025-12-04T10:03:52.2070918Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 10:03:52.206621][3091.905906932], took 0.06min
2025-12-04T10:03:52.2330992Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-641dbc43d4d9dea0.xml
2025-12-04T10:03:52.2628764Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:03:52.262575][3091.961861071]
2025-12-04T10:03:52.2629349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:52.2632238Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:52.262943]
2025-12-04T10:03:55.6737232Z 
2025-12-04T10:03:55.6738744Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_3160e4bedad545e6_.log
2025-12-04T10:03:55.6739780Z Running 0 items in this shard:
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2025-12-04T10:03:55.6740364Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:03:55.673537][3095.372825611], took 0.06min
2025-12-04T10:03:55.7002923Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_twodim_base/torch_np.numpy_tests.lib.test_twodim_base-168392a7f8d512a6.xml
2025-12-04T10:03:55.7325398Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 10:03:55.732285][3095.431571704]
2025-12-04T10:03:55.7325940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:55.7329358Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:55.732646]
2025-12-04T10:03:59.4338458Z 
2025-12-04T10:03:59.4339422Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_b82befa20c33be06_.log
2025-12-04T10:03:59.4340340Z Running 0 items in this shard:
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2025-12-04T10:03:59.4340885Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 10:03:59.433616][3099.132902787], took 0.06min
2025-12-04T10:03:59.4605117Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-60965692e8537dde.xml
2025-12-04T10:03:59.4893219Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 10:03:59.489036][3099.188322814]
2025-12-04T10:03:59.4893704Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:59.4896593Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:59.489402]
2025-12-04T10:04:03.4064354Z 
2025-12-04T10:04:03.4065275Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_cb3f42e5a4084362_.log
2025-12-04T10:04:03.4066055Z Running 0 items in this shard:
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2025-12-04T10:04:03.4066554Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 10:04:03.406252][3103.105539711], took 0.07min
2025-12-04T10:04:03.4332292Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-99bb0d119d79ec42.xml
2025-12-04T10:04:03.4648991Z Running test_serialization 1/1 ... [2025-12-04 10:04:03.464671][3103.163957367]
2025-12-04T10:04:03.4649515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:03.4653038Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:03.465034]
2025-12-04T10:04:07.7326524Z 
2025-12-04T10:04:07.7327433Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_477be49fa70a016a_.log
2025-12-04T10:04:07.7328296Z Running 0 items in this shard:
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2025-12-04T10:04:07.7328794Z Finished test_serialization 1/1 ... [2025-12-04 10:04:07.732449][3107.431735303], took 0.07min
2025-12-04T10:04:07.7597939Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-84c4da1a18876f0e.xml
2025-12-04T10:04:07.7857548Z Running optim/test_optim 1/1 ... [2025-12-04 10:04:07.785472][3107.484756731]
2025-12-04T10:04:07.7858041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:07.7861001Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:07.785821]
2025-12-04T10:04:10.9928032Z 
2025-12-04T10:04:10.9929021Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_c3990eaa5b610c58_.log
2025-12-04T10:04:10.9929679Z 
2025-12-04T10:04:10.9929970Z Finished optim/test_optim 1/1 ... [2025-12-04 10:04:10.992611][3110.691899207], took 0.05min
2025-12-04T10:04:11.0204787Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:04:11.020187][3110.719475733]
2025-12-04T10:04:11.0205409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:11.0208434Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:11.020550]
2025-12-04T10:04:14.4877579Z 
2025-12-04T10:04:14.4878678Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_fe5c8c26ad03e2f7_.log
2025-12-04T10:04:14.4879676Z Running 0 items in this shard:
2025-12-04T10:04:14.4879876Z 
2025-12-04T10:04:14.4880270Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:04:14.487592][3114.186878364], took 0.06min
2025-12-04T10:04:14.5155795Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_pocketfft/torch_np.numpy_tests.fft.test_pocketfft-4ba7751b80ad8128.xml
2025-12-04T10:04:14.6005458Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:04:14.600218][3114.29950306]
2025-12-04T10:04:14.6006052Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:14.6009395Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:14.600604]
2025-12-04T10:04:18.0758170Z 
2025-12-04T10:04:18.0759244Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_f453c2719842d742_.log
2025-12-04T10:04:18.0760275Z Running 0 items in this shard:
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2025-12-04T10:04:18.0760873Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:04:18.075642][3117.774929114], took 0.06min
2025-12-04T10:04:18.1029115Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_shape_base_/torch_np.numpy_tests.lib.test_shape_base_-17a55d35e67ce604.xml
2025-12-04T10:04:18.1463119Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:04:18.145972][3117.84525716]
2025-12-04T10:04:18.1463706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:18.1466474Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:18.146333]
2025-12-04T10:04:21.5338438Z 
2025-12-04T10:04:21.5339857Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_d8a1fc3199dc6534_.log
2025-12-04T10:04:21.5340882Z Running 0 items in this shard:
2025-12-04T10:04:21.5341093Z 
2025-12-04T10:04:21.5341467Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:04:21.533642][3121.2329285], took 0.06min
2025-12-04T10:04:21.5613086Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_getlimits/torch_np.numpy_tests.core.test_getlimits-0e83b2d9a0f783c4.xml
2025-12-04T10:04:21.5978080Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:04:21.597544][3121.296829494]
2025-12-04T10:04:21.5978612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:21.5981812Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:21.597930]
2025-12-04T10:04:25.5887840Z 
2025-12-04T10:04:25.5888926Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_b2ed7a0b4519b949_.log
2025-12-04T10:04:25.5889812Z Running 0 items in this shard:
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2025-12-04T10:04:25.5890353Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:04:25.588522][3125.287809709], took 0.07min
2025-12-04T10:04:25.6165270Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-64f59b57b636a498.xml
2025-12-04T10:04:25.6433045Z Running test_view_ops 1/1 ... [2025-12-04 10:04:25.643072][3125.342359004]
2025-12-04T10:04:25.6433792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:25.6436923Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:25.643421]
2025-12-04T10:04:29.3326628Z 
2025-12-04T10:04:29.3327473Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_1108a14f616d4348_.log
2025-12-04T10:04:29.3328277Z Running 0 items in this shard:
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2025-12-04T10:04:29.3328741Z Finished test_view_ops 1/1 ... [2025-12-04 10:04:29.332459][3129.031745546], took 0.06min
2025-12-04T10:04:29.3604538Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-0e707dd461e357fb.xml
2025-12-04T10:04:29.3865681Z Running test_type_info 1/1 ... [2025-12-04 10:04:29.386334][3129.085620076]
2025-12-04T10:04:29.3866197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:29.3870407Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:29.386759]
2025-12-04T10:04:32.7213996Z 
2025-12-04T10:04:32.7214888Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_0aed6f06cfe79620_.log
2025-12-04T10:04:32.7215654Z Running 0 items in this shard:
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2025-12-04T10:04:32.7216122Z Finished test_type_info 1/1 ... [2025-12-04 10:04:32.721133][3132.420420087], took 0.06min
2025-12-04T10:04:32.7490307Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-95ce0f31b29638e1.xml
2025-12-04T10:04:32.7864286Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 10:04:32.786164][3132.485449676]
2025-12-04T10:04:32.7864823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:32.7868215Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:32.786525]
2025-12-04T10:04:39.3943498Z 
2025-12-04T10:04:39.3944624Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_122e76b950bd5f19_.log
2025-12-04T10:04:39.3945521Z Running 0 items in this shard:
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2025-12-04T10:04:39.3946064Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 10:04:39.394140][3139.093428154], took 0.11min
2025-12-04T10:04:39.4223841Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-697737926c06207e.xml
2025-12-04T10:04:39.4962045Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 10:04:39.495901][3139.195187339]
2025-12-04T10:04:39.4962624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:39.4965945Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:39.496288]
2025-12-04T10:04:42.9230212Z 
2025-12-04T10:04:42.9231277Z 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_76f9414bdd9d4341_.log
2025-12-04T10:04:42.9232605Z Running 0 items in this shard:
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2025-12-04T10:04:42.9233193Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 10:04:42.922806][3142.622094066], took 0.06min
2025-12-04T10:04:42.9512608Z 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-33040f436b79378a.xml
2025-12-04T10:04:42.9722785Z Running test_cuda_multigpu 1/1 ... [2025-12-04 10:04:42.972008][3142.671294592]
2025-12-04T10:04:42.9723288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:42.9726066Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:42.972360]
2025-12-04T10:04:46.6313715Z 
2025-12-04T10:04:46.6314647Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_55c6642e5083134a_.log
2025-12-04T10:04:46.6315441Z Running 0 items in this shard:
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2025-12-04T10:04:46.6315937Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 10:04:46.631123][3146.330409966], took 0.06min
2025-12-04T10:04:46.6594009Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-b2f93332ab303a6e.xml
2025-12-04T10:04:46.6849433Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 10:04:46.684653][3146.383938489]
2025-12-04T10:04:46.6850019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:46.6853238Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:46.685026]
2025-12-04T10:04:50.1022937Z 
2025-12-04T10:04:50.1024140Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_dfcc1a9cf4f403b8_.log
2025-12-04T10:04:50.1025161Z Running 0 items in this shard:
2025-12-04T10:04:50.1025362Z 
2025-12-04T10:04:50.1025768Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 10:04:50.102030][3149.801317867], took 0.06min
2025-12-04T10:04:50.1303796Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_index_tricks/torch_np.numpy_tests.lib.test_index_tricks-2ca5944e959e1ecb.xml
2025-12-04T10:04:50.1562177Z Running test_jit_autocast 1/1 ... [2025-12-04 10:04:50.155974][3149.855260146]
2025-12-04T10:04:50.1562665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:50.1566141Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:50.156347]
2025-12-04T10:04:55.5662727Z 
2025-12-04T10:04:55.5663652Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_76601ca0724c0a2a_.log
2025-12-04T10:04:55.5664407Z Running 0 items in this shard:
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2025-12-04T10:04:55.5664908Z Finished test_jit_autocast 1/1 ... [2025-12-04 10:04:55.566087][3155.265373742], took 0.09min
2025-12-04T10:04:55.5950401Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-0a7a0af7612ea96b.xml
2025-12-04T10:04:55.6234338Z Running nn/test_embedding 1/1 ... [2025-12-04 10:04:55.623079][3155.32236509]
2025-12-04T10:04:55.6235227Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:55.6237302Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:55.623445]
2025-12-04T10:04:59.3497540Z 
2025-12-04T10:04:59.3498411Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_f2357dd4072abc91_.log
2025-12-04T10:04:59.3499198Z Running 0 items in this shard:
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2025-12-04T10:04:59.3499693Z Finished nn/test_embedding 1/1 ... [2025-12-04 10:04:59.349540][3159.048826981], took 0.06min
2025-12-04T10:04:59.3784910Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-95a79b8995ca472e.xml
2025-12-04T10:04:59.4074540Z Running test_unary_ufuncs 1/1 ... [2025-12-04 10:04:59.407164][3159.106451095]
2025-12-04T10:04:59.4076861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:59.4078177Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:59.407509]
2025-12-04T10:05:04.1353681Z 
2025-12-04T10:05:04.1354564Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_fca61706dbb494f9_.log
2025-12-04T10:05:04.1355331Z Running 0 items in this shard:
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2025-12-04T10:05:04.1355823Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 10:05:04.135186][3163.834473272], took 0.08min
2025-12-04T10:05:04.1643258Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-82e96b9923991843.xml
2025-12-04T10:05:04.1942128Z Running test_xnnpack_integration 1/1 ... [2025-12-04 10:05:04.193833][3163.893117513]
2025-12-04T10:05:04.1942667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:04.1945533Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:04.194264]
2025-12-04T10:05:07.5830140Z 
2025-12-04T10:05:07.5831114Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_8c0cdb7cb7a79011_.log
2025-12-04T10:05:07.5831968Z Running 0 items in this shard:
2025-12-04T10:05:07.5832184Z 
2025-12-04T10:05:07.5832529Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 10:05:07.582819][3167.28210547], took 0.06min
2025-12-04T10:05:07.6122184Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-26d0e9e52757a638.xml
2025-12-04T10:05:07.6457650Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:05:07.645398][3167.344683095]
2025-12-04T10:05:07.6458251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:07.6460897Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:07.645794]
2025-12-04T10:05:11.0387326Z 
2025-12-04T10:05:11.0388206Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_01942eaa335c7dc4_.log
2025-12-04T10:05:11.0389405Z Running 0 items in this shard:
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2025-12-04T10:05:11.0390015Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:05:11.038559][3170.737847047], took 0.06min
2025-12-04T10:05:11.0682844Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-ce9fd92fd1a6ecc3.xml
2025-12-04T10:05:11.0941654Z Running test_function_schema 1/1 ... [2025-12-04 10:05:11.093848][3170.793134126]
2025-12-04T10:05:11.0942140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:11.0944977Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:11.094208]
2025-12-04T10:05:14.4364894Z 
2025-12-04T10:05:14.4366423Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_4591c2519968d27f_.log
2025-12-04T10:05:14.4367216Z Running 0 items in this shard:
2025-12-04T10:05:14.4367429Z 
2025-12-04T10:05:14.4367726Z Finished test_function_schema 1/1 ... [2025-12-04 10:05:14.436278][3174.13556377], took 0.06min
2025-12-04T10:05:14.4660627Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-776e00cf6df714b5.xml
2025-12-04T10:05:14.4899915Z Running nn/test_init 1/1 ... [2025-12-04 10:05:14.489633][3174.188917747]
2025-12-04T10:05:14.4900406Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:14.4903220Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:14.490022]
2025-12-04T10:05:18.2859903Z 
2025-12-04T10:05:18.2860729Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_3babb2146587320f_.log
2025-12-04T10:05:18.2861470Z Running 0 items in this shard:
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2025-12-04T10:05:18.2861930Z Finished nn/test_init 1/1 ... [2025-12-04 10:05:18.285727][3177.985014437], took 0.06min
2025-12-04T10:05:18.3153501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-8c253550e1d94290.xml
2025-12-04T10:05:18.3396841Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:05:18.339405][3178.038690911]
2025-12-04T10:05:18.3397453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:18.3400524Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:18.339777]
2025-12-04T10:05:21.8021354Z 
2025-12-04T10:05:21.8022744Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_edefcb4b3d35ce33_.log
2025-12-04T10:05:21.8023776Z Running 0 items in this shard:
2025-12-04T10:05:21.8023986Z 
2025-12-04T10:05:21.8024389Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:05:21.801939][3181.501226612], took 0.06min
2025-12-04T10:05:21.8317298Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-fd5cb6637eee42ca.xml
2025-12-04T10:05:21.8593251Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:05:21.859018][3181.558304814]
2025-12-04T10:05:21.8593944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:21.8597365Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:21.859391]
2025-12-04T10:05:25.1862612Z 
2025-12-04T10:05:25.1863959Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_0154c6f57076793b_.log
2025-12-04T10:05:25.1864911Z Running 0 items in this shard:
2025-12-04T10:05:25.1865106Z 
2025-12-04T10:05:25.1865501Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:05:25.186072][3184.885359859], took 0.06min
2025-12-04T10:05:25.2157627Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-238dc4a61b32e546.xml
2025-12-04T10:05:25.2419595Z Running torch_np/test_function_base 1/1 ... [2025-12-04 10:05:25.241621][3184.940905835]
2025-12-04T10:05:25.2420276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:25.2423752Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:25.242025]
2025-12-04T10:05:28.5773041Z 
2025-12-04T10:05:28.5774021Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_fc1e2f09a7dc6343_.log
2025-12-04T10:05:28.5775943Z Running 0 items in this shard:
2025-12-04T10:05:28.5776215Z 
2025-12-04T10:05:28.5776535Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 10:05:28.577073][3188.276359771], took 0.06min
2025-12-04T10:05:28.6072888Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-635b8373b485111e.xml
2025-12-04T10:05:28.6333682Z Running test_type_promotion 1/1 ... [2025-12-04 10:05:28.633097][3188.332382399]
2025-12-04T10:05:28.6334168Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:28.6337753Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:28.633488]
2025-12-04T10:05:32.3437018Z 
2025-12-04T10:05:32.3437907Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_dc0d0f0455f64a37_.log
2025-12-04T10:05:32.3438719Z Running 0 items in this shard:
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2025-12-04T10:05:32.3439218Z Finished test_type_promotion 1/1 ... [2025-12-04 10:05:32.343506][3192.042792705], took 0.06min
2025-12-04T10:05:32.3733784Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-5a4911e4d4089e26.xml
2025-12-04T10:05:32.3978564Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:05:32.397603][3192.096889358]
2025-12-04T10:05:32.3979082Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:32.3982539Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:32.397968]
2025-12-04T10:05:35.7545329Z 
2025-12-04T10:05:35.7546464Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_db9b4afd355a7e7b_.log
2025-12-04T10:05:35.7547369Z Running 0 items in this shard:
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2025-12-04T10:05:35.7547921Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:05:35.754328][3195.453614454], took 0.06min
2025-12-04T10:05:35.7854110Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-6ac5deb27c9d4e08.xml
2025-12-04T10:05:35.8072208Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 10:05:35.806876][3195.506160027]
2025-12-04T10:05:35.8072755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:35.8076068Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:35.807299]
2025-12-04T10:05:39.2037998Z 
2025-12-04T10:05:39.2039359Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_178d922c1b26d32d_.log
2025-12-04T10:05:39.2040247Z Running 0 items in this shard:
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2025-12-04T10:05:39.2040782Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 10:05:39.203573][3198.902860385], took 0.06min
2025-12-04T10:05:39.2340002Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-ef9e4c85b7cced7d.xml
2025-12-04T10:05:39.2618973Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:05:39.261541][3198.96082578]
2025-12-04T10:05:39.2619560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:39.2622787Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:39.261929]
2025-12-04T10:05:42.6874556Z 
2025-12-04T10:05:42.6875881Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_ce1fa995e3075e63_.log
2025-12-04T10:05:42.6876887Z Running 0 items in this shard:
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2025-12-04T10:05:42.6877469Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:05:42.687225][3202.386511785], took 0.06min
2025-12-04T10:05:42.7187482Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-dbd9e5da11cb7b73.xml
2025-12-04T10:05:42.7459703Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 10:05:42.745631][3202.444915665]
2025-12-04T10:05:42.7460443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:42.7464028Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:42.746054]
2025-12-04T10:05:46.0876632Z 
2025-12-04T10:05:46.0877887Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_48ed919fd0f7be36_.log
2025-12-04T10:05:46.0879009Z Running 0 items in this shard:
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2025-12-04T10:05:46.0879546Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 10:05:46.087453][3205.786739884], took 0.06min
2025-12-04T10:05:46.1184956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-ed32528a22a349e0.xml
2025-12-04T10:05:46.1441953Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 10:05:46.143855][3205.843140204]
2025-12-04T10:05:46.1442679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:46.1446050Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:46.144274]
2025-12-04T10:05:49.4971887Z 
2025-12-04T10:05:49.4973066Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_e7befdc12997ee58_.log
2025-12-04T10:05:49.4973880Z Running 0 items in this shard:
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2025-12-04T10:05:49.4974370Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 10:05:49.496977][3209.196264019], took 0.06min
2025-12-04T10:05:49.5285042Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-2947b3c0a3a6e666.xml
2025-12-04T10:05:49.5573066Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:05:49.557005][3209.256289037]
2025-12-04T10:05:49.5573790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:49.5577314Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:49.557397]
2025-12-04T10:05:52.8890290Z 
2025-12-04T10:05:52.8891859Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_18ca6d21b62c0411_.log
2025-12-04T10:05:52.8892834Z Running 0 items in this shard:
2025-12-04T10:05:52.8893031Z 
2025-12-04T10:05:52.8893388Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:05:52.888818][3212.588097965], took 0.06min
2025-12-04T10:05:52.9198740Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-10de07b23874910d.xml
2025-12-04T10:05:52.9490405Z Running torch_np/test_reductions 1/1 ... [2025-12-04 10:05:52.948763][3212.648050203]
2025-12-04T10:05:52.9491115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:52.9494913Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:52.949139]
2025-12-04T10:05:58.2435479Z 
2025-12-04T10:05:58.2436706Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_02621d7cd3ea3108_.log
2025-12-04T10:05:58.2437556Z Running 0 items in this shard:
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2025-12-04T10:05:58.2438074Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 10:05:58.243349][3217.942636465], took 0.09min
2025-12-04T10:05:58.2746903Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-66ccb9640141b943.xml
2025-12-04T10:05:58.2961182Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:05:58.295819][3217.995104068]
2025-12-04T10:05:58.2962116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:58.2965273Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:58.296210]
2025-12-04T10:06:01.7236624Z 
2025-12-04T10:06:01.7238019Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_56f353ff153cd054_.log
2025-12-04T10:06:01.7239018Z Running 0 items in this shard:
2025-12-04T10:06:01.7239232Z 
2025-12-04T10:06:01.7239622Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:06:01.723446][3221.422732746], took 0.06min
2025-12-04T10:06:01.7552866Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-10f23822de30e4e1.xml
2025-12-04T10:06:01.7785627Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:06:01.778237][3221.477522396]
2025-12-04T10:06:01.7786254Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:01.7789144Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:01.778609]
2025-12-04T10:06:05.1234283Z 
2025-12-04T10:06:05.1235609Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_ed29671d5fe4fd10_.log
2025-12-04T10:06:05.1236589Z Running 0 items in this shard:
2025-12-04T10:06:05.1236818Z 
2025-12-04T10:06:05.1237476Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:06:05.123227][3224.822514873], took 0.06min
2025-12-04T10:06:05.1549027Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-c8b100574de04d71.xml
2025-12-04T10:06:05.1817071Z Running test_prims 1/1 ... [2025-12-04 10:06:05.181394][3224.880678933]
2025-12-04T10:06:05.1817727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:05.1821445Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:05.181801]
2025-12-04T10:06:09.9298127Z 
2025-12-04T10:06:09.9299268Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_94a01321d40ace3c_.log
2025-12-04T10:06:09.9300003Z Running 0 items in this shard:
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2025-12-04T10:06:09.9300444Z Finished test_prims 1/1 ... [2025-12-04 10:06:09.929597][3229.62888378], took 0.08min
2025-12-04T10:06:09.9614462Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-4a5b9c53425fe7d1.xml
2025-12-04T10:06:09.9905553Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 10:06:09.990286][3229.689572299]
2025-12-04T10:06:09.9906260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:09.9909974Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:09.990658]
2025-12-04T10:06:13.2850288Z 
2025-12-04T10:06:13.2851592Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_114bc2964c0237dd_.log
2025-12-04T10:06:13.2852467Z Running 0 items in this shard:
2025-12-04T10:06:13.2852685Z 
2025-12-04T10:06:13.2853009Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 10:06:13.284843][3232.98412896], took 0.05min
2025-12-04T10:06:13.3166851Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-cd70a2f7178bd5d3.xml
2025-12-04T10:06:13.3457017Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 10:06:13.345360][3233.044646635]
2025-12-04T10:06:13.3457759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:13.3461325Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:13.345734]
2025-12-04T10:06:16.6038471Z 
2025-12-04T10:06:16.6040294Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_a15a531b74020a3d_.log
2025-12-04T10:06:16.6041609Z Running 0 items in this shard:
2025-12-04T10:06:16.6041820Z 
2025-12-04T10:06:16.6042358Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 10:06:16.603645][3236.302932371], took 0.05min
2025-12-04T10:06:16.6359522Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-3eb563bc37623890.xml
2025-12-04T10:06:18.4246479Z W1204 10:06:18.423000 17432 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:18.4414069Z W1204 10:06:18.440000 17434 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:18.4496158Z W1204 10:06:18.449000 17433 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:19.8098842Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 10:06:19.809418][3239.50870389]
2025-12-04T10:06:19.8099464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:19.8102102Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:19.809840]
2025-12-04T10:06:19.8176258Z Running inductor/test_kernel_benchmark 1/1 ... [2025-12-04 10:06:19.817328][3239.51661275]
2025-12-04T10:06:19.8177011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:19.8181214Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:19.817760]
2025-12-04T10:06:19.8194279Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 10:06:19.819148][3239.518433059]
2025-12-04T10:06:19.8195020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:19.8199563Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:19.819591]
2025-12-04T10:06:29.0971992Z 
2025-12-04T10:06:29.0973569Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_44777e073456b79e_.log
2025-12-04T10:06:29.0974387Z 
2025-12-04T10:06:29.0974734Z Finished inductor/test_kernel_benchmark 1/1 ... [2025-12-04 10:06:29.097046][3248.796330717], took 0.15min
2025-12-04T10:06:31.1653806Z 
2025-12-04T10:06:31.1655245Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_2110d03fdc2bd49f_.log
2025-12-04T10:06:31.1656147Z 
2025-12-04T10:06:31.1656480Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 10:06:31.165346][3250.864630303], took 0.19min
2025-12-04T10:06:31.8398545Z W1204 10:06:31.839000 17797 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:33.0359301Z 
2025-12-04T10:06:33.0360896Z 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_1dcaff1c21614251_.log
2025-12-04T10:06:33.0362357Z 
2025-12-04T10:06:33.0362942Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 10:06:33.035816][3252.735102163], took 0.22min
2025-12-04T10:06:33.3200588Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:06:33.319575][3253.018860372]
2025-12-04T10:06:33.3201553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:33.3205330Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:33.320075]
2025-12-04T10:06:33.8063388Z W1204 10:06:33.805000 17830 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:35.2975451Z Running dynamo/test_logging 1/1 ... [2025-12-04 10:06:35.297112][3254.996397383]
2025-12-04T10:06:35.2976007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:35.2979819Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:35.297667]
2025-12-04T10:06:35.7304985Z W1204 10:06:35.729000 17848 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:37.1434079Z Running inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 10:06:37.142977][3256.842262216]
2025-12-04T10:06:37.1434803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:37.1437556Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:37.143407]
2025-12-04T10:06:42.1036782Z 
2025-12-04T10:06:42.1038057Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_79392c4d63e19feb_.log
2025-12-04T10:06:42.1038855Z 
2025-12-04T10:06:42.1039199Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:06:42.103486][3261.802771135], took 0.15min
2025-12-04T10:06:44.2312535Z 
2025-12-04T10:06:44.2313702Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_3dda5d59d47c53e3_.log
2025-12-04T10:06:44.2316299Z Running 0 items in this shard:
2025-12-04T10:06:44.2316515Z 
2025-12-04T10:06:44.2316806Z Finished dynamo/test_logging 1/1 ... [2025-12-04 10:06:44.231249][3263.930531294], took 0.15min
2025-12-04T10:06:44.2458994Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-9430955d13887584.xml
2025-12-04T10:06:44.6670025Z W1204 10:06:44.666000 18175 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:46.0960865Z Running inductor/test_flex_decoding 1/1 ... [2025-12-04 10:06:46.095671][3265.794955379]
2025-12-04T10:06:46.0961456Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:46.0964171Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:46.096103]
2025-12-04T10:06:46.1518970Z 
2025-12-04T10:06:46.1520086Z inductor/test_cuda_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.1_424d6a85910142ab_.log
2025-12-04T10:06:46.1521031Z Running 0 items in this shard:
2025-12-04T10:06:46.1521249Z 
2025-12-04T10:06:46.1521606Z Finished inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 10:06:46.151823][3265.85110921], took 0.15min
2025-12-04T10:06:46.1663008Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-927e14036efd58de.xml
2025-12-04T10:06:46.8407581Z W1204 10:06:46.840000 18215 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:48.2425978Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 10:06:48.242141][3267.941423465]
2025-12-04T10:06:48.2426691Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:48.2429483Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_native_matmul.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:48.242624]
2025-12-04T10:06:48.6479985Z W1204 10:06:48.647000 18248 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:49.9308473Z 
2025-12-04T10:06:49.9309449Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_295773ed2964b113_.log
2025-12-04T10:06:49.9310327Z Running 0 items in this shard:
2025-12-04T10:06:49.9310569Z 
2025-12-04T10:06:49.9310909Z Finished inductor/test_flex_decoding 1/1 ... [2025-12-04 10:06:49.930834][3269.630113372], took 0.06min
2025-12-04T10:06:49.9445059Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_decoding/inductor.test_flex_decoding-09dd89439391de57.xml
2025-12-04T10:06:50.0602220Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:06:50.059832][3269.759117016]
2025-12-04T10:06:50.0610329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:50.0611805Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:50.060273]
2025-12-04T10:06:52.5915873Z W1204 10:06:52.590000 18298 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:54.0485629Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 10:06:54.048079][3273.747363122]
2025-12-04T10:06:54.0486211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:54.0489708Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:54.048604]
2025-12-04T10:06:57.2083523Z 
2025-12-04T10:06:57.2084520Z 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_a2b44a743389608d_.log
2025-12-04T10:06:57.2085307Z 
2025-12-04T10:06:57.2085636Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 10:06:57.208322][3276.907603908], took 0.15min
2025-12-04T10:06:59.3909095Z 
2025-12-04T10:06:59.3910729Z 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_57fa5daf17b3ac26_.log
2025-12-04T10:06:59.3912269Z Running 0 items in this shard:
2025-12-04T10:06:59.3912588Z 
2025-12-04T10:06:59.3913136Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:06:59.390801][3279.090086889], took 0.16min
2025-12-04T10:06:59.4050463Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-6013989d513439c7.xml
2025-12-04T10:06:59.9319975Z W1204 10:06:59.931000 18518 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:01.4331565Z Running inductor/test_aot_inductor_package 1/1 ... [2025-12-04 10:07:01.432663][3281.131948483]
2025-12-04T10:07:01.4332586Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:01.4335840Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:01.433144]
2025-12-04T10:07:02.0944443Z W1204 10:07:02.093000 18611 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:03.4971309Z Running inductor/test_online_softmax 1/1 ... [2025-12-04 10:07:03.496730][3283.196014978]
2025-12-04T10:07:03.4971895Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:03.4974991Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:03.497174]
2025-12-04T10:07:10.2428968Z 
2025-12-04T10:07:10.2430696Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_fd252224c0a67890_.log
2025-12-04T10:07:10.2432077Z 
2025-12-04T10:07:10.2432753Z Finished inductor/test_aot_inductor_package 1/1 ... [2025-12-04 10:07:10.242780][3289.942066837], took 0.15min
2025-12-04T10:07:12.3246740Z 
2025-12-04T10:07:12.3248617Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_b8d3422564842ea7_.log
2025-12-04T10:07:12.3249437Z 
2025-12-04T10:07:12.3249775Z Finished inductor/test_online_softmax 1/1 ... [2025-12-04 10:07:12.324568][3292.023852642], took 0.15min
2025-12-04T10:07:12.8168658Z W1204 10:07:12.816000 18947 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:14.2611838Z Running inductor/test_unbacked_symints 1/1 ... [2025-12-04 10:07:14.260705][3293.959989833]
2025-12-04T10:07:14.2612417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:14.2615029Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:14.261188]
2025-12-04T10:07:14.9924634Z W1204 10:07:14.991000 19046 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:16.3876251Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:07:16.387187][3296.086472373]
2025-12-04T10:07:16.3876838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:16.3879417Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:16.387620]
2025-12-04T10:07:23.2349708Z 
2025-12-04T10:07:23.2350961Z 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_c39a111552690137_.log
2025-12-04T10:07:23.2352550Z Running 0 items in this shard:
2025-12-04T10:07:23.2352960Z 
2025-12-04T10:07:23.2353518Z Finished inductor/test_unbacked_symints 1/1 ... [2025-12-04 10:07:23.234946][3302.934228505], took 0.15min
2025-12-04T10:07:23.2493206Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-b050dee0b3a8168e.xml
2025-12-04T10:07:25.2390508Z 
2025-12-04T10:07:25.2392541Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_eca1f3f07e52b0e3_.log
2025-12-04T10:07:25.2394039Z 
2025-12-04T10:07:25.2394627Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:07:25.238933][3304.93821944], took 0.15min
2025-12-04T10:07:25.7958207Z W1204 10:07:25.794000 19402 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:27.2319991Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:07:27.231538][3306.930823257]
2025-12-04T10:07:27.2320723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:27.2323439Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:27.231993]
2025-12-04T10:07:27.8355929Z W1204 10:07:27.834000 19501 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:29.2427528Z Running test_varlen_attention 1/1 ... [2025-12-04 10:07:29.242267][3308.941552116]
2025-12-04T10:07:29.2428093Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:29.2431192Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:29.242767]
2025-12-04T10:07:33.2611007Z 
2025-12-04T10:07:33.2612054Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_08da2610581fc896_.log
2025-12-04T10:07:33.2613427Z Running 0 items in this shard:
2025-12-04T10:07:33.2613642Z 
2025-12-04T10:07:33.2613951Z Finished test_varlen_attention 1/1 ... [2025-12-04 10:07:33.261009][3312.96029437], took 0.07min
2025-12-04T10:07:33.2837067Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-95a9715bbb246307.xml
2025-12-04T10:07:35.8817120Z W1204 10:07:35.880000 19750 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:36.0049186Z 
2025-12-04T10:07:36.0050165Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_2fc9d19e74e504f6_.log
2025-12-04T10:07:36.0051113Z 
2025-12-04T10:07:36.0051540Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:07:36.004774][3315.704060665], took 0.15min
2025-12-04T10:07:37.2618323Z Running test_matmul_cuda 1/1 ... [2025-12-04 10:07:37.261409][3316.960694339]
2025-12-04T10:07:37.2618885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:37.2621167Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:37.261849]
2025-12-04T10:07:38.6021573Z W1204 10:07:38.601000 19782 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:40.0399867Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 10:07:40.039551][3319.738835884]
2025-12-04T10:07:40.0400481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:40.0404428Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:40.040004]
2025-12-04T10:07:46.2598091Z 
2025-12-04T10:07:46.2599085Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_6a8f549cc05653fe_.log
2025-12-04T10:07:46.2599947Z Running 0 items in this shard:
2025-12-04T10:07:46.2600230Z 
2025-12-04T10:07:46.2600502Z Finished test_matmul_cuda 1/1 ... [2025-12-04 10:07:46.259763][3325.959047519], took 0.15min
2025-12-04T10:07:46.2746327Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-0d3d7ba52eee85c7.xml
2025-12-04T10:07:48.8711156Z W1204 10:07:48.870000 20230 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:49.1988737Z 
2025-12-04T10:07:49.1989793Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_bfd7d41078f3a7a3_.log
2025-12-04T10:07:49.2017901Z Running 50 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module
2025-12-04T10:07:49.2042853Z 
2025-12-04T10:07:49.2043228Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 10:07:49.198959][3328.898241013], took 0.15min
2025-12-04T10:07:49.2152948Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-e379ebb0481f1663.xml
2025-12-04T10:07:50.2749094Z Running test_decomp 1/1 ... [2025-12-04 10:07:50.274451][3329.973736614]
2025-12-04T10:07:50.2749872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:50.2754052Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:50.274974]
2025-12-04T10:07:51.7448262Z W1204 10:07:51.744000 20263 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:53.1563558Z Running test_meta 1/1 ... [2025-12-04 10:07:53.155893][3332.855178623]
2025-12-04T10:07:53.1564584Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:53.1567028Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:53.156350]
2025-12-04T10:07:55.6683103Z 
2025-12-04T10:07:55.6684241Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_3e627615871ec684_.log
2025-12-04T10:07:55.6685285Z Running 0 items in this shard:
2025-12-04T10:07:55.6685526Z 
2025-12-04T10:07:55.6686039Z Finished test_decomp 1/1 ... [2025-12-04 10:07:55.668190][3335.367474753], took 0.09min
2025-12-04T10:07:55.6836524Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-0d949c8e2a1b02d6.xml
2025-12-04T10:07:58.2671989Z W1204 10:07:58.266000 20470 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:58.3575950Z 
2025-12-04T10:07:58.3576780Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_c6581c3dcaec0f8e_.log
2025-12-04T10:07:58.3577556Z Running 0 items in this shard:
2025-12-04T10:07:58.3577757Z 
2025-12-04T10:07:58.3577997Z Finished test_meta 1/1 ... [2025-12-04 10:07:58.357548][3338.056834704], took 0.09min
2025-12-04T10:07:58.3729360Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-b44d6d8eb2f88be3.xml
2025-12-04T10:07:59.6708660Z Running test_ops_jit 1/1 ... [2025-12-04 10:07:59.670275][3339.369554828]
2025-12-04T10:07:59.6709759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:59.6716867Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:59.671191]
2025-12-04T10:08:00.9141073Z W1204 10:08:00.913000 20524 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:02.3294930Z Running test_nestedtensor 1/1 ... [2025-12-04 10:08:02.329058][3342.028342914]
2025-12-04T10:08:02.3295458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:02.3298168Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:02.329501]
2025-12-04T10:08:04.7346072Z 
2025-12-04T10:08:04.7347186Z test_ops_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.1_39580c01933f8b7c_.log
2025-12-04T10:08:04.7347908Z Running 0 items in this shard:
2025-12-04T10:08:04.7348121Z 
2025-12-04T10:08:04.7348367Z Finished test_ops_jit 1/1 ... [2025-12-04 10:08:04.734489][3344.433775466], took 0.08min
2025-12-04T10:08:04.7500839Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-754499c5964ce0fb.xml
2025-12-04T10:08:07.3145646Z W1204 10:08:07.313000 20744 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:07.8563229Z 
2025-12-04T10:08:07.8564495Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_fbdf67a2bcb4a5b1_.log
2025-12-04T10:08:07.8565293Z Running 0 items in this shard:
2025-12-04T10:08:07.8565492Z 
2025-12-04T10:08:07.8565780Z Finished test_nestedtensor 1/1 ... [2025-12-04 10:08:07.856217][3347.555503264], took 0.09min
2025-12-04T10:08:07.8720083Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-bab295baa0802a7d.xml
2025-12-04T10:08:08.7240541Z Running test_linalg 1/1 ... [2025-12-04 10:08:08.723632][3348.422918083]
2025-12-04T10:08:08.7241039Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:08.7244130Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:08.724114]
2025-12-04T10:08:10.4297737Z W1204 10:08:10.428000 20816 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:11.8323797Z Running test_public_bindings 1/1 ... [2025-12-04 10:08:11.831848][3351.531132511]
2025-12-04T10:08:11.8324369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:11.8326297Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_public_bindings.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:11.832324]
2025-12-04T10:08:13.2534792Z 
2025-12-04T10:08:13.2535941Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_4902468b1177722f_.log
2025-12-04T10:08:13.2536688Z Running 0 items in this shard:
2025-12-04T10:08:13.2536918Z 
2025-12-04T10:08:13.2537180Z Finished test_linalg 1/1 ... [2025-12-04 10:08:13.253435][3352.952717374], took 0.08min
2025-12-04T10:08:13.2694550Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-6d82ce197a23233d.xml
2025-12-04T10:08:15.4161908Z 
2025-12-04T10:08:15.4163217Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_b651b3deafc6098f_.log
2025-12-04T10:08:15.4164033Z Running 0 items in this shard:
2025-12-04T10:08:15.4164230Z 
2025-12-04T10:08:15.4164538Z Finished test_public_bindings 1/1 ... [2025-12-04 10:08:15.416078][3355.115361975], took 0.06min
2025-12-04T10:08:15.4322180Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_public_bindings/test_public_bindings-e4e232f6b435b470.xml
2025-12-04T10:08:15.8597418Z W1204 10:08:15.858000 20965 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:17.2963777Z Running test_ops 1/1 ... [2025-12-04 10:08:17.295908][3356.995192067]
2025-12-04T10:08:17.2964261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:17.2967754Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:17.296401]
2025-12-04T10:08:17.9439346Z W1204 10:08:17.943000 21022 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:19.3052209Z Running functorch/test_dims 1/1 ... [2025-12-04 10:08:19.304761][3359.004046464]
2025-12-04T10:08:19.3052726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:19.3055662Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:19.305211]
2025-12-04T10:08:23.4144755Z 
2025-12-04T10:08:23.4145809Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_9f9df67a668e655c_.log
2025-12-04T10:08:23.4159682Z Running 50 items in this shard: test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda
2025-12-04T10:08:23.4172861Z 
2025-12-04T10:08:23.4173264Z Finished functorch/test_dims 1/1 ... [2025-12-04 10:08:23.414438][3363.113723775], took 0.07min
2025-12-04T10:08:23.4409571Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-5977f256999f900b.xml
2025-12-04T10:08:26.0662322Z W1204 10:08:26.065000 21286 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:27.3535164Z 
2025-12-04T10:08:27.3535991Z test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.1_dfab98e0000f079d_.log
2025-12-04T10:08:27.3536708Z Running 0 items in this shard:
2025-12-04T10:08:27.3537450Z 
2025-12-04T10:08:27.3537752Z Finished test_ops 1/1 ... [2025-12-04 10:08:27.353416][3367.052702909], took 0.17min
2025-12-04T10:08:27.3796127Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-6a325ce3d1ffa2f7.xml
2025-12-04T10:08:27.4694956Z Running test_sparse_csr 1/1 ... [2025-12-04 10:08:27.469064][3367.16834904]
2025-12-04T10:08:27.4695722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:27.4699937Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:27.469636]
2025-12-04T10:08:29.9865115Z W1204 10:08:29.985000 21401 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:31.4384697Z Running functorch/test_ops 1/1 ... [2025-12-04 10:08:31.437990][3371.137274638]
2025-12-04T10:08:31.4385232Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:31.4388599Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:31.438504]
2025-12-04T10:08:32.6184966Z 
2025-12-04T10:08:32.6185864Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_5ee5a06de14d676b_.log
2025-12-04T10:08:32.6186612Z Running 0 items in this shard:
2025-12-04T10:08:32.6186832Z 
2025-12-04T10:08:32.6187096Z Finished test_sparse_csr 1/1 ... [2025-12-04 10:08:32.618494][3372.317776787], took 0.09min
2025-12-04T10:08:32.6354060Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-38fc5b951adfb55b.xml
2025-12-04T10:08:35.1600810Z W1204 10:08:35.159000 21499 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:36.5545043Z Running functorch/test_vmap 1/1 ... [2025-12-04 10:08:36.554067][3376.25335138]
2025-12-04T10:08:36.5545582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:36.5549356Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:36.554593]
2025-12-04T10:08:36.7898194Z 
2025-12-04T10:08:36.7899093Z functorch/test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.1_49b1bf7e74c2e546_.log
2025-12-04T10:08:36.7899897Z Running 0 items in this shard:
2025-12-04T10:08:36.7900095Z 
2025-12-04T10:08:36.7900379Z Finished functorch/test_ops 1/1 ... [2025-12-04 10:08:36.789787][3376.489070486], took 0.09min
2025-12-04T10:08:36.8071543Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-ebb7ed3ad206fc4a.xml
2025-12-04T10:08:39.3494759Z W1204 10:08:39.348000 21648 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:40.8411730Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 10:08:40.840569][3380.539847551]
2025-12-04T10:08:40.8412933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:40.8421452Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:40.841628]
2025-12-04T10:08:42.4584405Z 
2025-12-04T10:08:42.4585409Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_c3141b60d3d01d33_.log
2025-12-04T10:08:42.4586242Z Running 0 items in this shard:
2025-12-04T10:08:42.4586453Z 
2025-12-04T10:08:42.4586747Z Finished functorch/test_vmap 1/1 ... [2025-12-04 10:08:42.458328][3382.157612484], took 0.10min
2025-12-04T10:08:42.4760527Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-cdfbdfc3cad7d343.xml
2025-12-04T10:08:44.4585084Z 
2025-12-04T10:08:44.4586859Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_caf6d519245b009a_.log
2025-12-04T10:08:44.4588748Z Running 0 items in this shard:
2025-12-04T10:08:44.4589196Z 
2025-12-04T10:08:44.4589881Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 10:08:44.458393][3384.157678997], took 0.06min
2025-12-04T10:08:44.4763893Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-5faee5b6244bd0b7.xml
2025-12-04T10:08:45.0674376Z W1204 10:08:45.066000 21760 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:46.4943896Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 10:08:46.493884][3386.193168916]
2025-12-04T10:08:46.4944830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:46.4947319Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_group_batch_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:46.494350]
2025-12-04T10:08:47.0073095Z W1204 10:08:47.006000 21817 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:48.4220229Z Running dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 10:08:48.421607][3388.120891686]
2025-12-04T10:08:48.4220964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:48.4223762Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:48.422033]
2025-12-04T10:08:55.4737930Z 
2025-12-04T10:08:55.4739101Z inductor/test_group_batch_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_group_batch_fusion_1.1_31ec97b47596b169_.log
2025-12-04T10:08:55.4740049Z Running 0 items in this shard:
2025-12-04T10:08:55.4740261Z 
2025-12-04T10:08:55.4740606Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 10:08:55.473739][3395.17302447], took 0.15min
2025-12-04T10:08:55.4916609Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-ba7956e0f68ce278.xml
2025-12-04T10:08:58.1161651Z W1204 10:08:58.115000 22239 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:59.4844873Z Running inductor/test_cpu_repro 1/4 ... [2025-12-04 10:08:59.484111][3399.183396254]
2025-12-04T10:08:59.4845401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:59.4849425Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:59.484614]
2025-12-04T10:09:02.6238742Z 
2025-12-04T10:09:02.6240124Z dynamo/test_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.2_33c3a9562f451e44_.log
2025-12-04T10:09:02.6241419Z Running 0 items in this shard:
2025-12-04T10:09:02.6241731Z 
2025-12-04T10:09:02.6242217Z Finished dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 10:09:02.623716][3402.323001505], took 0.24min
2025-12-04T10:09:02.6423130Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-ee20dc141864b92e.xml
2025-12-04T10:09:05.1641073Z W1204 10:09:05.163000 22405 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:06.6095398Z Running inductor/test_cpu_repro 4/4 ... [2025-12-04 10:09:06.609064][3406.30834897]
2025-12-04T10:09:06.6096358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:06.6099983Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:06.609542]
2025-12-04T10:09:09.9275847Z 
2025-12-04T10:09:09.9276861Z inductor/test_cpu_repro 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.4_85fa429ade3c67c3_.log
2025-12-04T10:09:09.9277728Z Running 0 items in this shard:
2025-12-04T10:09:09.9277930Z 
2025-12-04T10:09:09.9278240Z Finished inductor/test_cpu_repro 1/4 ... [2025-12-04 10:09:09.927537][3409.626823729], took 0.17min
2025-12-04T10:09:09.9463019Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-6b5afaf63c49f06e.xml
2025-12-04T10:09:12.4183284Z W1204 10:09:12.417000 22633 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:13.8188766Z Running inductor/test_smoke 1/1 ... [2025-12-04 10:09:13.818425][3413.517710696]
2025-12-04T10:09:13.8189303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:13.8193343Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:13.819002]
2025-12-04T10:09:16.9931536Z 
2025-12-04T10:09:16.9932959Z inductor/test_cpu_repro 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_4.4_59ce3009853402c4_.log
2025-12-04T10:09:16.9934014Z Running 0 items in this shard:
2025-12-04T10:09:16.9934215Z 
2025-12-04T10:09:16.9934534Z Finished inductor/test_cpu_repro 4/4 ... [2025-12-04 10:09:16.993032][3416.692317426], took 0.17min
2025-12-04T10:09:17.0244685Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-604de218ef933e6a.xml
2025-12-04T10:09:19.5208939Z W1204 10:09:19.520000 22885 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:20.9181551Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 10:09:20.917714][3420.616998923]
2025-12-04T10:09:20.9182186Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:20.9184431Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:20.918140]
2025-12-04T10:09:22.3475237Z 
2025-12-04T10:09:22.3476184Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_2ee43606df96ebdc_.log
2025-12-04T10:09:22.3476925Z 
2025-12-04T10:09:22.3477238Z Finished inductor/test_smoke 1/1 ... [2025-12-04 10:09:22.347359][3422.046634462], took 0.14min
2025-12-04T10:09:24.7690403Z W1204 10:09:24.768000 23087 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:24.7833058Z 
2025-12-04T10:09:24.7834347Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_0ed8f17568b14ad7_.log
2025-12-04T10:09:24.7835198Z Running 0 items in this shard:
2025-12-04T10:09:24.7835411Z 
2025-12-04T10:09:24.7835707Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 10:09:24.783264][3424.482550793], took 0.06min
2025-12-04T10:09:24.8019852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-228a7db9a134f2d0.xml
2025-12-04T10:09:26.1766065Z Running inductor/test_minifier 1/1 ... [2025-12-04 10:09:26.176139][3425.875423779]
2025-12-04T10:09:26.1767055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:26.1769741Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:26.176606]
2025-12-04T10:09:27.3183942Z W1204 10:09:27.317000 23187 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:28.6795759Z Running inductor/test_compiled_autograd 1/2 ... [2025-12-04 10:09:28.679087][3428.378372238]
2025-12-04T10:09:28.6796828Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:28.6799516Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:28.679500]
2025-12-04T10:09:35.0418355Z 
2025-12-04T10:09:35.0419349Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_9e0ea82fbea996dc_.log
2025-12-04T10:09:35.0420207Z Running 0 items in this shard:
2025-12-04T10:09:35.0420427Z 
2025-12-04T10:09:35.0420731Z Finished inductor/test_minifier 1/1 ... [2025-12-04 10:09:35.041720][3434.741005346], took 0.15min
2025-12-04T10:09:35.0710306Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-f0133e06338feeb7.xml
2025-12-04T10:09:37.5599610Z W1204 10:09:37.559000 23558 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:38.9476041Z Running inductor/test_compiled_autograd 2/2 ... [2025-12-04 10:09:38.947029][3438.646308271]
2025-12-04T10:09:38.9477726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:38.9482880Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:38.947813]
2025-12-04T10:09:40.5643297Z 
2025-12-04T10:09:40.5644329Z inductor/test_compiled_autograd 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.2_8b48d24d4ea2ae4e_.log
2025-12-04T10:09:40.5675069Z Running 50 items in this shard: test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel
2025-12-04T10:09:40.5704887Z 
2025-12-04T10:09:40.5705247Z Finished inductor/test_compiled_autograd 1/2 ... [2025-12-04 10:09:40.564359][3440.263643126], took 0.20min
2025-12-04T10:09:40.5834021Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-2b1f949fe18aee6a.xml
2025-12-04T10:09:43.4110384Z W1204 10:09:43.410000 23713 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:44.8906257Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 10:09:44.890143][3444.589426987]
2025-12-04T10:09:44.8906856Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:44.8910173Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:44.890652]
2025-12-04T10:09:51.0975064Z 
2025-12-04T10:09:51.0976078Z inductor/test_compiled_autograd 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_2.2_786b0d2f107566c9_.log
2025-12-04T10:09:51.0976998Z Running 0 items in this shard:
2025-12-04T10:09:51.0977198Z 
2025-12-04T10:09:51.0977548Z Finished inductor/test_compiled_autograd 2/2 ... [2025-12-04 10:09:51.097367][3450.796652464], took 0.20min
2025-12-04T10:09:51.1168415Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-6c1d0ed48303c5a9.xml
2025-12-04T10:09:53.8041191Z W1204 10:09:53.803000 24114 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:54.2001989Z 
2025-12-04T10:09:54.2003433Z 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_b3148fd217c06f21_.log
2025-12-04T10:09:54.2004796Z Running 0 items in this shard:
2025-12-04T10:09:54.2005010Z 
2025-12-04T10:09:54.2005348Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 10:09:54.200219][3453.899502204], took 0.16min
2025-12-04T10:09:54.2203142Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-fe18e6abee320b9a.xml
2025-12-04T10:09:55.2477500Z Running inductor/test_perf 1/1 ... [2025-12-04 10:09:55.247335][3454.946617962]
2025-12-04T10:09:55.2478025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:55.2482445Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_perf.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:55.247960]
2025-12-04T10:09:56.9872656Z W1204 10:09:56.986000 24170 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:58.4525577Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 10:09:58.452177][3458.151461007]
2025-12-04T10:09:58.4526153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:58.4529463Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:58.452620]
2025-12-04T10:10:04.7328679Z 
2025-12-04T10:10:04.7329599Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_741d67d937c46466_.log
2025-12-04T10:10:04.7330300Z 
2025-12-04T10:10:04.7330583Z Finished inductor/test_perf 1/1 ... [2025-12-04 10:10:04.732758][3464.432037998], took 0.16min
2025-12-04T10:10:07.2920663Z W1204 10:10:07.291000 24584 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:07.7225918Z 
2025-12-04T10:10:07.7226887Z 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_3df874fbeade0de9_.log
2025-12-04T10:10:07.7227795Z Running 0 items in this shard:
2025-12-04T10:10:07.7227999Z 
2025-12-04T10:10:07.7228336Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 10:10:07.722517][3467.421801934], took 0.15min
2025-12-04T10:10:07.7422216Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-e265c31780477bb3.xml
2025-12-04T10:10:08.6714609Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 10:10:08.670995][3468.370280605]
2025-12-04T10:10:08.6715660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:08.6717698Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:08.671461]
2025-12-04T10:10:10.3103465Z W1204 10:10:10.309000 24626 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:11.7048792Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:10:11.704442][3471.40372742]
2025-12-04T10:10:11.7049496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:11.7051796Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:11.704891]
2025-12-04T10:10:17.5629329Z 
2025-12-04T10:10:17.5630334Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_32d35d31e2fd6ee2_.log
2025-12-04T10:10:17.5631492Z Running 0 items in this shard:
2025-12-04T10:10:17.5631693Z 
2025-12-04T10:10:17.5632039Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 10:10:17.562943][3477.262223815], took 0.15min
2025-12-04T10:10:17.5830596Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-7eb20adaafa299a4.xml
2025-12-04T10:10:20.0739527Z W1204 10:10:20.073000 25039 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:21.4747553Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 10:10:21.474336][3481.173621359]
2025-12-04T10:10:21.4748419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:21.4751303Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:21.474795]
2025-12-04T10:10:30.1037770Z 
2025-12-04T10:10:30.1039248Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_223adf5a7c0a2fec_.log
2025-12-04T10:10:30.1040126Z Running 0 items in this shard:
2025-12-04T10:10:30.1040328Z 
2025-12-04T10:10:30.1040646Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 10:10:30.103785][3489.803067089], took 0.14min
2025-12-04T10:10:30.1270260Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-f9b455b847c79734.xml
2025-12-04T10:10:32.8285949Z W1204 10:10:32.827000 25690 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:34.3657911Z Running inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 10:10:34.365309][3494.064592975]
2025-12-04T10:10:34.3658514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:34.3661804Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:34.365858]
2025-12-04T10:10:44.0432701Z 
2025-12-04T10:10:44.0434425Z 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_9e034634311c9223_.log
2025-12-04T10:10:44.0435993Z Running 0 items in this shard:
2025-12-04T10:10:44.0436302Z 
2025-12-04T10:10:44.0437020Z Finished inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 10:10:44.043153][3503.742440254], took 0.16min
2025-12-04T10:10:44.0642176Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-68eb1233524abe3d.xml
2025-12-04T10:10:46.5367930Z W1204 10:10:46.536000 26610 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:47.9098857Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 10:10:47.909374][3507.608659635]
2025-12-04T10:10:47.9099439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:47.9102084Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:47.909839]
2025-12-04T10:10:56.9394239Z 
2025-12-04T10:10:56.9395698Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_ce37be772c406bd3_.log
2025-12-04T10:10:56.9396921Z 
2025-12-04T10:10:56.9397481Z Finished inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 10:10:56.939292][3516.638578757], took 0.15min
2025-12-04T10:10:59.5969691Z W1204 10:10:59.596000 27380 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:01.0061698Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 10:11:01.005641][3520.704925085]
2025-12-04T10:11:01.0062339Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:01.0064797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:01.006136]
2025-12-04T10:11:09.8897716Z 
2025-12-04T10:11:09.8898932Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_90706abc7b6fef82_.log
2025-12-04T10:11:09.8899861Z 
2025-12-04T10:11:09.8900265Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 10:11:09.889692][3529.588971077], took 0.15min
2025-12-04T10:11:12.5191957Z W1204 10:11:12.518000 28280 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:13.9353179Z Running inductor/test_halide 1/1 ... [2025-12-04 10:11:13.934848][3533.634133089]
2025-12-04T10:11:13.9353767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:13.9356311Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:13.935294]
2025-12-04T10:11:22.8346679Z 
2025-12-04T10:11:22.8347959Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_248b02f8af9d3891_.log
2025-12-04T10:11:22.8348978Z 
2025-12-04T10:11:22.8349448Z Finished inductor/test_halide 1/1 ... [2025-12-04 10:11:22.834521][3542.533806639], took 0.15min
2025-12-04T10:11:23.5049098Z Uploading artifacts took 0.63 seconds
2025-12-04T10:11:25.4069768Z W1204 10:11:25.406000 29152 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:26.8131666Z Running inductor/test_pad_mm 1/1 ... [2025-12-04 10:11:26.812705][3546.511990656]
2025-12-04T10:11:26.8132199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:26.8134769Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pad_mm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:26.813146]
2025-12-04T10:11:35.2091446Z 
2025-12-04T10:11:35.2092478Z 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_85e4fb0f41ef0ddb_.log
2025-12-04T10:11:35.2093205Z 
2025-12-04T10:11:35.2093494Z Finished inductor/test_pad_mm 1/1 ... [2025-12-04 10:11:35.209022][3554.908308552], took 0.14min
2025-12-04T10:11:37.7035661Z W1204 10:11:37.702000 29925 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:39.1159255Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 10:11:39.115433][3558.81471576]
2025-12-04T10:11:39.1159881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:39.1162707Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:39.115922]
2025-12-04T10:11:48.0616956Z 
2025-12-04T10:11:48.0618055Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_97d50df089b50869_.log
2025-12-04T10:11:48.0619041Z Running 0 items in this shard:
2025-12-04T10:11:48.0619241Z 
2025-12-04T10:11:48.0619634Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 10:11:48.061586][3567.760872216], took 0.15min
2025-12-04T10:11:48.0820624Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-0d79d8e68f50a1d6.xml
2025-12-04T10:11:50.5566003Z W1204 10:11:50.555000 30755 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:51.9572512Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:11:51.956770][3571.656054443]
2025-12-04T10:11:51.9573407Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:51.9575700Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:51.957198]
2025-12-04T10:12:00.6185482Z 
2025-12-04T10:12:00.6187015Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_fa16769430d6d846_.log
2025-12-04T10:12:00.6187751Z 
2025-12-04T10:12:00.6188054Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:12:00.618468][3580.317751777], took 0.14min
2025-12-04T10:12:03.1089106Z W1204 10:12:03.108000 31613 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:04.4974625Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 10:12:04.497081][3584.196366737]
2025-12-04T10:12:04.4975163Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:04.4977997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:04.497504]
2025-12-04T10:12:12.9598580Z 
2025-12-04T10:12:12.9600027Z 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_1626039484ad0b42_.log
2025-12-04T10:12:12.9600927Z 
2025-12-04T10:12:12.9601270Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 10:12:12.959779][3592.659064609], took 0.14min
2025-12-04T10:12:15.6449523Z W1204 10:12:15.643000 32421 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:17.1760874Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 10:12:17.175635][3596.874919327]
2025-12-04T10:12:17.1761476Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:17.1766240Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_gpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:17.176109]
2025-12-04T10:12:27.1769545Z 
2025-12-04T10:12:27.1770821Z inductor/test_gpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_gpu_cpp_wrapper_1.1_f6ef869dbd045bb6_.log
2025-12-04T10:12:27.1771638Z 
2025-12-04T10:12:27.1771975Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 10:12:27.176888][3606.876172643], took 0.17min
2025-12-04T10:12:29.8893935Z W1204 10:12:29.888000 33279 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:31.2363621Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 10:12:31.235952][3610.935237441]
2025-12-04T10:12:31.2364198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:31.2367230Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:31.236373]
2025-12-04T10:12:34.7727919Z 
2025-12-04T10:12:34.7729191Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_21aee45b67b0d8cc_.log
2025-12-04T10:12:34.7730108Z Running 0 items in this shard:
2025-12-04T10:12:34.7730310Z 
2025-12-04T10:12:34.7730660Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 10:12:34.772653][3614.471940321], took 0.06min
2025-12-04T10:12:34.7936540Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_deque_reconstruct/dynamo.test_deque_reconstruct-2146d95a059cbbb8.xml
2025-12-04T10:12:37.2463152Z W1204 10:12:37.245000 33730 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:38.6660493Z Running inductor/test_utils 1/1 ... [2025-12-04 10:12:38.665545][3618.364830846]
2025-12-04T10:12:38.6661449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:38.6663811Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:38.665953]
2025-12-04T10:12:42.4992939Z 
2025-12-04T10:12:42.4993891Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_67f7ea7ae89b84fd_.log
2025-12-04T10:12:42.4994722Z Running 0 items in this shard:
2025-12-04T10:12:42.4994940Z 
2025-12-04T10:12:42.4995228Z Finished inductor/test_utils 1/1 ... [2025-12-04 10:12:42.499149][3622.198428251], took 0.06min
2025-12-04T10:12:42.5210287Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_utils/inductor.test_utils-f1f2ad074e6d9356.xml
2025-12-04T10:12:45.0370790Z W1204 10:12:45.036000 34166 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:46.4240503Z Running inductor/test_indexing 1/1 ... [2025-12-04 10:12:46.423585][3626.122870647]
2025-12-04T10:12:46.4241077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:46.4243718Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:46.424036]
2025-12-04T10:12:55.3303193Z 
2025-12-04T10:12:55.3304316Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_2a72df86e9d33117_.log
2025-12-04T10:12:55.3305210Z Running 0 items in this shard:
2025-12-04T10:12:55.3305429Z 
2025-12-04T10:12:55.3305734Z Finished inductor/test_indexing 1/1 ... [2025-12-04 10:12:55.330171][3635.029457342], took 0.15min
2025-12-04T10:12:55.3701753Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_indexing/inductor.test_indexing-2409cad8cf0bdec6.xml
2025-12-04T10:12:57.8705565Z W1204 10:12:57.869000 34975 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:59.3048723Z Running inductor/test_inductor_annotations 1/1 ... [2025-12-04 10:12:59.304382][3639.003666704]
2025-12-04T10:12:59.3049770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:59.3053942Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_annotations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:59.304904]
2025-12-04T10:13:08.3079349Z 
2025-12-04T10:13:08.3080651Z inductor/test_inductor_annotations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_annotations_1.1_53db78424580683f_.log
2025-12-04T10:13:08.3081682Z Running 0 items in this shard:
2025-12-04T10:13:08.3081934Z 
2025-12-04T10:13:08.3082373Z Finished inductor/test_inductor_annotations 1/1 ... [2025-12-04 10:13:08.307946][3648.007229968], took 0.15min
2025-12-04T10:13:08.3301630Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_annotations/inductor.test_inductor_annotations-0dbc3921a667a510.xml
2025-12-04T10:13:10.8024613Z W1204 10:13:10.801000 35832 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:13:12.2101464Z Running inductor/test_compile_worker 1/1 ... [2025-12-04 10:13:12.209650][3651.908935913]
2025-12-04T10:13:12.2102105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:13:12.2104219Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_worker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:12.210100]
2025-12-04T10:13:20.8537307Z 
2025-12-04T10:13:20.8538729Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_b893cf8dd4430669_.log
2025-12-04T10:13:20.8539655Z Running 0 items in this shard:
2025-12-04T10:13:20.8539859Z 
2025-12-04T10:13:20.8540205Z Finished inductor/test_compile_worker 1/1 ... [2025-12-04 10:13:20.853659][3660.552939043], took 0.14min
2025-12-04T10:13:20.8759508Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_worker/inductor.test_compile_worker-6ac11265b7a6deff.xml
2025-12-04T10:13:23.2962438Z W1204 10:13:23.295000 36635 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:13:24.7610196Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:13:24.760508][3664.459793275]
2025-12-04T10:13:24.7610917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:13:24.7613996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:24.761014]
2025-12-04T10:13:28.6468825Z 
2025-12-04T10:13:28.6469778Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_25d0fa675b364853_.log
2025-12-04T10:13:28.6470657Z Running 0 items in this shard:
2025-12-04T10:13:28.6470862Z 
2025-12-04T10:13:28.6471156Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:13:28.646769][3668.346056323], took 0.06min
2025-12-04T10:13:28.6691615Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_einops/dynamo.test_einops-4e2c3ea14513afce.xml
2025-12-04T10:13:31.2488485Z W1204 10:13:31.248000 37077 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:13:32.6843859Z Running inductor/test_external_callables 1/1 ... [2025-12-04 10:13:32.683938][3672.383223976]
2025-12-04T10:13:32.6844471Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:13:32.6846996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:32.684369]
2025-12-04T10:13:36.5575075Z 
2025-12-04T10:13:36.5576229Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_4b6b4adf439ddb4e_.log
2025-12-04T10:13:36.5577270Z Running 0 items in this shard:
2025-12-04T10:13:36.5577483Z 
2025-12-04T10:13:36.5577844Z Finished inductor/test_external_callables 1/1 ... [2025-12-04 10:13:36.557431][3676.256713779], took 0.06min
2025-12-04T10:13:36.5988013Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_external_callables/inductor.test_external_callables-c7c1f6d85e1a096e.xml
2025-12-04T10:13:39.2445615Z W1204 10:13:39.243000 37589 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:13:40.6849928Z Running test_testing 1/1 ... [2025-12-04 10:13:40.684201][3680.383479002]
2025-12-04T10:13:40.6851045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:13:40.6857022Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_testing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:40.685118]
2025-12-04T10:13:46.0510620Z 
2025-12-04T10:13:46.0511549Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_b388ebe2f04ad11d_.log
2025-12-04T10:13:46.0525782Z Running 50 items in this shard: test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies
2025-12-04T10:13:46.0539579Z 
2025-12-04T10:13:46.0539832Z Finished test_testing 1/1 ... [2025-12-04 10:13:46.051042][3685.750326397], took 0.09min
2025-12-04T10:13:46.0733755Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_testing/test_testing-31d0dd029694cc37.xml
2025-12-04T10:13:48.5248784Z W1204 10:13:48.524000 38112 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:13:49.9318085Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:13:49.931376][3689.630661538]
2025-12-04T10:13:49.9319100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:13:49.9322353Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:49.931841]
2025-12-04T10:13:53.3689434Z 
2025-12-04T10:13:53.3690749Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_104d04f95e2390d7_.log
2025-12-04T10:13:53.3692649Z Running 0 items in this shard:
2025-12-04T10:13:53.3692864Z 
2025-12-04T10:13:53.3693195Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:13:53.368756][3693.068041941], took 0.06min
2025-12-04T10:13:53.4101428Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_passes_pre_grad/dynamo.test_fx_passes_pre_grad-2a47bf5847bc2746.xml
2025-12-04T10:13:55.8918200Z W1204 10:13:55.891000 38586 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:13:57.2927127Z Running export/test_strict_export_v2 1/1 ... [2025-12-04 10:13:57.292194][3696.991478609]
2025-12-04T10:13:57.2928212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:13:57.2930822Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_strict_export_v2.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:57.292644]
2025-12-04T10:14:06.8193920Z 
2025-12-04T10:14:06.8195271Z export/test_strict_export_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_strict_export_v2_1.1_78e41fd5ab373c76_.log
2025-12-04T10:14:06.8196596Z Running 0 items in this shard:
2025-12-04T10:14:06.8196888Z 
2025-12-04T10:14:06.8197386Z Finished export/test_strict_export_v2 1/1 ... [2025-12-04 10:14:06.819313][3706.518598672], took 0.16min
2025-12-04T10:14:06.8630579Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_strict_export_v2/export.test_strict_export_v2-85c026029b17be81.xml
2025-12-04T10:14:09.4230968Z W1204 10:14:09.422000 39439 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:14:10.7809413Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 10:14:10.780368][3710.479652798]
2025-12-04T10:14:10.7810416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:10.7813197Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:10.780890]
2025-12-04T10:14:15.6912609Z 
2025-12-04T10:14:15.6914211Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_772acb99f7af70f5_.log
2025-12-04T10:14:15.6915619Z Running 0 items in this shard:
2025-12-04T10:14:15.6915956Z 
2025-12-04T10:14:15.6916453Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 10:14:15.691093][3715.390370403], took 0.08min
2025-12-04T10:14:15.7149680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-90e6d5443c00db70.xml
2025-12-04T10:14:18.2876945Z W1204 10:14:18.286000 40001 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:14:19.6821969Z Running inductor/test_segmented_tree 1/1 ... [2025-12-04 10:14:19.681781][3719.381065268]
2025-12-04T10:14:19.6822546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:19.6825605Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_segmented_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:19.682266]
2025-12-04T10:14:23.1192780Z 
2025-12-04T10:14:23.1193882Z inductor/test_segmented_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_segmented_tree_1.1_cb947b2bc7e402d3_.log
2025-12-04T10:14:23.1195105Z Running 0 items in this shard:
2025-12-04T10:14:23.1195318Z 
2025-12-04T10:14:23.1196329Z Finished inductor/test_segmented_tree 1/1 ... [2025-12-04 10:14:23.119203][3722.81848882], took 0.06min
2025-12-04T10:14:23.1426614Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_segmented_tree/inductor.test_segmented_tree-49a555a7726a122a.xml
2025-12-04T10:14:25.6428617Z W1204 10:14:25.642000 40483 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:14:27.0625734Z Running inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:14:27.062101][3726.761385845]
2025-12-04T10:14:27.0626817Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:27.0630902Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:27.062640]
2025-12-04T10:14:35.7324805Z 
2025-12-04T10:14:35.7326477Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_2911b903e886095a_.log
2025-12-04T10:14:35.7328293Z Running 0 items in this shard:
2025-12-04T10:14:35.7328678Z 
2025-12-04T10:14:35.7329356Z Finished inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:14:35.732377][3735.431662476], took 0.14min
2025-12-04T10:14:35.7682706Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_kernel_optimization/inductor.test_kernel_optimization-3edda7e03e065d44.xml
2025-12-04T10:14:38.3249623Z W1204 10:14:38.324000 41292 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:14:39.7909630Z Running export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:14:39.790432][3739.489716196]
2025-12-04T10:14:39.7910254Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:39.7912544Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:39.790908]
2025-12-04T10:14:43.3841656Z 
2025-12-04T10:14:43.3842696Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_12d1ab6c170015dc_.log
2025-12-04T10:14:43.3843646Z Running 0 items in this shard:
2025-12-04T10:14:43.3843868Z 
2025-12-04T10:14:43.3844218Z Finished export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:14:43.384040][3743.083327143], took 0.06min
2025-12-04T10:14:43.4089679Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten_training_ir/export.test_unflatten_training_ir-6ac682496bf53e7d.xml
2025-12-04T10:14:45.9102896Z W1204 10:14:45.909000 41689 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:14:47.3302761Z Running inductor/test_fx_fusion 1/1 ... [2025-12-04 10:14:47.329815][3747.029098373]
2025-12-04T10:14:47.3303841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:47.3306202Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:47.330275]
2025-12-04T10:14:51.9766795Z 
2025-12-04T10:14:51.9768229Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_217b6639a7ae66f5_.log
2025-12-04T10:14:51.9769230Z Running 0 items in this shard:
2025-12-04T10:14:51.9769450Z 
2025-12-04T10:14:51.9769957Z Finished inductor/test_fx_fusion 1/1 ... [2025-12-04 10:14:51.976588][3751.67587393], took 0.08min
2025-12-04T10:14:52.0011055Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-fbf9a1d9b9d837a4.xml
2025-12-04T10:14:54.5248462Z W1204 10:14:54.524000 42179 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:14:55.8882812Z Running inductor/test_xpu_basic 1/1 ... [2025-12-04 10:14:55.887853][3755.587138327]
2025-12-04T10:14:55.8883378Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:14:55.8886093Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:55.888288]
2025-12-04T10:15:04.6153322Z 
2025-12-04T10:15:04.6154417Z 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_2fdae2e99b6e32ea_.log
2025-12-04T10:15:04.6155550Z 
2025-12-04T10:15:04.6156106Z Finished inductor/test_xpu_basic 1/1 ... [2025-12-04 10:15:04.615134][3764.314418444], took 0.15min
2025-12-04T10:15:07.1081250Z W1204 10:15:07.107000 43039 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:15:08.4803770Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:15:08.480016][3768.179301467]
2025-12-04T10:15:08.4804351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:08.4808209Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_inline_and_install.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:08.480438]
2025-12-04T10:15:12.9715365Z 
2025-12-04T10:15:12.9716522Z dynamo/test_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_inline_and_install_1.1_d4cb5c21faf31757_.log
2025-12-04T10:15:12.9717661Z Running 0 items in this shard:
2025-12-04T10:15:12.9717861Z 
2025-12-04T10:15:12.9718222Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:15:12.971423][3772.670707802], took 0.07min
2025-12-04T10:15:12.9964937Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-84dc3c89ce182211.xml
2025-12-04T10:15:15.5363776Z W1204 10:15:15.535000 43563 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:15:16.9053112Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 10:15:16.904822][3776.604106801]
2025-12-04T10:15:16.9054341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:16.9057238Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:16.905256]
2025-12-04T10:15:20.5224640Z 
2025-12-04T10:15:20.5226252Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_75836e4722fe5f85_.log
2025-12-04T10:15:20.5227780Z Running 0 items in this shard:
2025-12-04T10:15:20.5227983Z 
2025-12-04T10:15:20.5228387Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 10:15:20.522344][3780.221630925], took 0.06min
2025-12-04T10:15:20.5615285Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-a107bc47528a17dc.xml
2025-12-04T10:15:23.0288370Z W1204 10:15:23.028000 43945 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:15:24.3993434Z Running dynamo/test_base_output 1/1 ... [2025-12-04 10:15:24.398890][3784.098175892]
2025-12-04T10:15:24.3994142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:24.3997085Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:24.399324]
2025-12-04T10:15:28.2342252Z 
2025-12-04T10:15:28.2343316Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_ea056e77e6271bee_.log
2025-12-04T10:15:28.2344226Z Running 0 items in this shard:
2025-12-04T10:15:28.2344442Z 
2025-12-04T10:15:28.2344748Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 10:15:28.234131][3787.933417027], took 0.06min
2025-12-04T10:15:28.2742167Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-0c884e94c043680c.xml
2025-12-04T10:15:30.8484053Z W1204 10:15:30.847000 44456 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:15:32.2067090Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 10:15:32.206282][3791.905567107]
2025-12-04T10:15:32.2067710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:32.2070552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:32.206740]
2025-12-04T10:15:40.7501050Z 
2025-12-04T10:15:40.7502507Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_7b03acc912e58bdd_.log
2025-12-04T10:15:40.7503278Z 
2025-12-04T10:15:40.7503700Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 10:15:40.750056][3800.449338001], took 0.14min
2025-12-04T10:15:43.3387491Z W1204 10:15:43.337000 45217 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:15:44.7111401Z Running export/test_serialize 1/1 ... [2025-12-04 10:15:44.710654][3804.409938222]
2025-12-04T10:15:44.7112296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:44.7114861Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_serialize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:44.711124]
2025-12-04T10:15:53.6167216Z 
2025-12-04T10:15:53.6168519Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_3b44d05bb359a29f_.log
2025-12-04T10:15:53.6169386Z Running 0 items in this shard:
2025-12-04T10:15:53.6169596Z 
2025-12-04T10:15:53.6169898Z Finished export/test_serialize 1/1 ... [2025-12-04 10:15:53.616738][3813.316021933], took 0.15min
2025-12-04T10:15:53.6426941Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-fc2e35af3191b116.xml
2025-12-04T10:15:56.1183420Z W1204 10:15:56.117000 46074 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:15:57.5097828Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:15:57.509354][3817.208640065]
2025-12-04T10:15:57.5098414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:15:57.5101842Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutedsl_template.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:57.509859]
2025-12-04T10:16:06.1138100Z 
2025-12-04T10:16:06.1139097Z inductor/test_cutedsl_template 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutedsl_template_1.1_12fc552f65279138_.log
2025-12-04T10:16:06.1140079Z Running 0 items in this shard:
2025-12-04T10:16:06.1140279Z 
2025-12-04T10:16:06.1140620Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:16:06.113814][3825.813097705], took 0.14min
2025-12-04T10:16:06.1395910Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-5701311505b24cdc.xml
2025-12-04T10:16:08.6937121Z W1204 10:16:08.693000 46887 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:16:10.0628992Z Running inductor/test_inductor_scheduler 1/1 ... [2025-12-04 10:16:10.062410][3829.761695936]
2025-12-04T10:16:10.0630046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:10.0633449Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:10.062915]
2025-12-04T10:16:18.5203911Z 
2025-12-04T10:16:18.5205714Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_8b3e6bd6d2f5e617_.log
2025-12-04T10:16:18.5207757Z Running 0 items in this shard:
2025-12-04T10:16:18.5208202Z 
2025-12-04T10:16:18.5208858Z Finished inductor/test_inductor_scheduler 1/1 ... [2025-12-04 10:16:18.520260][3838.219546024], took 0.14min
2025-12-04T10:16:18.5479913Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_scheduler/inductor.test_inductor_scheduler-43c428ae464463f1.xml
2025-12-04T10:16:21.0826858Z W1204 10:16:21.081000 47744 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:16:22.4774493Z Running export/test_export_strict 1/1 ... [2025-12-04 10:16:22.477028][3842.176312974]
2025-12-04T10:16:22.4775069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:22.4778411Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:22.477508]
2025-12-04T10:16:31.9963715Z 
2025-12-04T10:16:31.9964849Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_e37016430642edbe_.log
2025-12-04T10:16:31.9965787Z Running 0 items in this shard:
2025-12-04T10:16:31.9966002Z 
2025-12-04T10:16:31.9966325Z Finished export/test_export_strict 1/1 ... [2025-12-04 10:16:31.996287][3851.695570772], took 0.16min
2025-12-04T10:16:32.0228901Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-cebae7d83a4f38c9.xml
2025-12-04T10:16:34.5105116Z W1204 10:16:34.509000 48568 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:16:35.9201771Z Running dynamo/test_modules 1/1 ... [2025-12-04 10:16:35.919619][3855.618904996]
2025-12-04T10:16:35.9202372Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:35.9205447Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:35.920071]
2025-12-04T10:16:44.7781602Z 
2025-12-04T10:16:44.7783075Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_612e3150e06086ec_.log
2025-12-04T10:16:44.7784645Z Running 0 items in this shard:
2025-12-04T10:16:44.7785023Z 
2025-12-04T10:16:44.7785558Z Finished dynamo/test_modules 1/1 ... [2025-12-04 10:16:44.777845][3864.477129102], took 0.15min
2025-12-04T10:16:44.8050668Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-0a54dfc5ac92df18.xml
2025-12-04T10:16:47.3285759Z W1204 10:16:47.327000 49447 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:16:48.6722904Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 10:16:48.671825][3868.371110854]
2025-12-04T10:16:48.6723484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:48.6726458Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:48.672241]
2025-12-04T10:16:52.3091899Z 
2025-12-04T10:16:52.3093470Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_ce14fac4d36b08ba_.log
2025-12-04T10:16:52.3094386Z Running 0 items in this shard:
2025-12-04T10:16:52.3094587Z 
2025-12-04T10:16:52.3094925Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 10:16:52.309117][3872.008394636], took 0.06min
2025-12-04T10:16:52.3445121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-f7f7d5e2de780492.xml
2025-12-04T10:16:54.8482125Z W1204 10:16:54.847000 49904 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:16:56.2960127Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:16:56.295584][3875.99486866]
2025-12-04T10:16:56.2960792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:16:56.2963514Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:56.296030]
2025-12-04T10:17:04.8556982Z 
2025-12-04T10:17:04.8558097Z 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_f79b5a504635fee2_.log
2025-12-04T10:17:04.8558992Z 
2025-12-04T10:17:04.8559366Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:17:04.855581][3884.554866473], took 0.14min
2025-12-04T10:17:07.3392783Z W1204 10:17:07.338000 50713 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:17:08.7549418Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 10:17:08.754486][3888.453771358]
2025-12-04T10:17:08.7549987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:08.7552824Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:08.754931]
2025-12-04T10:17:17.4102000Z 
2025-12-04T10:17:17.4103012Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_43dddbfa9cf002ef_.log
2025-12-04T10:17:17.4103803Z 
2025-12-04T10:17:17.4104141Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 10:17:17.410054][3897.109342327], took 0.14min
2025-12-04T10:17:20.1321892Z W1204 10:17:20.131000 51480 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:17:21.5851735Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 10:17:21.584702][3901.28398745]
2025-12-04T10:17:21.5852312Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:21.5854383Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:21.585140]
2025-12-04T10:17:25.4472904Z 
2025-12-04T10:17:25.4474616Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_8602e6642e6588be_.log
2025-12-04T10:17:25.4476290Z Running 0 items in this shard:
2025-12-04T10:17:25.4476679Z 
2025-12-04T10:17:25.4477582Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 10:17:25.447173][3905.146457772], took 0.06min
2025-12-04T10:17:25.4738731Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-4cfbb65c14ab7e9f.xml
2025-12-04T10:17:27.9197993Z W1204 10:17:27.919000 51904 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:17:29.2802408Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 10:17:29.279752][3908.979036889]
2025-12-04T10:17:29.2803411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:29.2806664Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_debug_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:29.280239]
2025-12-04T10:17:38.4562771Z 
2025-12-04T10:17:38.4564249Z inductor/test_debug_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_debug_trace_1.1_a37974b82f898aed_.log
2025-12-04T10:17:38.4565106Z Running 0 items in this shard:
2025-12-04T10:17:38.4565321Z 
2025-12-04T10:17:38.4565633Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 10:17:38.456197][3918.155482228], took 0.15min
2025-12-04T10:17:38.4826188Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-e1e89a72b408a5d7.xml
2025-12-04T10:17:40.9518731Z W1204 10:17:40.951000 52761 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:17:42.3835327Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 10:17:42.383127][3922.082412644]
2025-12-04T10:17:42.3835867Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:42.3838675Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:42.383574]
2025-12-04T10:17:46.2464266Z 
2025-12-04T10:17:46.2465327Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_94fa3b3e34176ab1_.log
2025-12-04T10:17:46.2466239Z Running 0 items in this shard:
2025-12-04T10:17:46.2466438Z 
2025-12-04T10:17:46.2466757Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 10:17:46.246439][3925.945721338], took 0.06min
2025-12-04T10:17:46.2922525Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-e286982d37d0f255.xml
2025-12-04T10:17:48.7568691Z W1204 10:17:48.756000 53246 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:17:50.1634497Z Running inductor/test_foreach 1/1 ... [2025-12-04 10:17:50.162986][3929.862271178]
2025-12-04T10:17:50.1635561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:17:50.1638259Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:50.163422]
2025-12-04T10:18:00.0358441Z 
2025-12-04T10:18:00.0360223Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_9aa0d6aa5cbdf0f3_.log
2025-12-04T10:18:00.0361072Z Running 0 items in this shard:
2025-12-04T10:18:00.0361271Z 
2025-12-04T10:18:00.0361582Z Finished inductor/test_foreach 1/1 ... [2025-12-04 10:18:00.035792][3939.735076011], took 0.16min
2025-12-04T10:18:00.0850778Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-64a4e469ebd12dbb.xml
2025-12-04T10:18:02.5658951Z W1204 10:18:02.565000 54166 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:18:03.9419549Z Running export/test_tree_utils 1/1 ... [2025-12-04 10:18:03.941491][3943.640775748]
2025-12-04T10:18:03.9420561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:03.9423030Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tree_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:03.941910]
2025-12-04T10:18:07.5589184Z 
2025-12-04T10:18:07.5590644Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_65b82644e8035c19_.log
2025-12-04T10:18:07.5591606Z Running 0 items in this shard:
2025-12-04T10:18:07.5591925Z 
2025-12-04T10:18:07.5592228Z Finished export/test_tree_utils 1/1 ... [2025-12-04 10:18:07.558836][3947.258121248], took 0.06min
2025-12-04T10:18:07.5867599Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tree_utils/export.test_tree_utils-1f624275d2714ddd.xml
2025-12-04T10:18:10.1036915Z W1204 10:18:10.102000 54539 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:18:11.4643874Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:18:11.463879][3951.163164406]
2025-12-04T10:18:11.4644931Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:11.4648244Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_static_cuda_launcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:11.464377]
2025-12-04T10:18:20.0552760Z 
2025-12-04T10:18:20.0554481Z inductor/test_static_cuda_launcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_static_cuda_launcher_1.1_c68bda1ef9e7399f_.log
2025-12-04T10:18:20.0555936Z Running 0 items in this shard:
2025-12-04T10:18:20.0556259Z 
2025-12-04T10:18:20.0556869Z Finished inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:18:20.055210][3959.754494413], took 0.14min
2025-12-04T10:18:20.0823205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_static_cuda_launcher/inductor.test_static_cuda_launcher-04d693b14a067737.xml
2025-12-04T10:18:22.6291594Z W1204 10:18:22.628000 55396 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:18:24.0273268Z Running export/test_dynamic_shapes 1/1 ... [2025-12-04 10:18:24.026801][3963.726086002]
2025-12-04T10:18:24.0274118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:24.0275748Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:24.027261]
2025-12-04T10:18:27.4223070Z 
2025-12-04T10:18:27.4224388Z export/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_dynamic_shapes_1.1_81051a5c9d0310cc_.log
2025-12-04T10:18:27.4225250Z Running 0 items in this shard:
2025-12-04T10:18:27.4225461Z 
2025-12-04T10:18:27.4225788Z Finished export/test_dynamic_shapes 1/1 ... [2025-12-04 10:18:27.422204][3967.121482769], took 0.06min
2025-12-04T10:18:27.4738914Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_dynamic_shapes/export.test_dynamic_shapes-19be7552e2a38aa8.xml
2025-12-04T10:18:29.9311601Z W1204 10:18:29.930000 55799 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:18:31.3633296Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 10:18:31.362878][3971.062162695]
2025-12-04T10:18:31.3634024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:31.3636456Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:31.363316]
2025-12-04T10:18:35.2827345Z 
2025-12-04T10:18:35.2828354Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_d0f6e459a957546d_.log
2025-12-04T10:18:35.2829266Z Running 0 items in this shard:
2025-12-04T10:18:35.2829565Z 
2025-12-04T10:18:35.2829856Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 10:18:35.282655][3974.981939338], took 0.07min
2025-12-04T10:18:35.3102958Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sdpa/dynamo.test_sdpa-ea1cf6c98675e38a.xml
2025-12-04T10:18:37.8375610Z W1204 10:18:37.836000 56284 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:18:39.1891141Z Running dynamo/test_utils 1/1 ... [2025-12-04 10:18:39.188640][3978.887924025]
2025-12-04T10:18:39.1891677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:39.1894591Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:39.189111]
2025-12-04T10:18:42.6707713Z 
2025-12-04T10:18:42.6708608Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_579b502e2449ca81_.log
2025-12-04T10:18:42.6709407Z Running 0 items in this shard:
2025-12-04T10:18:42.6709617Z 
2025-12-04T10:18:42.6709895Z Finished dynamo/test_utils 1/1 ... [2025-12-04 10:18:42.670635][3982.369921317], took 0.06min
2025-12-04T10:18:42.6985519Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-8e32684d9dae9286.xml
2025-12-04T10:18:45.1728343Z W1204 10:18:45.171000 56735 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:18:46.5867438Z Running inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:18:46.586256][3986.285540991]
2025-12-04T10:18:46.5868556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:46.5871206Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_provenance_tracing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:46.586766]
2025-12-04T10:18:55.6765761Z 
2025-12-04T10:18:55.6767127Z 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_df5bbf4ddf464fd4_.log
2025-12-04T10:18:55.6768495Z Running 0 items in this shard:
2025-12-04T10:18:55.6768832Z 
2025-12-04T10:18:55.6769388Z Finished inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:18:55.676448][3995.37573463], took 0.15min
2025-12-04T10:18:55.7054388Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-788bde9e722394f8.xml
2025-12-04T10:18:58.2089260Z W1204 10:18:58.208000 57577 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:18:59.6024381Z Running inductor/test_combo_kernels 1/1 ... [2025-12-04 10:18:59.601979][3999.301264127]
2025-12-04T10:18:59.6025413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:18:59.6028247Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:59.602423]
2025-12-04T10:19:08.8967867Z 
2025-12-04T10:19:08.8969109Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_63cca30aae5dbe61_.log
2025-12-04T10:19:08.8970032Z Running 0 items in this shard:
2025-12-04T10:19:08.8970245Z 
2025-12-04T10:19:08.8970571Z Finished inductor/test_combo_kernels 1/1 ... [2025-12-04 10:19:08.896725][4008.596008323], took 0.15min
2025-12-04T10:19:08.9253759Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_combo_kernels/inductor.test_combo_kernels-903a24e05e7440ae.xml
2025-12-04T10:19:11.4658460Z W1204 10:19:11.465000 58338 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:19:12.8595658Z Running inductor/test_codegen_triton 1/1 ... [2025-12-04 10:19:12.859060][4012.558346087]
2025-12-04T10:19:12.8596603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:19:12.8599424Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_codegen_triton.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:12.859528]
2025-12-04T10:19:21.5902039Z 
2025-12-04T10:19:21.5903680Z inductor/test_codegen_triton 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codegen_triton_1.1_0aec675526e7bb00_.log
2025-12-04T10:19:21.5905303Z Running 0 items in this shard:
2025-12-04T10:19:21.5905653Z 
2025-12-04T10:19:21.5906248Z Finished inductor/test_codegen_triton 1/1 ... [2025-12-04 10:19:21.590047][4021.289330339], took 0.15min
2025-12-04T10:19:21.6194246Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_codegen_triton/inductor.test_codegen_triton-3c129cb56bc5cb9a.xml
2025-12-04T10:19:24.1282989Z W1204 10:19:24.127000 59199 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:19:25.4969394Z Running dynamo/test_frame_init 1/1 ... [2025-12-04 10:19:25.496434][4025.195719192]
2025-12-04T10:19:25.4970343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:19:25.4973101Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_frame_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:25.496900]
2025-12-04T10:19:29.0618476Z 
2025-12-04T10:19:29.0619814Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_c1501b389bb98549_.log
2025-12-04T10:19:29.0622190Z Running 0 items in this shard:
2025-12-04T10:19:29.0622392Z 
2025-12-04T10:19:29.0622817Z Finished dynamo/test_frame_init 1/1 ... [2025-12-04 10:19:29.061751][4028.761036589], took 0.06min
2025-12-04T10:19:29.0918879Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-c2169d2d8dcade8a.xml
2025-12-04T10:19:31.8342070Z W1204 10:19:31.833000 59680 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:19:33.2299250Z Running inductor/test_device_assert 1/1 ... [2025-12-04 10:19:33.229436][4032.92872004]
2025-12-04T10:19:33.2299955Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:19:33.2302226Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_device_assert.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:33.229878]
2025-12-04T10:19:41.9166662Z 
2025-12-04T10:19:41.9167725Z inductor/test_device_assert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_device_assert_1.1_c073341fa31f1b4e_.log
2025-12-04T10:19:41.9168669Z Running 0 items in this shard:
2025-12-04T10:19:41.9168883Z 
2025-12-04T10:19:41.9169210Z Finished inductor/test_device_assert 1/1 ... [2025-12-04 10:19:41.916586][4041.615872135], took 0.14min
2025-12-04T10:19:41.9455770Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_device_assert/inductor.test_device_assert-8509e32a4963917d.xml
2025-12-04T10:19:44.4179357Z W1204 10:19:44.417000 60441 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:19:45.7937155Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:19:45.793287][4045.492573027]
2025-12-04T10:19:45.7937717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:19:45.7940608Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:45.793725]
2025-12-04T10:19:49.6888723Z 
2025-12-04T10:19:49.6889956Z 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_2b3328ba3bc0bb34_.log
2025-12-04T10:19:49.6891085Z Running 0 items in this shard:
2025-12-04T10:19:49.6891303Z 
2025-12-04T10:19:49.6891624Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:19:49.688748][4049.388027203], took 0.06min
2025-12-04T10:19:49.7197027Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-74e6d880bae6e9dc.xml
2025-12-04T10:19:52.2682219Z W1204 10:19:52.267000 60917 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:19:53.6166837Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:19:53.616272][4053.315557783]
2025-12-04T10:19:53.6167405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:19:53.6170113Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:53.616725]
2025-12-04T10:19:57.4007808Z 
2025-12-04T10:19:57.4009933Z 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_4bf9faf5a50be630_.log
2025-12-04T10:19:57.4011957Z Running 0 items in this shard:
2025-12-04T10:19:57.4012340Z 
2025-12-04T10:19:57.4012932Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:19:57.400616][4057.099899874], took 0.06min
2025-12-04T10:19:57.4303641Z 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-6db50f6544d1b1a5.xml
2025-12-04T10:19:59.9741733Z W1204 10:19:59.973000 61376 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:20:01.3344924Z Running dynamo/test_interop 1/1 ... [2025-12-04 10:20:01.334052][4061.033338186]
2025-12-04T10:20:01.3345471Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:20:01.3348250Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:20:01.334518]
2025-12-04T10:20:05.2064126Z 
2025-12-04T10:20:05.2065549Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_981b86f4a72e709d_.log
2025-12-04T10:20:05.2066775Z Running 0 items in this shard:
2025-12-04T10:20:05.2067157Z 
2025-12-04T10:20:05.2067549Z Finished dynamo/test_interop 1/1 ... [2025-12-04 10:20:05.206411][4064.905695039], took 0.06min
2025-12-04T10:20:05.2575697Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_interop/dynamo.test_interop-bc0bdaa5e45aef2f.xml
2025-12-04T10:20:07.7930217Z W1204 10:20:07.792000 61861 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:20:09.2160002Z Running functorch/test_eager_transforms 1/1 ... [2025-12-04 10:20:09.215525][4068.91480964]
2025-12-04T10:20:09.2160968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:20:09.2163081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:20:09.215965]
2025-12-04T10:20:14.4946800Z 
2025-12-04T10:20:14.4947840Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_43c1efc8a66d1880_.log
2025-12-04T10:20:14.4948758Z Running 0 items in this shard:
2025-12-04T10:20:14.4948970Z 
2025-12-04T10:20:14.4949316Z Finished functorch/test_eager_transforms 1/1 ... [2025-12-04 10:20:14.494712][4074.19399629], took 0.09min
2025-12-04T10:20:14.5249215Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_eager_transforms/functorch.test_eager_transforms-9ee7348b34f93b5a.xml
2025-12-04T10:20:17.0601403Z W1204 10:20:17.059000 62415 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:20:18.4233954Z Running inductor/test_control_deps 1/1 ... [2025-12-04 10:20:18.422896][4078.122180995]
2025-12-04T10:20:18.4234652Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:20:18.4236382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:20:18.423325]
2025-12-04T10:20:27.0052884Z 
2025-12-04T10:20:27.0054069Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_a2427e43726f40d9_.log
2025-12-04T10:20:27.0055638Z 
2025-12-04T10:20:27.0056117Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 10:20:27.005175][4086.704461554], took 0.14min
2025-12-04T10:20:29.4727625Z W1204 10:20:29.471000 63176 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:20:30.8504548Z Running inductor/test_benchmarking 1/1 ... [2025-12-04 10:20:30.850030][4090.54931444]
2025-12-04T10:20:30.8505132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:20:30.8508366Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:20:30.850472]
2025-12-04T10:20:39.7168114Z 
2025-12-04T10:20:39.7169299Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_a9ca30d7aaf58eb8_.log
2025-12-04T10:20:39.7170324Z Running 0 items in this shard:
2025-12-04T10:20:39.7170596Z 
2025-12-04T10:20:39.7171238Z Finished inductor/test_benchmarking 1/1 ... [2025-12-04 10:20:39.716647][4099.415934253], took 0.15min
2025-12-04T10:20:39.7478449Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmarking/inductor.test_benchmarking-8d680b37de802645.xml
2025-12-04T10:20:42.1392958Z W1204 10:20:42.138000 63985 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:20:43.4820334Z Running inductor/test_helion_kernels 1/1 ... [2025-12-04 10:20:43.481584][4103.180865959]
2025-12-04T10:20:43.4820903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:20:43.4824396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:20:43.482109]
2025-12-04T10:20:52.3996386Z 
2025-12-04T10:20:52.3997775Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_17c10bf674fb0b71_.log
2025-12-04T10:20:52.3998788Z Running 0 items in this shard:
2025-12-04T10:20:52.3999007Z 
2025-12-04T10:20:52.3999446Z Finished inductor/test_helion_kernels 1/1 ... [2025-12-04 10:20:52.399514][4112.098799064], took 0.15min
2025-12-04T10:20:52.4299782Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_helion_kernels/inductor.test_helion_kernels-4fe5a5780567f643.xml
2025-12-04T10:20:54.9253121Z W1204 10:20:54.924000 64746 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:20:56.2838170Z Running inductor/test_best_config 1/1 ... [2025-12-04 10:20:56.283300][4115.98258513]
2025-12-04T10:20:56.2838721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:20:56.2841150Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:20:56.283759]
2025-12-04T10:21:04.9255212Z 
2025-12-04T10:21:04.9256639Z 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_b8e89b09945c0820_.log
2025-12-04T10:21:04.9257812Z 
2025-12-04T10:21:04.9258323Z Finished inductor/test_best_config 1/1 ... [2025-12-04 10:21:04.925379][4124.624657679], took 0.14min
2025-12-04T10:21:07.3807809Z W1204 10:21:07.379000 65603 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:21:08.7603837Z Running export/test_tools 1/1 ... [2025-12-04 10:21:08.759757][4128.459034897]
2025-12-04T10:21:08.7605011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:21:08.7613005Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tools.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:08.760743]
2025-12-04T10:21:12.6810099Z 
2025-12-04T10:21:12.6811347Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_68c1cd0a532fc613_.log
2025-12-04T10:21:12.6812712Z Running 0 items in this shard:
2025-12-04T10:21:12.6812961Z 
2025-12-04T10:21:12.6813265Z Finished export/test_tools 1/1 ... [2025-12-04 10:21:12.680934][4132.380220665], took 0.07min
2025-12-04T10:21:12.7116894Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tools/export.test_tools-ae84ff79bd180b7b.xml
2025-12-04T10:21:15.1689472Z W1204 10:21:15.168000 66066 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:21:16.5831609Z Running inductor/test_compiled_optimizers 1/1 ... [2025-12-04 10:21:16.582667][4136.281952517]
2025-12-04T10:21:16.5832511Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:21:16.5834787Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:16.583128]
2025-12-04T10:21:28.1599760Z 
2025-12-04T10:21:28.1601269Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_4a675cd01cb8c382_.log
2025-12-04T10:21:28.1602249Z Running 0 items in this shard:
2025-12-04T10:21:28.1602720Z 
2025-12-04T10:21:28.1603087Z Finished inductor/test_compiled_optimizers 1/1 ... [2025-12-04 10:21:28.159917][4147.8592005], took 0.19min
2025-12-04T10:21:28.1910617Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-c39efcc163200150.xml
2025-12-04T10:21:30.7386070Z W1204 10:21:30.737000 67048 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:21:32.1087421Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 10:21:32.108309][4151.807594244]
2025-12-04T10:21:32.1088222Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:21:32.1091370Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_custom_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:32.108743]
2025-12-04T10:21:41.0665431Z 
2025-12-04T10:21:41.0666608Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_1b90738093ae9a2e_.log
2025-12-04T10:21:41.0667457Z 
2025-12-04T10:21:41.0667841Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 10:21:41.066481][4160.765763975], took 0.15min
2025-12-04T10:21:43.5630019Z W1204 10:21:43.562000 67857 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:21:44.9503139Z Running inductor/test_profiler 1/1 ... [2025-12-04 10:21:44.949821][4164.649106306]
2025-12-04T10:21:44.9504287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:21:44.9506545Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:44.950275]
2025-12-04T10:21:53.5442220Z 
2025-12-04T10:21:53.5443262Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_7f4c073beab7cb97_.log
2025-12-04T10:21:53.5444023Z 
2025-12-04T10:21:53.5444339Z Finished inductor/test_profiler 1/1 ... [2025-12-04 10:21:53.544123][4173.243403229], took 0.14min
2025-12-04T10:21:56.0484240Z W1204 10:21:56.047000 68618 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:21:57.4287718Z Running export/test_export_opinfo 1/1 ... [2025-12-04 10:21:57.428323][4177.127607669]
2025-12-04T10:21:57.4288416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:21:57.4291221Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:57.428771]
2025-12-04T10:22:02.4576838Z 
2025-12-04T10:22:02.4577847Z 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_ae9bfaf3ad907880_.log
2025-12-04T10:22:02.4578728Z Running 0 items in this shard:
2025-12-04T10:22:02.4578938Z 
2025-12-04T10:22:02.4579250Z Finished export/test_export_opinfo 1/1 ... [2025-12-04 10:22:02.457508][4182.156794629], took 0.08min
2025-12-04T10:22:02.4890116Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_opinfo/export.test_export_opinfo-a1e7ae951fb2cc0d.xml
2025-12-04T10:22:05.0304542Z W1204 10:22:05.029000 69214 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:22:06.4872245Z Running inductor/test_dependencies 1/1 ... [2025-12-04 10:22:06.486805][4186.186089073]
2025-12-04T10:22:06.4872818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:22:06.4876231Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_dependencies.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:06.487282]
2025-12-04T10:22:15.1983128Z 
2025-12-04T10:22:15.1984218Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_05f0bbeffe709b6e_.log
2025-12-04T10:22:15.1985023Z 
2025-12-04T10:22:15.1985363Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 10:22:15.198175][4194.897460817], took 0.15min
2025-12-04T10:22:17.7083672Z W1204 10:22:17.707000 69996 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:22:19.0710503Z Running dynamo/test_cudagraphs 1/1 ... [2025-12-04 10:22:19.070600][4198.769885636]
2025-12-04T10:22:19.0711066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:22:19.0714020Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:19.071064]
2025-12-04T10:22:22.6567312Z 
2025-12-04T10:22:22.6568557Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_ee48fb235994eb91_.log
2025-12-04T10:22:22.6569308Z 
2025-12-04T10:22:22.6569619Z Finished dynamo/test_cudagraphs 1/1 ... [2025-12-04 10:22:22.656670][4202.355951968], took 0.06min
2025-12-04T10:22:25.1250089Z W1204 10:22:25.124000 70459 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:22:26.5369906Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:22:26.536544][4206.235829193]
2025-12-04T10:22:26.5370732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:22:26.5373391Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:26.536986]
2025-12-04T10:22:35.0551441Z 
2025-12-04T10:22:35.0552842Z 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_798b2b3c5bc00b31_.log
2025-12-04T10:22:35.0553683Z 
2025-12-04T10:22:35.0554083Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:22:35.055022][4214.754306805], took 0.14min
2025-12-04T10:22:37.5913904Z W1204 10:22:37.590000 71268 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:22:38.9424959Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 10:22:38.941916][4218.641200433]
2025-12-04T10:22:38.9425510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:22:38.9426913Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:38.942397]
2025-12-04T10:22:42.9880279Z 
2025-12-04T10:22:42.9881233Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_42ef5d1b0440d3b5_.log
2025-12-04T10:22:42.9882322Z Running 0 items in this shard:
2025-12-04T10:22:42.9882533Z 
2025-12-04T10:22:42.9882841Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 10:22:42.987916][4222.6872022], took 0.07min
2025-12-04T10:22:43.0197291Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_debug_utils/dynamo.test_debug_utils-9e24baeb557c7a0d.xml
2025-12-04T10:22:45.4701142Z W1204 10:22:45.469000 71672 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:22:46.8803620Z Running dynamo/test_package 1/1 ... [2025-12-04 10:22:46.879904][4226.579189595]
2025-12-04T10:22:46.8804184Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:22:46.8806526Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:46.880334]
2025-12-04T10:22:55.4785945Z 
2025-12-04T10:22:55.4787152Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_8f0febc397e19281_.log
2025-12-04T10:22:55.4788228Z Running 0 items in this shard:
2025-12-04T10:22:55.4788523Z 
2025-12-04T10:22:55.4788932Z Finished dynamo/test_package 1/1 ... [2025-12-04 10:22:55.478498][4235.177784094], took 0.14min
2025-12-04T10:22:55.5104244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_package/dynamo.test_package-f94708c29e92f9df.xml
2025-12-04T10:22:57.9600915Z W1204 10:22:57.959000 72514 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:22:59.3685880Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 10:22:59.368077][4239.067362233]
2025-12-04T10:22:59.3687031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:22:59.3690535Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:59.368590]
2025-12-04T10:23:08.2224837Z 
2025-12-04T10:23:08.2225917Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_20ec6d6309d00eca_.log
2025-12-04T10:23:08.2226899Z Running 0 items in this shard:
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2025-12-04T10:23:08.2227480Z Finished inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 10:23:08.222274][4247.921556874], took 0.15min
2025-12-04T10:23:08.2827096Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_efficient_conv_bn_eval/inductor.test_efficient_conv_bn_eval-9eddd6ba94322dfd.xml
2025-12-04T10:23:10.8006256Z W1204 10:23:10.799000 73371 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:23:12.1832691Z Running inductor/test_torchbind 1/1 ... [2025-12-04 10:23:12.182741][4251.882022538]
2025-12-04T10:23:12.1833264Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:23:12.1836939Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:12.183293]
2025-12-04T10:23:20.8971787Z 
2025-12-04T10:23:20.8973363Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_f76a9f58e1fcf303_.log
2025-12-04T10:23:20.8975330Z Running 0 items in this shard:
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2025-12-04T10:23:20.8976276Z Finished inductor/test_torchbind 1/1 ... [2025-12-04 10:23:20.897088][4260.596372045], took 0.15min
2025-12-04T10:23:20.9375531Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchbind/inductor.test_torchbind-4e0ff859b4894993.xml
2025-12-04T10:23:23.4571696Z W1204 10:23:23.456000 74180 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:23:24.8074054Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:23:24.806967][4264.506252708]
2025-12-04T10:23:24.8074666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:23:24.8077292Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:24.807410]
2025-12-04T10:23:29.0067931Z 
2025-12-04T10:23:29.0069440Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_a8314452c2c0132b_.log
2025-12-04T10:23:29.0070605Z Running 0 items in this shard:
2025-12-04T10:23:29.0070812Z 
2025-12-04T10:23:29.0071188Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:23:29.006656][4268.705942813], took 0.07min
2025-12-04T10:23:29.0593771Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_dispatcher/dynamo.test_python_dispatcher-bb310c0009d294de.xml
2025-12-04T10:23:31.6135057Z W1204 10:23:31.612000 74623 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:23:33.0491099Z Running export/test_swap 1/1 ... [2025-12-04 10:23:33.048652][4272.74793662]
2025-12-04T10:23:33.0491951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:23:33.0495001Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_swap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:33.049156]
2025-12-04T10:23:36.7234406Z 
2025-12-04T10:23:36.7235817Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_3c172652314dea49_.log
2025-12-04T10:23:36.7237269Z Running 0 items in this shard:
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2025-12-04T10:23:36.7238165Z Finished export/test_swap 1/1 ... [2025-12-04 10:23:36.723365][4276.422650171], took 0.06min
2025-12-04T10:23:36.7554962Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_swap/export.test_swap-4254dc39f10ec2d1.xml
2025-12-04T10:23:39.2498639Z W1204 10:23:39.249000 75019 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:23:40.6674581Z Running export/test_unflatten 1/1 ... [2025-12-04 10:23:40.666967][4280.366252122]
2025-12-04T10:23:40.6675581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:23:40.6678042Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:40.667411]
2025-12-04T10:23:44.2146922Z 
2025-12-04T10:23:44.2147881Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_875adb3184851c97_.log
2025-12-04T10:23:44.2148715Z Running 0 items in this shard:
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2025-12-04T10:23:44.2149461Z Finished export/test_unflatten 1/1 ... [2025-12-04 10:23:44.214548][4283.913833609], took 0.06min
2025-12-04T10:23:44.2469988Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-3be86aecd6bb3f96.xml
2025-12-04T10:23:46.6590136Z W1204 10:23:46.658000 75425 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:23:48.0651854Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:23:48.064768][4287.764053738]
2025-12-04T10:23:48.0652443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:23:48.0655337Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:48.065203]
2025-12-04T10:23:51.8846768Z 
2025-12-04T10:23:51.8848300Z 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_8c80c69183575ec6_.log
2025-12-04T10:23:51.8849206Z Running 0 items in this shard:
2025-12-04T10:23:51.8849420Z 
2025-12-04T10:23:51.8849761Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:23:51.884542][4291.583827895], took 0.06min
2025-12-04T10:23:51.9421823Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-1ea5c70739c115c7.xml
2025-12-04T10:23:54.3926172Z W1204 10:23:54.391000 75949 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:23:55.7574647Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 10:23:55.756955][4295.456241235]
2025-12-04T10:23:55.7575402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:23:55.7577532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:55.757424]
2025-12-04T10:23:59.7390023Z 
2025-12-04T10:23:59.7391326Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_8439921f7c162d25_.log
2025-12-04T10:23:59.7392434Z 
2025-12-04T10:23:59.7392841Z Finished dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 10:23:59.738713][4299.437999063], took 0.07min
2025-12-04T10:24:02.2368793Z W1204 10:24:02.236000 76418 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:24:03.6711944Z Running inductor/test_caching 1/1 ... [2025-12-04 10:24:03.670746][4303.370030724]
2025-12-04T10:24:03.6712568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:24:03.6715442Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_caching.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:03.671213]
2025-12-04T10:24:07.5735716Z 
2025-12-04T10:24:07.5737055Z inductor/test_caching 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_caching_1.1_e678a5a943344eeb_.log
2025-12-04T10:24:07.5738049Z Running 0 items in this shard:
2025-12-04T10:24:07.5738251Z 
2025-12-04T10:24:07.5738672Z Finished inductor/test_caching 1/1 ... [2025-12-04 10:24:07.573370][4307.272656112], took 0.07min
2025-12-04T10:24:07.6071905Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_caching/inductor.test_caching-b189d449bb3a9a5a.xml
2025-12-04T10:24:10.0463124Z W1204 10:24:10.045000 76842 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:24:11.4446965Z Running export/test_hop 1/1 ... [2025-12-04 10:24:11.444211][4311.143496062]
2025-12-04T10:24:11.4447498Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:24:11.4449500Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:11.444639]
2025-12-04T10:24:16.0908908Z 
2025-12-04T10:24:16.0909857Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_fd47a794e4f07486_.log
2025-12-04T10:24:16.0910660Z Running 0 items in this shard:
2025-12-04T10:24:16.0910873Z 
2025-12-04T10:24:16.0911165Z Finished export/test_hop 1/1 ... [2025-12-04 10:24:16.090815][4315.790101315], took 0.08min
2025-12-04T10:24:16.1263885Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_hop/export.test_hop-54c0b2f0a54b0fd1.xml
2025-12-04T10:24:18.7291797Z W1204 10:24:18.728000 77438 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:24:20.0880367Z Running export/test_export 1/1 ... [2025-12-04 10:24:20.087618][4319.786902745]
2025-12-04T10:24:20.0881167Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:24:20.0884145Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:20.088104]
2025-12-04T10:24:29.6424420Z 
2025-12-04T10:24:29.6425355Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_a3ec85e8f38f9658_.log
2025-12-04T10:24:29.6426163Z Running 0 items in this shard:
2025-12-04T10:24:29.6426379Z 
2025-12-04T10:24:29.6426671Z Finished export/test_export 1/1 ... [2025-12-04 10:24:29.642303][4329.341586891], took 0.16min
2025-12-04T10:24:29.6896225Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-396472e212028faa.xml
2025-12-04T10:24:32.2359593Z W1204 10:24:32.235000 78239 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:24:33.5978898Z Running test_model_exports_to_core_aten 1/1 ... [2025-12-04 10:24:33.597390][4333.29667134]
2025-12-04T10:24:33.5979898Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:24:33.5983518Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:33.597933]
2025-12-04T10:27:54.2554327Z 
2025-12-04T10:27:54.2555916Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_d4dba9015605bb3f_.log
2025-12-04T10:27:54.2612291Z Running 50 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export
2025-12-04T10:27:54.2660403Z 
2025-12-04T10:27:54.2660902Z Finished test_model_exports_to_core_aten 1/1 ... [2025-12-04 10:27:54.255420][4533.954702907], took 3.34min
2025-12-04T10:27:54.3672180Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_model_exports_to_core_aten/test_model_exports_to_core_aten-d1313d9d720b4313.xml
2025-12-04T10:27:56.9598186Z W1204 10:27:56.959000 88999 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:27:59.0024753Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 10:27:59.001985][4538.701269571]
2025-12-04T10:27:59.0025349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:59.0027899Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:59.002435]
2025-12-04T10:28:07.8099558Z 
2025-12-04T10:28:07.8100712Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_2780a23675f84f23_.log
2025-12-04T10:28:07.8101738Z Running 0 items in this shard:
2025-12-04T10:28:07.8101936Z 
2025-12-04T10:28:07.8102293Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 10:28:07.809959][4547.509241619], took 0.15min
2025-12-04T10:28:07.8435425Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_precompile_context/dynamo.test_precompile_context-48c0cd1b4fd101d7.xml
2025-12-04T10:28:10.3422045Z W1204 10:28:10.341000 89808 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:11.7168126Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 10:28:11.716324][4551.415608878]
2025-12-04T10:28:11.7169161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:11.7172887Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:11.716765]
2025-12-04T10:28:15.3229574Z 
2025-12-04T10:28:15.3230593Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_d06103df10ae3d81_.log
2025-12-04T10:28:15.3248736Z Running 50 items in this shard: test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated
2025-12-04T10:28:15.3266228Z 
2025-12-04T10:28:15.3266533Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 10:28:15.322919][4555.022204181], took 0.06min
2025-12-04T10:28:15.3851082Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_trace_rules/dynamo.test_trace_rules-d526776a0f787217.xml
2025-12-04T10:28:17.7895953Z W1204 10:28:17.788000 90212 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:19.1947156Z Running export/test_upgrader 1/1 ... [2025-12-04 10:28:19.194312][4558.893597681]
2025-12-04T10:28:19.1947707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:19.1950813Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:19.194779]
2025-12-04T10:28:22.6825082Z 
2025-12-04T10:28:22.6826173Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_985058169f5de52c_.log
2025-12-04T10:28:22.6827169Z Running 0 items in this shard:
2025-12-04T10:28:22.6827674Z 
2025-12-04T10:28:22.6828077Z Finished export/test_upgrader 1/1 ... [2025-12-04 10:28:22.682399][4562.381682844], took 0.06min
2025-12-04T10:28:22.7167539Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_upgrader/export.test_upgrader-0be71e909d4fc449.xml
2025-12-04T10:28:25.2146489Z W1204 10:28:25.213000 90695 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:26.6069460Z Running dynamo/test_hooks 1/1 ... [2025-12-04 10:28:26.606473][4566.305757609]
2025-12-04T10:28:26.6070353Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:26.6073838Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:26.606965]
2025-12-04T10:28:30.4546343Z 
2025-12-04T10:28:30.4547559Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_73dc7c4342a2a640_.log
2025-12-04T10:28:30.4548814Z Running 0 items in this shard:
2025-12-04T10:28:30.4549172Z 
2025-12-04T10:28:30.4549733Z Finished dynamo/test_hooks 1/1 ... [2025-12-04 10:28:30.454602][4570.153884659], took 0.06min
2025-12-04T10:28:30.4887799Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_hooks/dynamo.test_hooks-52d19f1116f4b8b7.xml
2025-12-04T10:28:33.0337332Z W1204 10:28:33.032000 91255 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:34.4596228Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 10:28:34.459150][4574.15843553]
2025-12-04T10:28:34.4597200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:34.4600506Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:34.459590]
2025-12-04T10:28:38.2868717Z 
2025-12-04T10:28:38.2870081Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_1121d7d3f1f15cc4_.log
2025-12-04T10:28:38.2871198Z Running 0 items in this shard:
2025-12-04T10:28:38.2871403Z 
2025-12-04T10:28:38.2871728Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 10:28:38.286861][4577.986142188], took 0.06min
2025-12-04T10:28:38.3498014Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_reorder_logs/dynamo.test_reorder_logs-e087738e8d93c307.xml
2025-12-04T10:28:40.8018762Z W1204 10:28:40.801000 91679 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:42.1647477Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 10:28:42.164254][4581.863540277]
2025-12-04T10:28:42.1648471Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:42.1652268Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:42.164783]
2025-12-04T10:28:51.0304812Z 
2025-12-04T10:28:51.0306016Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_708c885c5b7f7227_.log
2025-12-04T10:28:51.0307769Z Running 0 items in this shard:
2025-12-04T10:28:51.0307977Z 
2025-12-04T10:28:51.0308297Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 10:28:51.030346][4590.729630418], took 0.15min
2025-12-04T10:28:51.0645319Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_subclasses/dynamo.test_subclasses-dbc7ad48e12d9ff9.xml
2025-12-04T10:28:53.5252616Z W1204 10:28:53.524000 92344 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:54.8983881Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:28:54.897919][4594.597204828]
2025-12-04T10:28:54.8984874Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:54.8987824Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:54.898364]
2025-12-04T10:28:58.8448677Z 
2025-12-04T10:28:58.8449880Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_67fc7f9efc85a410_.log
2025-12-04T10:28:58.8450761Z Running 0 items in this shard:
2025-12-04T10:28:58.8450975Z 
2025-12-04T10:28:58.8451283Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:28:58.844782][4598.544066427], took 0.07min
2025-12-04T10:28:58.9028653Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-6d08ea10b549869a.xml
2025-12-04T10:29:01.3441694Z W1204 10:29:01.343000 92807 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:02.7828971Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:29:02.782458][4602.481743037]
2025-12-04T10:29:02.7829839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:02.7832677Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:02.782894]
2025-12-04T10:29:06.6482812Z 
2025-12-04T10:29:06.6484473Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_31b0f3d7da45a969_.log
2025-12-04T10:29:06.6485564Z Running 0 items in this shard:
2025-12-04T10:29:06.6485808Z 
2025-12-04T10:29:06.6502481Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:29:06.648183][4606.347468962], took 0.06min
2025-12-04T10:29:06.7094596Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_generator/dynamo.test_generator-a5ddbb55638f0a91.xml
2025-12-04T10:29:09.2180058Z W1204 10:29:09.217000 93386 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:10.5950859Z Running export/test_lift_unlift 1/1 ... [2025-12-04 10:29:10.594626][4610.293911265]
2025-12-04T10:29:10.5951430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:10.5953365Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:10.595060]
2025-12-04T10:29:14.1078089Z 
2025-12-04T10:29:14.1079170Z 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_fd9d89dc73cdaea9_.log
2025-12-04T10:29:14.1080044Z Running 0 items in this shard:
2025-12-04T10:29:14.1080260Z 
2025-12-04T10:29:14.1080564Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 10:29:14.107718][4613.807004319], took 0.06min
2025-12-04T10:29:14.1436898Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-adbd03616e96687d.xml
2025-12-04T10:29:16.6069679Z W1204 10:29:16.606000 93835 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:17.9525680Z Running export/test_verifier 1/1 ... [2025-12-04 10:29:17.952172][4617.651457107]
2025-12-04T10:29:17.9526237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:17.9529058Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:17.952597]
2025-12-04T10:29:21.4779444Z 
2025-12-04T10:29:21.4780372Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_e4fafeb1e028a18b_.log
2025-12-04T10:29:21.4781284Z Running 0 items in this shard:
2025-12-04T10:29:21.4781486Z 
2025-12-04T10:29:21.4781794Z Finished export/test_verifier 1/1 ... [2025-12-04 10:29:21.477899][4621.177185069], took 0.06min
2025-12-04T10:29:21.5130207Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-c0aeffef398a28ac.xml
2025-12-04T10:29:23.9778819Z W1204 10:29:23.977000 94210 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:25.3449176Z Running export/test_sparse 1/2 ... [2025-12-04 10:29:25.344448][4625.04373299]
2025-12-04T10:29:25.3450119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:25.3452081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:25.344894]
2025-12-04T10:29:29.3124479Z 
2025-12-04T10:29:29.3125676Z export/test_sparse 1/2 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.2_a85f19efc6849813_.log
2025-12-04T10:29:29.3126894Z Running 0 items in this shard:
2025-12-04T10:29:29.3127312Z 
2025-12-04T10:29:29.3127851Z Finished export/test_sparse 1/2 ... [2025-12-04 10:29:29.312302][4629.011587466], took 0.07min
2025-12-04T10:29:29.3488555Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_sparse/export.test_sparse-8eb85217c22dc20a.xml
2025-12-04T10:29:31.8381316Z W1204 10:29:31.837000 94734 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:33.2488556Z Running xpu/test_fusion 1/1 ... [2025-12-04 10:29:33.248320][4632.947605546]
2025-12-04T10:29:33.2489510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:33.2491983Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:33.248759]
2025-12-04T10:29:37.1517686Z 
2025-12-04T10:29:37.1518912Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_29341e109d897c4a_.log
2025-12-04T10:29:37.1519906Z Running 0 items in this shard:
2025-12-04T10:29:37.1520249Z 
2025-12-04T10:29:37.1520665Z Finished xpu/test_fusion 1/1 ... [2025-12-04 10:29:37.151755][4636.851038764], took 0.07min
2025-12-04T10:29:37.2358429Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-6a9bdcce9504156c.xml
2025-12-04T10:29:39.6826640Z W1204 10:29:39.681000 95218 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:41.1124821Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 10:29:41.112018][4640.811303149]
2025-12-04T10:29:41.1125404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:41.1127553Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:41.112470]
2025-12-04T10:29:44.9303342Z 
2025-12-04T10:29:44.9305084Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_03d3053e8770b564_.log
2025-12-04T10:29:44.9306608Z Running 0 items in this shard:
2025-12-04T10:29:44.9306992Z 
2025-12-04T10:29:44.9308050Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 10:29:44.930223][4644.62950867], took 0.06min
2025-12-04T10:29:44.9665113Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-facb469c4bc49156.xml
2025-12-04T10:29:47.4353658Z W1204 10:29:47.434000 95707 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:48.7920934Z Running xpu/test_gemm 1/1 ... [2025-12-04 10:29:48.791711][4648.490996652]
2025-12-04T10:29:48.7921445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:48.7924777Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:48.792171]
2025-12-04T10:29:53.2588633Z 
2025-12-04T10:29:53.2590236Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_2fcc11cd7aeb88ec_.log
2025-12-04T10:29:53.2591878Z Running 0 items in this shard:
2025-12-04T10:29:53.2592243Z 
2025-12-04T10:29:53.2592677Z Finished xpu/test_gemm 1/1 ... [2025-12-04 10:29:53.258778][4652.958051963], took 0.07min
2025-12-04T10:29:53.2956370Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-0c6537d0779575e3.xml
2025-12-04T10:29:55.7568641Z W1204 10:29:55.755000 96060 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:57.1191158Z Running test_complex 1/1 ... [2025-12-04 10:29:57.118697][4656.817981792]
2025-12-04T10:29:57.1191714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:57.1194615Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:57.119140]
2025-12-04T10:30:00.9993712Z 
2025-12-04T10:30:00.9994617Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_949fe638cddb8c72_.log
2025-12-04T10:30:00.9995384Z Running 0 items in this shard:
2025-12-04T10:30:00.9996771Z 
2025-12-04T10:30:00.9997361Z Finished test_complex 1/1 ... [2025-12-04 10:30:00.999232][4660.69851825], took 0.06min
2025-12-04T10:30:01.0361398Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-c9bebdea4a70367a.xml
2025-12-04T10:30:03.5893114Z W1204 10:30:03.588000 96523 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:05.0066887Z Running functorch/test_ac 1/1 ... [2025-12-04 10:30:05.006308][4664.705593758]
2025-12-04T10:30:05.0067409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:05.0070269Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:05.006760]
2025-12-04T10:30:13.4553955Z 
2025-12-04T10:30:13.4554851Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_76171d73b0dd90b1_.log
2025-12-04T10:30:13.4555529Z 
2025-12-04T10:30:13.4555823Z Finished functorch/test_ac 1/1 ... [2025-12-04 10:30:13.455369][4673.154651764], took 0.14min
2025-12-04T10:30:16.0762598Z W1204 10:30:16.075000 97390 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:17.4403879Z Running test_numpy_interop 1/1 ... [2025-12-04 10:30:17.439946][4677.139231997]
2025-12-04T10:30:17.4404434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:17.4406806Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:17.440369]
2025-12-04T10:30:21.4159529Z 
2025-12-04T10:30:21.4160476Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_f260bc47afbca57d_.log
2025-12-04T10:30:21.4161272Z Running 0 items in this shard:
2025-12-04T10:30:21.4161723Z 
2025-12-04T10:30:21.4162028Z Finished test_numpy_interop 1/1 ... [2025-12-04 10:30:21.415603][4681.114889382], took 0.07min
2025-12-04T10:30:21.4546559Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-a7b13457d8c64c1e.xml
2025-12-04T10:30:24.0955868Z W1204 10:30:24.094000 97896 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:25.4884891Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:30:25.488033][4685.187317396]
2025-12-04T10:30:25.4885470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:25.4890314Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:25.488599]
2025-12-04T10:30:29.6224534Z 
2025-12-04T10:30:29.6225687Z 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_5e07cd0b445e580d_.log
2025-12-04T10:30:29.6227143Z Running 0 items in this shard:
2025-12-04T10:30:29.6227464Z 
2025-12-04T10:30:29.6227999Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:30:29.622392][4689.32167791], took 0.07min
2025-12-04T10:30:29.6599735Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-ca0262463763407a.xml
2025-12-04T10:30:32.1587177Z W1204 10:30:32.157000 98345 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:33.5923717Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:30:33.591945][4693.291228785]
2025-12-04T10:30:33.5924247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:33.5927759Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:33.592434]
2025-12-04T10:30:37.3768026Z 
2025-12-04T10:30:37.3769052Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_d52607f7e4a64a9c_.log
2025-12-04T10:30:37.3770149Z Running 0 items in this shard:
2025-12-04T10:30:37.3770429Z 
2025-12-04T10:30:37.3770827Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:30:37.376702][4697.075978706], took 0.06min
2025-12-04T10:30:37.4144260Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-f5a721fb9b458c9e.xml
2025-12-04T10:30:40.0846106Z W1204 10:30:40.083000 98787 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:41.5811151Z Running test_itt 1/1 ... [2025-12-04 10:30:41.580630][4701.279914364]
2025-12-04T10:30:41.5811840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:41.5815167Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_itt.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:41.581130]
2025-12-04T10:30:45.2000832Z 
2025-12-04T10:30:45.2001861Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_950a93c6ca541bb1_.log
2025-12-04T10:30:45.2002578Z Running 0 items in this shard:
2025-12-04T10:30:45.2002782Z 
2025-12-04T10:30:45.2003016Z Finished test_itt 1/1 ... [2025-12-04 10:30:45.199979][4704.899265849], took 0.06min
2025-12-04T10:30:45.2381605Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-f34d2a0a1c61a9dc.xml
2025-12-04T10:30:47.6479740Z W1204 10:30:47.647000 99236 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:49.0657993Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:30:49.065342][4708.764625745]
2025-12-04T10:30:49.0658653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:49.0662212Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:49.065861]
2025-12-04T10:30:54.0121987Z 
2025-12-04T10:30:54.0124345Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_54e8092c5ed42530_.log
2025-12-04T10:30:54.0126730Z Running 0 items in this shard:
2025-12-04T10:30:54.0127175Z 
2025-12-04T10:30:54.0128102Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:30:54.011624][4713.710904229], took 0.08min
2025-12-04T10:30:54.0861237Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_function_base/torch_np.numpy_tests.lib.test_function_base-675c561277a4ea44.xml
2025-12-04T10:30:56.7838099Z W1204 10:30:56.783000 99603 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:58.2106904Z Running test_sympy_utils 1/1 ... [2025-12-04 10:30:58.210251][4717.909534841]
2025-12-04T10:30:58.2107708Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:58.2112006Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sympy_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:58.210839]
2025-12-04T10:31:02.8148470Z 
2025-12-04T10:31:02.8149517Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_347529a312d5d7ee_.log
2025-12-04T10:31:02.8150316Z Running 0 items in this shard:
2025-12-04T10:31:02.8150529Z 
2025-12-04T10:31:02.8150812Z Finished test_sympy_utils 1/1 ... [2025-12-04 10:31:02.814781][4722.514065891], took 0.08min
2025-12-04T10:31:02.8539356Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-1a8c4440e059023a.xml
2025-12-04T10:31:05.5101786Z W1204 10:31:05.509000 100098 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:31:06.9554192Z Running test_subclass 1/1 ... [2025-12-04 10:31:06.954996][4726.654281102]
2025-12-04T10:31:06.9554703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:06.9557963Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_subclass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:06.955485]
2025-12-04T10:31:11.0211681Z 
2025-12-04T10:31:11.0212887Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_05da2cd0196ad790_.log
2025-12-04T10:31:11.0213854Z Running 0 items in this shard:
2025-12-04T10:31:11.0214142Z 
2025-12-04T10:31:11.0214602Z Finished test_subclass 1/1 ... [2025-12-04 10:31:11.021199][4730.720479874], took 0.07min
2025-12-04T10:31:11.0602424Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-8f5b92987aca5f7d.xml
2025-12-04T10:31:13.7885733Z W1204 10:31:13.787000 100622 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:31:15.2491571Z Running test_import_stats 1/1 ... [2025-12-04 10:31:15.248624][4734.947908771]
2025-12-04T10:31:15.2492537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:15.2494491Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_import_stats.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:15.249090]
2025-12-04T10:31:19.0256076Z 
2025-12-04T10:31:19.0256925Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_e7a7be4ddff1d75d_.log
2025-12-04T10:31:19.0257720Z Running 0 items in this shard:
2025-12-04T10:31:19.0257919Z 
2025-12-04T10:31:19.0258197Z Finished test_import_stats 1/1 ... [2025-12-04 10:31:19.025511][4738.724796044], took 0.06min
2025-12-04T10:31:19.0653246Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-9de6a9792f264b93.xml
2025-12-04T10:31:21.7539752Z W1204 10:31:21.753000 101006 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:31:23.1993294Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:31:23.198780][4742.89806443]
2025-12-04T10:31:23.1994325Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:23.1996873Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:23.199250]
2025-12-04T10:31:30.3686025Z 
2025-12-04T10:31:30.3687078Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_fc03a3be5ccb59e7_.log
2025-12-04T10:31:30.3688371Z Running 0 items in this shard:
2025-12-04T10:31:30.3688571Z 
2025-12-04T10:31:30.3688940Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:31:30.368480][4750.067765034], took 0.12min
2025-12-04T10:31:30.4321885Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-b00106f4a63048da.xml
2025-12-04T10:31:31.1270133Z Uploading artifacts took 0.61 seconds
2025-12-04T10:31:33.0787817Z W1204 10:31:33.078000 101670 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:31:34.5143333Z Running nn/test_parametrization 1/1 ... [2025-12-04 10:31:34.513930][4754.213215413]
2025-12-04T10:31:34.5143895Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:34.5147129Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_parametrization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:34.514383]
2025-12-04T10:31:38.8088618Z 
2025-12-04T10:31:38.8090272Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_eadde071647d855c_.log
2025-12-04T10:31:38.8145683Z Running 50 items in this shard: test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True
2025-12-04T10:31:38.8203397Z 
2025-12-04T10:31:38.8203985Z Finished nn/test_parametrization 1/1 ... [2025-12-04 10:31:38.808835][4758.50811709], took 0.07min
2025-12-04T10:31:38.8486861Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-40853e648400f2f3.xml
2025-12-04T10:31:41.5097424Z W1204 10:31:41.508000 102134 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:31:42.9381647Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 10:31:42.937703][4762.636988411]
2025-12-04T10:31:42.9382161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:31:42.9385464Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:42.938213]
2025-12-04T10:38:08.0047404Z 
2025-12-04T10:38:08.0049130Z 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_6e8f28b925bdd4ef_.log
2025-12-04T10:38:08.0093774Z Running 50 items in this shard: 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True, 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_False_is_dynamic_True
2025-12-04T10:38:08.0136898Z 
2025-12-04T10:38:08.0137607Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:38:08.004952][5147.704225663], took 27.94min
2025-12-04T10:38:08.0331129Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-987634fd2478296d.xml
2025-12-04T10:38:11.1299778Z W1204 10:38:11.129000 117724 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:12.5891926Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:38:12.588745][5152.288030417]
2025-12-04T10:38:12.5892812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:12.5896538Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:12.589233]
2025-12-04T10:38:20.0881786Z 
2025-12-04T10:38:20.0882866Z 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_107f6cab55712864_.log
2025-12-04T10:38:20.0883865Z Running 0 items in this shard:
2025-12-04T10:38:20.0884114Z 
2025-12-04T10:38:20.0884490Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:38:20.088013][5159.787299283], took 0.12min
2025-12-04T10:38:20.1046958Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-2b9bd3582008c94b.xml
2025-12-04T10:38:23.2555426Z W1204 10:38:23.254000 117961 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:24.7723258Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:38:24.771812][5164.471096896]
2025-12-04T10:38:24.7724123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:24.7728579Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:24.772345]
2025-12-04T10:38:43.5345504Z 
2025-12-04T10:38:43.5346919Z PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_6bec48ff2a085dd8_.log)
2025-12-04T10:38:43.5348942Z W1204 10:38:27.829000 118018 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:43.5350841Z Test results will be stored in test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-2e8f965030a967be.xml
2025-12-04T10:38:43.5352456Z ============================= test session starts ==============================
2025-12-04T10:38:43.5353934Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T10:38:43.5355058Z cachedir: .pytest_cache
2025-12-04T10:38:43.5356427Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T10:38:43.5357715Z rootdir: /var/lib/jenkins/workspace
2025-12-04T10:38:43.5358454Z configfile: pytest.ini
2025-12-04T10:38:43.5359560Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0
2025-12-04T10:38:43.5360484Z collecting ... collected 378 items
2025-12-04T10:38:43.5361338Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T10:38:43.5396799Z Running 50 items in this shard: test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
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2025-12-04T10:38:43.5517476Z 
2025-12-04T10:38:43.5517815Z =================================== FAILURES ===================================
2025-12-04T10:38:43.5518956Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.5520302Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.5521718Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.5523406Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.5529699Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.5535841Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.5537794Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.5539813Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.5541813Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.5543817Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.5545934Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.5548081Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.5550078Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.5552187Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.5554186Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.5556192Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.5558263Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.5560323Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.5562381Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.5564459Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.5566594Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.5568786Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.5570791Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.5572805Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.5574836Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.5576958Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.5578924Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.5580998Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.5582742Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.5584405Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.5586043Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.5587819Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.5589796Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.5592880Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.5596109Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.5598631Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.5601813Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.5605789Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.5629408Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.5635209Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.5638581Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.5642010Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.5646392Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.5652106Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.5657770Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.5661081Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.5663693Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.5666820Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.5669897Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.5673003Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.5676913Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.5681507Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.5684570Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.5686436Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.5688259Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.5689645Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.5690832Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.5692452Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.5698500Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.5704421Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.5706325Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6014229Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6015669Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6016900Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6018302Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6020187Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6021729Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6023883Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6025937Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6027961Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6030064Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6032181Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6034293Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6036382Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6038548Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6040709Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6042770Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6044812Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6046870Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6049055Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6051234Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6053163Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6054933Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6056602Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6058286Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6060063Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6062055Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6065174Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6068474Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6070994Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6074200Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6078272Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6084008Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6089684Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6093092Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6096519Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6100924Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6106614Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6112651Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6116034Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6118695Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6121843Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6124954Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6128181Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6132040Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6157428Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6160597Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6162400Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6164116Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6165666Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6166856Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6168562Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6174821Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6180914Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6182852Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6184833Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6186810Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6188773Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6190874Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6192972Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6195035Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6197004Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6198981Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6200949Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6202986Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6205040Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6207305Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6209426Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6211530Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6213627Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6215612Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6217608Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6219720Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6221722Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6223811Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6225705Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6227403Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6229031Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6230656Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6232396Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6234331Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6237364Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6240569Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6243049Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6246196Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6250200Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6255898Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6261414Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6264775Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6268176Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6272528Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6278148Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6283827Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6286947Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6289603Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6292742Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6295837Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6298972Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6302884Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6309133Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6312229Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6314085Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6316000Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6317341Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6318564Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6320239Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6326461Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6332620Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6334583Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6336571Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6338578Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6340580Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6342815Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6344930Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6347072Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6349085Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6351099Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6353090Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6354045Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6354937Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6355824Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6356702Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6357611Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6358517Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6359386Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6360239Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6361102Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6361966Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6362856Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6363662Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6364407Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6365124Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6365840Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6366591Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6367427Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6368828Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6370206Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6371260Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6372613Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6374367Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6376806Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6379176Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6380620Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6382062Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6383919Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6386308Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6388660Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6390031Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6391152Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6392473Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6393782Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6395116Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6396770Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6399708Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6402209Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6403775Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6405671Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6407015Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6408538Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6410218Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6416432Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6422501Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6424450Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6426457Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6428453Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6430454Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6432585Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6434877Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6436853Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6438869Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6440883Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6442884Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6444962Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6447051Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6449175Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6451243Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6453362Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6455508Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6457539Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6459621Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6461599Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6463777Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6465762Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6467641Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6469350Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6471004Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6472671Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6474433Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6476387Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6479467Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6482692Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6485202Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6488386Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6492249Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6497867Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6503215Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6506583Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6510245Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6514625Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6520282Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6526213Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6529394Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6531957Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6534986Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6537993Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6541101Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6545011Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6549610Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6552705Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6554694Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6556429Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6557771Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6558986Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6560658Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6566868Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6572920Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6574861Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6576826Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6578824Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6580887Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6582993Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6585214Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6587212Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6589233Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6591238Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6593211Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6595322Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6597393Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6599491Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6601561Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6603149Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6604064Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6604932Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6605789Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6606656Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6608002Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6608938Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6609750Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6610500Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6611221Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6611940Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6612692Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6613532Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6614856Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6616237Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6617297Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6618754Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6620522Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6622907Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6625262Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6626701Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6628143Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6630001Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6632402Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6634823Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6636160Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6637282Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6638603Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6639919Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6641247Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6642913Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6644873Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6646223Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6647076Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6647838Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6648539Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6649063Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6649783Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6652398Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6654961Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6655796Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6656657Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6657506Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6658359Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6659269Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6660236Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6661070Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6661922Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6662785Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6663631Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6664506Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6665393Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6667995Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6668928Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6669829Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6670741Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6671691Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6672563Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6673503Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6674373Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6675214Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6676033Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6676768Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6677482Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6678189Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6678933Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6679774Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6681074Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6682454Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6683516Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6684855Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6686575Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6689381Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6691742Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6693186Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6694636Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6696476Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6698917Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6701328Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6702672Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6703793Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6705121Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6706419Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6708010Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6709667Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6711612Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6712927Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6713840Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6714602Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6715197Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6715748Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6716460Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6719083Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6721638Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6722477Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6723337Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6724240Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6725099Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6726098Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6727012Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6727852Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6728793Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6729653Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6730509Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6731385Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6732276Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6733166Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6734059Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6734961Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6735877Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6736756Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6737616Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6738508Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6739369Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6740210Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6741029Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6741759Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6742472Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6743180Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6743937Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6744766Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6746076Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6747441Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6748513Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6749919Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6751638Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6754032Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6756390Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6757839Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6759297Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6761149Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6763547Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6765920Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6767255Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6768450Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6769798Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6771112Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6772432Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6774095Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6776088Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6777478Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6778280Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6779022Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6779612Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6780157Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6780880Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6783488Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6786043Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6786879Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6787738Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6788601Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6789446Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6790391Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6791300Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6792149Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6792993Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6793849Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6794701Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6795590Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6796474Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6797363Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6798249Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6799156Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6800051Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6800951Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6801811Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6802730Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6803588Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6804432Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6805254Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6806000Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6806703Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6807735Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6808580Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6809419Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6810710Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6812077Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6813143Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6814495Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6816293Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6818658Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6821012Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6822468Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6823919Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6825772Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6828293Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6830652Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6831974Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6833096Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6834438Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6835754Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6837089Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6838738Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6840688Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6842038Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6842835Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6843594Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6844163Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6844707Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6845437Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6848071Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6850726Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6851543Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6852398Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6853294Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6854143Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6855093Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6856006Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6856850Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6857702Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6858547Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6859402Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6860289Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6861184Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6862060Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6862947Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6863857Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6864765Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6865613Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6866511Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6867374Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6868235Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6869066Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6869888Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6870635Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6871349Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6872049Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6872813Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6873654Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6874956Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6876310Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6877423Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6878832Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6880523Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6882908Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6885253Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6886684Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6888198Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6890068Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6892470Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6894855Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6896188Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6897298Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6898659Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6899960Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6901286Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6902940Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6904958Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6906270Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6907344Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6908108Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6908694Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6909216Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6909940Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6912555Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6915123Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6915955Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6916805Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6917666Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6918619Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6919530Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6920438Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6921289Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6922141Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6922995Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6923834Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6924722Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6925605Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6926491Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6927359Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6928337Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6929310Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6930183Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6931116Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6931988Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6932854Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6933703Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.6934511Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.6935263Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.6935985Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.6936687Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6937461Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.6938308Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.6939616Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.6940985Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.6942047Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.6943415Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.6945139Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6947523Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6949894Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6951347Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.6952791Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.6954650Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6957176Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6959532Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.6960870Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.6961993Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.6963317Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.6964631Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.6965982Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.6967635Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6969666Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.6971163Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.6971963Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.6972719Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.6973306Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.6973832Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.6974555Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.6977168Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.6979738Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.6980575Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.6981450Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.6982304Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.6983208Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.6984120Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.6985019Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6985863Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.6986716Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.6987580Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.6988418Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.6989315Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.6990204Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6991090Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.6991964Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6992871Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.6993780Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6994643Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.6995524Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.6996389Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.6997252Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7010644Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7011579Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7012341Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7013055Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7013772Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7014517Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7015350Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7016659Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7018217Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7019261Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7020710Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7022396Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7024772Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7027131Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7028577Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7030025Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7031866Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7034262Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7036656Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7037996Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7039125Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7040466Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7041763Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7043093Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7044751Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7046782Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7048100Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7048997Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7049757Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7050348Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7050897Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7051606Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7054228Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7056786Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7057625Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7058483Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7059333Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7060244Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7061153Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7062067Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7062901Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7063759Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7064618Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7065474Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7066351Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7067235Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7068117Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7068999Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7069925Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7070830Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7071766Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7072634Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7073481Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7074337Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7075174Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7075994Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7076724Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7077433Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7078145Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7078902Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7079727Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7081029Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7082404Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7083764Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7085179Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7086860Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7089300Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7091661Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7093103Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7094551Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7096436Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7098865Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7101215Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7102548Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7103671Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7105008Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7106316Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7108158Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7109824Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7111851Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7113166Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7113971Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7114713Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7115300Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7115840Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7116559Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7119169Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7121738Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7122617Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7123470Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7124410Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7125245Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7126152Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7127061Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7127907Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7128837Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7129692Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7130548Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7131431Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7132307Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7133187Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7134071Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7134979Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7135873Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7136786Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7137654Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7138516Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7139366Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7140211Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7141037Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7141783Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7142486Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7143193Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7143953Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7144780Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7146089Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7147505Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7148637Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7149986Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7151646Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7154012Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7156381Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7157815Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7159262Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7161119Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7163544Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7165884Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7167203Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7168410Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7169752Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7171056Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7172389Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7174107Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7176131Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7177453Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7178246Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7179001Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7179573Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7180111Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7180828Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7183450Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7185989Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7186816Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7187674Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7188570Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7189406Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7190315Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7191225Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7192074Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7192916Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7193767Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7194623Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7195514Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7196379Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7197262Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7198157Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7199098Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7200046Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7200913Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7201780Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7202640Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7203484Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7204323Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7205140Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7205887Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7206585Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7207633Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7208477Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7209316Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7210605Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7211985Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7213147Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7214495Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7216160Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7218508Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7220862Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7222293Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7223740Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7225634Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7228120Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7230464Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7231799Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7232925Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7234261Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7235566Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7236879Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7238544Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7240523Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7241841Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7242640Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7243380Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7243967Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7244511Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7245238Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7247850Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7250560Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7251396Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7252319Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7253180Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7254016Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7254930Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7255844Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7256696Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7257538Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7258399Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7259250Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7260131Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7261002Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7261889Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7262767Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7263671Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7264604Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7265465Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7266327Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7267181Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7268028Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7268866Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7269690Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7270438Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7271139Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7271847Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7272600Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7273428Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7274716Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7276145Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7277265Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7278615Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7280293Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7282658Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7284999Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7286431Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7287874Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7289811Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7292227Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7294567Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7295890Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7297014Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7298349Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7299657Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7300979Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7302704Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7304648Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7305954Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7306744Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7307795Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7308368Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7308905Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7309627Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7312235Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7314850Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7315856Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7316811Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7317668Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7318514Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7319406Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7320315Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7321167Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7322015Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7322863Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7323707Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7324591Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7325476Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7326342Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7327278Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7328260Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7329262Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7330109Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7330967Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7331827Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7332683Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7333511Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7334329Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7335073Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7335784Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7336477Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7337237Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7338074Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7339379Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7340737Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7341847Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7343198Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7344877Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7347261Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7349629Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7351058Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7352514Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7354487Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7356880Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7359234Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7360571Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7361691Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7363029Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7364337Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7365664Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7367330Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7369433Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7370736Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7371529Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7372282Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7372866Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7373392Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7374113Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7376731Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7379366Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7380202Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7381174Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7382042Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7382891Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7383802Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7384703Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7385557Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7386408Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7387268Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7388101Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7388983Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7389866Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7390752Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7391623Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7392527Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7393472Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7394334Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7395185Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7396044Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7396906Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7397751Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7398561Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7399305Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7400016Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7400710Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7401466Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7402303Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7403631Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7405046Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7406101Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7408014Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7409775Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7412152Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7414509Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7415940Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7417376Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7419231Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7421708Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7424042Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7425369Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7426491Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7427804Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7429105Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7430469Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7432200Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7434148Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7435457Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7436240Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7437000Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7437582Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7438115Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7438831Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7441440Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7443985Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7444852Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7445691Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7446545Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7447392Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7448379Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7449283Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7450159Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7451021Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7451880Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7452716Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7453606Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7454498Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7455426Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7456298Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7457279Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7458192Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7459058Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7459908Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7460775Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7461641Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7462487Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7463299Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7464045Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7464760Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7465471Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7466217Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7467049Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7468354Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7469763Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7470828Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7472166Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7473835Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7476209Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7478564Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7480005Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7481479Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7483366Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7485753Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7488102Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7489516Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7490640Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7491976Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7493253Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7494578Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7496280Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7498214Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7499520Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7500305Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7501054Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7501633Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7502166Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7502873Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7505489Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7508644Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7509608Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7510472Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7511314Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7512166Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7513080Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7513994Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7514827Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7515683Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7516532Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7517374Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7518242Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7519125Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7520005Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7520884Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7521827Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7522728Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7523585Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7524443Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7525289Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7526151Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7526988Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7527803Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7528802Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7529902Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7530973Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7531739Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7532678Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7533987Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7535438Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7536505Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7537845Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7539526Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7541908Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7544255Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7545698Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7547157Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7549054Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7551429Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7553775Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7555111Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7556230Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7557562Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7558867Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7560211Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7561944Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7563894Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7565211Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7566008Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7566750Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7567347Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7567888Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7568698Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7571306Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7573902Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7574278Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7574647Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7575019Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7575383Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7575809Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7576188Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7576551Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7576934Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7577289Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7577652Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7578060Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7578461Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7578868Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7579283Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7579706Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7580081Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7580453Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7580828Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7581201Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7581561Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7581933Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7582273Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7582559Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7582861Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7583137Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7583504Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7583854Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7584690Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7585139Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7585659Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7586376Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7587228Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7588641Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7589484Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7589999Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7590896Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7591790Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7593175Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7594026Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7594402Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7595019Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7595623Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7596206Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7596835Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7597772Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7598694Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7598977Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7599377Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7599617Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7599835Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7600050Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7600441Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7602548Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7602975Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7603337Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7603716Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7604074Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7604443Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7604863Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7605219Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7605594Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7605961Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7606337Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7606696Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7607450Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7607842Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7608313Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7608770Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7609189Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7609551Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7609938Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7610297Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7610688Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7611049Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7611402Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7611755Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7612033Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7612353Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7612625Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7613034Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7613401Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7614292Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7614739Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7615261Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7615980Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7616831Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7618235Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7619090Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7619565Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7620423Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7621336Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7622734Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7623576Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7623966Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7624582Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7625183Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7625795Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7626451Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7627376Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7628280Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7628573Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7628956Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7629211Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7629424Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7629623Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7630027Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7632129Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7632529Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7632887Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7633267Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7633624Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7633983Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7634418Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7634779Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7635150Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7635517Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7635872Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7636244Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7636635Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7637039Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7637429Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7637841Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7638274Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7638636Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7639018Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7639381Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7639748Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7640123Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7640470Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7640819Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7641092Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7641399Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7641684Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7642037Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7642403Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7643265Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7643686Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7644220Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7644919Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7645792Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7647185Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7648040Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7648636Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7649558Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7650447Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7651839Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7652683Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7653059Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7653688Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7654279Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7654879Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7655540Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7656463Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7657370Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7657662Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7658050Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7658295Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7658518Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7658719Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7659103Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7661289Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7661680Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7662040Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7662409Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7662785Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7663150Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7663581Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7663952Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7664309Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7664692Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7665049Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7665409Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7665820Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7666180Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7666618Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7666981Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7667411Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7667774Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7668146Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7668523Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7668894Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7669272Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7669620Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7669959Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7670247Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7670553Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7670828Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7671224Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7671573Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7672517Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7672943Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7673478Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7674179Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7675033Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7676444Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7677288Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7677782Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7678660Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7679546Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7688722Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7689706Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7690108Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7690731Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7691325Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7692033Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7692714Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7693652Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7694563Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7694858Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7695253Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7695495Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7695729Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7695940Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7696342Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7698444Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7698847Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7699205Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7699575Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7699950Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7700310Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7700744Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7701113Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7701468Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7701850Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7702208Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7702582Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7703005Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7703370Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7703849Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7704212Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7704646Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7705008Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7705377Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7705752Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7706122Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7706503Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7706849Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7707534Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7707833Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7708135Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7708424Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7708778Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7709133Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7710054Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7710479Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7711011Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7711712Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7712575Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7713976Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7714833Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7715353Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7716274Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7717172Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7718561Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7719423Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7719794Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7720426Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7721018Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7721616Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7722249Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7723170Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7724092Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7724370Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7724773Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7725013Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7725242Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7725448Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7725835Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7728005Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7728457Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7728836Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7729205Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7729575Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7729939Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7730361Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7730742Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7731098Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7731479Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7731839Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7732202Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7732610Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7732970Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7733420Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7733782Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7734196Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7734577Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7734947Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7735324Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7735702Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7736063Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7736422Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7736759Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7737045Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7737350Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7737649Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7738014Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7738418Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7739264Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7739685Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7740205Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7740925Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7741779Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7743197Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7744044Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7744538Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7745412Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7746303Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7747693Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7748551Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7748921Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7749537Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7750165Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7750816Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7751444Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7752357Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7753283Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7753566Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7753966Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7754204Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7754418Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7754636Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7755028Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7757145Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7757525Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7757885Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7758268Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7758625Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7758997Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7759419Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7759779Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7760150Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7760515Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7760886Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7761273Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7761665Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7762089Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7762483Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7762853Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7763269Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7763629Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7764012Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7764373Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7764759Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7765121Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7765466Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7765816Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7766089Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7766405Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7766677Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7767030Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7767428Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7768325Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7768769Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7769289Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7770006Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7770857Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7772246Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7773147Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7773680Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7774547Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7775430Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7776838Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7777680Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7778065Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7778692Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7779348Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7780203Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7780872Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7781806Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7782714Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7783014Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7783403Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7783656Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7783873Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7784077Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7784479Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7786677Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7787048Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7787408Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7787787Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7788147Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7788507Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7788946Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7789308Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7789675Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7790037Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7790396Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7790772Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7791163Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7791568Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7791960Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7792319Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7792748Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7793108Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7793494Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7793852Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7794226Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7794599Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7794946Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7795294Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7795572Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7795918Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7796205Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7796613Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7796980Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7797803Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7798224Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7798761Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7799466Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7800330Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7801720Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7802581Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7803087Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7803950Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7804835Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7806237Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7807394Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7807778Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7808483Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7809149Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7809828Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7810439Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7811369Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7812279Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7812572Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7812957Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7813195Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7813423Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7813626Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7814014Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7816130Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7816538Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7816897Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7817267Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7817636Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7817998Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7818415Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7818790Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7819146Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7819527Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7819912Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7820271Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7820731Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7821098Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7821505Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7821865Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7822284Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7822661Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7823029Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7823409Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7823783Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7824147Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7824508Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7824851Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7825146Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7825448Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7825723Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7826125Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7826477Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7827310Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7827732Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7828265Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7828967Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7829813Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7831219Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7832142Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7832632Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7833477Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7834370Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7835761Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7836618Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7836988Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7837620Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7838215Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7838847Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7839467Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7840378Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7841305Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7841587Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7841984Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7842223Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7842438Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7842651Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7843071Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7845231Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7845585Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7845960Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7846332Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7846689Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7847071Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7847489Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7847867Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7848357Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7848728Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7849103Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7849465Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7850155Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7850516Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7850916Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7851291Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7851708Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7852101Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7852471Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7852849Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7853217Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7853575Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7853934Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7854271Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7854586Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7854889Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7855218Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7855583Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7855934Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7856766Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7857187Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7857708Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7858425Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7859279Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7860681Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7861531Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7862055Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7862899Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7863795Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7865187Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7866041Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7866409Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7867133Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7867795Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7868387Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7869009Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7869917Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7870843Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7871120Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7871517Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7871754Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7871969Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7872183Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7872570Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7874684Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7875073Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7875430Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7875813Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7876170Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7876549Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7876969Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7877329Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7877697Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7878062Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7878466Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7878829Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7879291Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7879687Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7880077Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7880451Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7880869Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7881232Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7881621Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7881984Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7882368Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7882729Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7883076Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7883431Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7883707Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7884028Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7884340Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7884693Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7885060Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7885884Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7886321Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7886840Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7887546Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7888528Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7889931Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7890883Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7891367Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7892230Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7893118Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7894516Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7895360Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7895749Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7896374Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7897010Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7897610Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7898215Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7899145Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7900060Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7900357Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7900744Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7900999Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7901216Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7901454Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7901854Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7904014Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7904381Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7904743Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7905113Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7905490Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7905848Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7906278Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7906640Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7906992Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7907712Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7908073Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7908541Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7908932Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7909293Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7909698Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7910055Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7910483Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7910844Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7911222Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7911597Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7911965Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7912337Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7912682Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7913064Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7913352Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7913654Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7914016Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7914370Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7914722Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7915552Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7915974Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7916504Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7917214Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7918069Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7919466Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7920367Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7920841Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7921684Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7922575Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7923971Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7924822Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7925224Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7925858Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7926513Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7927116Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7927724Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7928720Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7929639Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7929921Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7930324Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7930564Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7930794Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7931000Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7931388Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7933549Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7933899Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7934271Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7934639Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7935015Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7935377Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7935795Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7936171Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7936525Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7936933Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7937291Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7937706Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7938113Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7938473Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7938882Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7939241Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7939660Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7940031Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7940405Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7940778Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7941147Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7941504Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7941862Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7942202Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7942488Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7942827Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7943100Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7943466Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7943819Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7944652Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7945075Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7945597Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7946311Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7947156Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7948563Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7949487Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7949981Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7950826Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7951722Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7953113Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7953964Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7954338Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7954957Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7955590Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7956174Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7956792Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7957709Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7958629Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7958905Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7959301Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7959537Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7959799Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7960013Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7960399Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7962561Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7962913Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7963283Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7963650Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7964013Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7964387Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7964804Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7965182Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7965538Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7965901Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7966271Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7966667Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7967061Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7967434Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7967827Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7968285Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7968706Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7969086Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7969453Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7969811Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7970328Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.7970726Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7971139Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.7971487Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.7971761Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.7972137Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.7972415Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7972766Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.7973133Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.7973954Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.7974389Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.7974917Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.7975630Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.7976484Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7977897Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7978774Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7979250Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.7980109Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.7980994Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7982560Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7983405Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.7983837Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.7984512Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.7985119Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.7985707Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.7986331Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.7987254Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7988168Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.7988463Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.7988851Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.7989106Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.7989323Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.7989527Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.7989965Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.7992077Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.7992444Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.7992803Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.7993194Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.7993556Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.7993916Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.7994351Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.7994713Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7995115Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.7995484Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.7995899Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.7996279Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.7996673Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.7997051Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7997443Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.7997806Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7998237Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.7998605Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7998982Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.7999342Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.7999711Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8000084Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8000431Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8000784Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8001094Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8001398Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8001682Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8002035Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8002403Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8003223Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8003650Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8004187Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8004886Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8005742Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8007654Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8008992Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8009873Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8010754Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8011654Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8013122Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8013965Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8014355Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8015085Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8015673Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8016275Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8016885Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8017816Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8018731Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8019022Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8019408Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8019693Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8019922Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8020125Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8020585Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8022685Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8023046Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8023406Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8023782Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8024154Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8024512Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8024942Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8025308Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8025665Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8026048Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8026441Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8026815Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8027212Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8027571Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8027975Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8028339Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8028767Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8029134Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8029506Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8029880Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8030249Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8030750Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8031295Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8031777Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8032149Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8032454Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8032727Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8033093Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8033443Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8034280Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8034705Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8035238Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8035943Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8036796Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8038206Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8039082Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8039566Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8040417Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8041311Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8042695Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8043549Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8043950Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8044638Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8045230Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8045828Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8046438Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8047359Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8048398Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8048677Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8049080Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8049325Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8049541Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8049862Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8050255Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8052368Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8052719Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8053097Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8053462Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8053817Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8054192Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8054607Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8055015Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8055404Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8055860Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8056230Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8056590Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8056995Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8057360Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8057751Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8058122Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8058542Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8058916Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8059282Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8059640Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8060020Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8060381Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8060738Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8061111Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8061385Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8061706Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8061981Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8062348Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8062695Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8063518Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8063959Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8064475Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8065190Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8066036Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8067522Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8068363Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8068854Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8069702Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8070601Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8071982Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8072830Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8073203Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8073852Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8074450Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8075033Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8075655Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8076571Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8077502Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8077780Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8078202Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8078453Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8078670Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8078943Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8079333Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8081448Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8081816Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8082181Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8082566Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8082927Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8083306Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8083724Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8084091Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8084463Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8084875Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8085252Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8085613Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8086010Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8086388Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8086786Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8087162Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8087586Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8087947Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8088429Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8088801Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8089185Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8089591Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8089939Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8090348Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8090625Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8090944Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8091219Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8091569Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8091936Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8092764Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8093211Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8093730Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8094427Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8095291Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8096690Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8097598Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8098072Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8098943Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8099828Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8101226Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8102097Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8102553Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8103173Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8103777Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8104362Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8104969Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8105904Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8106808Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8107442Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8108044Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8108424Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8108888Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8109211Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8109629Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8111734Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8112106Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8112470Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8112838Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8113215Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8113574Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8114009Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8114427Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8114784Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8115241Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8115602Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8115971Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8116363Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8116723Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8117129Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8117488Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8117920Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8118281Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8118647Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8119019Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8119390Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8119762Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8120107Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8120478Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8120768Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8121070Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8121352Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8121700Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8122052Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8122887Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8123315Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8123844Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8124544Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8125439Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8126881Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8127737Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8128317Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8129173Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8130074Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8131459Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8132366Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8132780Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8133413Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8134003Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8134603Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8135220Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8136142Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8137049Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8137352Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8137748Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8137984Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8138260Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8138463Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8138849Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8140960Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8141315Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8141688Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8142053Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8142421Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8142782Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8143202Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8143573Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8143961Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8144339Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8144696Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8145056Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8145457Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8145819Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8146222Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8146586Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8147005Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8147376Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8147742Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8148113Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8148552Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8148913Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8149322Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8149661Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8149945Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8150247Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8150519Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8150881Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8151233Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8152068Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8152490Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8153007Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8153721Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8154572Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8156001Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8156839Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8157328Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8158177Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8159066Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8160449Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8161385Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8161764Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8162401Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8162992Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8163584Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8164205Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8165120Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8166036Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8166314Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8166716Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8166986Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8167196Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8167408Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8167789Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8169998Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8170355Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8170727Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8171096Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8171455Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8171828Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8172284Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8172659Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8173067Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8173432Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8173800Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8174160Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8174570Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8174933Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8175325Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8175706Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8176127Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8176502Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8176871Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8177232Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8177617Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8177981Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8178375Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8178713Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8178987Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8179305Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8179580Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8179936Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8180301Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8181124Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8181564Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8182083Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8182797Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8183676Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8185141Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8185984Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8186458Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8187325Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8188209Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8189610Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8190455Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8190886Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8191499Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8192103Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8192693Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8193323Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8194235Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8195144Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8195467Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8195854Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8196158Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8196377Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8196582Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8196984Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8199091Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8199456Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8199812Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8200193Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8200550Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8200909Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8201346Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8201713Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8202115Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8202482Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8202835Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8203204Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8203597Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8203973Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8204371Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8204733Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8205163Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8205523Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8205908Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8206297Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8206661Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8207490Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8207915Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8208361Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8208645Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8208948Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8209237Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8209596Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8209961Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8210786Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8211206Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8211734Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8212438Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8213307Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8214810Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8215788Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8216272Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8217141Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8218026Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8219419Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8220370Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8220766Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8221385Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8221975Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8222575Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8223256Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8224188Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8225096Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8225389Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8226013Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8226300Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8226531Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8226737Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8227138Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8229242Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8229608Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8229967Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8230333Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8230705Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8231101Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8231531Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8231987Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8232349Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8232729Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8233087Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8233457Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8233857Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8234218Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8234634Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8234995Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8235428Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8235787Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8236157Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8236535Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8236904Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8237306Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8237652Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8237988Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8238274Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8238577Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8238863Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8239213Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8239565Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8240402Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8240823Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8241351Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8242081Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8242977Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8244381Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8245223Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8245709Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8246559Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8247453Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8248936Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8249836Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8250209Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8250840Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8251428Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8252034Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8252649Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8253559Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8254477Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8254785Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8255236Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8255476Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8255701Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8255906Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8256292Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8258403Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8258756Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8259125Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8259495Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8259854Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8260232Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8260651Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8261061Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8261420Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8261785Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8262162Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8262523Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8262934Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8263295Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8263692Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8264063Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8264479Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8264853Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8265225Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8265612Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8265994Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8266407Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8266765Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8267104Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8267377Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8267691Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8267966Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8268329Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8268709Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8269529Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8269962Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8270488Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8271206Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8272088Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8273504Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8274348Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8274843Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8275690Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8276587Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8277978Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8278933Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8279311Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8279931Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8280538Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8281131Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8281759Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8282672Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8283603Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8283885Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8284311Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8284566Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8284779Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8285000Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8285389Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8287521Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8287876Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8288325Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8288717Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8289113Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8289489Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8289966Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8290335Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8290708Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8291078Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8291447Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8291812Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8292207Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8292591Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8292981Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8300360Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8300839Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8301229Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8301620Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8301987Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8302499Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8302865Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8303232Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8303576Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8303851Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8304181Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8304457Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8304826Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8305190Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8306017Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8306457Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8306977Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8308259Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8309279Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8310698Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8311550Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8312051Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8312898Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8313783Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8315186Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8316081Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8316470Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8317091Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8317701Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8318293Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8318918Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8319826Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8320797Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8321133Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8321525Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8321783Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8322002Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8322209Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8322614Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8324871Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8325240Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8325599Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8325979Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8326338Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8326697Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8327177Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8327539Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8327909Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8328367Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8328727Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8329102Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8329495Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8329876Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8330269Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8330632Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8331063Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8331425Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8331861Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8332222Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8332652Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8333030Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8333376Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8333729Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8334008Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8334314Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8334603Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8334958Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8335329Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8336153Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8336578Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8337112Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8337816Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8338710Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8340101Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8340955Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8341440Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8342299Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8343184Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8344664Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8345507Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8345890Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8346507Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8347097Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8347704Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8348311Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8349239Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8350146Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8350476Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8350862Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8351101Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8351329Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8351535Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8351935Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8354041Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8354406Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8354767Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8355134Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8355544Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8355903Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8356389Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8356754Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8357111Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8357491Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8357846Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8358219Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8358611Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8358979Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8359386Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8359748Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8360179Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8360545Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8360916Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8361292Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8361698Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8362077Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8362423Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8362761Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8363053Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8363360Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8363648Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8364006Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8364360Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8365196Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8365616Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8366181Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8366941Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8367807Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8369280Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8370148Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8370627Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8371468Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8372363Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8373758Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8374672Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8375043Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8375673Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8376260Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8376865Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8377474Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8378388Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8379397Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8379681Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8380081Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8380319Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8380546Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8380748Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8381139Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8383252Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8383602Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8383976Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8384350Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8384721Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8385121Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8385541Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8385919Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8386276Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8386660Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8387020Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8387382Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8387795Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8388158Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8388567Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8388925Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8389341Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8389750Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8390124Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8390551Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8390921Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8391281Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8391637Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8391975Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8392264Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8392568Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8392842Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8393217Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8393568Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8394383Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8394818Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8395339Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8396057Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8396947Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8398356Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8399208Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8399698Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8400545Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8401442Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8402912Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8403769Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8404140Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8404762Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8405370Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8405958Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8406589Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8407924Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8408932Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8409320Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8409708Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8409961Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8410177Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8410395Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8410788Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8412910Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8413260Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8413617Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8414048Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8414408Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8414892Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8415314Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8415682Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8416050Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8416416Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8416791Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8417153Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8417549Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8417925Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8418317Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8418691Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8419107Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8419472Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8419859Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8420257Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8420639Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8421000Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8421347Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8421696Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8421971Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8422286Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8422564Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8422917Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8423280Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8424102Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8424537Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8425093Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8425902Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8426769Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8428166Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8429029Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8429509Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8430373Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8431253Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8432653Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8433529Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8433916Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8434544Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8435155Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8435745Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8436355Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8437278Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8438270Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8438566Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8438955Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8439210Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:38:43.8439426Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:38:43.8439631Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:38:43.8440034Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:38:43.8442138Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect):
2025-12-04T10:38:43.8442502Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:38:43.8442861Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:38:43.8443238Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:38:43.8443597Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:38:43.8443999Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:38:43.8444433Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:38:43.8444794Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8445162Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:38:43.8445528Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:38:43.8445883Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:38:43.8446258Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:38:43.8446657Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:38:43.8447032Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8447423Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:38:43.8447782Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8448373Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:38:43.8448738Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8449194Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:38:43.8449558Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8449926Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:38:43.8450301Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:38:43.8450648Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:38:43.8451006Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:38:43.8451282Z V1204 10:38:40.060000 118018 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:38:43.8451585Z V1204 10:38:40.061000 118018 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:38:43.8451877Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8452230Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:38:43.8452598Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:38:43.8453420Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None  # _dynamo/output_graph.py:808 in init_ambient_guards
2025-12-04T10:38:43.8453845Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:38:43.8454380Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:38:43.8455123Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:795 in init_ambient_guards
2025-12-04T10:38:43.8455987Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8457381Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8458246Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8458725Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:38:43.8459584Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=<class 'torch.Tensor'>, tag_safe=(True, False)
2025-12-04T10:38:43.8460505Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94090799233728)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8461967Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1])  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8462810Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False           # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:38:43.8463181Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:38:43.8463814Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1]  # (unknown source L['a'].stride()[0], please file a bug)
2025-12-04T10:38:43.8464412Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0]  # (unknown source L['b'].size()[0], please file a bug)
2025-12-04T10:38:43.8465011Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1]  # (unknown source L['b'].size()[1], please file a bug)
2025-12-04T10:38:43.8465616Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1]  # (unknown source L['b'].stride()[0], please file a bug)
2025-12-04T10:38:43.8466556Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8467497Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1]  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in <lambda>)
2025-12-04T10:38:43.8467784Z V1204 10:38:40.062000 118018 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:38:43.8468170Z V1204 10:38:40.094000 118018 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 70.36 us
2025-12-04T10:38:43.8468765Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-2e8f965030a967be.xml -
2025-12-04T10:38:43.8468943Z =========================== short test summary info ============================
2025-12-04T10:38:43.8469270Z FAILED [11.3324s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8469576Z FAILED [0.0540s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8469866Z FAILED [0.0667s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8470146Z FAILED [0.0749s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8470440Z FAILED [0.0469s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8470722Z FAILED [0.0295s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8471013Z FAILED [0.0204s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8471294Z FAILED [0.0806s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8471612Z FAILED [0.0172s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8471905Z FAILED [0.0552s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8472190Z FAILED [0.0575s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8472526Z FAILED [0.0360s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8472825Z FAILED [0.0540s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8473109Z FAILED [0.0409s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8473404Z FAILED [0.0162s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8473686Z FAILED [0.0171s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8473968Z FAILED [0.0741s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8474263Z FAILED [0.0641s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8474563Z FAILED [0.0549s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8474861Z FAILED [0.0342s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8475141Z FAILED [0.0388s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8475419Z FAILED [0.0187s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8475712Z FAILED [0.0167s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8475992Z FAILED [0.0162s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8476271Z FAILED [0.0588s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8476565Z FAILED [0.0464s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8476849Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8477142Z FAILED [0.0674s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8477463Z FAILED [0.0498s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8477744Z FAILED [0.0509s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8478037Z FAILED [0.0559s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8478317Z FAILED [0.0441s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8478611Z FAILED [0.0545s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8478892Z FAILED [0.0562s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8479174Z FAILED [0.0177s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8479468Z FAILED [0.0325s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8479749Z FAILED [0.0200s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8480035Z FAILED [0.0621s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8480328Z FAILED [0.0489s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8480609Z FAILED [0.0154s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8480904Z FAILED [0.0551s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8481185Z FAILED [0.0419s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8481468Z FAILED [0.0555s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8481797Z FAILED [0.0391s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8482081Z FAILED [0.0558s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8482420Z FAILED [0.0439s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8482734Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8483018Z FAILED [0.0558s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8483315Z FAILED [0.0275s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8483599Z FAILED [0.0169s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:38:43.8483749Z ============================= 50 failed in 14.26s ==============================
2025-12-04T10:38:43.8483762Z 
2025-12-04T10:38:43.8484199Z FINISHED PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_6bec48ff2a085dd8_.log)
2025-12-04T10:38:43.8484205Z 
2025-12-04T10:38:43.8484484Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:38:43.540776][5183.239984942], took 0.31min
2025-12-04T10:38:43.8485197Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-2e8f965030a967be.xml
2025-12-04T10:38:44.1801644Z Uploading logs for 57118431093 to S3
2025-12-04T10:38:44.2316996Z Uploading artifacts took 0.48 seconds
2025-12-04T10:38:44.2317600Z test_dynamic_shapes 1/1 failed!
2025-12-04T10:38:46.4503437Z W1204 10:38:46.449000 118503 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:47.8969892Z Running complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:38:47.896412][5187.595695302]
2025-12-04T10:38:47.8971137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:47.8974749Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:47.897003]
2025-12-04T10:38:54.8280308Z 
2025-12-04T10:38:54.8282042Z complex_tensor/test_complex_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.1_c9bb40811d8de200_.log
2025-12-04T10:38:54.8283687Z Running 0 items in this shard:
2025-12-04T10:38:54.8284027Z 
2025-12-04T10:38:54.8284640Z Finished complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:38:54.827953][5194.527233911], took 0.12min
2025-12-04T10:38:54.8898408Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-179419d29a959b9e.xml
2025-12-04T10:38:58.5156575Z W1204 10:38:58.514000 118714 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:00.3318984Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:39:00.331367][5200.030649367]
2025-12-04T10:39:00.3319695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:00.3323919Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:00.331892]
2025-12-04T10:39:03.9299479Z 
2025-12-04T10:39:03.9300842Z 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_2faed8f0ba6978ef_.log
2025-12-04T10:39:03.9302198Z 
2025-12-04T10:39:03.9302718Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:39:03.929772][5203.629056432], took 0.06min
2025-12-04T10:39:06.7215621Z W1204 10:39:06.720000 118896 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:08.4108890Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:39:08.410333][5208.109618132]
2025-12-04T10:39:08.4110145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:08.4112712Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:08.410883]
2025-12-04T10:39:12.2777898Z 
2025-12-04T10:39:12.2779586Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_c8f16a10c24be87a_.log
2025-12-04T10:39:12.2781326Z Running 0 items in this shard:
2025-12-04T10:39:12.2781696Z 
2025-12-04T10:39:12.2782255Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:39:12.277625][5211.976907603], took 0.06min
2025-12-04T10:39:12.3534064Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_histograms/torch_np.numpy_tests.lib.test_histograms-d1f7359571d33923.xml
2025-12-04T10:39:15.3393376Z W1204 10:39:15.338000 118989 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:17.3216007Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:39:17.321116][5217.020398038]
2025-12-04T10:39:17.3216676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:17.3219699Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:17.321643]
2025-12-04T10:39:22.6492909Z 
2025-12-04T10:39:22.6494324Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_c9e18a23d6a967c1_.log
2025-12-04T10:39:22.6495339Z Running 0 items in this shard:
2025-12-04T10:39:22.6495599Z 
2025-12-04T10:39:22.6495964Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:39:22.649141][5222.348426299], took 0.09min
2025-12-04T10:39:22.7151614Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-849a5e44ae966048.xml
2025-12-04T10:39:26.3103867Z W1204 10:39:26.309000 119192 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:28.3711464Z Running test_schema_check 1/1 ... [2025-12-04 10:39:28.370592][5228.069867515]
2025-12-04T10:39:28.3712213Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:28.3717904Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_schema_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:28.371324]
2025-12-04T10:39:35.3536233Z 
2025-12-04T10:39:35.3537323Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_449042aba27f167c_.log
2025-12-04T10:39:35.3538303Z Running 0 items in this shard:
2025-12-04T10:39:35.3538553Z 
2025-12-04T10:39:35.3538909Z Finished test_schema_check 1/1 ... [2025-12-04 10:39:35.353611][5235.052892996], took 0.12min
2025-12-04T10:39:35.4124279Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-82a2c5cc1948f246.xml
2025-12-04T10:39:38.6269335Z W1204 10:39:38.625000 119387 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:40.6106191Z Running test_tensorboard 1/1 ... [2025-12-04 10:39:40.610044][5240.309322493]
2025-12-04T10:39:40.6107708Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:40.6113186Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorboard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:40.610783]
2025-12-04T10:39:45.6115169Z 
2025-12-04T10:39:45.6116711Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_316b4e7acf62ed20_.log
2025-12-04T10:39:45.6117559Z Running 0 items in this shard:
2025-12-04T10:39:45.6117768Z 
2025-12-04T10:39:45.6118044Z Finished test_tensorboard 1/1 ... [2025-12-04 10:39:45.609975][5245.309257696], took 0.08min
2025-12-04T10:39:45.6791860Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorboard/test_tensorboard-b0136868b14dcaf8.xml
2025-12-04T10:39:48.7745747Z W1204 10:39:48.773000 119630 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:50.4060553Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:39:50.405546][5250.104830853]
2025-12-04T10:39:50.4061645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:50.4066389Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:50.406108]
2025-12-04T10:39:55.6642063Z 
2025-12-04T10:39:55.6643835Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_fdea8bf1727865ef_.log
2025-12-04T10:39:55.6647427Z Running 0 items in this shard:
2025-12-04T10:39:55.6647779Z 
2025-12-04T10:39:55.6648540Z Finished torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:39:55.664123][5255.363402488], took 0.09min
2025-12-04T10:39:55.7249531Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_indexing/torch_np.numpy_tests.core.test_indexing-3135d6c00b7b20de.xml
2025-12-04T10:39:59.2472186Z W1204 10:39:59.246000 119805 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:40:01.2278074Z Running test_futures 1/1 ... [2025-12-04 10:40:01.227255][5260.926532829]
2025-12-04T10:40:01.2278938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:01.2284163Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_futures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:01.228005]
2025-12-04T10:40:05.3029005Z 
2025-12-04T10:40:05.3029999Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_d209769f561475b9_.log
2025-12-04T10:40:05.3030904Z Running 0 items in this shard:
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2025-12-04T10:40:05.3031481Z Finished test_futures 1/1 ... [2025-12-04 10:40:05.302800][5265.002084273], took 0.07min
2025-12-04T10:40:05.3634383Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_futures/test_futures-14114f637f26fc19.xml
2025-12-04T10:40:07.9458227Z W1204 10:40:07.945000 120027 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:40:09.7582768Z Running nn/test_dropout 1/1 ... [2025-12-04 10:40:09.757768][5269.457048728]
2025-12-04T10:40:09.7583587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:09.7587193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:09.758331]
2025-12-04T10:40:14.8425684Z 
2025-12-04T10:40:14.8426731Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_c3c3a3f404f2e7fc_.log
2025-12-04T10:40:14.8427691Z Running 0 items in this shard:
2025-12-04T10:40:14.8427965Z 
2025-12-04T10:40:14.8429770Z Finished nn/test_dropout 1/1 ... [2025-12-04 10:40:14.842454][5274.541739826], took 0.08min
2025-12-04T10:40:14.9107986Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-5ecab28a194406f7.xml
2025-12-04T10:40:18.0250070Z W1204 10:40:18.024000 120188 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:40:19.9967641Z Running functorch/dim/test_split 1/1 ... [2025-12-04 10:40:19.996362][5279.695646851]
2025-12-04T10:40:19.9968267Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:19.9971128Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_split.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:19.996772]
2025-12-04T10:40:23.8596817Z 
2025-12-04T10:40:23.8598347Z functorch/dim/test_split 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_split_1.1_ac5fb0baf93aad5c_.log
2025-12-04T10:40:23.8600114Z Running 0 items in this shard:
2025-12-04T10:40:23.8600956Z 
2025-12-04T10:40:23.8602103Z Finished functorch/dim/test_split 1/1 ... [2025-12-04 10:40:23.859638][5283.558917501], took 0.06min
2025-12-04T10:40:23.9012196Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_split/functorch.dim.test_split-779d1c8aa3f95046.xml
2025-12-04T10:40:26.9998599Z W1204 10:40:26.998000 120363 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:40:28.4391280Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:40:28.438606][5288.137889579]
2025-12-04T10:40:28.4392369Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:28.4395734Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:28.439128]
2025-12-04T10:40:32.2097213Z 
2025-12-04T10:40:32.2098577Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_90b36952f6c6a534_.log
2025-12-04T10:40:32.2099996Z Running 0 items in this shard:
2025-12-04T10:40:32.2100329Z 
2025-12-04T10:40:32.2101006Z Finished torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:40:32.209654][5291.908936747], took 0.06min
2025-12-04T10:40:32.2515026Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_type_check/torch_np.numpy_tests.lib.test_type_check-e77efbfc2dbd4c52.xml
2025-12-04T10:40:34.8108138Z W1204 10:40:34.809000 120503 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:40:36.7096602Z Running cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:40:36.709136][5296.408414703]
2025-12-04T10:40:36.7097800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:36.7104143Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/test_libtorch_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:36.709815]
2025-12-04T10:40:42.1805411Z 
2025-12-04T10:40:42.1806830Z 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_8c9e46879c132a1e_.log
2025-12-04T10:40:42.1808416Z Running 0 items in this shard:
2025-12-04T10:40:42.1808733Z 
2025-12-04T10:40:42.1809377Z Finished cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:40:42.180375][5301.879657207], took 0.09min
2025-12-04T10:40:42.2553433Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.test_libtorch_agnostic/cpp_extensions.test_libtorch_agnostic-137d42cdf3f0ab7b.xml
2025-12-04T10:40:45.2987896Z W1204 10:40:45.297000 120678 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:40:46.8905932Z Running test_jit 1/1 ... [2025-12-04 10:40:46.890151][5306.589436147]
2025-12-04T10:40:46.8906524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:40:46.8910077Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:46.890632]
2025-12-04T10:40:58.5597478Z 
2025-12-04T10:40:58.5598707Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_e564f8cec0685b40_.log
2025-12-04T10:40:58.5746294Z Running 450 items in this shard: test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_tensor, test/test_jit.py::TestScript::test_prim_grad_undefined, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_list, 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2025-12-04T10:40:58.5877729Z 
2025-12-04T10:40:58.5878065Z Finished test_jit 1/1 ... [2025-12-04 10:40:58.560450][5318.259731589], took 0.19min
2025-12-04T10:40:58.6471029Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit/test_jit-009e8959ebcd5b3e.xml
2025-12-04T10:41:01.4269062Z W1204 10:41:01.426000 121002 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:02.8559294Z Running test_datapipe 1/1 ... [2025-12-04 10:41:02.855361][5322.55464631]
2025-12-04T10:41:02.8560307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:02.8563299Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_datapipe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:02.855874]
2025-12-04T10:41:06.7730142Z 
2025-12-04T10:41:06.7731506Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_755f6dcc6aea5f3f_.log
2025-12-04T10:41:06.7732960Z Running 0 items in this shard:
2025-12-04T10:41:06.7733335Z 
2025-12-04T10:41:06.7733833Z Finished test_datapipe 1/1 ... [2025-12-04 10:41:06.772931][5326.472215814], took 0.07min
2025-12-04T10:41:06.8378444Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_datapipe/test_datapipe-656da4d9517ce451.xml
2025-12-04T10:41:09.6418660Z W1204 10:41:09.641000 121162 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:11.0799186Z Running test_numba_integration 1/1 ... [2025-12-04 10:41:11.079377][5330.778660245]
2025-12-04T10:41:11.0800175Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:11.0803606Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numba_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:11.079956]
2025-12-04T10:41:15.2244663Z 
2025-12-04T10:41:15.2246690Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_ab87fd020f7317af_.log
2025-12-04T10:41:15.2248017Z Running 0 items in this shard:
2025-12-04T10:41:15.2248305Z 
2025-12-04T10:41:15.2248627Z Finished test_numba_integration 1/1 ... [2025-12-04 10:41:15.224334][5334.923621025], took 0.07min
2025-12-04T10:41:15.3069520Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numba_integration/test_numba_integration-27ebb99212cc3c79.xml
2025-12-04T10:41:18.0492193Z W1204 10:41:18.048000 121298 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:19.4867882Z Running test_functional_optim 1/1 ... [2025-12-04 10:41:19.486202][5339.185486358]
2025-12-04T10:41:19.4868599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:19.4871279Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:19.486777]
2025-12-04T10:41:23.6984582Z 
2025-12-04T10:41:23.6985846Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_648a308d39a59872_.log
2025-12-04T10:41:23.6986892Z Running 0 items in this shard:
2025-12-04T10:41:23.6987143Z 
2025-12-04T10:41:23.6987510Z Finished test_functional_optim 1/1 ... [2025-12-04 10:41:23.698356][5343.397638621], took 0.07min
2025-12-04T10:41:23.7697504Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_optim/test_functional_optim-0869f0f88d2fe524.xml
2025-12-04T10:41:26.4023012Z W1204 10:41:26.401000 121469 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:28.0560624Z Running test_maskedtensor 1/1 ... [2025-12-04 10:41:28.055491][5347.754769108]
2025-12-04T10:41:28.0561295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:28.0567105Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:28.056174]
2025-12-04T10:41:33.8665188Z 
2025-12-04T10:41:33.8666588Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_0e751f3983e7df38_.log
2025-12-04T10:41:33.8668093Z Running 0 items in this shard:
2025-12-04T10:41:33.8668466Z 
2025-12-04T10:41:33.8669000Z Finished test_maskedtensor 1/1 ... [2025-12-04 10:41:33.866390][5353.5656711], took 0.10min
2025-12-04T10:41:33.9515665Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-829876360e8cd5e5.xml
2025-12-04T10:41:37.0690743Z W1204 10:41:37.068000 121681 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:39.0926311Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:41:39.092219][5358.791502077]
2025-12-04T10:41:39.0927065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:39.0931500Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:39.092833]
2025-12-04T10:41:43.2514954Z 
2025-12-04T10:41:43.2516799Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_560af069b43c0b00_.log
2025-12-04T10:41:43.2518323Z Running 0 items in this shard:
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2025-12-04T10:41:43.2519199Z Finished benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:41:43.251432][5362.950711978], took 0.07min
2025-12-04T10:41:43.2942985Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-a58507c52c6d65be.xml
2025-12-04T10:41:46.8592412Z W1204 10:41:46.858000 121817 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:48.8641926Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:41:48.863629][5368.56290792]
2025-12-04T10:41:48.8643015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:48.8649161Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:48.864391]
2025-12-04T10:41:54.5250230Z 
2025-12-04T10:41:54.5252176Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_b84e50a6557c9c52_.log
2025-12-04T10:41:54.5254087Z Running 0 items in this shard:
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2025-12-04T10:41:54.5255482Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:41:54.524824][5374.22409724], took 0.09min
2025-12-04T10:41:54.5934723Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarmath/torch_np.numpy_tests.core.test_scalarmath-08b008349fb87014.xml
2025-12-04T10:41:57.8060374Z W1204 10:41:57.805000 122011 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:59.2765437Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:41:59.276035][5378.975317163]
2025-12-04T10:41:59.2766293Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:59.2770337Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scaled_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:59.276610]
2025-12-04T10:42:03.3436884Z 
2025-12-04T10:42:03.3438439Z test_scaled_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scaled_matmul_cuda_1.1_ddab7faeb5caf52d_.log
2025-12-04T10:42:03.3440036Z Running 0 items in this shard:
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2025-12-04T10:42:03.3442588Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:42:03.343596][5383.042878518], took 0.07min
2025-12-04T10:42:03.4109373Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-71bbe14cc5b06f43.xml
2025-12-04T10:42:06.7730396Z W1204 10:42:06.772000 122192 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:42:08.7289059Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:42:08.728286][5388.427570636]
2025-12-04T10:42:08.7290042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:42:08.7293098Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:08.728832]
2025-12-04T10:42:12.7972031Z 
2025-12-04T10:42:12.7973939Z 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_a512194b46502408_.log
2025-12-04T10:42:12.7975518Z Running 0 items in this shard:
2025-12-04T10:42:12.7975818Z 
2025-12-04T10:42:12.7976510Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:42:12.797093][5392.496376874], took 0.07min
2025-12-04T10:42:12.8435617Z 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-d1d4721fd96c3e2b.xml
2025-12-04T10:42:15.6451956Z W1204 10:42:15.644000 122344 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:42:17.0929801Z Running test_vulkan 1/1 ... [2025-12-04 10:42:17.092529][5396.791814524]
2025-12-04T10:42:17.0930672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:42:17.0934026Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_vulkan.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:17.093011]
2025-12-04T10:42:21.6955310Z 
2025-12-04T10:42:21.6956573Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_b1062dee34f72db9_.log
2025-12-04T10:42:21.6957489Z Running 0 items in this shard:
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2025-12-04T10:42:21.6958040Z Finished test_vulkan 1/1 ... [2025-12-04 10:42:21.695443][5401.394725046], took 0.08min
2025-12-04T10:42:21.7681687Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-cadee78a6af4b4df.xml
2025-12-04T10:42:25.2631526Z W1204 10:42:25.261000 122504 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:42:27.3611224Z Running lazy/test_generator 1/1 ... [2025-12-04 10:42:27.360567][5407.059838405]
2025-12-04T10:42:27.3612179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:42:27.3617423Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:27.361325]
2025-12-04T10:42:32.7103213Z 
2025-12-04T10:42:32.7104680Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_73067cb44b261a6b_.log
2025-12-04T10:42:32.7106254Z Running 0 items in this shard:
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2025-12-04T10:42:32.7107424Z Finished lazy/test_generator 1/1 ... [2025-12-04 10:42:32.710278][5412.409561223], took 0.09min
2025-12-04T10:42:32.7721205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-45919becb43b8f2b.xml
2025-12-04T10:42:36.3589290Z W1204 10:42:36.357000 122716 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:42:38.1543929Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:42:38.153928][5417.853213577]
2025-12-04T10:42:38.1544664Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:42:38.1547008Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:38.154359]
2025-12-04T10:42:42.7491668Z 
2025-12-04T10:42:42.7493289Z 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_9f4307e32bc13b24_.log
2025-12-04T10:42:42.7494545Z Running 0 items in this shard:
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2025-12-04T10:42:42.7503098Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:42:42.749002][5422.448288241], took 0.08min
2025-12-04T10:42:42.8494112Z 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-f05b6a0cfe5d8d6b.xml
2025-12-04T10:42:46.4052063Z W1204 10:42:46.404000 122852 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:42:48.3636407Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:42:48.363081][5428.06236169]
2025-12-04T10:42:48.3637464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:42:48.3642506Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:48.363751]
2025-12-04T10:42:52.5741567Z 
2025-12-04T10:42:52.5743231Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_e4cb53af30a195fd_.log
2025-12-04T10:42:52.5745039Z Running 0 items in this shard:
2025-12-04T10:42:52.5745397Z 
2025-12-04T10:42:52.5746057Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:42:52.574088][5432.273370406], took 0.07min
2025-12-04T10:42:52.6441539Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dtype/torch_np.numpy_tests.core.test_dtype-17712ee60334910f.xml
2025-12-04T10:42:55.2511646Z W1204 10:42:55.250000 123027 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:42:56.8351271Z Running lazy/test_debug_util 1/1 ... [2025-12-04 10:42:56.834642][5436.533924354]
2025-12-04T10:42:56.8351943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:42:56.8356565Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:56.835281]
2025-12-04T10:43:00.6542712Z 
2025-12-04T10:43:00.6543986Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_951789f3f1112fcf_.log
2025-12-04T10:43:00.6545209Z Running 0 items in this shard:
2025-12-04T10:43:00.6545522Z 
2025-12-04T10:43:00.6545966Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 10:43:00.654115][5440.353394374], took 0.06min
2025-12-04T10:43:00.7271304Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-a3e989560881a5a4.xml
2025-12-04T10:43:03.3749749Z W1204 10:43:03.374000 123208 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:43:04.7946840Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 10:43:04.794125][5444.493409633]
2025-12-04T10:43:04.7947791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:43:04.7950757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:04.794640]
2025-12-04T10:43:08.9595149Z 
2025-12-04T10:43:08.9597065Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_4467ec8b4ba8c9c6_.log
2025-12-04T10:43:08.9598433Z Running 0 items in this shard:
2025-12-04T10:43:08.9598775Z 
2025-12-04T10:43:08.9599293Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 10:43:08.959363][5448.658644631], took 0.07min
2025-12-04T10:43:09.0352858Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-68c041a1bcfadccd.xml
2025-12-04T10:43:11.8115896Z W1204 10:43:11.810000 123345 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:43:13.2691853Z Running nn/test_module_hooks 1/1 ... [2025-12-04 10:43:13.268610][5452.967888752]
2025-12-04T10:43:13.2692777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:43:13.2696722Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:13.269239]
2025-12-04T10:43:18.1961370Z 
2025-12-04T10:43:18.1962444Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_a1af856a05080050_.log
2025-12-04T10:43:18.1963457Z Running 0 items in this shard:
2025-12-04T10:43:18.1963710Z 
2025-12-04T10:43:18.1964081Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 10:43:18.196109][5457.895390801], took 0.08min
2025-12-04T10:43:18.2489351Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-24443c37d5c01ea2.xml
2025-12-04T10:43:21.1548661Z W1204 10:43:21.153000 123519 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:43:22.6153928Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:43:22.614860][5462.314143687]
2025-12-04T10:43:22.6154999Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:43:22.6159335Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:22.615444]
2025-12-04T10:43:27.5245131Z 
2025-12-04T10:43:27.5246876Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_731fcca9cc175f2a_.log
2025-12-04T10:43:27.5248910Z Running 0 items in this shard:
2025-12-04T10:43:27.5249315Z 
2025-12-04T10:43:27.5250164Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:43:27.524431][5467.223711661], took 0.08min
2025-12-04T10:43:27.6183498Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_twodim_base/torch_np.numpy_tests.lib.test_twodim_base-b2e80fceb915c7d3.xml
2025-12-04T10:43:30.5648295Z W1204 10:43:30.563000 123713 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:43:32.0434646Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 10:43:32.042978][5471.742262783]
2025-12-04T10:43:32.0435385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:43:32.0438823Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:32.043529]
2025-12-04T10:43:36.3688679Z 
2025-12-04T10:43:36.3690414Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_c4f4d5964040fe96_.log
2025-12-04T10:43:36.3743681Z Running 50 items in this shard: test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none
2025-12-04T10:43:36.3795439Z 
2025-12-04T10:43:36.3796195Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 10:43:36.368929][5476.068206104], took 0.07min
2025-12-04T10:43:36.4267766Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-a537e9984be3e211.xml
2025-12-04T10:43:39.7063945Z W1204 10:43:39.705000 123853 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:43:41.6621030Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 10:43:41.661514][5481.360787007]
2025-12-04T10:43:41.6621699Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:43:41.6628595Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:41.662272]
2025-12-04T10:43:46.8755494Z 
2025-12-04T10:43:46.8756617Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_5e649e567d6d3191_.log
2025-12-04T10:43:46.8757616Z Running 0 items in this shard:
2025-12-04T10:43:46.8757862Z 
2025-12-04T10:43:46.8766870Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 10:43:46.875341][5486.574624211], took 0.09min
2025-12-04T10:43:46.9535404Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-926b6c1a1769be2e.xml
2025-12-04T10:43:49.5808761Z W1204 10:43:49.579000 124043 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:43:51.0714151Z Running test_serialization 1/1 ... [2025-12-04 10:43:51.070897][5490.77018042]
2025-12-04T10:43:51.0714808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:43:51.0719506Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:51.071438]
2025-12-04T10:43:55.8452524Z 
2025-12-04T10:43:55.8453617Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_fd7c4b52953970b1_.log
2025-12-04T10:43:55.8454629Z Running 0 items in this shard:
2025-12-04T10:43:55.8454897Z 
2025-12-04T10:43:55.8455255Z Finished test_serialization 1/1 ... [2025-12-04 10:43:55.845114][5495.544398748], took 0.08min
2025-12-04T10:43:55.8928244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-3d1b75f38f80d7d6.xml
2025-12-04T10:43:58.6584388Z W1204 10:43:58.657000 124224 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:44:00.0941556Z Running optim/test_optim 1/1 ... [2025-12-04 10:44:00.093692][5499.792976586]
2025-12-04T10:44:00.0942471Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:00.0946358Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:00.094243]
2025-12-04T10:44:03.7754627Z 
2025-12-04T10:44:03.7755965Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_b6733c8faea169f2_.log
2025-12-04T10:44:03.7756993Z 
2025-12-04T10:44:03.7757426Z Finished optim/test_optim 1/1 ... [2025-12-04 10:44:03.775318][5503.474600547], took 0.06min
2025-12-04T10:44:07.1581534Z W1204 10:44:07.157000 124357 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:44:09.1141923Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:44:09.113711][5508.812991762]
2025-12-04T10:44:09.1142694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:09.1147798Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:09.114318]
2025-12-04T10:44:14.3482690Z 
2025-12-04T10:44:14.3484496Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_40338fbdcc8f2ac3_.log
2025-12-04T10:44:14.3486390Z Running 0 items in this shard:
2025-12-04T10:44:14.3486754Z 
2025-12-04T10:44:14.3487450Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:44:14.348208][5514.0474911], took 0.09min
2025-12-04T10:44:14.4066783Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_pocketfft/torch_np.numpy_tests.fft.test_pocketfft-80736cdb6ee9289b.xml
2025-12-04T10:44:17.4294427Z W1204 10:44:17.428000 124535 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:44:18.8896180Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:44:18.889067][5518.588351865]
2025-12-04T10:44:18.8897260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:18.8900454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:18.889596]
2025-12-04T10:44:23.8139175Z 
2025-12-04T10:44:23.8141446Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_94b3cfdb89e70c6e_.log
2025-12-04T10:44:23.8143466Z Running 0 items in this shard:
2025-12-04T10:44:23.8143879Z 
2025-12-04T10:44:23.8144675Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:44:23.813735][5523.513018945], took 0.08min
2025-12-04T10:44:23.8927739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_shape_base_/torch_np.numpy_tests.lib.test_shape_base_-8544b14824324f86.xml
2025-12-04T10:44:26.5720345Z W1204 10:44:26.571000 124729 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:44:28.0450075Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:44:28.044567][5527.743852111]
2025-12-04T10:44:28.0450841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:28.0454418Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:28.045073]
2025-12-04T10:44:32.1886737Z 
2025-12-04T10:44:32.1888669Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_2fdef2db1933a86d_.log
2025-12-04T10:44:32.1889952Z Running 0 items in this shard:
2025-12-04T10:44:32.1890491Z 
2025-12-04T10:44:32.1891276Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:44:32.188708][5531.88799051], took 0.07min
2025-12-04T10:44:32.2348646Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_getlimits/torch_np.numpy_tests.core.test_getlimits-3e37b631f8f373ce.xml
2025-12-04T10:44:35.3181569Z W1204 10:44:35.317000 124822 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:44:36.8540754Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:44:36.853593][5536.552878436]
2025-12-04T10:44:36.8541745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:36.8544809Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:36.854077]
2025-12-04T10:44:42.9543116Z 
2025-12-04T10:44:42.9544550Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_01455fae97e9723f_.log
2025-12-04T10:44:42.9545683Z Running 0 items in this shard:
2025-12-04T10:44:42.9545947Z 
2025-12-04T10:44:42.9546351Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:44:42.954073][5542.653357491], took 0.10min
2025-12-04T10:44:43.0245140Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-821da5e924c10d8f.xml
2025-12-04T10:44:45.6180182Z W1204 10:44:45.617000 125040 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:44:47.4985899Z Running test_view_ops 1/1 ... [2025-12-04 10:44:47.498144][5547.197427681]
2025-12-04T10:44:47.4987099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:47.4990225Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:47.498641]
2025-12-04T10:44:52.3880866Z 
2025-12-04T10:44:52.3882310Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_0e9960c919ef5e13_.log
2025-12-04T10:44:52.3883640Z Running 0 items in this shard:
2025-12-04T10:44:52.3883998Z 
2025-12-04T10:44:52.3884564Z Finished test_view_ops 1/1 ... [2025-12-04 10:44:52.387969][5552.087252793], took 0.08min
2025-12-04T10:44:52.4351347Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-b82828005815853e.xml
2025-12-04T10:44:55.8606543Z W1204 10:44:55.859000 125155 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:44:57.4378055Z Running test_type_info 1/1 ... [2025-12-04 10:44:57.437332][5557.136616618]
2025-12-04T10:44:57.4378683Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:44:57.4381637Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:57.437819]
2025-12-04T10:45:01.1915058Z 
2025-12-04T10:45:01.1916414Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_eab6d495680ba03e_.log
2025-12-04T10:45:01.1917726Z Running 0 items in this shard:
2025-12-04T10:45:01.1918099Z 
2025-12-04T10:45:01.1918549Z Finished test_type_info 1/1 ... [2025-12-04 10:45:01.191415][5560.890694072], took 0.06min
2025-12-04T10:45:01.2689127Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-2b3374ac7cab67f2.xml
2025-12-04T10:45:04.0551499Z W1204 10:45:04.054000 125352 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:45:05.4734691Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 10:45:05.472945][5565.172228603]
2025-12-04T10:45:05.4735692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:45:05.4739324Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:05.473520]
2025-12-04T10:45:14.0930337Z 
2025-12-04T10:45:14.0931949Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_86b2c18bedd96dba_.log
2025-12-04T10:45:14.0933559Z Running 0 items in this shard:
2025-12-04T10:45:14.0933884Z 
2025-12-04T10:45:14.0934405Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 10:45:14.092902][5573.792179775], took 0.14min
2025-12-04T10:45:14.1861459Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-41b032dd27045437.xml
2025-12-04T10:45:17.6656166Z W1204 10:45:17.664000 125582 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:45:19.6280089Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 10:45:19.627545][5579.326829431]
2025-12-04T10:45:19.6280843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:45:19.6284497Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:19.628046]
2025-12-04T10:45:23.9819008Z 
2025-12-04T10:45:23.9821312Z 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_8dfec2937c03a0fb_.log
2025-12-04T10:45:23.9822360Z Running 0 items in this shard:
2025-12-04T10:45:23.9822563Z 
2025-12-04T10:45:23.9822931Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 10:45:23.981790][5583.681073415], took 0.07min
2025-12-04T10:45:24.0603885Z 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-dfe76c738cd56df3.xml
2025-12-04T10:45:27.6428955Z W1204 10:45:27.641000 125779 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:45:29.0838979Z Running test_cuda_multigpu 1/1 ... [2025-12-04 10:45:29.083328][5588.782612589]
2025-12-04T10:45:29.0839903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:45:29.0842787Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:29.083833]
2025-12-04T10:45:33.2323780Z 
2025-12-04T10:45:33.2325168Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_ac163f4242a54595_.log
2025-12-04T10:45:33.2326512Z Running 0 items in this shard:
2025-12-04T10:45:33.2326839Z 
2025-12-04T10:45:33.2327330Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 10:45:33.232346][5592.931629002], took 0.07min
2025-12-04T10:45:33.2800631Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-13f812d6acf239e4.xml
2025-12-04T10:45:35.8575751Z W1204 10:45:35.856000 125915 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:45:37.2728768Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 10:45:37.272287][5596.971569548]
2025-12-04T10:45:37.2729961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:45:37.2733579Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:37.272883]
2025-12-04T10:45:42.2811252Z 
2025-12-04T10:45:42.2813290Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_ee5ad934d8ac270d_.log
2025-12-04T10:45:42.2814907Z Running 0 items in this shard:
2025-12-04T10:45:42.2815250Z 
2025-12-04T10:45:42.2815876Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 10:45:42.281041][5601.980325649], took 0.08min
2025-12-04T10:45:42.3687460Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_index_tricks/torch_np.numpy_tests.lib.test_index_tricks-be91e52f0c25ce91.xml
2025-12-04T10:45:45.2312705Z W1204 10:45:45.230000 126112 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:45:47.3802217Z Running test_jit_autocast 1/1 ... [2025-12-04 10:45:47.379774][5607.079057747]
2025-12-04T10:45:47.3803235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:45:47.3808705Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:47.380407]
2025-12-04T10:45:53.9729938Z 
2025-12-04T10:45:53.9731012Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_f4117035b3dd1001_.log
2025-12-04T10:45:53.9732151Z Running 0 items in this shard:
2025-12-04T10:45:53.9732500Z 
2025-12-04T10:45:53.9733058Z Finished test_jit_autocast 1/1 ... [2025-12-04 10:45:53.972935][5613.672217726], took 0.11min
2025-12-04T10:45:54.0220925Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-6091ad2333d7b330.xml
2025-12-04T10:45:56.9510498Z W1204 10:45:56.949000 126323 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:45:59.0046109Z Running nn/test_embedding 1/1 ... [2025-12-04 10:45:59.004182][5618.70346505]
2025-12-04T10:45:59.0046766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:45:59.0050733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:59.004697]
2025-12-04T10:46:05.1398154Z 
2025-12-04T10:46:05.1399859Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_c4358557b2b246c4_.log
2025-12-04T10:46:05.1400854Z Running 0 items in this shard:
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2025-12-04T10:46:05.1401464Z Finished nn/test_embedding 1/1 ... [2025-12-04 10:46:05.139687][5624.838971036], took 0.10min
2025-12-04T10:46:05.2143793Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-885151a597f0e975.xml
2025-12-04T10:46:08.4165363Z W1204 10:46:08.415000 126520 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:46:09.9127246Z Running test_unary_ufuncs 1/1 ... [2025-12-04 10:46:09.912267][5629.611551934]
2025-12-04T10:46:09.9127916Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:09.9133779Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:09.912859]
2025-12-04T10:46:15.1016782Z 
2025-12-04T10:46:15.1018138Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_a68e9d4778a1302a_.log
2025-12-04T10:46:15.1019624Z Running 0 items in this shard:
2025-12-04T10:46:15.1019992Z 
2025-12-04T10:46:15.1020514Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 10:46:15.101660][5634.800939839], took 0.09min
2025-12-04T10:46:15.1821440Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-678fbf5d14a6eb40.xml
2025-12-04T10:46:18.0401073Z W1204 10:46:18.038000 126671 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:46:19.9730018Z Running test_xnnpack_integration 1/1 ... [2025-12-04 10:46:19.972399][5639.671682365]
2025-12-04T10:46:19.9730715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:19.9732711Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:19.972908]
2025-12-04T10:46:24.3058100Z 
2025-12-04T10:46:24.3060362Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_eedc227014163eba_.log
2025-12-04T10:46:24.3061863Z Running 0 items in this shard:
2025-12-04T10:46:24.3062154Z 
2025-12-04T10:46:24.3062596Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 10:46:24.305767][5644.005045974], took 0.07min
2025-12-04T10:46:24.3739889Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-e20bad0fb180f4a1.xml
2025-12-04T10:46:27.8666637Z W1204 10:46:27.865000 126846 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:46:29.8870764Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:46:29.886573][5649.585853528]
2025-12-04T10:46:29.8871545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:29.8876196Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:29.887186]
2025-12-04T10:46:34.0751450Z 
2025-12-04T10:46:34.0753097Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_ff95d1fd4abddd97_.log
2025-12-04T10:46:34.0754808Z Running 0 items in this shard:
2025-12-04T10:46:34.0755119Z 
2025-12-04T10:46:34.0755730Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:46:34.074841][5653.774117921], took 0.07min
2025-12-04T10:46:34.1594505Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-da0e12449398a2ac.xml
2025-12-04T10:46:36.8529883Z W1204 10:46:36.852000 126961 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:46:38.3621720Z Running test_function_schema 1/1 ... [2025-12-04 10:46:38.361676][5658.060961599]
2025-12-04T10:46:38.3623930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:38.3626445Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:38.362163]
2025-12-04T10:46:43.0809736Z 
2025-12-04T10:46:43.0811380Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_0642fa468f56e57c_.log
2025-12-04T10:46:43.0812877Z Running 0 items in this shard:
2025-12-04T10:46:43.0813258Z 
2025-12-04T10:46:43.0813759Z Finished test_function_schema 1/1 ... [2025-12-04 10:46:43.080836][5662.780117556], took 0.08min
2025-12-04T10:46:43.1675552Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-f40309a843af1799.xml
2025-12-04T10:46:46.3547430Z W1204 10:46:46.353000 127158 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:46:48.6677474Z Running nn/test_init 1/1 ... [2025-12-04 10:46:48.667197][5668.366479286]
2025-12-04T10:46:48.6678091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:48.6682345Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:48.667862]
2025-12-04T10:46:53.6051171Z 
2025-12-04T10:46:53.6052630Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_d418354007346ddf_.log
2025-12-04T10:46:53.6053541Z Running 0 items in this shard:
2025-12-04T10:46:53.6053803Z 
2025-12-04T10:46:53.6054106Z Finished nn/test_init 1/1 ... [2025-12-04 10:46:53.605034][5673.304315999], took 0.08min
2025-12-04T10:46:53.6585073Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-d9f7941945b3ba89.xml
2025-12-04T10:46:57.3274471Z W1204 10:46:57.326000 127369 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:46:59.1009940Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:46:59.100399][5678.799680679]
2025-12-04T10:46:59.1010742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:46:59.1014329Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:59.101060]
2025-12-04T10:47:03.6989720Z 
2025-12-04T10:47:03.6991744Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_b7280d88583527c0_.log
2025-12-04T10:47:03.6994094Z Running 0 items in this shard:
2025-12-04T10:47:03.6994637Z 
2025-12-04T10:47:03.6995942Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:47:03.698886][5683.398166718], took 0.08min
2025-12-04T10:47:03.7517315Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-00b6d90ae2a0bbbb.xml
2025-12-04T10:47:07.1813048Z W1204 10:47:07.180000 127484 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:47:08.7156669Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:47:08.715143][5688.414426738]
2025-12-04T10:47:08.7157631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:08.7162299Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:08.715788]
2025-12-04T10:47:12.8312733Z 
2025-12-04T10:47:12.8320458Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_5828cd235630a6ee_.log
2025-12-04T10:47:12.8331703Z Running 0 items in this shard:
2025-12-04T10:47:12.8337762Z 
2025-12-04T10:47:12.8345135Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:47:12.834104][5692.533377954], took 0.07min
2025-12-04T10:47:12.9592641Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-023b2cad4ce30247.xml
2025-12-04T10:47:15.9721768Z W1204 10:47:15.970000 127659 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:47:17.5284977Z Running torch_np/test_function_base 1/1 ... [2025-12-04 10:47:17.527986][5697.227270978]
2025-12-04T10:47:17.5285902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:17.5289762Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:17.528553]
2025-12-04T10:47:21.3977457Z 
2025-12-04T10:47:21.3978979Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_21661f156302a9a5_.log
2025-12-04T10:47:21.3980298Z Running 0 items in this shard:
2025-12-04T10:47:21.3980599Z 
2025-12-04T10:47:21.3981100Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 10:47:21.397604][5701.096886922], took 0.06min
2025-12-04T10:47:21.4864903Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-635651fdb6dfb7ea.xml
2025-12-04T10:47:24.6826809Z W1204 10:47:24.681000 127840 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:47:26.7559802Z Running test_type_promotion 1/1 ... [2025-12-04 10:47:26.755410][5706.454692897]
2025-12-04T10:47:26.7560903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:26.7566185Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:26.756059]
2025-12-04T10:47:32.6554228Z 
2025-12-04T10:47:32.6555733Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_b6d8c9a21943291c_.log
2025-12-04T10:47:32.6557213Z Running 0 items in this shard:
2025-12-04T10:47:32.6557601Z 
2025-12-04T10:47:32.6558211Z Finished test_type_promotion 1/1 ... [2025-12-04 10:47:32.655270][5712.354552537], took 0.10min
2025-12-04T10:47:32.7390256Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-aeed31c6a707cde1.xml
2025-12-04T10:47:36.0055933Z W1204 10:47:36.004000 127992 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:47:37.9620607Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:47:37.961535][5717.66081842]
2025-12-04T10:47:37.9621328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:37.9625113Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:37.962165]
2025-12-04T10:47:42.0804611Z 
2025-12-04T10:47:42.0806269Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_f7cd164b1a25f7cd_.log
2025-12-04T10:47:42.0808418Z Running 0 items in this shard:
2025-12-04T10:47:42.0808865Z 
2025-12-04T10:47:42.0809512Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:47:42.080390][5721.779670814], took 0.07min
2025-12-04T10:47:42.1513735Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-442650170504fc75.xml
2025-12-04T10:47:45.2058753Z W1204 10:47:45.205000 128151 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:47:46.6429666Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 10:47:46.642510][5726.341793747]
2025-12-04T10:47:46.6430507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:46.6435581Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:46.643102]
2025-12-04T10:47:51.1939144Z 
2025-12-04T10:47:51.1941302Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_4c05b8a20aa2a229_.log
2025-12-04T10:47:51.1942958Z Running 0 items in this shard:
2025-12-04T10:47:51.1943288Z 
2025-12-04T10:47:51.1943818Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 10:47:51.192607][5730.891890592], took 0.08min
2025-12-04T10:47:51.2777878Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-0500132088efd4fd.xml
2025-12-04T10:47:53.8258547Z W1204 10:47:53.824000 128345 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:47:55.3151270Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:47:55.314636][5735.013919533]
2025-12-04T10:47:55.3152074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:47:55.3155424Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:55.315204]
2025-12-04T10:47:59.9292810Z 
2025-12-04T10:47:59.9295236Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_3746fa462daa91a1_.log
2025-12-04T10:47:59.9297187Z Running 0 items in this shard:
2025-12-04T10:47:59.9297557Z 
2025-12-04T10:47:59.9298289Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:47:59.929244][5739.628528376], took 0.08min
2025-12-04T10:48:00.0167091Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-60e12fcf772a6b0b.xml
2025-12-04T10:48:03.1734532Z W1204 10:48:03.172000 128460 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:04.5911693Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 10:48:04.590660][5744.28994525]
2025-12-04T10:48:04.5912382Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:04.5915357Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:04.591185]
2025-12-04T10:48:09.6736567Z 
2025-12-04T10:48:09.6738043Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_d26a73fe389f342b_.log
2025-12-04T10:48:09.6759836Z Running 50 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids
2025-12-04T10:48:09.6779556Z 
2025-12-04T10:48:09.6779881Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 10:48:09.673656][5749.37294049], took 0.08min
2025-12-04T10:48:09.7432173Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-4751b4e445255e64.xml
2025-12-04T10:48:12.3494145Z W1204 10:48:12.348000 128636 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:13.8400714Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 10:48:13.839439][5753.538722381]
2025-12-04T10:48:13.8401709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:13.8406209Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:13.840036]
2025-12-04T10:48:17.5467917Z 
2025-12-04T10:48:17.5469408Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_0ea49367c3dc1575_.log
2025-12-04T10:48:17.5470469Z Running 0 items in this shard:
2025-12-04T10:48:17.5470798Z 
2025-12-04T10:48:17.5471193Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 10:48:17.546683][5757.245969258], took 0.06min
2025-12-04T10:48:17.5985566Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-ad5dddb44dd3bf83.xml
2025-12-04T10:48:20.2138219Z W1204 10:48:20.212000 128772 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:21.6222068Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:48:21.621720][5761.321005401]
2025-12-04T10:48:21.6222746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:21.6225394Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:21.622201]
2025-12-04T10:48:26.6383610Z 
2025-12-04T10:48:26.6384846Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_ab858062e762ccb1_.log
2025-12-04T10:48:26.6386034Z Running 0 items in this shard:
2025-12-04T10:48:26.6386552Z 
2025-12-04T10:48:26.6387037Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:48:26.638096][5766.337380768], took 0.08min
2025-12-04T10:48:26.7213077Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-4d89f95d12ac3413.xml
2025-12-04T10:48:29.4704254Z W1204 10:48:29.469000 128947 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:31.0045419Z Running torch_np/test_reductions 1/1 ... [2025-12-04 10:48:31.003986][5770.703270118]
2025-12-04T10:48:31.0046393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:31.0051381Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:31.004644]
2025-12-04T10:48:36.8355645Z 
2025-12-04T10:48:36.8356831Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_b8ca24038d90f8b0_.log
2025-12-04T10:48:36.8357891Z Running 0 items in this shard:
2025-12-04T10:48:36.8358136Z 
2025-12-04T10:48:36.8358533Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 10:48:36.835443][5776.534724673], took 0.10min
2025-12-04T10:48:36.9272193Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-259d0fac4f7e26ce.xml
2025-12-04T10:48:39.7669317Z W1204 10:48:39.766000 129129 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:41.2003083Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:48:41.199730][5780.899013312]
2025-12-04T10:48:41.2004241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:41.2008292Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:41.200272]
2025-12-04T10:48:42.5651875Z 
2025-12-04T10:48:42.5653117Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_72911eef053fa0c1_.log
2025-12-04T10:48:42.5669143Z Running 50 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops
2025-12-04T10:48:42.5684527Z 
2025-12-04T10:48:42.5684816Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 10:48:42.565210][5782.264492605], took 16.99min
2025-12-04T10:48:42.6103112Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-21ffc3f946c618a0.xml
2025-12-04T10:48:44.9371339Z 
2025-12-04T10:48:44.9373049Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_9a9e9acb4162ae58_.log
2025-12-04T10:48:44.9374200Z Running 0 items in this shard:
2025-12-04T10:48:44.9374520Z 
2025-12-04T10:48:44.9374927Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:48:44.937037][5784.636321556], took 0.06min
2025-12-04T10:48:44.9894596Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-0038629863c8b103.xml
2025-12-04T10:48:45.0640539Z W1204 10:48:45.063000 129218 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:46.5617547Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:48:46.561313][5786.260597806]
2025-12-04T10:48:46.5618149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:46.5622081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:46.561826]
2025-12-04T10:48:47.5010046Z W1204 10:48:47.500000 129297 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:48.8572193Z Running test_prims 1/1 ... [2025-12-04 10:48:48.856749][5788.556033334]
2025-12-04T10:48:48.8572925Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:48.8577661Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:48.857321]
2025-12-04T10:48:50.0709315Z 
2025-12-04T10:48:50.0710658Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_ffb3607e6fd22f8a_.log
2025-12-04T10:48:50.0711691Z Running 0 items in this shard:
2025-12-04T10:48:50.0711904Z 
2025-12-04T10:48:50.0712274Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:48:50.070865][5789.770149989], took 0.06min
2025-12-04T10:48:50.1242218Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-9fb48fba63b1a6f1.xml
2025-12-04T10:48:52.6473653Z W1204 10:48:52.646000 129449 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:53.9221822Z 
2025-12-04T10:48:53.9222955Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_9aa4a6b88596d40a_.log
2025-12-04T10:48:53.9223926Z Running 0 items in this shard:
2025-12-04T10:48:53.9224129Z 
2025-12-04T10:48:53.9224397Z Finished test_prims 1/1 ... [2025-12-04 10:48:53.922084][5793.621369901], took 0.08min
2025-12-04T10:48:54.0021215Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-9b2e5ee02c8140fc.xml
2025-12-04T10:48:54.0278366Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 10:48:54.027497][5793.726780858]
2025-12-04T10:48:54.0278901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:54.0282887Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:54.027964]
2025-12-04T10:48:56.5436188Z W1204 10:48:56.542000 129537 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:48:57.6467896Z 
2025-12-04T10:48:57.6469528Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_34d49f4ec4e6d450_.log
2025-12-04T10:48:57.6471205Z Running 0 items in this shard:
2025-12-04T10:48:57.6471586Z 
2025-12-04T10:48:57.6472190Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 10:48:57.646684][5797.345969532], took 0.06min
2025-12-04T10:48:57.7292554Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-56e45d1f584b2760.xml
2025-12-04T10:48:57.9689353Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 10:48:57.968485][5797.667770423]
2025-12-04T10:48:57.9690320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:48:57.9693545Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:57.968991]
2025-12-04T10:49:00.1891579Z W1204 10:49:00.188000 129618 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:49:01.4915950Z 
2025-12-04T10:49:01.4917795Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_8075c941699eb47d_.log
2025-12-04T10:49:01.4919139Z Running 0 items in this shard:
2025-12-04T10:49:01.4919363Z 
2025-12-04T10:49:01.4919921Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 10:49:01.491626][5801.190908422], took 0.06min
2025-12-04T10:49:01.5445144Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-255c36ef79571128.xml
2025-12-04T10:49:03.9436199Z W1204 10:49:03.942000 129733 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:25:08.6938098Z 
2025-12-04T11:25:08.6940958Z 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_f3a47cb56373dfeb_.log
2025-12-04T11:25:08.7074363Z Running 350 items in this shard: 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_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_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_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, 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test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing
2025-12-04T11:25:08.7206044Z 
2025-12-04T11:25:08.7206389Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 11:25:08.693943][7968.39322695], took 78.24min
2025-12-04T11:25:08.7207838Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_graph_runnable/dynamo.test_fx_graph_runnable-8cd6bbd99fa98639.xml
2025-12-04T11:25:09.2990611Z Uploading artifacts took 0.46 seconds
2025-12-04T11:25:10.1118415Z Running test batch 'tests to run' cost 6851.59 seconds
2025-12-04T11:25:10.1132447Z Emitting td_test_failure_stats_v2
2025-12-04T11:25:10.1136703Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764847510_e4bc3d0ad10311f0ad5c0242ac110002
2025-12-04T11:25:10.2654120Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764847510_e4bc3d0ad10311f0ad5c0242ac110002 
2025-12-04T11:25:10.2672646Z Emitting td_test_failure_stats_v2
2025-12-04T11:25:10.2675994Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764847510_e4d3b836d10311f0ad5c0242ac110002
2025-12-04T11:25:10.3016078Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764847510_e4d3b836d10311f0ad5c0242ac110002 
2025-12-04T11:25:10.3018026Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T11:25:10.3018729Z test_dynamic_shapes 1/1 failed!
2025-12-04T11:25:11.6207503Z 
2025-12-04T11:25:11.6208028Z real	114m18.449s
2025-12-04T11:25:11.6208403Z user	310m2.614s
2025-12-04T11:25:11.6208642Z sys	71m3.233s
2025-12-04T11:25:11.6208881Z + assert_git_not_dirty
2025-12-04T11:25:11.6216438Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:25:11.6217168Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:25:11.6243536Z ++ git status --porcelain
2025-12-04T11:25:11.6243877Z ++ grep -v '?? third_party'
2025-12-04T11:25:56.7440684Z ++ true
2025-12-04T11:25:56.7492672Z + git_status=
2025-12-04T11:25:56.7493144Z + [[ -n '' ]]
2025-12-04T11:25:56.7493593Z + test_aten
2025-12-04T11:25:56.7503982Z + echo 'Running ATen tests with pytorch lib'
2025-12-04T11:25:56.7504605Z Running ATen tests with pytorch lib
2025-12-04T11:25:56.7504996Z + [[ -n '' ]]
2025-12-04T11:25:56.7505428Z + echo 'Running test with the build folder'
2025-12-04T11:25:56.7506402Z Running test with the build folder
2025-12-04T11:25:56.7506810Z + TEST_BASE_DIR=build/bin
2025-12-04T11:25:56.7511432Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin
2025-12-04T11:25:56.7547684Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin
2025-12-04T11:25:56.7566575Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-12-04T11:25:56.7580256Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-12-04T11:25:56.7597495Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_nvshmem.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin
2025-12-04T11:25:56.7607914Z + ls build/bin
2025-12-04T11:25:56.7679755Z  BackoffTest
2025-12-04T11:25:56.7680152Z  CppSignature_test
2025-12-04T11:25:56.7680481Z  Dict_test
2025-12-04T11:25:56.7680810Z  Dimname_test
2025-12-04T11:25:56.7681323Z  FileStoreTest
2025-12-04T11:25:56.7681554Z  HashStoreTest
2025-12-04T11:25:56.7681946Z  IListRef_test
2025-12-04T11:25:56.7682410Z  KernelFunction_test
2025-12-04T11:25:56.7682814Z  List_test
2025-12-04T11:25:56.7683227Z  MaybeOwned_test
2025-12-04T11:25:56.7683686Z  NamedTensor_test
2025-12-04T11:25:56.7684172Z  ProcessGroupGlooAsyncTest
2025-12-04T11:25:56.7684742Z  ProcessGroupGlooTest
2025-12-04T11:25:56.7685251Z  ProcessGroupMPITest
2025-12-04T11:25:56.7685773Z  ProcessGroupNCCLErrorsTest
2025-12-04T11:25:56.7686329Z  ProcessGroupNCCLTest
2025-12-04T11:25:56.7686803Z  StorageUtils_test
2025-12-04T11:25:56.7687057Z  TCPStoreTest
2025-12-04T11:25:56.7687554Z  apply_utils_test
2025-12-04T11:25:56.7687794Z  atest
2025-12-04T11:25:56.7688030Z  backend_fallback_test
2025-12-04T11:25:56.7688575Z  basic
2025-12-04T11:25:56.7689059Z  broadcast_test
2025-12-04T11:25:56.7689396Z  c10_AllocatorConfig_test
2025-12-04T11:25:56.7689683Z  c10_ArrayRef_test
2025-12-04T11:25:56.7689928Z  c10_Bitset_test
2025-12-04T11:25:56.7690187Z  c10_CompileTimeFunctionPointer_test
2025-12-04T11:25:56.7690521Z  c10_ConstexprCrc_test
2025-12-04T11:25:56.7690798Z  c10_DeadlockDetection_test
2025-12-04T11:25:56.7691073Z  c10_DeviceGuard_test
2025-12-04T11:25:56.7691328Z  c10_Device_test
2025-12-04T11:25:56.7691584Z  c10_DispatchKeySet_test
2025-12-04T11:25:56.7691857Z  c10_Enumerate_test
2025-12-04T11:25:56.7692101Z  c10_Half_test
2025-12-04T11:25:56.7692351Z  c10_InlineDeviceGuard_test
2025-12-04T11:25:56.7692635Z  c10_InlineStreamGuard_test
2025-12-04T11:25:56.7692926Z  c10_IntrusiveList_test
2025-12-04T11:25:56.7693194Z  c10_LeftRight_test
2025-12-04T11:25:56.7693435Z  c10_NetworkFlow_test
2025-12-04T11:25:56.7693698Z  c10_Scalar_test
2025-12-04T11:25:56.7693950Z  c10_Semaphore_test
2025-12-04T11:25:56.7694198Z  c10_SizesAndStrides_test
2025-12-04T11:25:56.7694483Z  c10_StreamGuard_test
2025-12-04T11:25:56.7694741Z  c10_SymInt_test
2025-12-04T11:25:56.7694974Z  c10_Synchronized_test
2025-12-04T11:25:56.7695241Z  c10_ThreadLocal_test
2025-12-04T11:25:56.7695506Z  c10_TypeIndex_test
2025-12-04T11:25:56.7695746Z  c10_accumulate_test
2025-12-04T11:25:56.7696004Z  c10_bfloat16_test
2025-12-04T11:25:56.7696246Z  c10_bit_cast_test
2025-12-04T11:25:56.7696481Z  c10_complex_math_test
2025-12-04T11:25:56.7696741Z  c10_complex_test
2025-12-04T11:25:56.7696979Z  c10_cow_test
2025-12-04T11:25:56.7697370Z  c10_cuda_CUDAAssertionsTest_1_var_test
2025-12-04T11:25:56.7697729Z  c10_cuda_CUDAAssertionsTest_catches_stream
2025-12-04T11:25:56.7698189Z  c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device
2025-12-04T11:25:56.7698663Z  c10_cuda_CUDAAssertionsTest_from_2_processes
2025-12-04T11:25:56.7699130Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads
2025-12-04T11:25:56.7699786Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks
2025-12-04T11:25:56.7700322Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block
2025-12-04T11:25:56.7700713Z  c10_cuda_CUDATest
2025-12-04T11:25:56.7700958Z  c10_error_test
2025-12-04T11:25:56.7701203Z  c10_exception_test
2025-12-04T11:25:56.7701436Z  c10_flags_test
2025-12-04T11:25:56.7701678Z  c10_generic_math_test
2025-12-04T11:25:56.7701955Z  c10_intrusive_ptr_benchmark
2025-12-04T11:25:56.7702238Z  c10_intrusive_ptr_test
2025-12-04T11:25:56.7702502Z  c10_irange_test
2025-12-04T11:25:56.7702742Z  c10_lazy_test
2025-12-04T11:25:56.7702976Z  c10_logging_test
2025-12-04T11:25:56.7703204Z  c10_nofatal_test
2025-12-04T11:25:56.7703448Z  c10_optional_test
2025-12-04T11:25:56.7703714Z  c10_ordered_preserving_dict_test
2025-12-04T11:25:56.7704006Z  c10_registry_test
2025-12-04T11:25:56.7704257Z  c10_small_vector_test
2025-12-04T11:25:56.7704518Z  c10_ssize_test
2025-12-04T11:25:56.7704737Z  c10_string_util_test
2025-12-04T11:25:56.7705008Z  c10_string_view_test
2025-12-04T11:25:56.7705260Z  c10_tempfile_test
2025-12-04T11:25:56.7705500Z  c10_typeid_test
2025-12-04T11:25:56.7705730Z  cpu_allocator_test
2025-12-04T11:25:56.7705980Z  cpu_generator_test
2025-12-04T11:25:56.7706243Z  cpu_profiling_allocator_test
2025-12-04T11:25:56.7706523Z  cpu_rng_test
2025-12-04T11:25:56.7706782Z  cuda_allocatorTraceTracker_test
2025-12-04T11:25:56.7707425Z  cuda_allocator_test
2025-12-04T11:25:56.7707702Z  cuda_apply_test
2025-12-04T11:25:56.7707952Z  cuda_atomic_ops_test
2025-12-04T11:25:56.7708231Z  cuda_caching_host_allocator_test
2025-12-04T11:25:56.7708535Z  cuda_complex_math_test
2025-12-04T11:25:56.7708807Z  cuda_complex_test
2025-12-04T11:25:56.7709048Z  cuda_cub_test
2025-12-04T11:25:56.7709287Z  cuda_cublas_handle_pool_test
2025-12-04T11:25:56.7709572Z  cuda_cudnn_test
2025-12-04T11:25:56.7709812Z  cuda_device_test
2025-12-04T11:25:56.7710132Z  cuda_distributions_test
2025-12-04T11:25:56.7710414Z  cuda_dlconvertor_test
2025-12-04T11:25:56.7710684Z  cuda_event_test
2025-12-04T11:25:56.7710922Z  cuda_exchange_device_test
2025-12-04T11:25:56.7711208Z  cuda_generator_test
2025-12-04T11:25:56.7711461Z  cuda_half_test
2025-12-04T11:25:56.7711695Z  cuda_integer_divider_test
2025-12-04T11:25:56.7711974Z  cuda_optional_test
2025-12-04T11:25:56.7712261Z  cuda_packedtensoraccessor_test
2025-12-04T11:25:56.7712567Z  cuda_reportMemoryUsage_test
2025-12-04T11:25:56.7712860Z  cuda_stream_test
2025-12-04T11:25:56.7713114Z  cuda_vectorized_test
2025-12-04T11:25:56.7713367Z  dlconvertor_test
2025-12-04T11:25:56.7713616Z  example_allreduce
2025-12-04T11:25:56.7713875Z  extension_backend_test
2025-12-04T11:25:56.7714129Z  half_test
2025-12-04T11:25:56.7714363Z  inline_container_test
2025-12-04T11:25:56.7714623Z  ivalue_test
2025-12-04T11:25:56.7714856Z  kernel_function_legacy_test
2025-12-04T11:25:56.7715157Z  kernel_function_test
2025-12-04T11:25:56.7715437Z  kernel_lambda_legacy_test
2025-12-04T11:25:56.7715710Z  kernel_lambda_test
2025-12-04T11:25:56.7715976Z  kernel_stackbased_test
2025-12-04T11:25:56.7716246Z  lazy_tensor_test
2025-12-04T11:25:56.7716493Z  legacy_vmap_test
2025-12-04T11:25:56.7716720Z  libc10.so
2025-12-04T11:25:56.7716945Z  libc10_cuda.so
2025-12-04T11:25:56.7717191Z  libc10d_cuda_test.so
2025-12-04T11:25:56.7717439Z  libcaffe2_nvrtc.so
2025-12-04T11:25:56.7717687Z 'libmkldnn*'
2025-12-04T11:25:56.7717918Z 'libnccl*'
2025-12-04T11:25:56.7718127Z  libtorch.so
2025-12-04T11:25:56.7718360Z  libtorch_cpu.so
2025-12-04T11:25:56.7718602Z  libtorch_cuda.so
2025-12-04T11:25:56.7718837Z  libtorch_cuda_linalg.so
2025-12-04T11:25:56.7719181Z  libtorch_global_deps.so
2025-12-04T11:25:56.7719456Z  libtorch_nvshmem.so
2025-12-04T11:25:56.7719701Z  libtorch_python.so
2025-12-04T11:25:56.7719956Z  libtorchbind_test.so
2025-12-04T11:25:56.7720241Z  make_boxed_from_unboxed_functor_test
2025-12-04T11:25:56.7720544Z  math_kernel_test
2025-12-04T11:25:56.7720792Z  memory_format_test
2025-12-04T11:25:56.7721054Z  memory_overlapping_test
2025-12-04T11:25:56.7721410Z  mobile_memory_cleanup
2025-12-04T11:25:56.7721672Z  native_test
2025-12-04T11:25:56.7721906Z  op_allowlist_test
2025-12-04T11:25:56.7722147Z  op_registration_test
2025-12-04T11:25:56.7722411Z  operator_name_test
2025-12-04T11:25:56.7722659Z  operators_test
2025-12-04T11:25:56.7722910Z  packedtensoraccessor_test
2025-12-04T11:25:56.7723201Z  parallel_benchmark
2025-12-04T11:25:56.7723442Z  pow_test
2025-12-04T11:25:56.7723648Z  protoc
2025-12-04T11:25:56.7723868Z  protoc-3.13.0.0
2025-12-04T11:25:56.7724112Z  quantized_test
2025-12-04T11:25:56.7724338Z  reduce_ops_test
2025-12-04T11:25:56.7724593Z  reportMemoryUsage_test
2025-12-04T11:25:56.7724864Z  scalar_tensor_test
2025-12-04T11:25:56.7725111Z  scalar_test
2025-12-04T11:25:56.7725338Z  stride_properties_test
2025-12-04T11:25:56.7725611Z  tensor_iterator_test
2025-12-04T11:25:56.7725874Z  test_aoti_abi_check
2025-12-04T11:25:56.7726111Z  test_api
2025-12-04T11:25:56.7726332Z  test_cpp_rpc
2025-12-04T11:25:56.7726564Z  test_dist_autograd
2025-12-04T11:25:56.7726795Z  test_jit
2025-12-04T11:25:56.7727006Z  test_lazy
2025-12-04T11:25:56.7727223Z  test_parallel
2025-12-04T11:25:56.7727445Z  test_vec_half_AVX2
2025-12-04T11:25:56.7727695Z  test_vec_half_AVX512
2025-12-04T11:25:56.7727958Z  test_vec_half_DEFAULT
2025-12-04T11:25:56.7728330Z  thread_init_test
2025-12-04T11:25:56.7728578Z  torch_shm_manager
2025-12-04T11:25:56.7728822Z  type_ptr_test
2025-12-04T11:25:56.7729040Z  type_test
2025-12-04T11:25:56.7729269Z  undefined_tensor_test
2025-12-04T11:25:56.7729543Z  vec_test_all_types_AVX2
2025-12-04T11:25:56.7729812Z  vec_test_all_types_AVX512
2025-12-04T11:25:56.7730101Z  vec_test_all_types_DEFAULT
2025-12-04T11:25:56.7730384Z  verify_api_visibility
2025-12-04T11:25:56.7730626Z  weakref_test
2025-12-04T11:25:56.7730853Z  wrapdim_test
2025-12-04T11:25:56.7731080Z  xla_tensor_test
2025-12-04T11:25:56.7731326Z + aten/tools/run_tests.sh build/bin
2025-12-04T11:25:56.7738015Z + set -e
2025-12-04T11:25:56.7741108Z ++ dirname aten/tools/run_tests.sh
2025-12-04T11:25:56.7764364Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-12-04T11:25:56.7764812Z + export CPP_TESTS_DIR=build/bin
2025-12-04T11:25:56.7765124Z + CPP_TESTS_DIR=build/bin
2025-12-04T11:25:56.7765398Z + VALGRIND=ON
2025-12-04T11:25:56.7767263Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test
2025-12-04T11:25:58.4646557Z W1204 11:25:58.463000 168075 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:01.9985882Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:26:02.0089892Z Found test times from artifacts
2025-12-04T11:26:02.0493463Z Found test times from artifacts
2025-12-04T11:26:02.0509077Z Running all tests
2025-12-04T11:26:02.0514203Z Running parallel tests on 3 processes
2025-12-04T11:26:02.0516640Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:26:02.0516990Z   Serial tests (0):
2025-12-04T11:26:02.0517256Z   Parallel tests (19):
2025-12-04T11:26:02.0517515Z     cpp/Dict_test 1/1
2025-12-04T11:26:02.0517787Z     cpp/Dimname_test 1/1
2025-12-04T11:26:02.0518079Z     cpp/NamedTensor_test 1/1
2025-12-04T11:26:02.0518367Z     cpp/apply_utils_test 1/1
2025-12-04T11:26:02.0518841Z     cpp/atest 1/1
2025-12-04T11:26:02.0519085Z     cpp/basic 1/1
2025-12-04T11:26:02.0519342Z     cpp/broadcast_test 1/1
2025-12-04T11:26:02.0519624Z     cpp/cpu_generator_test 1/1
2025-12-04T11:26:02.0519927Z     cpp/dlconvertor_test 1/1
2025-12-04T11:26:02.0520236Z     cpp/extension_backend_test 1/1
2025-12-04T11:26:02.0520548Z     cpp/lazy_tensor_test 1/1
2025-12-04T11:26:02.0520958Z     cpp/legacy_vmap_test 1/1
2025-12-04T11:26:02.0521250Z     cpp/native_test 1/1
2025-12-04T11:26:02.0521512Z     cpp/operators_test 1/1
2025-12-04T11:26:02.0521803Z     cpp/scalar_tensor_test 1/1
2025-12-04T11:26:02.0522101Z     cpp/scalar_test 1/1
2025-12-04T11:26:02.0522369Z     cpp/tensor_iterator_test 1/1
2025-12-04T11:26:02.0522684Z     cpp/undefined_tensor_test 1/1
2025-12-04T11:26:02.0523001Z     cpp/wrapdim_test 1/1
2025-12-04T11:26:02.0523278Z Name: excluded (est. time: 0.0min)
2025-12-04T11:26:02.0523584Z   Serial tests (0):
2025-12-04T11:26:02.0523839Z   Parallel tests (0):
2025-12-04T11:26:02.0524218Z Running cpp/Dict_test 1/1 ... [2025-12-04 11:26:02.051984][8021.751272255]
2025-12-04T11:26:02.0524675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.0525091Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.0525664Z Finished cpp/Dict_test 1/1 ... [2025-12-04 11:26:02.052182][8021.751469323], took 0.00min
2025-12-04T11:26:02.6510140Z Uploading artifacts took 0.55 seconds
2025-12-04T11:26:02.6510662Z Running cpp/Dimname_test 1/1 ... [2025-12-04 11:26:02.650769][8022.35005592]
2025-12-04T11:26:02.6511145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.6511581Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.6512166Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 11:26:02.650975][8022.350263049], took 0.00min
2025-12-04T11:26:02.7035996Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 11:26:02.703306][8022.402593053]
2025-12-04T11:26:02.7036497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.7036929Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.7037523Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 11:26:02.703495][8022.402785634], took 0.00min
2025-12-04T11:26:02.7561573Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 11:26:02.755802][8022.455087214]
2025-12-04T11:26:02.7562785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.7563230Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.7563844Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 11:26:02.756005][8022.455289732], took 0.00min
2025-12-04T11:26:02.8081956Z Running cpp/atest 1/1 ... [2025-12-04 11:26:02.807873][8022.507159003]
2025-12-04T11:26:02.8082411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.8082833Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.8083392Z Finished cpp/atest 1/1 ... [2025-12-04 11:26:02.808073][8022.507360558], took 0.00min
2025-12-04T11:26:02.8594969Z Running cpp/basic 1/1 ... [2025-12-04 11:26:02.859222][8022.558509236]
2025-12-04T11:26:02.8595510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.8595933Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.8596489Z Finished cpp/basic 1/1 ... [2025-12-04 11:26:02.859416][8022.558702955], took 0.00min
2025-12-04T11:26:02.9104141Z Running cpp/broadcast_test 1/1 ... [2025-12-04 11:26:02.910088][8022.60937682]
2025-12-04T11:26:02.9104656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.9105078Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.9105683Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 11:26:02.910274][8022.609561839], took 0.00min
2025-12-04T11:26:02.9613299Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 11:26:02.961050][8022.660339157]
2025-12-04T11:26:02.9613811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:02.9614233Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:02.9614851Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 11:26:02.961225][8022.660516091], took 0.00min
2025-12-04T11:26:03.0126474Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 11:26:03.012280][8022.71156487]
2025-12-04T11:26:03.0126989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.0127412Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.0128361Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 11:26:03.012493][8022.711777211], took 0.00min
2025-12-04T11:26:03.0648326Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 11:26:03.064454][8022.763739338]
2025-12-04T11:26:03.0648870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.0649291Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.0649915Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 11:26:03.064655][8022.763945703], took 0.00min
2025-12-04T11:26:03.1163196Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 11:26:03.116039][8022.815326387]
2025-12-04T11:26:03.1163692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.1164122Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.1164709Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 11:26:03.116204][8022.815495498], took 0.00min
2025-12-04T11:26:03.1677970Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 11:26:03.167501][8022.866788371]
2025-12-04T11:26:03.1678492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.1678920Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.1679514Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 11:26:03.167679][8022.866969908], took 0.00min
2025-12-04T11:26:03.2192869Z Running cpp/native_test 1/1 ... [2025-12-04 11:26:03.218897][8022.918183016]
2025-12-04T11:26:03.2193358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.2193784Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.2194362Z Finished cpp/native_test 1/1 ... [2025-12-04 11:26:03.219104][8022.918387556], took 0.00min
2025-12-04T11:26:03.2708423Z Running cpp/operators_test 1/1 ... [2025-12-04 11:26:03.270501][8022.969788533]
2025-12-04T11:26:03.2708981Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.2709409Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.2710016Z Finished cpp/operators_test 1/1 ... [2025-12-04 11:26:03.270690][8022.969980919], took 0.00min
2025-12-04T11:26:03.3224493Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 11:26:03.322129][8023.021416765]
2025-12-04T11:26:03.3224997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.3225420Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.3226037Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 11:26:03.322320][8023.021609716], took 0.00min
2025-12-04T11:26:03.3737051Z Running cpp/scalar_test 1/1 ... [2025-12-04 11:26:03.373462][8023.072750004]
2025-12-04T11:26:03.3737656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.3738260Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.3738860Z Finished cpp/scalar_test 1/1 ... [2025-12-04 11:26:03.373648][8023.072938749], took 0.00min
2025-12-04T11:26:03.4249170Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 11:26:03.424602][8023.123890329]
2025-12-04T11:26:03.4249676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.4250134Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.4250763Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 11:26:03.424787][8023.124074701], took 0.00min
2025-12-04T11:26:03.4764972Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 11:26:03.476219][8023.175505898]
2025-12-04T11:26:03.4765582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.4766010Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.4766647Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 11:26:03.476403][8023.17569085], took 0.00min
2025-12-04T11:26:03.5280466Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 11:26:03.527710][8023.226995966]
2025-12-04T11:26:03.5281191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:03.5281625Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:03.5282228Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 11:26:03.527912][8023.227201974], took 0.00min
2025-12-04T11:26:05.3405907Z W1204 11:26:05.339000 168100 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:05.3569987Z W1204 11:26:05.356000 168099 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:05.3938621Z W1204 11:26:05.393000 168101 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:06.7142917Z Running cpp/Dict_test 1/1 ... [2025-12-04 11:26:06.713877][8026.413161911]
2025-12-04T11:26:06.7143461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:06.7143893Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:06.7144481Z Finished cpp/Dict_test 1/1 ... [2025-12-04 11:26:06.714069][8026.413360114], took 0.00min
2025-12-04T11:26:06.7226894Z Running cpp/Dimname_test 1/1 ... [2025-12-04 11:26:06.722433][8026.421718623]
2025-12-04T11:26:06.7227833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:06.7228435Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:06.7229008Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 11:26:06.722624][8026.421914719], took 0.00min
2025-12-04T11:26:06.7735720Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 11:26:06.773114][8026.472397966]
2025-12-04T11:26:06.7736419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:06.7736849Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:06.7737463Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 11:26:06.773371][8026.472659781], took 0.00min
2025-12-04T11:26:09.2426524Z W1204 11:26:09.241000 168153 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:09.2839731Z W1204 11:26:09.283000 168154 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:09.3175535Z W1204 11:26:09.316000 168155 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:10.6245914Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 11:26:10.624115][8030.323399921]
2025-12-04T11:26:10.6246883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:10.6247661Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:10.6248898Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 11:26:10.624306][8030.323596561], took 0.00min
2025-12-04T11:26:10.6518439Z Running cpp/atest 1/1 ... [2025-12-04 11:26:10.651435][8030.350720632]
2025-12-04T11:26:10.6519397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:10.6520231Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:10.6933093Z Finished cpp/atest 1/1 ... [2025-12-04 11:26:10.651646][8030.350936001], took 0.00min
2025-12-04T11:26:10.6933727Z Running cpp/basic 1/1 ... [2025-12-04 11:26:10.692898][8030.392183668]
2025-12-04T11:26:10.6934173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:10.6934635Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:10.6935200Z Finished cpp/basic 1/1 ... [2025-12-04 11:26:10.693148][8030.392437618], took 0.00min
2025-12-04T11:26:13.2202850Z W1204 11:26:13.219000 168204 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:13.2425991Z W1204 11:26:13.241000 168206 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:13.2668736Z W1204 11:26:13.266000 168205 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:14.5887027Z Running cpp/broadcast_test 1/1 ... [2025-12-04 11:26:14.588207][8034.287491909]
2025-12-04T11:26:14.5887578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:14.5888004Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:14.5888672Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 11:26:14.588440][8034.287730574], took 0.00min
2025-12-04T11:26:14.6141162Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 11:26:14.613681][8034.312967072]
2025-12-04T11:26:14.6142072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:14.6142905Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:14.6144221Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 11:26:14.613876][8034.313166903], took 0.00min
2025-12-04T11:26:14.6479110Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 11:26:14.647459][8034.346743966]
2025-12-04T11:26:14.6479958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:14.6480695Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:14.6481814Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 11:26:14.647702][8034.346989928], took 0.00min
2025-12-04T11:26:17.1871137Z W1204 11:26:17.186000 168256 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:17.1997280Z W1204 11:26:17.199000 168257 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:17.2259419Z W1204 11:26:17.225000 168255 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:18.5567399Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 11:26:18.556268][8038.255553577]
2025-12-04T11:26:18.5568532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:18.5569344Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:18.5570583Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 11:26:18.556484][8038.255773984], took 0.00min
2025-12-04T11:26:18.5600817Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 11:26:18.559742][8038.259027923]
2025-12-04T11:26:18.5601623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:18.5602313Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:18.5603729Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 11:26:18.559953][8038.259242028], took 0.00min
2025-12-04T11:26:18.5974388Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 11:26:18.596971][8038.296255557]
2025-12-04T11:26:18.5975179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:18.5975823Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:18.5976792Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 11:26:18.597199][8038.296488703], took 0.00min
2025-12-04T11:26:21.0929198Z W1204 11:26:21.092000 168308 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:21.1006706Z W1204 11:26:21.100000 168306 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:21.1343174Z W1204 11:26:21.133000 168307 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:22.4492038Z Running cpp/native_test 1/1 ... [2025-12-04 11:26:22.448785][8042.148069904]
2025-12-04T11:26:22.4492714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:22.4493145Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:22.4493740Z Finished cpp/native_test 1/1 ... [2025-12-04 11:26:22.449010][8042.14829301], took 0.00min
2025-12-04T11:26:22.4667338Z Running cpp/operators_test 1/1 ... [2025-12-04 11:26:22.466398][8042.165683811]
2025-12-04T11:26:22.4667873Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:22.4668317Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:22.4668913Z Finished cpp/operators_test 1/1 ... [2025-12-04 11:26:22.466586][8042.165877588], took 0.00min
2025-12-04T11:26:22.5006827Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 11:26:22.500314][8042.199597879]
2025-12-04T11:26:22.5007592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:22.5008016Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:22.5008947Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 11:26:22.500552][8042.199841921], took 0.00min
2025-12-04T11:26:24.9989906Z W1204 11:26:24.998000 168359 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:24.9991030Z W1204 11:26:24.998000 168358 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:25.0451592Z W1204 11:26:25.044000 168357 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:26.3516561Z Running cpp/scalar_test 1/1 ... [2025-12-04 11:26:26.351213][8046.050498358]
2025-12-04T11:26:26.3517116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:26.3517540Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:26.3518135Z Finished cpp/scalar_test 1/1 ... [2025-12-04 11:26:26.351412][8046.050702711], took 0.00min
2025-12-04T11:26:26.3542770Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 11:26:26.354035][8046.05332072]
2025-12-04T11:26:26.3543726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:26.3544153Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:26.3544783Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 11:26:26.354242][8046.053530559], took 0.00min
2025-12-04T11:26:26.4078300Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 11:26:26.407429][8046.106714681]
2025-12-04T11:26:26.4078873Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:26.4079297Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:26.4079946Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 11:26:26.407632][8046.106922325], took 0.00min
2025-12-04T11:26:28.9088356Z W1204 11:26:28.907000 168409 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:28.9092685Z W1204 11:26:28.908000 168408 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:28.9229887Z W1204 11:26:28.922000 168410 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:30.2713070Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 11:26:30.270895][8049.970180135]
2025-12-04T11:26:30.2713592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:30.2714019Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:30.2714614Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 11:26:30.271088][8049.970377712], took 0.00min
2025-12-04T11:26:31.0795265Z Running test batch 'tests to run' cost 29.03 seconds
2025-12-04T11:26:31.7617831Z + run_if_exists tensor_interop_test
2025-12-04T11:26:31.7618244Z + local test_name=tensor_interop_test
2025-12-04T11:26:31.7618600Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T11:26:31.7619001Z + echo 'Warning: tensor_interop_test does not exist.'
2025-12-04T11:26:31.7619430Z Warning: tensor_interop_test does not exist.
2025-12-04T11:26:31.7619796Z + run_if_exists cudnn_test
2025-12-04T11:26:31.7620087Z + local test_name=cudnn_test
2025-12-04T11:26:31.7620371Z + [[ -x build/bin/cudnn_test ]]
2025-12-04T11:26:31.7620698Z + echo 'Warning: cudnn_test does not exist.'
2025-12-04T11:26:31.7621052Z Warning: cudnn_test does not exist.
2025-12-04T11:26:31.7621396Z + run_if_exists cuda_generator_test
2025-12-04T11:26:31.7621715Z + local test_name=cuda_generator_test
2025-12-04T11:26:31.7622051Z + [[ -x build/bin/cuda_generator_test ]]
2025-12-04T11:26:31.7622502Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test
2025-12-04T11:26:33.4340246Z W1204 11:26:33.433000 168459 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:36.9265911Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:26:36.9369703Z Found test times from artifacts
2025-12-04T11:26:36.9773013Z Found test times from artifacts
2025-12-04T11:26:36.9786726Z Running all tests
2025-12-04T11:26:36.9790402Z Running parallel tests on 3 processes
2025-12-04T11:26:36.9790972Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:26:36.9791514Z   Serial tests (0):
2025-12-04T11:26:36.9791777Z   Parallel tests (1):
2025-12-04T11:26:36.9792056Z     cpp/cuda_generator_test 1/1
2025-12-04T11:26:36.9792523Z Name: excluded (est. time: 0.0min)
2025-12-04T11:26:36.9792821Z   Serial tests (0):
2025-12-04T11:26:36.9793274Z   Parallel tests (0):
2025-12-04T11:26:36.9793821Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 11:26:36.979056][8056.678346007]
2025-12-04T11:26:36.9794333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:36.9794754Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:36.9795382Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 11:26:36.979218][8056.678510096], took 0.00min
2025-12-04T11:26:37.7544682Z Uploading artifacts took 0.72 seconds
2025-12-04T11:26:39.4515825Z W1204 11:26:39.450000 168485 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:39.4915983Z W1204 11:26:39.490000 168484 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:39.5163935Z W1204 11:26:39.515000 168483 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:40.7981337Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 11:26:40.797640][8060.496925464]
2025-12-04T11:26:40.7981914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:40.7982356Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:40.7982979Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 11:26:40.797837][8060.497128329], took 0.00min
2025-12-04T11:26:41.6363937Z Running test batch 'tests to run' cost 4.66 seconds
2025-12-04T11:26:42.3301867Z + run_if_exists apply_test
2025-12-04T11:26:42.3302328Z + local test_name=apply_test
2025-12-04T11:26:42.3302654Z + [[ -x build/bin/apply_test ]]
2025-12-04T11:26:42.3302988Z + echo 'Warning: apply_test does not exist.'
2025-12-04T11:26:42.3303355Z Warning: apply_test does not exist.
2025-12-04T11:26:42.3303685Z + run_if_exists stream_test
2025-12-04T11:26:42.3303971Z + local test_name=stream_test
2025-12-04T11:26:42.3304279Z + [[ -x build/bin/stream_test ]]
2025-12-04T11:26:42.3304622Z + echo 'Warning: stream_test does not exist.'
2025-12-04T11:26:42.3304972Z Warning: stream_test does not exist.
2025-12-04T11:26:42.3305321Z + run_if_exists cuda_half_test
2025-12-04T11:26:42.3305634Z + local test_name=cuda_half_test
2025-12-04T11:26:42.3305953Z + [[ -x build/bin/cuda_half_test ]]
2025-12-04T11:26:42.3306380Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test
2025-12-04T11:26:43.9916336Z W1204 11:26:43.990000 168537 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:47.4819955Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:26:47.4923747Z Found test times from artifacts
2025-12-04T11:26:47.5321749Z Found test times from artifacts
2025-12-04T11:26:47.5334630Z Running all tests
2025-12-04T11:26:47.5338299Z Running parallel tests on 3 processes
2025-12-04T11:26:47.5338703Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:26:47.5339041Z   Serial tests (0):
2025-12-04T11:26:47.5347199Z   Parallel tests (1):
2025-12-04T11:26:47.5347767Z     cpp/cuda_half_test 1/1
2025-12-04T11:26:47.5348079Z Name: excluded (est. time: 0.0min)
2025-12-04T11:26:47.5348395Z   Serial tests (0):
2025-12-04T11:26:47.5348644Z   Parallel tests (0):
2025-12-04T11:26:47.5349065Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 11:26:47.533839][8067.233128518]
2025-12-04T11:26:47.5349554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:47.5350086Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:47.5350696Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 11:26:47.534015][8067.233306144], took 0.00min
2025-12-04T11:26:48.1335031Z Uploading artifacts took 0.55 seconds
2025-12-04T11:26:49.8776495Z W1204 11:26:49.876000 168561 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:49.8818467Z W1204 11:26:49.881000 168562 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:49.9107964Z W1204 11:26:49.910000 168563 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:51.2333772Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 11:26:51.232930][8070.932215208]
2025-12-04T11:26:51.2334306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:51.2334759Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:51.2335379Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 11:26:51.233121][8070.932412588], took 0.00min
2025-12-04T11:26:52.0365751Z Running test batch 'tests to run' cost 4.5 seconds
2025-12-04T11:26:52.7228470Z + run_if_exists cuda_vectorized_test
2025-12-04T11:26:52.7228893Z + local test_name=cuda_vectorized_test
2025-12-04T11:26:52.7229251Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-12-04T11:26:52.7229723Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test
2025-12-04T11:26:54.3851463Z W1204 11:26:54.384000 168615 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:26:57.8490287Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:26:57.8593389Z Found test times from artifacts
2025-12-04T11:26:57.8992186Z Found test times from artifacts
2025-12-04T11:26:57.9004436Z Running all tests
2025-12-04T11:26:57.9007672Z Running parallel tests on 3 processes
2025-12-04T11:26:57.9008592Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:26:57.9009034Z   Serial tests (0):
2025-12-04T11:26:57.9009314Z   Parallel tests (1):
2025-12-04T11:26:57.9009611Z     cpp/cuda_vectorized_test 1/1
2025-12-04T11:26:57.9009992Z Name: excluded (est. time: 0.0min)
2025-12-04T11:26:57.9010443Z   Serial tests (0):
2025-12-04T11:26:57.9010936Z   Parallel tests (0):
2025-12-04T11:26:57.9011481Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 11:26:57.900823][8077.600111901]
2025-12-04T11:26:57.9012003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:26:57.9012451Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:26:57.9013087Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 11:26:57.900984][8077.600276137], took 0.00min
2025-12-04T11:26:58.5180017Z Uploading artifacts took 0.56 seconds
2025-12-04T11:27:00.2816442Z W1204 11:27:00.280000 168640 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:00.2912190Z W1204 11:27:00.290000 168641 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:00.3289288Z W1204 11:27:00.328000 168639 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:01.6351273Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 11:27:01.634693][8081.333978842]
2025-12-04T11:27:01.6351854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:01.6352286Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:01.6353180Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 11:27:01.634886][8081.334176275], took 0.00min
2025-12-04T11:27:02.4459485Z Running test batch 'tests to run' cost 4.54 seconds
2025-12-04T11:27:03.1374117Z + run_if_exists cuda_distributions_test
2025-12-04T11:27:03.1374558Z + local test_name=cuda_distributions_test
2025-12-04T11:27:03.1375241Z + [[ -x build/bin/cuda_distributions_test ]]
2025-12-04T11:27:03.1375744Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test
2025-12-04T11:27:04.8238285Z W1204 11:27:04.823000 168693 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:08.3285617Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:27:08.3389056Z Found test times from artifacts
2025-12-04T11:27:08.3787658Z Found test times from artifacts
2025-12-04T11:27:08.3800219Z Running all tests
2025-12-04T11:27:08.3803186Z Running parallel tests on 3 processes
2025-12-04T11:27:08.3803567Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:27:08.3803881Z   Serial tests (0):
2025-12-04T11:27:08.3804147Z   Parallel tests (1):
2025-12-04T11:27:08.3804448Z     cpp/cuda_distributions_test 1/1
2025-12-04T11:27:08.3805106Z Name: excluded (est. time: 0.0min)
2025-12-04T11:27:08.3805495Z   Serial tests (0):
2025-12-04T11:27:08.3806027Z   Parallel tests (0):
2025-12-04T11:27:08.3806479Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 11:27:08.380359][8088.079648337]
2025-12-04T11:27:08.3807010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:08.3807650Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:08.3808354Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 11:27:08.380522][8088.07981401], took 0.00min
2025-12-04T11:27:09.0334284Z Uploading artifacts took 0.60 seconds
2025-12-04T11:27:10.7256529Z W1204 11:27:10.724000 168719 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:10.7673249Z W1204 11:27:10.766000 168718 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:10.8049096Z W1204 11:27:10.804000 168717 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:12.0633270Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 11:27:12.062901][8091.762186589]
2025-12-04T11:27:12.0634089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:12.0634878Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:12.0635689Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 11:27:12.063097][8091.762387878], took 0.00min
2025-12-04T11:27:12.9233354Z Running test batch 'tests to run' cost 4.54 seconds
2025-12-04T11:27:13.6324824Z + run_if_exists cuda_optional_test
2025-12-04T11:27:13.6325264Z + local test_name=cuda_optional_test
2025-12-04T11:27:13.6325693Z + [[ -x build/bin/cuda_optional_test ]]
2025-12-04T11:27:13.6326195Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test
2025-12-04T11:27:15.3064873Z W1204 11:27:15.305000 168771 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:18.8284187Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:27:18.8388034Z Found test times from artifacts
2025-12-04T11:27:18.8787755Z Found test times from artifacts
2025-12-04T11:27:18.8800280Z Running all tests
2025-12-04T11:27:18.8803330Z Running parallel tests on 3 processes
2025-12-04T11:27:18.8803704Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:27:18.8804035Z   Serial tests (0):
2025-12-04T11:27:18.8804285Z   Parallel tests (1):
2025-12-04T11:27:18.8804568Z     cpp/cuda_optional_test 1/1
2025-12-04T11:27:18.8805082Z Name: excluded (est. time: 0.0min)
2025-12-04T11:27:18.8805384Z   Serial tests (0):
2025-12-04T11:27:18.8805647Z   Parallel tests (0):
2025-12-04T11:27:18.8806073Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 11:27:18.880379][8098.57966955]
2025-12-04T11:27:18.8806556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:18.8807881Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:18.8808631Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 11:27:18.880534][8098.579825734], took 0.00min
2025-12-04T11:27:19.5969852Z Uploading artifacts took 0.66 seconds
2025-12-04T11:27:21.3645831Z W1204 11:27:21.363000 168797 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:21.3763942Z W1204 11:27:21.375000 168795 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:21.3897530Z W1204 11:27:21.389000 168796 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:22.7134105Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 11:27:22.712910][8102.412195745]
2025-12-04T11:27:22.7135096Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:22.7135885Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:22.7137047Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 11:27:22.713093][8102.412384773], took 0.00min
2025-12-04T11:27:23.5221018Z Running test batch 'tests to run' cost 4.64 seconds
2025-12-04T11:27:24.2063765Z + run_if_exists cuda_tensor_interop_test
2025-12-04T11:27:24.2064201Z + local test_name=cuda_tensor_interop_test
2025-12-04T11:27:24.2064587Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-12-04T11:27:24.2065003Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-12-04T11:27:24.2065452Z Warning: cuda_tensor_interop_test does not exist.
2025-12-04T11:27:24.2065842Z + run_if_exists cuda_complex_test
2025-12-04T11:27:24.2066181Z + local test_name=cuda_complex_test
2025-12-04T11:27:24.2066517Z + [[ -x build/bin/cuda_complex_test ]]
2025-12-04T11:27:24.2066967Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test
2025-12-04T11:27:25.8798510Z W1204 11:27:25.879000 168849 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:29.3546637Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:27:29.3650134Z Found test times from artifacts
2025-12-04T11:27:29.4047584Z Found test times from artifacts
2025-12-04T11:27:29.4059867Z Running all tests
2025-12-04T11:27:29.4062753Z Running parallel tests on 3 processes
2025-12-04T11:27:29.4063133Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:27:29.4063455Z   Serial tests (0):
2025-12-04T11:27:29.4063712Z   Parallel tests (1):
2025-12-04T11:27:29.4063979Z     cpp/cuda_complex_test 1/1
2025-12-04T11:27:29.4064303Z Name: excluded (est. time: 0.0min)
2025-12-04T11:27:29.4064610Z   Serial tests (0):
2025-12-04T11:27:29.4064848Z   Parallel tests (0):
2025-12-04T11:27:29.4065267Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 11:27:29.406312][8109.105602367]
2025-12-04T11:27:29.4065763Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:29.4066539Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:29.4067151Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 11:27:29.406466][8109.105757389], took 0.00min
2025-12-04T11:27:29.9932601Z Uploading artifacts took 0.54 seconds
2025-12-04T11:27:31.7441186Z W1204 11:27:31.743000 168874 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:31.7567520Z W1204 11:27:31.756000 168875 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:31.8000003Z W1204 11:27:31.799000 168873 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:33.1411682Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 11:27:33.140679][8112.839963978]
2025-12-04T11:27:33.1412346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:33.1412794Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:33.1413867Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 11:27:33.140918][8112.840208017], took 0.00min
2025-12-04T11:27:33.9902239Z Running test batch 'tests to run' cost 4.58 seconds
2025-12-04T11:27:34.6986798Z + run_if_exists cuda_complex_math_test
2025-12-04T11:27:34.6987229Z + local test_name=cuda_complex_math_test
2025-12-04T11:27:34.6987605Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-12-04T11:27:34.6988075Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test
2025-12-04T11:27:36.4378458Z W1204 11:27:36.437000 168927 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:39.9206137Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:27:39.9309937Z Found test times from artifacts
2025-12-04T11:27:39.9707981Z Found test times from artifacts
2025-12-04T11:27:39.9720450Z Running all tests
2025-12-04T11:27:39.9723591Z Running parallel tests on 3 processes
2025-12-04T11:27:39.9723954Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:27:39.9724755Z   Serial tests (0):
2025-12-04T11:27:39.9725096Z   Parallel tests (1):
2025-12-04T11:27:39.9725619Z     cpp/cuda_complex_math_test 1/1
2025-12-04T11:27:39.9725997Z Name: excluded (est. time: 0.0min)
2025-12-04T11:27:39.9726360Z   Serial tests (0):
2025-12-04T11:27:39.9726849Z   Parallel tests (0):
2025-12-04T11:27:39.9727301Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 11:27:39.972396][8119.671686844]
2025-12-04T11:27:39.9727794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:39.9728298Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:39.9728932Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 11:27:39.972558][8119.671849459], took 0.00min
2025-12-04T11:27:40.6365097Z Uploading artifacts took 0.61 seconds
2025-12-04T11:27:42.3817276Z W1204 11:27:42.381000 168951 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:42.3822341Z W1204 11:27:42.381000 168953 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:42.4134516Z W1204 11:27:42.412000 168952 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:43.7373754Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 11:27:43.736943][8123.436228105]
2025-12-04T11:27:43.7374457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:43.7374871Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:43.7375896Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 11:27:43.737139][8123.436429864], took 0.00min
2025-12-04T11:27:44.5444480Z Running test batch 'tests to run' cost 4.57 seconds
2025-12-04T11:27:45.2635397Z + run_if_exists cuda_cub_test
2025-12-04T11:27:45.2635793Z + local test_name=cuda_cub_test
2025-12-04T11:27:45.2636134Z + [[ -x build/bin/cuda_cub_test ]]
2025-12-04T11:27:45.2636560Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test
2025-12-04T11:27:46.9254813Z W1204 11:27:46.924000 169005 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:50.4539107Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:27:50.4642909Z Found test times from artifacts
2025-12-04T11:27:50.5042687Z Found test times from artifacts
2025-12-04T11:27:50.5056153Z Running all tests
2025-12-04T11:27:50.5059173Z Running parallel tests on 3 processes
2025-12-04T11:27:50.5059554Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:27:50.5059875Z   Serial tests (0):
2025-12-04T11:27:50.5060181Z   Parallel tests (1):
2025-12-04T11:27:50.5060542Z     cpp/cuda_cub_test 1/1
2025-12-04T11:27:50.5060846Z Name: excluded (est. time: 0.0min)
2025-12-04T11:27:50.5061326Z   Serial tests (0):
2025-12-04T11:27:50.5061572Z   Parallel tests (0):
2025-12-04T11:27:50.5062224Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 11:27:50.505978][8130.205268497]
2025-12-04T11:27:50.5062698Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:50.5063500Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:50.5064134Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 11:27:50.506168][8130.205454972], took 0.00min
2025-12-04T11:27:51.0572061Z Uploading artifacts took 0.50 seconds
2025-12-04T11:27:52.8250640Z W1204 11:27:52.824000 169031 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:52.8289771Z W1204 11:27:52.828000 169029 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:52.8578936Z W1204 11:27:52.857000 169030 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:27:54.2190397Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 11:27:54.218604][8133.917888933]
2025-12-04T11:27:54.2190908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:27:54.2191338Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:27:54.2191939Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 11:27:54.218798][8133.918089149], took 0.00min
2025-12-04T11:27:55.0803863Z Running test batch 'tests to run' cost 4.57 seconds
2025-12-04T11:27:55.7957456Z + run_if_exists cuda_atomic_ops_test
2025-12-04T11:27:55.7957866Z + local test_name=cuda_atomic_ops_test
2025-12-04T11:27:55.7958250Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-12-04T11:27:55.7958714Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test
2025-12-04T11:27:57.4517297Z W1204 11:27:57.451000 169083 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:00.9116074Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:28:00.9220335Z Found test times from artifacts
2025-12-04T11:28:00.9621608Z Found test times from artifacts
2025-12-04T11:28:00.9633973Z Running all tests
2025-12-04T11:28:00.9637405Z Running parallel tests on 3 processes
2025-12-04T11:28:00.9637785Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:28:00.9638114Z   Serial tests (0):
2025-12-04T11:28:00.9638364Z   Parallel tests (1):
2025-12-04T11:28:00.9638647Z     cpp/cuda_atomic_ops_test 1/1
2025-12-04T11:28:00.9639212Z Name: excluded (est. time: 0.0min)
2025-12-04T11:28:00.9639534Z   Serial tests (0):
2025-12-04T11:28:00.9639795Z   Parallel tests (0):
2025-12-04T11:28:00.9640225Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 11:28:00.963819][8140.66310875]
2025-12-04T11:28:00.9640986Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:28:00.9641937Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:28:00.9642585Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 11:28:00.964045][8140.663331995], took 0.00min
2025-12-04T11:28:01.5325279Z Uploading artifacts took 0.52 seconds
2025-12-04T11:28:03.2343870Z W1204 11:28:03.233000 169107 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:03.2497587Z W1204 11:28:03.249000 169108 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:03.2998874Z W1204 11:28:03.299000 169109 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:04.5820467Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 11:28:04.581614][8144.280899704]
2025-12-04T11:28:04.5821004Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:28:04.5821440Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:28:04.5822400Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 11:28:04.581809][8144.281099572], took 0.00min
2025-12-04T11:28:05.4373456Z Running test batch 'tests to run' cost 4.47 seconds
2025-12-04T11:28:06.1821320Z + run_if_exists cuda_allocator_test
2025-12-04T11:28:06.1821731Z + local test_name=cuda_allocator_test
2025-12-04T11:28:06.1822096Z + [[ -x build/bin/cuda_allocator_test ]]
2025-12-04T11:28:06.1822562Z + python test/run_test.py --cpp --verbose -i cpp/cuda_allocator_test
2025-12-04T11:28:07.8423414Z W1204 11:28:07.841000 169161 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:11.4893894Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:28:11.4997885Z Found test times from artifacts
2025-12-04T11:28:11.5399278Z Found test times from artifacts
2025-12-04T11:28:11.5413667Z Running all tests
2025-12-04T11:28:11.5417852Z Running parallel tests on 3 processes
2025-12-04T11:28:11.5418283Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:28:11.5418618Z   Serial tests (0):
2025-12-04T11:28:11.5418992Z   Parallel tests (1):
2025-12-04T11:28:11.5419286Z     cpp/cuda_allocator_test 1/1
2025-12-04T11:28:11.5419692Z Name: excluded (est. time: 0.0min)
2025-12-04T11:28:11.5420061Z   Serial tests (0):
2025-12-04T11:28:11.5420431Z   Parallel tests (0):
2025-12-04T11:28:11.5420877Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 11:28:11.541748][8151.241037827]
2025-12-04T11:28:11.5421520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:28:11.5421948Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:28:11.5422581Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 11:28:11.541913][8151.241204906], took 0.00min
2025-12-04T11:28:12.1284097Z Uploading artifacts took 0.53 seconds
2025-12-04T11:28:13.8668948Z W1204 11:28:13.866000 169185 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:13.8670344Z W1204 11:28:13.866000 169187 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:13.9111430Z W1204 11:28:13.910000 169186 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:28:15.2302500Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 11:28:15.229841][8154.929126128]
2025-12-04T11:28:15.2303067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:28:15.2303483Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:28:15.2304109Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 11:28:15.230037][8154.929328463], took 0.00min
2025-12-04T11:28:16.0545603Z Running test batch 'tests to run' cost 4.51 seconds
2025-12-04T11:28:16.7517146Z + '[' ON == ON ']'
2025-12-04T11:28:16.7517967Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-12-04T11:28:16.7840396Z ==169239== Memcheck, a memory error detector
2025-12-04T11:28:16.7840917Z ==169239== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-12-04T11:28:16.7841526Z ==169239== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-12-04T11:28:16.7842052Z ==169239== Command: build/bin/basic --gtest_filter=-*CUDA
2025-12-04T11:28:16.7842428Z ==169239== 
2025-12-04T11:28:17.1632466Z ==169239== Warning: set address range perms: large range [0x4a9b000, 0x19b68000) (defined)
2025-12-04T11:28:17.1633184Z ==169239== Warning: set address range perms: large range [0x5ab5000, 0x16c2c000) (defined)
2025-12-04T11:28:22.9447182Z ==169239== Warning: set address range perms: large range [0x28aa0000, 0x3ff55000) (noaccess)
2025-12-04T11:28:22.9447915Z ==169239== Warning: set address range perms: large range [0x28c00000, 0x3feb5000) (defined)
2025-12-04T11:28:23.0111130Z ==169239== Warning: set address range perms: large range [0x3feb5000, 0x5127a000) (noaccess)
2025-12-04T11:28:23.0112174Z ==169239== Warning: set address range perms: large range [0x40000000, 0x511c5000) (defined)
2025-12-04T11:28:23.0575348Z ==169239== Warning: set address range perms: large range [0x40fbd000, 0x511c5000) (defined)
2025-12-04T11:28:23.0758809Z ==169239== Warning: set address range perms: large range [0x59c92000, 0x73439000) (defined)
2025-12-04T11:28:23.0759665Z ==169239== Warning: set address range perms: large range [0x5ec47000, 0x73083000) (defined)
2025-12-04T11:28:24.0805076Z ==169239== Warning: set address range perms: large range [0x73439000, 0x89eab000) (defined)
2025-12-04T11:28:24.0805794Z ==169239== Warning: set address range perms: large range [0x735ef000, 0x89e54000) (defined)
2025-12-04T11:28:24.3173466Z ==169239== Warning: set address range perms: large range [0x99d0b000, 0xcc1fd000) (noaccess)
2025-12-04T11:28:24.3174210Z ==169239== Warning: set address range perms: large range [0x99e00000, 0xcc0f2000) (defined)
2025-12-04T11:29:26.3402357Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2025-12-04T11:29:26.3721319Z Note: Google Test filter = -*CUDA
2025-12-04T11:29:26.3800370Z [==========] Running 6 tests from 1 test suite.
2025-12-04T11:29:26.3818536Z [----------] Global test environment set-up.
2025-12-04T11:29:26.3888382Z [----------] 6 tests from BasicTest
2025-12-04T11:29:26.3915238Z [ RUN      ] BasicTest.BasicTestCPU
2025-12-04T11:29:27.9988601Z    905 ms
2025-12-04T11:29:28.2465399Z    60 ms
2025-12-04T11:29:28.3934509Z    68 ms
2025-12-04T11:29:31.6259557Z [       OK ] BasicTest.BasicTestCPU (5232 ms)
2025-12-04T11:29:31.6521043Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-12-04T11:29:32.1692808Z    219 ms
2025-12-04T11:29:32.2488909Z    50 ms
2025-12-04T11:29:32.3328070Z    69 ms
2025-12-04T11:29:32.4493256Z [       OK ] BasicTest.BasicTestHalfCPU (580 ms)
2025-12-04T11:29:32.4805437Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-12-04T11:29:32.5239919Z [       OK ] BasicTest.FactoryMethodsTest (42 ms)
2025-12-04T11:29:32.6602550Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-12-04T11:29:32.7647092Z Simple example: called once
2025-12-04T11:29:32.9050251Z throw: call_once will retry
2025-12-04T11:29:32.9085880Z throw: call_once will retry
2025-12-04T11:29:32.9501394Z Didn't throw, call_once will not attempt again
2025-12-04T11:29:32.9526380Z [       OK ] BasicTest.BasicStdTestCPU (231 ms)
2025-12-04T11:29:32.9528549Z [ RUN      ] BasicTest.TestForBlobResizeCPU
2025-12-04T11:29:32.9753590Z [       OK ] BasicTest.TestForBlobResizeCPU (22 ms)
2025-12-04T11:29:32.9754047Z [ RUN      ] BasicTest.TestForBlobStridesResizeCPU
2025-12-04T11:29:32.9799254Z [       OK ] BasicTest.TestForBlobStridesResizeCPU (4 ms)
2025-12-04T11:29:32.9821068Z [----------] 6 tests from BasicTest (6589 ms total)
2025-12-04T11:29:32.9821347Z 
2025-12-04T11:29:32.9835015Z [----------] Global test environment tear-down
2025-12-04T11:29:32.9861918Z [==========] 6 tests from 1 test suite ran. (6617 ms total)
2025-12-04T11:29:32.9875992Z [  PASSED  ] 6 tests.
2025-12-04T11:29:35.9602776Z ==169239== 
2025-12-04T11:29:35.9610685Z ==169239== HEAP SUMMARY:
2025-12-04T11:29:35.9611064Z ==169239==     in use at exit: 949,216 bytes in 6,493 blocks
2025-12-04T11:29:35.9611594Z ==169239==   total heap usage: 894,824 allocs, 888,331 frees, 223,151,102 bytes allocated
2025-12-04T11:29:35.9612065Z ==169239== 
2025-12-04T11:29:39.0551145Z ==169239== LEAK SUMMARY:
2025-12-04T11:29:39.0551571Z ==169239==    definitely lost: 0 bytes in 0 blocks
2025-12-04T11:29:39.0551976Z ==169239==    indirectly lost: 0 bytes in 0 blocks
2025-12-04T11:29:39.0552372Z ==169239==      possibly lost: 74,176 bytes in 9 blocks
2025-12-04T11:29:39.0553117Z ==169239==    still reachable: 875,040 bytes in 6,484 blocks
2025-12-04T11:29:39.0553540Z ==169239==         suppressed: 0 bytes in 0 blocks
2025-12-04T11:29:39.0554003Z ==169239== Rerun with --leak-check=full to see details of leaked memory
2025-12-04T11:29:39.0554438Z ==169239== 
2025-12-04T11:29:39.0554799Z ==169239== For lists of detected and suppressed errors, rerun with: -s
2025-12-04T11:29:39.0555867Z ==169239== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)
2025-12-04T11:29:39.1663795Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T11:29:39.1665911Z + [[ -n '' ]]
2025-12-04T11:29:39.1666166Z + assert_git_not_dirty
2025-12-04T11:29:39.1666494Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:29:39.1666911Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:29:39.1674964Z ++ git status --porcelain
2025-12-04T11:29:39.1675389Z ++ grep -v '?? third_party'
2025-12-04T11:29:39.4761532Z ++ true
2025-12-04T11:29:39.4761831Z + git_status=
2025-12-04T11:29:39.4762231Z + [[ -n '' ]]
2025-12-04T11:29:39.4762469Z + test_libtorch 1
2025-12-04T11:29:39.4774096Z + local SHARD=1
2025-12-04T11:29:39.4774458Z + [[ nogpu_NO_AVX2 != \s\l\o\w ]]
2025-12-04T11:29:39.4774770Z + echo 'Testing libtorch'
2025-12-04T11:29:39.4775154Z Testing libtorch
2025-12-04T11:29:39.4776119Z + 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
2025-12-04T11:29:39.4801149Z + 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
2025-12-04T11:29:39.4815340Z + 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
2025-12-04T11:29:39.4829070Z + 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
2025-12-04T11:29:39.4842765Z + 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
2025-12-04T11:29:39.4858695Z + 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
2025-12-04T11:29:39.4870763Z + 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
2025-12-04T11:29:39.4883332Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:29:39.4884008Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T11:29:39.4884481Z + [[ -z 1 ]]
2025-12-04T11:29:39.4884713Z + [[ 1 == \1 ]]
2025-12-04T11:29:39.4884946Z + test_libtorch_api
2025-12-04T11:29:39.4889781Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T11:29:39.4890392Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T11:29:39.5377426Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ...
2025-12-04T11:29:39.9034805Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ...
2025-12-04T11:29:39.9372036Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ...
2025-12-04T11:29:40.0454515Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ...
2025-12-04T11:29:40.0953122Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-12-04T11:29:40.0953594Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-12-04T11:29:40.0954016Z + OMP_NUM_THREADS=2
2025-12-04T11:29:40.0954423Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T11:29:40.0955065Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest'
2025-12-04T11:29:41.7404825Z W1204 11:29:41.739000 169413 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:29:45.1760285Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T11:29:45.1864938Z Found test times from artifacts
2025-12-04T11:29:45.2264752Z Found test times from artifacts
2025-12-04T11:29:45.2277505Z Running all tests
2025-12-04T11:29:45.2281348Z Running parallel tests on 3 processes
2025-12-04T11:29:45.2281743Z Name: tests to run (est. time: 0.0min)
2025-12-04T11:29:45.2282057Z   Serial tests (0):
2025-12-04T11:29:45.2282317Z   Parallel tests (1):
2025-12-04T11:29:45.2282588Z     cpp/test_api 1/1
2025-12-04T11:29:45.2282853Z Name: excluded (est. time: 0.0min)
2025-12-04T11:29:45.2283164Z   Serial tests (0):
2025-12-04T11:29:45.2283419Z   Parallel tests (0):
2025-12-04T11:29:45.2287444Z Running cpp/test_api 1/1 ... [2025-12-04 11:29:45.228545][8244.927833016]
2025-12-04T11:29:45.2287909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:29:45.2289320Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:29:45.2289900Z Finished cpp/test_api 1/1 ... [2025-12-04 11:29:45.228749][8244.928039659], took 0.00min
2025-12-04T11:29:45.8255814Z Uploading artifacts took 0.54 seconds
2025-12-04T11:29:47.5508150Z W1204 11:29:47.550000 169424 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:29:47.5528260Z W1204 11:29:47.552000 169425 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:29:47.5730012Z W1204 11:29:47.572000 169423 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:29:48.9070395Z Running cpp/test_api 1/1 ... [2025-12-04 11:29:48.906558][8248.605842967]
2025-12-04T11:29:48.9071242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T11:29:48.9071967Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T11:29:48.9073005Z Finished cpp/test_api 1/1 ... [2025-12-04 11:29:48.906752][8248.606043003], took 0.00min
2025-12-04T11:29:49.7114999Z Running test batch 'tests to run' cost 4.48 seconds
2025-12-04T11:29:50.3890203Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *android* ]]
2025-12-04T11:29:50.3890713Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *cuda* ]]
2025-12-04T11:29:50.3891109Z + [[ -z 1 ]]
2025-12-04T11:29:50.3891326Z + [[ 1 == \2 ]]
2025-12-04T11:29:50.3891589Z + assert_git_not_dirty
2025-12-04T11:29:50.3891906Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T11:29:50.3892314Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T11:29:50.3897882Z ++ git status --porcelain
2025-12-04T11:29:50.3898889Z ++ grep -v '?? third_party'
2025-12-04T11:29:50.6984181Z ++ true
2025-12-04T11:29:50.6985296Z + git_status=
2025-12-04T11:29:50.6985557Z + [[ -n '' ]]
2025-12-04T11:29:50.6986222Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T11:29:50.7057810Z + sccache_epilogue
2025-12-04T11:29:50.7058133Z + echo '::group::Sccache Compilation Log'
2025-12-04T11:29:50.7059081Z ##[group]Sccache Compilation Log
2025-12-04T11:29:50.7059445Z + echo '=================== sccache compilation log ==================='
2025-12-04T11:29:50.7059891Z =================== sccache compilation log ===================
2025-12-04T11:29:50.7066404Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T11:29:50.7204645Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T11:29:50.7205380Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T11:29:50.7205902Z + sccache --show-stats
2025-12-04T11:29:50.7259575Z Compile requests                    5674
2025-12-04T11:29:50.7259974Z Compile requests executed             64
2025-12-04T11:29:50.7260301Z Cache hits                            21
2025-12-04T11:29:50.7260634Z Cache hits (C/C++)                    21
2025-12-04T11:29:50.7260974Z Cache misses                          43
2025-12-04T11:29:50.7261293Z Cache misses (C/C++)                  43
2025-12-04T11:29:50.7261641Z Cache hits rate                    32.81 %
2025-12-04T11:29:50.7262161Z Cache hits rate (C/C++)            32.81 %
2025-12-04T11:29:50.7262496Z Cache timeouts                         0
2025-12-04T11:29:50.7262832Z Cache read errors                      0
2025-12-04T11:29:50.7263160Z Forced recaches                        0
2025-12-04T11:29:50.7263489Z Cache write errors                     0
2025-12-04T11:29:50.7263805Z Cache errors                           0
2025-12-04T11:29:50.7264131Z Compilations                          43
2025-12-04T11:29:50.7264467Z Compilation failures                   0
2025-12-04T11:29:50.7264816Z Non-cacheable compilations             0
2025-12-04T11:29:50.7265165Z Non-cacheable calls                  353
2025-12-04T11:29:50.7265512Z Non-compilation calls               5257
2025-12-04T11:29:50.7265848Z Unsupported compiler calls             0
2025-12-04T11:29:50.7266205Z Average cache write                0.042 s
2025-12-04T11:29:50.7266558Z Average compiler                  14.023 s
2025-12-04T11:29:50.7266916Z Average cache read hit             0.061 s
2025-12-04T11:29:50.7267261Z Failed distributed compilations        0
2025-12-04T11:29:50.7267643Z 
2025-12-04T11:29:50.7267747Z Non-cacheable reasons:
2025-12-04T11:29:50.7268040Z -E                                   353
2025-12-04T11:29:50.7268264Z 
2025-12-04T11:29:50.7268506Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T11:29:50.7268992Z Version (client)                0.10.0
2025-12-04T11:29:50.7269321Z + sccache --stop-server
2025-12-04T11:29:50.7285438Z Stopping sccache server...
2025-12-04T11:29:50.7287275Z Compile requests                    5674
2025-12-04T11:29:50.7287813Z Compile requests executed             64
2025-12-04T11:29:50.7288246Z Cache hits                            21
2025-12-04T11:29:50.7288564Z Cache hits (C/C++)                    21
2025-12-04T11:29:50.7288909Z Cache misses                          43
2025-12-04T11:29:50.7289239Z Cache misses (C/C++)                  43
2025-12-04T11:29:50.7289561Z Cache hits rate                    32.81 %
2025-12-04T11:29:50.7289910Z Cache hits rate (C/C++)            32.81 %
2025-12-04T11:29:50.7290266Z Cache timeouts                         0
2025-12-04T11:29:50.7290608Z Cache read errors                      0
2025-12-04T11:29:50.7290952Z Forced recaches                        0
2025-12-04T11:29:50.7291470Z Cache write errors                     0
2025-12-04T11:29:50.7292178Z Cache errors                           0
2025-12-04T11:29:50.7300085Z Compilations                          43
2025-12-04T11:29:50.7300539Z Compilation failures                   0
2025-12-04T11:29:50.7300887Z Non-cacheable compilations             0
2025-12-04T11:29:50.7301243Z Non-cacheable calls                  353
2025-12-04T11:29:50.7301592Z Non-compilation calls               5257
2025-12-04T11:29:50.7302078Z Unsupported compiler calls             0
2025-12-04T11:29:50.7302436Z Average cache write                0.042 s
2025-12-04T11:29:50.7302791Z Average compiler                  14.023 s
2025-12-04T11:29:50.7303126Z Average cache read hit             0.061 s
2025-12-04T11:29:50.7303484Z Failed distributed compilations        0
2025-12-04T11:29:50.7303720Z 
2025-12-04T11:29:50.7303935Z Non-cacheable reasons:
2025-12-04T11:29:50.7304220Z -E                                   353
2025-12-04T11:29:50.7304440Z 
2025-12-04T11:29:50.7304689Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T11:29:50.7305166Z Version (client)                0.10.0
2025-12-04T11:29:50.7305520Z + echo ::endgroup::
2025-12-04T11:29:50.7306012Z ##[endgroup]
2025-12-04T11:29:50.7306243Z + cleanup_workspace
2025-12-04T11:29:50.7306773Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T11:29:50.7307939Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T11:29:50.7308609Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T11:29:50.7309090Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T11:29:50.7309667Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T11:29:50.7310303Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T11:29:50.7310792Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T11:29:54.3486138Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T11:29:54.3486661Z with:
2025-12-04T11:29:54.3486931Z   benchmark-results-dir: test/test-reports
2025-12-04T11:29:54.3487263Z   dry-run: false
2025-12-04T11:29:54.3487513Z   schema-version: v3
2025-12-04T11:29:54.3488023Z   github-token: ***
2025-12-04T11:29:54.3488386Z env:
2025-12-04T11:29:54.3488601Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:29:54.3488907Z   HAS_NVIDIA_GPU: false
2025-12-04T11:29:54.3489385Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:29:54.3489896Z ##[endgroup]
2025-12-04T11:29:54.3508952Z ##[group]Run set -eux
2025-12-04T11:29:54.3509262Z set -eux
2025-12-04T11:29:54.3509610Z 
2025-12-04T11:29:54.3509849Z if [[ -n "" ]]; then
2025-12-04T11:29:54.3510235Z   source ""
2025-12-04T11:29:54.3510559Z fi
2025-12-04T11:29:54.3510971Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T11:29:54.3511428Z 
2025-12-04T11:29:54.3511658Z DEVICE_NAME=""
2025-12-04T11:29:54.3511935Z DEVICE_TYPE=""
2025-12-04T11:29:54.3512184Z 
2025-12-04T11:29:54.3512430Z if command -v nvidia-smi; then
2025-12-04T11:29:54.3512910Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T11:29:54.3513520Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T11:29:54.3514095Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T11:29:54.3514550Z   python3 -mpip install torch==2.7.1
2025-12-04T11:29:54.3514923Z elif command -v rocminfo; then
2025-12-04T11:29:54.3515381Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T11:29:54.3515981Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T11:29:54.3516581Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T11:29:54.3517095Z   # GPU device name coming from rocminfo instead
2025-12-04T11:29:54.3517481Z   DEVICE_NAME=rocm
2025-12-04T11:29:54.3517993Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T11:29:54.3518523Z fi
2025-12-04T11:29:54.3518831Z 
2025-12-04T11:29:54.3519119Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T11:29:54.3519558Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T11:29:54.3574878Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:29:54.3575294Z env:
2025-12-04T11:29:54.3575543Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:29:54.3575822Z   HAS_NVIDIA_GPU: false
2025-12-04T11:29:54.3576306Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:29:54.3576839Z ##[endgroup]
2025-12-04T11:29:54.3615885Z + [[ -n '' ]]
2025-12-04T11:29:54.3616468Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T11:29:54.7812990Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T11:29:55.9502820Z Collecting boto3==1.35.33
2025-12-04T11:29:55.9673714Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T11:29:56.3177910Z Collecting psutil==7.0.0
2025-12-04T11:29:56.3231785Z   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)
2025-12-04T11:29:56.3534140Z Collecting pynvml==12.0.0
2025-12-04T11:29:56.3565275Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T11:29:56.4070151Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T11:29:56.4102994Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T11:29:56.4162312Z 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)
2025-12-04T11:29:57.7099086Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T11:29:57.7137449Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T11:29:57.9142877Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T11:29:57.9180262Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T11:29:57.9290248Z 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)
2025-12-04T11:29:57.9302268Z 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)
2025-12-04T11:29:58.0978725Z 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)
2025-12-04T11:29:58.2547053Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T11:29:58.7975690Z   Attempting uninstall: nvidia-ml-py
2025-12-04T11:29:58.7977456Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T11:29:58.7997101Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T11:29:58.8246433Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T11:29:58.8933908Z   Attempting uninstall: psutil
2025-12-04T11:29:58.8934664Z     Found existing installation: psutil 5.9.8
2025-12-04T11:29:58.9017398Z     Uninstalling psutil-5.9.8:
2025-12-04T11:29:58.9030476Z       Successfully uninstalled psutil-5.9.8
2025-12-04T11:29:59.0858857Z 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
2025-12-04T11:29:59.2370854Z + DEVICE_NAME=
2025-12-04T11:29:59.2371150Z + DEVICE_TYPE=
2025-12-04T11:29:59.2371400Z + command -v nvidia-smi
2025-12-04T11:29:59.2371683Z + command -v rocminfo
2025-12-04T11:29:59.2371958Z + echo DEVICE_NAME=
2025-12-04T11:29:59.2372714Z + echo DEVICE_TYPE=
2025-12-04T11:29:59.2398068Z ##[group]Run set -eux
2025-12-04T11:29:59.2398368Z set -eux
2025-12-04T11:29:59.2398616Z 
2025-12-04T11:29:59.2398864Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T11:29:59.2399245Z   echo "Missing github-token input"
2025-12-04T11:29:59.2399587Z   exit 1
2025-12-04T11:29:59.2399811Z fi
2025-12-04T11:29:59.2407857Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:29:59.2408445Z env:
2025-12-04T11:29:59.2408682Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:29:59.2408956Z   HAS_NVIDIA_GPU: false
2025-12-04T11:29:59.2409430Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:29:59.2409954Z   DEVICE_NAME: 
2025-12-04T11:29:59.2410200Z   DEVICE_TYPE: 
2025-12-04T11:29:59.2410684Z   GITHUB_TOKEN: ***
2025-12-04T11:29:59.2410935Z ##[endgroup]
2025-12-04T11:29:59.2439194Z + [[ -z *** ]]
2025-12-04T11:29:59.2489127Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T11:29:59.2489595Z with:
2025-12-04T11:29:59.2489989Z   github-token: ***
2025-12-04T11:29:59.2490231Z env:
2025-12-04T11:29:59.2490459Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:29:59.2490745Z   HAS_NVIDIA_GPU: false
2025-12-04T11:29:59.2491201Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:29:59.2491728Z   DEVICE_NAME: 
2025-12-04T11:29:59.2491969Z   DEVICE_TYPE: 
2025-12-04T11:29:59.2492201Z ##[endgroup]
2025-12-04T11:29:59.2508510Z ##[group]Run set -eux
2025-12-04T11:29:59.2508789Z set -eux
2025-12-04T11:29:59.2509029Z 
2025-12-04T11:29:59.2509537Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T11:29:59.2515651Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:29:59.2516062Z env:
2025-12-04T11:29:59.2516295Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:29:59.2516589Z   HAS_NVIDIA_GPU: false
2025-12-04T11:29:59.2517206Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:29:59.2517738Z   DEVICE_NAME: 
2025-12-04T11:29:59.2517977Z   DEVICE_TYPE: 
2025-12-04T11:29:59.2518381Z   GITHUB_TOKEN: ***
2025-12-04T11:29:59.2518635Z ##[endgroup]
2025-12-04T11:29:59.2545834Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-023512c996295bd8f
2025-12-04T11:30:02.0056266Z setting job-id=57118431093
2025-12-04T11:30:02.0056917Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T11:30:02.0193479Z ##[group]Run set -eux
2025-12-04T11:30:02.0193898Z set -eux
2025-12-04T11:30:02.0194132Z 
2025-12-04T11:30:02.0194365Z if [[ -n "" ]]; then
2025-12-04T11:30:02.0194657Z   source ""
2025-12-04T11:30:02.0194900Z fi
2025-12-04T11:30:02.0195141Z 
2025-12-04T11:30:02.0195555Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T11:30:02.0196110Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T11:30:02.0196466Z   --repo "${REPO}" \
2025-12-04T11:30:02.0196788Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T11:30:02.0197143Z   --head-sha "${HEAD_SHA}" \
2025-12-04T11:30:02.0197487Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T11:30:02.0197870Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T11:30:02.0198216Z   --job-id "${JOB_ID}" \
2025-12-04T11:30:02.0198537Z   --job-name "${JOB_NAME}"
2025-12-04T11:30:02.0204679Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:02.0205094Z env:
2025-12-04T11:30:02.0205328Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:02.0205609Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:02.0206102Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:02.0206633Z   DEVICE_NAME: 
2025-12-04T11:30:02.0206878Z   DEVICE_TYPE: 
2025-12-04T11:30:02.0207475Z   SCHEMA_VERSION: v3
2025-12-04T11:30:02.0207755Z   REPO: pytorch/pytorch
2025-12-04T11:30:02.0208228Z   HEAD_BRANCH: refs/heads/main
2025-12-04T11:30:02.0208571Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T11:30:02.0208950Z   WORKFLOW_RUN_ID: 19922826259
2025-12-04T11:30:02.0209246Z   RUN_ATTEMPT: 1
2025-12-04T11:30:02.0209593Z   JOB_ID: 57118431093
2025-12-04T11:30:02.0210132Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T11:30:02.0210725Z ##[endgroup]
2025-12-04T11:30:02.0237987Z + [[ -n '' ]]
2025-12-04T11:30:02.0240571Z + 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 57118431093 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)'
2025-12-04T11:30:02.0581904Z ##[group]Run set -eux
2025-12-04T11:30:02.0582206Z set -eux
2025-12-04T11:30:02.0582453Z 
2025-12-04T11:30:02.0582673Z if [[ -n "" ]]; then
2025-12-04T11:30:02.0582964Z   source ""
2025-12-04T11:30:02.0583238Z fi
2025-12-04T11:30:02.0583446Z 
2025-12-04T11:30:02.0583866Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T11:30:02.0590121Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:02.0590534Z env:
2025-12-04T11:30:02.0590767Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:02.0591043Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:02.0591518Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:02.0592208Z   DEVICE_NAME: 
2025-12-04T11:30:02.0592453Z   DEVICE_TYPE: 
2025-12-04T11:30:02.0592679Z ##[endgroup]
2025-12-04T11:30:02.0619547Z + [[ -n '' ]]
2025-12-04T11:30:02.0620413Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T11:30:02.1058470Z INFO:root:Fail to import torch to get the device name
2025-12-04T11:30:02.1172258Z ##[group]Run set -eux
2025-12-04T11:30:02.1172547Z set -eux
2025-12-04T11:30:02.1172791Z 
2025-12-04T11:30:02.1173060Z # TODO (huydhn): Implement this part
2025-12-04T11:30:02.1173470Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T11:30:02.1179817Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:02.1180227Z env:
2025-12-04T11:30:02.1180459Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:02.1180757Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:02.1181254Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:02.1181799Z   DEVICE_NAME: 
2025-12-04T11:30:02.1182032Z   DEVICE_TYPE: 
2025-12-04T11:30:02.1182275Z ##[endgroup]
2025-12-04T11:30:02.1212185Z + echo 'dependencies={}'
2025-12-04T11:30:02.1233368Z ##[group]Run set -eux
2025-12-04T11:30:02.1233671Z set -eux
2025-12-04T11:30:02.1233916Z 
2025-12-04T11:30:02.1234157Z if [[ -n "" ]]; then
2025-12-04T11:30:02.1234444Z   source ""
2025-12-04T11:30:02.1234700Z fi
2025-12-04T11:30:02.1234922Z 
2025-12-04T11:30:02.1235192Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T11:30:02.1235663Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T11:30:02.1236194Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T11:30:02.1236611Z   exit 0
2025-12-04T11:30:02.1236838Z fi
2025-12-04T11:30:02.1237061Z 
2025-12-04T11:30:02.1237329Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T11:30:02.1237827Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T11:30:02.1238415Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T11:30:02.1238871Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T11:30:02.1239247Z     --runners "${RUNNER_INFO}" \
2025-12-04T11:30:02.1239712Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T11:30:02.1240070Z     --dry-run
2025-12-04T11:30:02.1240334Z else
2025-12-04T11:30:02.1240726Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T11:30:02.1241317Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T11:30:02.1241770Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T11:30:02.1242147Z     --runners "${RUNNER_INFO}" \
2025-12-04T11:30:02.1242507Z     --dependencies "${DEPENDENCIES}"
2025-12-04T11:30:02.1242847Z fi
2025-12-04T11:30:02.1248763Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:02.1249160Z env:
2025-12-04T11:30:02.1249393Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:02.1249685Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:02.1250150Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:02.1250686Z   DEVICE_NAME: 
2025-12-04T11:30:02.1250932Z   DEVICE_TYPE: 
2025-12-04T11:30:02.1251198Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T11:30:02.1251537Z   DRY_RUN: false
2025-12-04T11:30:02.1253168Z   BENCHMARK_METADATA: {"timestamp": 1764847802, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118431093}
2025-12-04T11:30:02.1255095Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-35-102.ec2.internal"}, "name": "", "type": ""}]
2025-12-04T11:30:02.1255781Z   DEPENDENCIES: {}
2025-12-04T11:30:02.1256027Z ##[endgroup]
2025-12-04T11:30:02.1282081Z + [[ -n '' ]]
2025-12-04T11:30:02.1282361Z + [[ ! -d test/test-reports ]]
2025-12-04T11:30:02.1282668Z + [[ false == \t\r\u\e ]]
2025-12-04T11:30:02.1285681Z + 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": 1764847802, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118431093}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-35-102.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-12-04T11:30:02.3255465Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-c48a64fa314684ce30da.json is not a benchmark record, skipping
2025-12-04T11:30:02.3257267Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3341024Z /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': 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'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'}, 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{'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'}, 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'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-3807f6de34f6fe1d3dce.json is not a benchmark record, skipping
2025-12-04T11:30:02.3421618Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3425629Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-76553d04e1cfeb56c7d9.json is not a benchmark record, skipping
2025-12-04T11:30:02.3429917Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3431647Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_generator_test'}], 'excluded': []} from test/test-reports/td_exclusions-685a66b375a4720b8630.json is not a benchmark record, skipping
2025-12-04T11:30:02.3433367Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3435072Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_half_test'}], 'excluded': []} from test/test-reports/td_exclusions-ede1555ab524336404a9.json is not a benchmark record, skipping
2025-12-04T11:30:02.3436761Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3438478Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_vectorized_test'}], 'excluded': []} from test/test-reports/td_exclusions-ce9c17c1efe9132ea18b.json is not a benchmark record, skipping
2025-12-04T11:30:02.3440259Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3442007Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_distributions_test'}], 'excluded': []} from test/test-reports/td_exclusions-bb097370c0755e1f4db9.json is not a benchmark record, skipping
2025-12-04T11:30:02.3443743Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3445475Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_optional_test'}], 'excluded': []} from test/test-reports/td_exclusions-4cf82414ee78be7df1c2.json is not a benchmark record, skipping
2025-12-04T11:30:02.3447185Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3448954Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_complex_test'}], 'excluded': []} from test/test-reports/td_exclusions-4f87648f1e0474ac0e3c.json is not a benchmark record, skipping
2025-12-04T11:30:02.3450660Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3452458Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_complex_math_test'}], 'excluded': []} from test/test-reports/td_exclusions-e123809c6b34103b5606.json is not a benchmark record, skipping
2025-12-04T11:30:02.3454187Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3455888Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_cub_test'}], 'excluded': []} from test/test-reports/td_exclusions-50a57daaad85e2437aaf.json is not a benchmark record, skipping
2025-12-04T11:30:02.3457599Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3459339Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_atomic_ops_test'}], 'excluded': []} from test/test-reports/td_exclusions-f89571a88d9f429ca2c8.json is not a benchmark record, skipping
2025-12-04T11:30:02.3461046Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3462765Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/cuda_allocator_test'}], 'excluded': []} from test/test-reports/td_exclusions-706f81514150f445f025.json is not a benchmark record, skipping
2025-12-04T11:30:02.3464474Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3466157Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-34dc23df7137f4ed6ffb.json is not a benchmark record, skipping
2025-12-04T11:30:02.3467824Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T11:30:02.3553624Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T11:30:02.3554054Z cat test/**/*_toprint.log || true
2025-12-04T11:30:02.3560181Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:02.3560658Z env:
2025-12-04T11:30:02.3560901Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:02.3561188Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:02.3561652Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:02.3562195Z   DEVICE_NAME: 
2025-12-04T11:30:02.3562435Z   DEVICE_TYPE: 
2025-12-04T11:30:02.3562673Z ##[endgroup]
2025-12-04T11:30:02.3662783Z W1204 09:31:15.046000 2048 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T11:30:02.3663867Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-cf5a8324946cc768.xml
2025-12-04T11:30:02.3664900Z ============================= test session starts ==============================
2025-12-04T11:30:02.3665499Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T11:30:02.3666054Z cachedir: .pytest_cache
2025-12-04T11:30:02.3666704Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T11:30:02.3667420Z rootdir: /var/lib/jenkins/workspace
2025-12-04T11:30:02.3667734Z configfile: pytest.ini
2025-12-04T11:30:02.3668403Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0
2025-12-04T11:30:02.3669119Z collecting ... collected 2 items
2025-12-04T11:30:02.3669487Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T11:30:02.3669882Z Running 0 items in this shard: 
2025-12-04T11:30:02.3670092Z 
2025-12-04T11:30:02.3670731Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-cf5a8324946cc768.xml -
2025-12-04T11:30:02.3671643Z ============================ no tests ran in 0.01s =============================
2025-12-04T11:30:02.3706648Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T11:30:02.3707756Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T11:30:02.3717801Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:02.3718622Z env:
2025-12-04T11:30:02.3719058Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:02.3719814Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:02.3720809Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:02.3721954Z   DEVICE_NAME: 
2025-12-04T11:30:02.3722449Z   DEVICE_TYPE: 
2025-12-04T11:30:02.3722979Z   MONITOR_SCRIPT_PID: 44738
2025-12-04T11:30:02.3723548Z ##[endgroup]
2025-12-04T11:30:02.3759069Z /home/ec2-user/actions-runner/_work/_temp/1bf03426-581b-4775-b488-d6a80b8cc5fa.sh: line 1: kill: (44738) - No such process
2025-12-04T11:30:02.3772314Z ##[error]Process completed with exit code 1.
2025-12-04T11:30:02.3942578Z Prepare all required actions
2025-12-04T11:30:02.3943072Z Getting action download info
2025-12-04T11:30:02.5823674Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T11:30:02.8123597Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T11:30:03.2819035Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T11:30:03.2819424Z with:
2025-12-04T11:30:03.2819766Z   file-suffix: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T11:30:03.2820201Z   s3-bucket: gha-artifacts
2025-12-04T11:30:03.2820467Z env:
2025-12-04T11:30:03.2820693Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:03.2820980Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:03.2821456Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:03.2821976Z   DEVICE_NAME: 
2025-12-04T11:30:03.2822221Z   DEVICE_TYPE: 
2025-12-04T11:30:03.2822505Z ##[endgroup]
2025-12-04T11:30:03.2847527Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T11:30:03.2848013Z # Remove any previous test jsons if they exist
2025-12-04T11:30:03.2848626Z rm -f test-jsons-*.zip
2025-12-04T11:30:03.2849079Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T11:30:03.2855259Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:03.2855657Z env:
2025-12-04T11:30:03.2855888Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:03.2856293Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:03.2857020Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:03.2857621Z   DEVICE_NAME: 
2025-12-04T11:30:03.2857952Z   DEVICE_TYPE: 
2025-12-04T11:30:03.2858462Z   FILE_SUFFIX: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T11:30:03.2858937Z ##[endgroup]
2025-12-04T11:30:03.3117850Z   adding: test/test-reports/td_exclusions-c48a64fa314684ce30da.json (deflated 16%)
2025-12-04T11:30:03.3118731Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-e98f794b7a072b04.json (stored 0%)
2025-12-04T11:30:03.3119732Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-96b9493f43ed6b92.json (stored 0%)
2025-12-04T11:30:03.3120733Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-bf373a62b632f23b.json (stored 0%)
2025-12-04T11:30:03.3121703Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-2b9bd3582008c94b.json (stored 0%)
2025-12-04T11:30:03.3122770Z   adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-494398f468e0db80.json (stored 0%)
2025-12-04T11:30:03.3123993Z   adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-ae1781ce4fde7128.json (stored 0%)
2025-12-04T11:30:03.3125170Z   adding: test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-cf5a8324946cc768.json (stored 0%)
2025-12-04T11:30:03.3126304Z   adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-c0c058207208167c.json (stored 0%)
2025-12-04T11:30:03.3127544Z   adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-55a9a9a6f891a084.json (stored 0%)
2025-12-04T11:30:03.3128832Z   adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-4b9053d4088a5777.json (stored 0%)
2025-12-04T11:30:03.3130051Z   adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-1a9dcb80e3b6e4cb.json (stored 0%)
2025-12-04T11:30:03.3131033Z   adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-e0ed18e4bec65125.json (stored 0%)
2025-12-04T11:30:03.3132012Z   adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-5088b8e512793fd3.json (stored 0%)
2025-12-04T11:30:03.3133114Z   adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-7ff265a89c458993.json (stored 0%)
2025-12-04T11:30:03.3134021Z   adding: test/test-reports/python-pytest/test_torch/test_torch-c3b45a3bedafd8db.json (deflated 99%)
2025-12-04T11:30:03.3134917Z   adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-84da59aafe5ec4fe.json (stored 0%)
2025-12-04T11:30:03.3135799Z   adding: test/test-reports/python-pytest/test_utils/test_utils-9ffeffb4c4574dfc.json (deflated 99%)
2025-12-04T11:30:03.3136780Z   adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-9a45beb51a75cc12.json (stored 0%)
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2025-12-04T11:30:03.3656539Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T11:30:03.3657071Z # Remove any previous test reports if they exist
2025-12-04T11:30:03.3657470Z rm -f test-reports-*.zip
2025-12-04T11:30:03.3657982Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T11:30:03.3664385Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:03.3664778Z env:
2025-12-04T11:30:03.3665020Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:03.3665313Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:03.3665778Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:03.3666307Z   DEVICE_NAME: 
2025-12-04T11:30:03.3666548Z   DEVICE_TYPE: 
2025-12-04T11:30:03.3666891Z   FILE_SUFFIX: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T11:30:03.3667409Z ##[endgroup]
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2025-12-04T11:30:03.4356109Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T11:30:03.4356623Z # Remove any previous usage logs if they exist
2025-12-04T11:30:03.4357005Z rm -f logs-*.zip
2025-12-04T11:30:03.4357380Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T11:30:03.4357923Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T11:30:03.4364133Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:03.4364534Z env:
2025-12-04T11:30:03.4364767Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:03.4365051Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:03.4365527Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:03.4366122Z   DEVICE_NAME: 
2025-12-04T11:30:03.4366367Z   DEVICE_TYPE: 
2025-12-04T11:30:03.4366699Z   FILE_SUFFIX: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T11:30:03.4367113Z ##[endgroup]
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2025-12-04T11:30:03.4833438Z   adding: test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_5828cd235630a6ee_.log (deflated 49%)
2025-12-04T11:30:03.4834021Z   adding: test/test-reports/torch_np.test_function_base_1.1_21661f156302a9a5_.log (deflated 48%)
2025-12-04T11:30:03.4834550Z   adding: test/test-reports/torch_np.test_scalars_0D_arrays_1.1_f7cd164b1a25f7cd_.log (deflated 48%)
2025-12-04T11:30:03.4835101Z   adding: test/test-reports/profiler.test_profiler_tree_1.1_4c05b8a20aa2a229_.log (deflated 48%)
2025-12-04T11:30:03.4835632Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_3746fa462daa91a1_.log (deflated 49%)
2025-12-04T11:30:03.4836260Z   adding: test/test-reports/test_functional_autograd_benchmark_1.1_ab858062e762ccb1_.log (deflated 48%)
2025-12-04T11:30:03.4836785Z   adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_9a9e9acb4162ae58_.log (deflated 50%)
2025-12-04T11:30:03.4837441Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_ffb3607e6fd22f8a_.log (deflated 49%)
2025-12-04T11:30:03.4837934Z   adding: test/test-reports/profiler.test_python_tracer_1.1_34d49f4ec4e6d450_.log (deflated 48%)
2025-12-04T11:30:03.4838840Z   adding: test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_8075c941699eb47d_.log (deflated 53%)
2025-12-04T11:30:03.4843641Z   adding: test/test-reports/dynamo.test_fx_graph_runnable_1.1_f3a47cb56373dfeb_.log (deflated 95%)
2025-12-04T11:30:03.4872918Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T11:30:03.4873295Z # Remove any previous debugging artifacts if they exist
2025-12-04T11:30:03.4873429Z rm -f debug-*.zip
2025-12-04T11:30:03.4873539Z if [ -d 'test/debug' ]; then
2025-12-04T11:30:03.4873693Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T11:30:03.4873791Z fi
2025-12-04T11:30:03.4883842Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:03.4883934Z env:
2025-12-04T11:30:03.4884065Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:03.4884163Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:03.4884496Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:03.4884590Z   DEVICE_NAME: 
2025-12-04T11:30:03.4884681Z   DEVICE_TYPE: 
2025-12-04T11:30:03.4885059Z   FILE_SUFFIX: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093
2025-12-04T11:30:03.4885183Z ##[endgroup]
2025-12-04T11:30:03.4970826Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:30:03.4970936Z with:
2025-12-04T11:30:03.4971045Z   s3-bucket: gha-artifacts
2025-12-04T11:30:03.4971208Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:30:03.4971326Z   retention-days: 14
2025-12-04T11:30:03.4971430Z   if-no-files-found: warn
2025-12-04T11:30:03.4971534Z   path: test-jsons-*.zip
2025-12-04T11:30:03.4971638Z   name: artifact
2025-12-04T11:30:03.4971730Z   region: us-east-1
2025-12-04T11:30:03.4971812Z env:
2025-12-04T11:30:03.4971928Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:03.4972027Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:03.4972355Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:03.4972445Z   DEVICE_NAME: 
2025-12-04T11:30:03.4972534Z   DEVICE_TYPE: 
2025-12-04T11:30:03.4972633Z ##[endgroup]
2025-12-04T11:30:03.9719868Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T11:30:03.9720379Z With the provided path, there will be 1 file uploaded
2025-12-04T11:30:03.9720865Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T11:30:03.9811037Z Starting upload of test-jsons-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093.zip
2025-12-04T11:30:04.1396789Z Finished upload of test-jsons-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093.zip
2025-12-04T11:30:04.1629565Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:30:04.1629917Z with:
2025-12-04T11:30:04.1630159Z   s3-bucket: gha-artifacts
2025-12-04T11:30:04.1630502Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:30:04.1630862Z   retention-days: 14
2025-12-04T11:30:04.1631134Z   if-no-files-found: error
2025-12-04T11:30:04.1631452Z   path: test-reports-*.zip
2025-12-04T11:30:04.1631719Z   name: artifact
2025-12-04T11:30:04.1631964Z   region: us-east-1
2025-12-04T11:30:04.1632202Z env:
2025-12-04T11:30:04.1632419Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:04.1632700Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:04.1633179Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:04.1633708Z   DEVICE_NAME: 
2025-12-04T11:30:04.1633937Z   DEVICE_TYPE: 
2025-12-04T11:30:04.1634291Z ##[endgroup]
2025-12-04T11:30:04.5083861Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T11:30:04.5084362Z With the provided path, there will be 1 file uploaded
2025-12-04T11:30:04.5084843Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T11:30:04.5134766Z Starting upload of test-reports-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093.zip
2025-12-04T11:30:04.6452295Z Finished upload of test-reports-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093.zip
2025-12-04T11:30:04.6668057Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:30:04.6668421Z with:
2025-12-04T11:30:04.6668666Z   s3-bucket: gha-artifacts
2025-12-04T11:30:04.6669013Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:30:04.6669389Z   retention-days: 14
2025-12-04T11:30:04.6669663Z   if-no-files-found: ignore
2025-12-04T11:30:04.6669938Z   path: logs-*.zip
2025-12-04T11:30:04.6670186Z   name: artifact
2025-12-04T11:30:04.6670427Z   region: us-east-1
2025-12-04T11:30:04.6670660Z env:
2025-12-04T11:30:04.6670882Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:04.6671164Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:04.6671629Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:04.6672161Z   DEVICE_NAME: 
2025-12-04T11:30:04.6672403Z   DEVICE_TYPE: 
2025-12-04T11:30:04.6672641Z ##[endgroup]
2025-12-04T11:30:05.0177145Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T11:30:05.0177730Z With the provided path, there will be 1 file uploaded
2025-12-04T11:30:05.0178247Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T11:30:05.0227491Z Starting upload of logs-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093.zip
2025-12-04T11:30:05.1773693Z Finished upload of logs-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57118431093.zip
2025-12-04T11:30:05.1977083Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T11:30:05.1977432Z with:
2025-12-04T11:30:05.1977674Z   s3-bucket: gha-artifacts
2025-12-04T11:30:05.1978033Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T11:30:05.1978393Z   retention-days: 14
2025-12-04T11:30:05.1978688Z   if-no-files-found: ignore
2025-12-04T11:30:05.1979051Z   path: debug-*.zip
2025-12-04T11:30:05.1979286Z   name: artifact
2025-12-04T11:30:05.1979531Z   region: us-east-1
2025-12-04T11:30:05.1979767Z env:
2025-12-04T11:30:05.1979978Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:05.1980265Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:05.1980749Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:05.1981272Z   DEVICE_NAME: 
2025-12-04T11:30:05.1981498Z   DEVICE_TYPE: 
2025-12-04T11:30:05.1981742Z ##[endgroup]
2025-12-04T11:30:05.5362153Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T11:30:05.5569336Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T11:30:05.5569761Z # shellcheck disable=SC2156
2025-12-04T11:30:05.5570386Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T11:30:05.5576797Z shell: /usr/bin/bash -e {0}
2025-12-04T11:30:05.5577097Z env:
2025-12-04T11:30:05.5577331Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:05.5577607Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:05.5578090Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:05.5578624Z   DEVICE_NAME: 
2025-12-04T11:30:05.5578862Z   DEVICE_TYPE: 
2025-12-04T11:30:05.5579086Z ##[endgroup]
2025-12-04T11:30:05.8994312Z Prepare all required actions
2025-12-04T11:30:05.8994777Z Getting action download info
2025-12-04T11:30:06.1942931Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T11:30:06.4848031Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T11:30:06.4848540Z with:
2025-12-04T11:30:06.4848758Z   job_id: 57118431093
2025-12-04T11:30:06.4849301Z   job_name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)
2025-12-04T11:30:06.4850022Z   workflow_name: periodic
2025-12-04T11:30:06.4850303Z   workflow_run_id: 19922826259
2025-12-04T11:30:06.4850603Z   workflow_attempt: 1
2025-12-04T11:30:06.4850860Z env:
2025-12-04T11:30:06.4851076Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:06.4851366Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:06.4851847Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:06.4852422Z   DEVICE_NAME: 
2025-12-04T11:30:06.4852664Z   DEVICE_TYPE: 
2025-12-04T11:30:06.4852889Z ##[endgroup]
2025-12-04T11:30:06.4904950Z ##[group]Run actions/setup-python@v6
2025-12-04T11:30:06.4905284Z with:
2025-12-04T11:30:06.4905517Z   python-version: 3.10
2025-12-04T11:30:06.4905793Z   check-latest: false
2025-12-04T11:30:06.4906169Z   token: ***
2025-12-04T11:30:06.4906418Z   update-environment: true
2025-12-04T11:30:06.4906724Z   allow-prereleases: false
2025-12-04T11:30:06.4907013Z   freethreaded: false
2025-12-04T11:30:06.4907698Z env:
2025-12-04T11:30:06.4907928Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:06.4908201Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:06.4908684Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:06.4909213Z   DEVICE_NAME: 
2025-12-04T11:30:06.4909457Z   DEVICE_TYPE: 
2025-12-04T11:30:06.4909678Z ##[endgroup]
2025-12-04T11:30:06.9741597Z ##[group]Installed versions
2025-12-04T11:30:06.9751416Z Version 3.10 was not found in the local cache
2025-12-04T11:30:07.0054327Z (node:219192) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T11:30:07.0055355Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T11:30:07.3396198Z ##[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
2025-12-04T11:30:07.3583150Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T11:30:07.3583617Z with:
2025-12-04T11:30:07.3583823Z env:
2025-12-04T11:30:07.3584051Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:07.3584336Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:07.3584803Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:07.3585331Z   DEVICE_NAME: 
2025-12-04T11:30:07.3585570Z   DEVICE_TYPE: 
2025-12-04T11:30:07.3585803Z ##[endgroup]
2025-12-04T11:30:07.3602049Z ##[group]Run set -eou pipefail
2025-12-04T11:30:07.3602381Z set -eou pipefail
2025-12-04T11:30:07.3602677Z 
2025-12-04T11:30:07.3603069Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T11:30:07.3603563Z for _ in $(seq 1440); do
2025-12-04T11:30:07.3603904Z     # Break if no ssh session exists anymore
2025-12-04T11:30:07.3604283Z     if [ "$(who)" = "" ]; then
2025-12-04T11:30:07.3604632Z       break
2025-12-04T11:30:07.3604882Z     fi
2025-12-04T11:30:07.3605126Z     echo "."
2025-12-04T11:30:07.3605389Z     sleep 5
2025-12-04T11:30:07.3605632Z done
2025-12-04T11:30:07.3612969Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:07.3613382Z env:
2025-12-04T11:30:07.3613603Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:07.3613891Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:07.3614371Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:07.3614885Z   DEVICE_NAME: 
2025-12-04T11:30:07.3615134Z   DEVICE_TYPE: 
2025-12-04T11:30:07.3615373Z ##[endgroup]
2025-12-04T11:30:07.3642623Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T11:30:07.3723087Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T11:30:07.3723676Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T11:30:07.3724246Z # shellcheck disable=SC2046
2025-12-04T11:30:07.3724607Z docker stop $(docker ps -q) || true
2025-12-04T11:30:07.3724977Z # Prune all of the docker images
2025-12-04T11:30:07.3725315Z docker system prune -af
2025-12-04T11:30:07.3731285Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:07.3731689Z env:
2025-12-04T11:30:07.3731909Z   GIT_DEFAULT_BRANCH: main
2025-12-04T11:30:07.3732196Z   HAS_NVIDIA_GPU: false
2025-12-04T11:30:07.3732671Z   DOCKER_CONTAINER_ID: b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:07.3733189Z   DEVICE_NAME: 
2025-12-04T11:30:07.3733441Z   DEVICE_TYPE: 
2025-12-04T11:30:07.3733685Z ##[endgroup]
2025-12-04T11:30:18.1192386Z b387d3604d29
2025-12-04T11:30:19.1035271Z Deleted Containers:
2025-12-04T11:30:19.1035750Z b387d3604d29ca049fe8f1fea1f4495ea075b6b566f6520c0fa4f209fe345ed9
2025-12-04T11:30:19.1036147Z 
2025-12-04T11:30:32.6116603Z Deleted Images:
2025-12-04T11:30:32.6117552Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T11:30:32.6130344Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97
2025-12-04T11:30:32.6131462Z deleted: sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301
2025-12-04T11:30:32.6132156Z deleted: sha256:85a76b7bf29ad34eb76cce6f46af5d49a58b6272f80f983d5c769e82c7749301
2025-12-04T11:30:32.6132852Z deleted: sha256:0882f3ce59ff5ae30195ee4b059fc713e13eda107a3a7814a4616ac9058a30a4
2025-12-04T11:30:32.6133823Z deleted: sha256:64ba5b9344c11a3e4729136076830b90ac4cf1554046edb1bd4f0784b66ebd9b
2025-12-04T11:30:32.6134497Z deleted: sha256:88213c59cf461a65ab9b6cb07b4195dc9d41b5241c152daa002c7b3112e09124
2025-12-04T11:30:32.6135176Z deleted: sha256:4c0f83afa802ffbc05ebaf1aa50e48a2447c7c295549a6dded80ac63437906ca
2025-12-04T11:30:32.6136012Z deleted: sha256:6f7ec74460e8fb070c8209949095ea3be5f4e2fd69c9f750cd39ac4093f5e64b
2025-12-04T11:30:32.6136681Z deleted: sha256:d6928b0d1021b31942fdcb64e5eb4a34682de66e959dd424ed6ed02c29cd706d
2025-12-04T11:30:32.6137356Z deleted: sha256:4e9fbcb1705a6351bb34dd320558752614308636b94fd9ae6f26063e3deadc0a
2025-12-04T11:30:32.6138025Z deleted: sha256:43aabd0201f48712f21758071352dea029b4de37be08b2e2197706856a9ecbf2
2025-12-04T11:30:32.6138687Z deleted: sha256:940a98dec78303f0548beb1033242a45e9097607ef3e55c8b949b69b73d1b95e
2025-12-04T11:30:32.6139340Z deleted: sha256:d2849fa0e0411cf66e4408831d70e38838afb55b11a80c1c4d8aa0ae7dc9ca40
2025-12-04T11:30:32.6140013Z deleted: sha256:14f40d23c20c7e562623f89deb376520296758bc39dd3c77284049b84ebd8a31
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2025-12-04T11:30:32.6251666Z Total reclaimed space: 34.76GB
2025-12-04T11:30:32.6343639Z Post job cleanup.
2025-12-04T11:30:32.6382406Z Post job cleanup.
2025-12-04T11:30:32.7858293Z (node:219350) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T11:30:32.7859156Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T11:30:32.8042360Z Post job cleanup.
2025-12-04T11:30:32.8101436Z Post job cleanup.
2025-12-04T11:30:32.9222121Z [command]/usr/bin/git version
2025-12-04T11:30:32.9286315Z git version 2.50.1
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2025-12-04T11:30:32.9334828Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T11:30:32.9338935Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
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2025-12-04T11:30:33.5356691Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T11:30:33.5374280Z http.https://github.com/.extraheader
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2025-12-04T11:30:33.5417339Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
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2025-12-04T11:30:34.0898525Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
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2025-12-04T11:30:34.0980406Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
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2025-12-04T11:30:34.2582748Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T11:30:34.2626547Z http.https://github.com/.extraheader
2025-12-04T11:30:34.2686670Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T11:30:34.2720232Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T11:30:34.3068890Z Entering 'android/libs/fbjni'
2025-12-04T11:30:34.3098616Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T11:30:34.3118371Z Entering 'third_party/FP16'
2025-12-04T11:30:34.3149531Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-12-04T11:30:34.3168372Z Entering 'third_party/FXdiv'
2025-12-04T11:30:34.3198286Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-12-04T11:30:34.3217705Z Entering 'third_party/NNPACK'
2025-12-04T11:30:34.3247486Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-12-04T11:30:34.3268715Z Entering 'third_party/NVTX'
2025-12-04T11:30:34.3298671Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-12-04T11:30:34.3318409Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T11:30:34.3348191Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-12-04T11:30:34.3367122Z Entering 'third_party/XNNPACK'
2025-12-04T11:30:34.3397068Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-12-04T11:30:34.3433002Z Entering 'third_party/aiter'
2025-12-04T11:30:34.3462922Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-12-04T11:30:34.3483490Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T11:30:34.3513331Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-12-04T11:30:34.3542983Z Entering 'third_party/benchmark'
2025-12-04T11:30:34.3573065Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T11:30:34.3592283Z Entering 'third_party/composable_kernel'
2025-12-04T11:30:34.3623886Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-12-04T11:30:34.3652896Z Entering 'third_party/cpp-httplib'
2025-12-04T11:30:34.3682900Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T11:30:34.3701563Z Entering 'third_party/cpuinfo'
2025-12-04T11:30:34.3731530Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T11:30:34.3750998Z Entering 'third_party/cudnn_frontend'
2025-12-04T11:30:34.3781165Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-12-04T11:30:34.3800231Z Entering 'third_party/cutlass'
2025-12-04T11:30:34.3830528Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T11:30:34.3858728Z Entering 'third_party/fbgemm'
2025-12-04T11:30:34.3888959Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-12-04T11:30:34.3910801Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T11:30:34.3939425Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T11:30:34.3957272Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T11:30:34.3985801Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-12-04T11:30:34.4015239Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T11:30:34.4043687Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T11:30:34.4062054Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T11:30:34.4090513Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T11:30:34.4120074Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T11:30:34.4148587Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T11:30:34.4166522Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T11:30:34.4194913Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-12-04T11:30:34.4214371Z Entering 'third_party/fbgemm/external/json'
2025-12-04T11:30:34.4242822Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-12-04T11:30:34.4265324Z Entering 'third_party/flash-attention'
2025-12-04T11:30:34.4295643Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-12-04T11:30:34.4315314Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T11:30:34.4344088Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
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2025-12-04T11:30:34.6460533Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
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2025-12-04T11:30:34.6560459Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T11:30:34.6608635Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T11:30:34.6659425Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
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2025-12-04T11:30:34.6708232Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
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2025-12-04T11:30:34.6757815Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T11:30:34.6905181Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
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2025-12-04T11:30:34.6953053Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T11:30:34.7046684Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-12-04T11:30:34.7094897Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T11:30:34.9457719Z A job completed hook has been configured by the self-hosted runner administrator
2025-12-04T11:30:34.9473969Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-12-04T11:30:34.9479670Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T11:30:34.9480085Z ##[endgroup]
2025-12-04T11:30:44.7970655Z Cleaning up orphan processes