2025-12-04T09:18:10.8771943Z Current runner version: '2.330.0'
2025-12-04T09:18:10.8778783Z Runner name: 'i-043608d803c94131d'
2025-12-04T09:18:10.8779599Z Runner group name: 'default'
2025-12-04T09:18:10.8780555Z Machine name: 'ip-10-0-36-232'
2025-12-04T09:18:10.8783507Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T09:18:10.8786048Z Contents: read
2025-12-04T09:18:10.8786737Z Metadata: read
2025-12-04T09:18:10.8787253Z ##[endgroup]
2025-12-04T09:18:10.8789517Z Secret source: Actions
2025-12-04T09:18:10.8790339Z Prepare workflow directory
2025-12-04T09:18:10.9305977Z Prepare all required actions
2025-12-04T09:18:10.9346437Z Getting action download info
2025-12-04T09:18:11.2674591Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T09:18:13.4916854Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f)
2025-12-04T09:18:27.7369203Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T09:18:28.0615792Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T09:18:28.3207583Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T09:18:28.5066987Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:18:28.7144636Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T09:18:29.0225726Z Getting action download info
2025-12-04T09:18:29.1802705Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T09:18:29.5071928Z Getting action download info
2025-12-04T09:18:29.6466772Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T09:18:29.8718820Z Getting action download info
2025-12-04T09:18:30.0121519Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T09:18:30.2088989Z Getting action download info
2025-12-04T09:18:30.3517647Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T09:18:30.3521850Z ##[group] Inputs
2025-12-04T09:18:30.3522368Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:18:30.3530211Z   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"}]}
2025-12-04T09:18:30.3538728Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:18:30.3539633Z   sync-tag: 
2025-12-04T09:18:30.3540482Z   timeout-minutes: 240
2025-12-04T09:18:30.3540748Z   use-gha: 
2025-12-04T09:18:30.3540977Z   dashboard-tag: 
2025-12-04T09:18:30.3541229Z   s3-bucket: gha-artifacts
2025-12-04T09:18:30.3541510Z   aws-role-to-assume: 
2025-12-04T09:18:30.3542089Z   disable-monitor: false
2025-12-04T09:18:30.3542409Z   monitor-log-interval: 5
2025-12-04T09:18:30.3542728Z   monitor-data-collect-interval: 1
2025-12-04T09:18:30.3543049Z ##[endgroup]
2025-12-04T09:18:30.3543609Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:18:30.4072657Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T09:18:30.4174842Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T09:18:30.4184215Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:30.4184892Z ##[endgroup]
2025-12-04T09:18:31.9625035Z Runner Type: linux.4xlarge
2025-12-04T09:18:31.9625573Z Instance Type: c5.4xlarge
2025-12-04T09:18:31.9625850Z AMI Name: unknown
2025-12-04T09:18:31.9654065Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T09:18:37.5093494Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T09:18:37.5093950Z with:
2025-12-04T09:18:37.5094540Z   github-secret: ***
2025-12-04T09:18:37.5095298Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T09:18:37.5096119Z   activate-with-label: false
2025-12-04T09:18:37.5096398Z   label: with-ssh
2025-12-04T09:18:37.5096656Z   remove-existing-keys: true
2025-12-04T09:18:37.5096948Z   fail-silently: true
2025-12-04T09:18:37.5097189Z env:
2025-12-04T09:18:37.5097415Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:37.5097700Z ##[endgroup]
2025-12-04T09:18:37.6621524Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T09:18:37.6622778Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T09:18:37.7004572Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T09:18:37.7005044Z with:
2025-12-04T09:18:37.7005275Z   no-sudo: true
2025-12-04T09:18:37.7005514Z   submodules: recursive
2025-12-04T09:18:37.7005792Z   fetch-depth: 0
2025-12-04T09:18:37.7006031Z env:
2025-12-04T09:18:37.7006243Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:37.7006516Z ##[endgroup]
2025-12-04T09:18:37.7080541Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:18:37.7081542Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:18:37.7091838Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:37.7092398Z env:
2025-12-04T09:18:37.7092646Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:37.7092957Z ##[endgroup]
2025-12-04T09:18:37.7171226Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T09:18:37.7171680Z # Use all available CPUs for fetching
2025-12-04T09:18:37.7172043Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:18:37.7172387Z git config --global fetch.parallel 0
2025-12-04T09:18:37.7172790Z git config --global submodule.fetchJobs 0
2025-12-04T09:18:37.7173146Z 
2025-12-04T09:18:37.7173509Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T09:18:37.7174005Z # do it here as well just in case
2025-12-04T09:18:37.7174338Z if [[ -d .git ]]; then
2025-12-04T09:18:37.7174631Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:18:37.7174960Z     sudo git clean -ffdx
2025-12-04T09:18:37.7175253Z   else
2025-12-04T09:18:37.7175500Z     git clean -ffdx
2025-12-04T09:18:37.7175775Z   fi
2025-12-04T09:18:37.7175997Z fi
2025-12-04T09:18:37.7181796Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:37.7182183Z env:
2025-12-04T09:18:37.7182489Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:37.7182785Z   NO_SUDO: true
2025-12-04T09:18:37.7183003Z ##[endgroup]
2025-12-04T09:18:37.7299192Z ##[group]Run actions/checkout@v4
2025-12-04T09:18:37.7299502Z with:
2025-12-04T09:18:37.7299766Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:18:37.7300108Z   fetch-depth: 0
2025-12-04T09:18:37.7300354Z   submodules: recursive
2025-12-04T09:18:37.7300623Z   show-progress: false
2025-12-04T09:18:37.7300896Z   repository: pytorch/pytorch
2025-12-04T09:18:37.7301313Z   token: ***
2025-12-04T09:18:37.7301544Z   ssh-strict: true
2025-12-04T09:18:37.7301787Z   ssh-user: git
2025-12-04T09:18:37.7302023Z   persist-credentials: true
2025-12-04T09:18:37.7302300Z   clean: true
2025-12-04T09:18:37.7302560Z   sparse-checkout-cone-mode: true
2025-12-04T09:18:37.7302871Z   fetch-tags: false
2025-12-04T09:18:37.7303116Z   lfs: false
2025-12-04T09:18:37.7303360Z   set-safe-directory: true
2025-12-04T09:18:37.7303626Z env:
2025-12-04T09:18:37.7303845Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:18:37.7304113Z ##[endgroup]
2025-12-04T09:18:37.8461171Z Syncing repository: pytorch/pytorch
2025-12-04T09:18:37.8462557Z ##[group]Getting Git version info
2025-12-04T09:18:37.8463062Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:18:37.8463757Z [command]/usr/bin/git version
2025-12-04T09:18:37.8670429Z git version 2.50.1
2025-12-04T09:18:37.8696712Z ##[endgroup]
2025-12-04T09:18:37.8708837Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7e194ab0-09f7-4f58-8951-94a2ff204c2c/.gitconfig'
2025-12-04T09:18:37.8728730Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7e194ab0-09f7-4f58-8951-94a2ff204c2c' before making global git config changes
2025-12-04T09:18:37.8734372Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T09:18:37.8736173Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:18:37.8786729Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:18:37.8790341Z ##[group]Initializing the repository
2025-12-04T09:18:37.8795093Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:18:37.8859591Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T09:18:37.8860747Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T09:18:37.8861710Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T09:18:37.8862144Z hint:
2025-12-04T09:18:37.8862451Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T09:18:37.8862816Z hint:
2025-12-04T09:18:37.8863150Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T09:18:37.8863971Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T09:18:37.8864433Z hint:
2025-12-04T09:18:37.8864666Z hint: 	git branch -m <name>
2025-12-04T09:18:37.8864924Z hint:
2025-12-04T09:18:37.8865328Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T09:18:37.8868712Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T09:18:37.8878494Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T09:18:37.8916097Z ##[endgroup]
2025-12-04T09:18:37.8916920Z ##[group]Disabling automatic garbage collection
2025-12-04T09:18:37.8920237Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T09:18:37.8945359Z ##[endgroup]
2025-12-04T09:18:37.8946081Z ##[group]Setting up auth
2025-12-04T09:18:37.8952375Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T09:18:37.8979369Z [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' || :"
2025-12-04T09:18:37.9279446Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T09:18:37.9311808Z [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' || :"
2025-12-04T09:18:37.9618464Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:18:37.9643544Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T09:18:37.9901718Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:18:37.9942101Z ##[endgroup]
2025-12-04T09:18:37.9942542Z ##[group]Fetching the repository
2025-12-04T09:18:37.9949748Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T09:19:26.9730214Z From https://github.com/pytorch/pytorch
2025-12-04T09:19:26.9731009Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T09:19:26.9731902Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T09:19:26.9732527Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T09:19:26.9733504Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T09:19:26.9734139Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T09:19:26.9734756Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T09:19:26.9736049Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T09:19:26.9738595Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T09:19:26.9739827Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T09:19:26.9741394Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T09:19:26.9743638Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T09:19:26.9744822Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T09:19:26.9745900Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T09:19:26.9747676Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T09:19:26.9749159Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T09:19:26.9751561Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T09:19:26.9754187Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T09:19:26.9756511Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T09:19:26.9758014Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T09:19:26.9759837Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T09:19:26.9761642Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T09:19:26.9763533Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T09:19:26.9765213Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T09:19:26.9766994Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T09:19:26.9768584Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T09:19:26.9771069Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T09:19:26.9774084Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T09:19:26.9775496Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T09:19:26.9778085Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T09:19:26.9779520Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T09:19:26.9782401Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T09:19:26.9783904Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T09:19:26.9785522Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T09:19:26.9787355Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
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2025-12-04T09:19:27.6660178Z  * [new branch]              zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn
2025-12-04T09:19:27.6661487Z  * [new branch]              zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check
2025-12-04T09:19:27.6663104Z  * [new branch]              zhxchen17/precompile/aoti   -> origin/zhxchen17/precompile/aoti
2025-12-04T09:19:27.6664807Z  * [new branch]              zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals
2025-12-04T09:19:27.6666168Z  * [new branch]              zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards
2025-12-04T09:19:27.6667613Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-12-04T09:19:27.6669437Z  * [new branch]              zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update
2025-12-04T09:19:27.6671080Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-12-04T09:19:27.6672745Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-12-04T09:19:27.6674045Z  * [new branch]              zxiiro/c7i.2xlarge          -> origin/zxiiro/c7i.2xlarge
2025-12-04T09:19:27.6675392Z  * [new branch]              zxiiro/c7i.2xlarge.h100     -> origin/zxiiro/c7i.2xlarge.h100
2025-12-04T09:19:27.6676614Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-12-04T09:19:27.6678081Z  * [new branch]              zxiiro/risc64               -> origin/zxiiro/risc64
2025-12-04T09:19:27.6679548Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-12-04T09:19:27.6680878Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-12-04T09:19:27.6681807Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-12-04T09:19:27.6683039Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-12-04T09:19:27.6683838Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-12-04T09:19:27.6684745Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T09:19:27.6685482Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T09:19:27.6686540Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T09:19:27.6687279Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T09:19:27.6688309Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T09:19:27.6689790Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T09:19:27.6690652Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T09:19:27.6691608Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T09:19:27.6692569Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T09:19:27.6693817Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T09:19:27.6695093Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T09:19:27.6696175Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T09:19:27.6697052Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T09:19:27.6698006Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T09:19:27.6699098Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T09:19:27.6699888Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T09:19:27.6701120Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T09:19:27.6701872Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T09:19:27.6703130Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T09:19:27.6704095Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T09:19:27.6705041Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T09:19:27.6706089Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T09:19:27.6707080Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T09:19:27.6707805Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T09:19:27.6708894Z  * [new tag]                 ciflow/dynamo/169525        -> ciflow/dynamo/169525
2025-12-04T09:19:27.6710413Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T09:19:27.6711183Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T09:19:27.6712360Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T09:19:27.6713270Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T09:19:27.6714062Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T09:19:27.6714867Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T09:19:27.6716169Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T09:19:27.6716911Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T09:19:27.6717722Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T09:19:27.6718551Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T09:19:27.6719606Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T09:19:27.6720347Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T09:19:27.6721351Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T09:19:27.6722277Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T09:19:27.6723061Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T09:19:27.6723939Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T09:19:27.6724707Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T09:19:27.6725715Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T09:19:27.6726361Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T09:19:27.6727312Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T09:19:27.6728040Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T09:19:27.6729018Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T09:19:27.6729979Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T09:19:27.6731108Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T09:19:27.6732218Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T09:19:27.6733377Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T09:19:27.6734162Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T09:19:27.6735165Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T09:19:27.6735940Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T09:19:27.6736899Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T09:19:27.6737677Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T09:19:27.6738798Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T09:19:27.6740179Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T09:19:27.6741568Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T09:19:27.6742353Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T09:19:27.6743387Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T09:19:27.6744829Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T09:19:27.6745669Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T09:19:27.6746534Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T09:19:27.6747537Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T09:19:27.6748397Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T09:19:27.6749276Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T09:19:27.6750096Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T09:19:27.6751164Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T09:19:27.6752352Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T09:19:27.6753412Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T09:19:27.6754155Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T09:19:27.6755184Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T09:19:27.6755953Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T09:19:27.6757102Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T09:19:27.6757797Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T09:19:27.6758625Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T09:19:27.6759441Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T09:19:27.6760694Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T09:19:27.6761422Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T09:19:27.6762635Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T09:19:27.6763653Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T09:19:27.6764356Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T09:19:27.6765185Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T09:19:27.6766243Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T09:19:27.6767058Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T09:19:27.6767845Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T09:19:27.6768811Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T09:19:27.6769563Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T09:19:27.6770367Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T09:19:27.6771325Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T09:19:27.6772062Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T09:19:27.6773268Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T09:19:27.6774415Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T09:19:27.6775478Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T09:19:27.6776287Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T09:19:27.6777223Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T09:19:27.6778232Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T09:19:27.6779299Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T09:19:27.6780043Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T09:19:27.6781223Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T09:19:27.6781993Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T09:19:27.6782982Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T09:19:27.6783742Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T09:19:27.6784876Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T09:19:27.6785665Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T09:19:27.6786617Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T09:19:27.6787401Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T09:19:27.6788413Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T09:19:27.6789228Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T09:19:27.6790242Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T09:19:27.6791307Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T09:19:27.6792081Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T09:19:27.6793054Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T09:19:27.6793860Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T09:19:27.6794796Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T09:19:27.6795860Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T09:19:27.6796803Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T09:19:27.6797586Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T09:19:27.6798684Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T09:19:27.6799444Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T09:19:27.6800411Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T09:19:27.6801425Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T09:19:27.6802279Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T09:19:27.6803259Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T09:19:27.6804033Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T09:19:27.6804994Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T09:19:27.6805772Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T09:19:27.6806777Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T09:19:27.6807560Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T09:19:27.6808908Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T09:19:27.6810017Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T09:19:27.6810822Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T09:19:27.6811783Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T09:19:27.6812559Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T09:19:27.6813547Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T09:19:27.6814479Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T09:19:27.6815264Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T09:19:27.6816224Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T09:19:27.6816997Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T09:19:27.6818019Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T09:19:27.6819302Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T09:19:27.6820097Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T09:19:27.6821088Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T09:19:27.6821898Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T09:19:27.6822889Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T09:19:27.6823679Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T09:19:27.6824732Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T09:19:27.6825443Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T09:19:27.6826420Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T09:19:27.6827194Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T09:19:27.6828162Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T09:19:27.6828956Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T09:19:27.6830094Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T09:19:27.6830896Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T09:19:27.6831748Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T09:19:27.6832758Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T09:19:27.6833527Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T09:19:27.6834499Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T09:19:27.6835311Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T09:19:27.6836292Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T09:19:27.6837088Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T09:19:27.6838168Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T09:19:27.6838962Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T09:19:27.6839925Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T09:19:27.6840709Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T09:19:27.6841843Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T09:19:27.6842871Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T09:19:27.6843693Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T09:19:27.6844645Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T09:19:27.6845456Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T09:19:27.6846437Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T09:19:27.6847329Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T09:19:27.6848152Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T09:19:27.6849136Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T09:19:27.6849932Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T09:19:27.6850895Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T09:19:27.6851698Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T09:19:27.6852673Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T09:19:27.6853469Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T09:19:27.6854679Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T09:19:27.6855443Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T09:19:27.6856632Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T09:19:27.6857722Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T09:19:27.6858466Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T09:19:27.6859458Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T09:19:27.6860246Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T09:19:27.6861249Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T09:19:27.6862018Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T09:19:27.6862998Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T09:19:27.6864035Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T09:19:27.6864999Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T09:19:27.6865805Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T09:19:27.6866922Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T09:19:27.6867934Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T09:19:27.6868876Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T09:19:27.6869659Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T09:19:27.6870737Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T09:19:27.6872114Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T09:19:27.6872931Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T09:19:27.6873889Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T09:19:27.6874692Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T09:19:27.6875690Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T09:19:27.6876486Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T09:19:27.6877764Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T09:19:27.6879183Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T09:19:27.6880154Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T09:19:27.6881043Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T09:19:27.6881851Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T09:19:27.6883045Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T09:19:27.6884076Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T09:19:27.6884893Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T09:19:27.6885870Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T09:19:27.6887143Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T09:19:27.6887915Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T09:19:27.6888914Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T09:19:27.6889682Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T09:19:27.6890642Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T09:19:27.6891710Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T09:19:27.6892500Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T09:19:27.6893603Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T09:19:27.6894284Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T09:19:27.6895543Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T09:19:27.6896324Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T09:19:27.6897292Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T09:19:27.6898348Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T09:19:27.6899326Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T09:19:27.6900138Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T09:19:27.6900975Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T09:19:27.6902127Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T09:19:27.6902873Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T09:19:27.6904098Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T09:19:27.6904997Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T09:19:27.6906032Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T09:19:27.6907127Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T09:19:27.6907907Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T09:19:27.6908924Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T09:19:27.6909718Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T09:19:27.6910702Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T09:19:27.6911514Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T09:19:27.6912456Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T09:19:27.6913639Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T09:19:27.6915007Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T09:19:27.6915795Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T09:19:27.6916847Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T09:19:27.6917736Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T09:19:27.6918652Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T09:19:27.6919463Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T09:19:27.6920456Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T09:19:27.6921268Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T09:19:27.6922328Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T09:19:27.6923288Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T09:19:27.6924065Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T09:19:27.6925043Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T09:19:27.6926100Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T09:19:27.6927057Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T09:19:27.6927835Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T09:19:27.6928897Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T09:19:27.6929880Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T09:19:27.6930646Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T09:19:27.6931682Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T09:19:27.6932446Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T09:19:27.6933460Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T09:19:27.6934368Z  * [new tag]                 ciflow/inductor/169557      -> ciflow/inductor/169557
2025-12-04T09:19:27.6935572Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T09:19:27.6936668Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T09:19:27.6937761Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T09:19:27.6938816Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T09:19:27.6939567Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T09:19:27.6940401Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T09:19:27.6941239Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T09:19:27.6942293Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T09:19:27.6943039Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T09:19:27.6944093Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T09:19:27.6944862Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T09:19:27.6945994Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T09:19:27.6946746Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T09:19:27.6947578Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T09:19:27.6948786Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T09:19:27.6949641Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T09:19:27.6950446Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T09:19:27.6951311Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T09:19:27.6952399Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T09:19:27.6953138Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T09:19:27.6953954Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T09:19:27.6955331Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T09:19:27.6956075Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T09:19:27.6957137Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T09:19:27.6957891Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T09:19:27.6958695Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T09:19:27.6959901Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T09:19:27.6960931Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T09:19:27.6962079Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T09:19:27.6963190Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T09:19:27.6964744Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:27.6965759Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T09:19:27.6967072Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T09:19:27.6968204Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T09:19:27.6969239Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T09:19:27.6970345Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T09:19:27.6971541Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T09:19:27.6972777Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T09:19:27.6974125Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T09:19:27.6975420Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T09:19:27.6976359Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T09:19:27.6977142Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T09:19:27.6977937Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T09:19:27.6981363Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T09:19:27.6982078Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T09:19:27.6983226Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T09:19:27.6983927Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T09:19:27.6985141Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T09:19:27.6986215Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T09:19:27.6986952Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T09:19:27.6987900Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T09:19:27.6988620Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T09:19:27.6990118Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T09:19:27.6990902Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T09:19:27.6991792Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T09:19:27.6992890Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T09:19:27.6993649Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T09:19:27.6994702Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T09:19:27.6995442Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T09:19:27.6996376Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T09:19:27.6997116Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T09:19:27.6998054Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T09:19:27.6998802Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T09:19:27.6999823Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T09:19:27.7000490Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T09:19:27.7001379Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T09:19:27.7002199Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T09:19:27.7003217Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T09:19:27.7004326Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T09:19:27.7005468Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T09:19:27.7006498Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T09:19:27.7007420Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T09:19:27.7008198Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T09:19:27.7009178Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T09:19:27.7009962Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T09:19:27.7010934Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T09:19:27.7011936Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T09:19:27.7012705Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T09:19:27.7013676Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T09:19:27.7014559Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T09:19:27.7015480Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T09:19:27.7016289Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T09:19:27.7017239Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T09:19:27.7018039Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T09:19:27.7019279Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T09:19:27.7020285Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T09:19:27.7021748Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T09:19:27.7022367Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T09:19:27.7023318Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T09:19:27.7024041Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T09:19:27.7025192Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T09:19:27.7026731Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T09:19:27.7028225Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T09:19:27.7029538Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T09:19:27.7030778Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T09:19:27.7031889Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T09:19:27.7032920Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T09:19:27.7033985Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T09:19:27.7035542Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T09:19:27.7036134Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T09:19:27.7037342Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T09:19:27.7038290Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T09:19:27.7039364Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T09:19:27.7040446Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T09:19:27.7042121Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T09:19:27.7042791Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T09:19:27.7043981Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T09:19:27.7044750Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T09:19:27.7045699Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T09:19:27.7046459Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T09:19:27.7047384Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T09:19:27.7048148Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T09:19:27.7049115Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T09:19:27.7049894Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T09:19:27.7050847Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T09:19:27.7051602Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T09:19:27.7052565Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T09:19:27.7053910Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T09:19:27.7055050Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-12-04T09:19:27.7056144Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T09:19:27.7057102Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T09:19:27.7057909Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T09:19:27.7058866Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T09:19:27.7059939Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T09:19:27.7060861Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T09:19:27.7061734Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T09:19:27.7062639Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T09:19:27.7063534Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T09:19:27.7064487Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T09:19:27.7065280Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T09:19:27.7066260Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T09:19:27.7067294Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T09:19:27.7068227Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T09:19:27.7068996Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T09:19:27.7070189Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T09:19:27.7071003Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T09:19:27.7071992Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T09:19:27.7073051Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T09:19:27.7073783Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T09:19:27.7074773Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T09:19:27.7075565Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T09:19:27.7076532Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T09:19:27.7077465Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T09:19:27.7078494Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T09:19:27.7079525Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T09:19:27.7080627Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T09:19:27.7081508Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T09:19:27.7082374Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T09:19:27.7083504Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T09:19:27.7084439Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T09:19:27.7085209Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T09:19:27.7086199Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T09:19:27.7087271Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T09:19:27.7088061Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T09:19:27.7089042Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T09:19:27.7090146Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T09:19:27.7090944Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T09:19:27.7091924Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T09:19:27.7092830Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T09:19:27.7093640Z  * [new tag]                 ciflow/trunk/169048         -> ciflow/trunk/169048
2025-12-04T09:19:27.7094616Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T09:19:27.7095498Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T09:19:27.7096384Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T09:19:27.7097269Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T09:19:27.7098525Z  * [new tag]                 ciflow/trunk/169125         -> ciflow/trunk/169125
2025-12-04T09:19:27.7099543Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T09:19:27.7101024Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T09:19:27.7101812Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T09:19:27.7102878Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T09:19:27.7104017Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T09:19:27.7104941Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T09:19:27.7105840Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T09:19:27.7106758Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T09:19:27.7108005Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T09:19:27.7108868Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T09:19:27.7110084Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T09:19:27.7110871Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T09:19:27.7111870Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T09:19:27.7112790Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T09:19:27.7113891Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T09:19:27.7114831Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T09:19:27.7115771Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T09:19:27.7116547Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T09:19:27.7117552Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T09:19:27.7118811Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T09:19:27.7119742Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T09:19:27.7120541Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T09:19:27.7121526Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T09:19:27.7122678Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T09:19:27.7123594Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T09:19:27.7124491Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T09:19:27.7125418Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T09:19:27.7126522Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T09:19:27.7127415Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T09:19:27.7128365Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T09:19:27.7129271Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T09:19:27.7130211Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T09:19:27.7131149Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T09:19:27.7132073Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T09:19:27.7133010Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T09:19:27.7133811Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T09:19:27.7134895Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T09:19:27.7135694Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T09:19:27.7136820Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T09:19:27.7137769Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T09:19:27.7138552Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T09:19:27.7139717Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T09:19:27.7140645Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T09:19:27.7141565Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T09:19:27.7142499Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T09:19:27.7143409Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T09:19:27.7144312Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T09:19:27.7145301Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T09:19:27.7146092Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T09:19:27.7147062Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T09:19:27.7147993Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T09:19:27.7149021Z  * [new tag]                 ciflow/trunk/169555         -> ciflow/trunk/169555
2025-12-04T09:19:27.7150286Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T09:19:27.7151314Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T09:19:27.7152069Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T09:19:27.7152869Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T09:19:27.7153817Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T09:19:27.7154560Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T09:19:27.7155683Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T09:19:27.7156426Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T09:19:27.7157356Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T09:19:27.7158319Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T09:19:27.7159074Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T09:19:27.7160009Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T09:19:27.7160759Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T09:19:27.7161790Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T09:19:27.7162735Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T09:19:27.7163466Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T09:19:27.7164438Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T09:19:27.7165541Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T09:19:27.7166929Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T09:19:27.7167984Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T09:19:27.7168918Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T09:19:27.7169837Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T09:19:27.7170746Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T09:19:27.7171766Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T09:19:27.7172633Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T09:19:27.7173566Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T09:19:27.7174612Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T09:19:27.7175495Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T09:19:27.7176425Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T09:19:27.7177377Z  * [new tag]                 ciflow/xpu/169555           -> ciflow/xpu/169555
2025-12-04T09:19:27.7178545Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T09:19:27.7179489Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T09:19:27.7180479Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T09:19:27.7181550Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T09:19:27.7182706Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T09:19:27.7183968Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T09:19:27.7185057Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T09:19:27.7186125Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T09:19:27.7187162Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T09:19:27.7188145Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T09:19:27.7189074Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T09:19:27.7190171Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T09:19:27.7191237Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T09:19:27.7192248Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T09:19:27.7193254Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T09:19:27.7194177Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T09:19:27.7195631Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T09:19:27.7196557Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T09:19:27.7197610Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T09:19:27.7198817Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T09:19:27.7199862Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T09:19:27.7200894Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T09:19:27.7201949Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T09:19:27.7203329Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T09:19:27.7204331Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T09:19:27.7205331Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T09:19:27.7206515Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T09:19:27.7207548Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T09:19:27.7208720Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T09:19:27.7210104Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T09:19:27.7210997Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T09:19:27.7212372Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T09:19:27.7213667Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T09:19:27.7214633Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T09:19:27.7215599Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T09:19:27.7216814Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T09:19:27.7217680Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T09:19:27.7219018Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T09:19:27.7220040Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T09:19:27.7221017Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T09:19:27.7222194Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T09:19:27.7223148Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T09:19:27.7224143Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T09:19:27.7225447Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T09:19:27.7226418Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T09:19:27.7227489Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T09:19:27.7228495Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T09:19:27.7229647Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T09:19:27.7230524Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T09:19:27.7231550Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T09:19:27.7232777Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T09:19:27.7233587Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T09:19:27.7234579Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T09:19:27.7235803Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T09:19:27.7236735Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T09:19:27.7237755Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T09:19:27.7238716Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T09:19:27.7240027Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T09:19:27.7240855Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T09:19:27.7241842Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T09:19:27.7243096Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T09:19:27.7244086Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T09:19:27.7245214Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T09:19:27.7245976Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T09:19:27.7247000Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T09:19:27.7248048Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T09:19:27.7249321Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T09:19:27.7250199Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T09:19:27.7251429Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T09:19:27.7252370Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T09:19:27.7253356Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T09:19:27.7254435Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T09:19:27.7255407Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T09:19:27.7256406Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T09:19:27.7257579Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T09:19:27.7258552Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T09:19:27.7259395Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T09:19:27.7260658Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T09:19:27.7261602Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T09:19:27.7262755Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T09:19:27.7263693Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T09:19:27.7264659Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T09:19:27.7267270Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T09:19:27.7267658Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T09:19:27.7268220Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T09:19:27.7268837Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T09:19:27.7269775Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T09:19:27.7270744Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T09:19:27.7271929Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T09:19:27.7272680Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T09:19:27.7274454Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T09:19:27.7275427Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T09:19:27.7277006Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T09:19:27.7278009Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T09:19:27.7279232Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T09:19:27.7280187Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T09:19:27.7281388Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T09:19:27.7282428Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T09:19:27.7283503Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T09:19:27.7284751Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T09:19:27.7285739Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T09:19:27.7286644Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T09:19:27.7287852Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T09:19:27.7288791Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T09:19:27.7289635Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T09:19:27.7290906Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T09:19:27.7291847Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T09:19:27.7293062Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T09:19:27.7293840Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T09:19:27.7295024Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T09:19:27.7296048Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T09:19:27.7297266Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T09:19:27.7298202Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T09:19:27.7299190Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T09:19:27.7300332Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T09:19:27.7301326Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T09:19:27.7302489Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T09:19:27.7303442Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T09:19:27.7304509Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T09:19:27.7305455Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T09:19:27.7306562Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T09:19:27.7307506Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T09:19:27.7308663Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T09:19:27.7309628Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T09:19:27.7310684Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T09:19:27.7311689Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T09:19:27.7312915Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T09:19:27.7313807Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T09:19:27.7314824Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T09:19:27.7315826Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T09:19:27.7316944Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T09:19:27.7318117Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T09:19:27.7318888Z  * [new tag]                 trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f
2025-12-04T09:19:27.7320050Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T09:19:27.7321196Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T09:19:27.7322404Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T09:19:27.7323166Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T09:19:27.7324273Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T09:19:27.7325439Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T09:19:27.7326304Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T09:19:27.7327524Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T09:19:27.7328367Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:27.7329351Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T09:19:27.7330426Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T09:19:27.7331509Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T09:19:27.7332396Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T09:19:27.7333265Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T09:19:27.7334304Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T09:19:27.7350129Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T09:19:27.7350571Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T09:19:27.7351098Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T09:19:27.7351493Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T09:19:27.7351916Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T09:19:27.7352309Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T09:19:27.7352716Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T09:19:27.7353125Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T09:19:27.7353519Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T09:19:27.7353935Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T09:19:27.7354319Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T09:19:27.7354714Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T09:19:27.7355119Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T09:19:27.7355518Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T09:19:27.7355923Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T09:19:27.7356317Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T09:19:27.7356738Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T09:19:27.7357128Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T09:19:27.7357527Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T09:19:27.7357935Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T09:19:27.7358321Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T09:19:27.7358730Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T09:19:27.7359132Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T09:19:27.7359574Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T09:19:27.7360040Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T09:19:27.7361241Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T09:19:27.7362283Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T09:19:27.7363158Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T09:19:27.7364361Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T09:19:27.7365364Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T09:19:27.7366378Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T09:19:27.7367319Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T09:19:27.7368226Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T09:19:27.7369406Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T09:19:27.7370414Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T09:19:27.7371561Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T09:19:27.7372592Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T09:19:27.7373802Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T09:19:27.7374938Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T09:19:27.7375964Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T09:19:27.7377091Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T09:19:27.7378195Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T09:19:27.7379437Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T09:19:27.7380629Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T09:19:27.7381542Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T09:19:27.7382538Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T09:19:27.7383686Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T09:19:27.7384648Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T09:19:27.7385819Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T09:19:27.7387150Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T09:19:27.7388069Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T09:19:27.7389100Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T09:19:27.7390509Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T09:19:27.7391490Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T09:19:27.7392650Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T09:19:27.7393642Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T09:19:27.7394539Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T09:19:27.7395997Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T09:19:27.7397209Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T09:19:27.7398083Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T09:19:27.7399288Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T09:19:27.7400301Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T09:19:27.7401270Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T09:19:27.7402458Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T09:19:27.7403731Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T09:19:27.7404906Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T09:19:27.7405924Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T09:19:27.7406879Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T09:19:27.7408059Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T09:19:27.7409043Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T09:19:27.7410567Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T09:19:27.7411695Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T09:19:27.7412674Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T09:19:27.7413849Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T09:19:27.7414863Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T09:19:27.7415871Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T09:19:27.7416996Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T09:19:27.7417956Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T09:19:27.7419395Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T09:19:27.7420588Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T09:19:27.7421429Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T09:19:27.7422571Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T09:19:27.7423768Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T09:19:27.7424755Z  * [new tag]                 trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3
2025-12-04T09:19:27.7425915Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T09:19:27.7426865Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T09:19:27.7427996Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T09:19:27.7429528Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T09:19:27.7430498Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T09:19:27.7431730Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T09:19:27.7432707Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T09:19:27.7433865Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T09:19:27.7434803Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T09:19:27.7435964Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T09:19:27.7436844Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T09:19:27.7438028Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T09:19:27.7438999Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T09:19:27.7439921Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T09:19:27.7441102Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T09:19:27.7442133Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T09:19:27.7443802Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T09:19:27.7444799Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T09:19:27.7446078Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:27.7446694Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T09:19:27.7447759Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T09:19:27.7448794Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T09:19:27.7449782Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T09:19:27.7450722Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T09:19:27.7451644Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T09:19:27.7452638Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T09:19:27.7453583Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T09:19:27.7454593Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T09:19:27.7455562Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T09:19:27.7456531Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T09:19:27.7457510Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T09:19:27.7458525Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T09:19:27.7459536Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T09:19:27.7460680Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T09:19:27.7461616Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T09:19:27.7462590Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T09:19:27.7463546Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T09:19:27.7464709Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T09:19:27.7465685Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T09:19:27.7466735Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T09:19:27.7467484Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T09:19:27.7468546Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T09:19:27.7469596Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T09:19:27.7470836Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T09:19:27.7471905Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T09:19:27.7472994Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T09:19:27.7473706Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T09:19:27.7474834Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T09:19:27.7475599Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T09:19:27.7476517Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T09:19:27.7477233Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T09:19:27.7480604Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T09:19:27.7481710Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T09:19:27.7483349Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T09:19:27.7484480Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T09:19:27.7485575Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T09:19:27.7486740Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T09:19:27.7487614Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T09:19:27.7488309Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T09:19:27.7489564Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T09:19:27.7490463Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T09:19:27.7491516Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T09:19:27.7492611Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T09:19:27.7493657Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T09:19:27.7494672Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T09:19:27.7495914Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T09:19:27.7496672Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T09:19:27.7497551Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T09:19:27.7498296Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T09:19:27.7499650Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T09:19:27.7500671Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T09:19:27.7501796Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T09:19:27.7502854Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T09:19:27.7503603Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T09:19:27.7504703Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T09:19:27.7505745Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T09:19:27.7506774Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T09:19:27.7507755Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T09:19:27.7508979Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T09:19:27.7509725Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T09:19:27.7510609Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T09:19:27.7511724Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T09:19:27.7512449Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T09:19:27.7513536Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T09:19:27.7514564Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T09:19:27.7515566Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T09:19:27.7516581Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T09:19:27.7517318Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T09:19:27.7518361Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T09:19:27.7519411Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T09:19:27.7520155Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T09:19:27.7521338Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T09:19:27.7522498Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T09:19:27.7523587Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T09:19:27.7524705Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T09:19:27.7525668Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T09:19:27.7526394Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T09:19:27.7527527Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T09:19:27.7528283Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T09:19:27.7529176Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T09:19:27.7530253Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T09:19:27.7531507Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T09:19:27.7532521Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T09:19:27.7533547Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T09:19:27.7534588Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T09:19:27.7535714Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T09:19:27.7536466Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T09:19:27.7537619Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T09:19:27.7538678Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T09:19:27.7540521Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T09:19:27.7540972Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T09:19:27.7541897Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T09:19:27.7542943Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T09:19:27.7544113Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T09:19:27.7545309Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T09:19:27.7546008Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T09:19:27.7547326Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T09:19:27.7548624Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T09:19:27.7549712Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T09:19:27.7550770Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T09:19:27.7551774Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T09:19:27.7552640Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T09:19:27.7553398Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T09:19:27.7554496Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T09:19:27.7555385Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T09:19:27.7556132Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T09:19:27.7557732Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T09:19:27.7558604Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T09:19:27.7559594Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T09:19:27.7560630Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T09:19:27.7561733Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T09:19:27.7562939Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T09:19:27.7563832Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T09:19:27.7564933Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T09:19:27.7566210Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T09:19:27.7567081Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T09:19:27.7568152Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T09:19:27.7569174Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T09:19:27.7570236Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T09:19:27.7571352Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T09:19:27.7572385Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T09:19:27.7573476Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T09:19:27.7574417Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T09:19:27.7575449Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T09:19:27.7576561Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T09:19:27.7577462Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T09:19:27.7578593Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T09:19:27.7579453Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T09:19:27.7580986Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T09:19:27.7582003Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T09:19:27.7583136Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T09:19:27.7584283Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T09:19:27.7585357Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T09:19:27.7586515Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T09:19:27.7587384Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T09:19:27.7588520Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T09:19:27.7589640Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T09:19:27.7590692Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T09:19:27.7591874Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T09:19:27.7592947Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T09:19:27.7593995Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T09:19:27.7594865Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T09:19:27.7595874Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T09:19:27.7597009Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T09:19:27.7598103Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T09:19:27.7599088Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T09:19:27.7600148Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T09:19:27.7601222Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T09:19:27.7602319Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T09:19:27.7603331Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T09:19:27.7604343Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T09:19:27.7605360Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T09:19:27.7606455Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T09:19:27.7607332Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T09:19:27.7608083Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T09:19:27.7609199Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T09:19:27.7610330Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T09:19:27.7611211Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T09:19:27.7612067Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T09:19:27.7612807Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T09:19:27.7614028Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T09:19:27.7615263Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T09:19:27.7616154Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T09:19:27.7617308Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T09:19:27.7618324Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T09:19:27.7619408Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T09:19:27.7620587Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T09:19:27.7621453Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T09:19:27.7622522Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T09:19:27.7623610Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T09:19:27.7624654Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T09:19:27.7625753Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T09:19:27.7626561Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T09:19:27.7627651Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T09:19:27.7628728Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T09:19:27.7629590Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T09:19:27.7630451Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T09:19:27.7631600Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T09:19:27.7632674Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T09:19:27.7633741Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T09:19:27.7634865Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T09:19:27.7635981Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T09:19:27.7636999Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T09:19:27.7638066Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T09:19:27.7639093Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T09:19:27.7640227Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T09:19:27.7641308Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T09:19:27.7642445Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T09:19:27.7643534Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T09:19:27.7644654Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T09:19:27.7645511Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T09:19:27.7646643Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T09:19:27.7647724Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T09:19:27.7648817Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T09:19:27.7649881Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T09:19:27.7650925Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T09:19:27.7651851Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T09:19:27.7652838Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T09:19:27.7653926Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T09:19:27.7654962Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T09:19:27.7656017Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T09:19:27.7657182Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T09:19:27.7658230Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T09:19:27.7659349Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T09:19:27.7660492Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T09:19:27.7661369Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T09:19:27.7662097Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T09:19:27.7662986Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T09:19:27.7664180Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T09:19:27.7665390Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T09:19:27.7666526Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T09:19:27.7667531Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T09:19:27.7668819Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T09:19:27.7670019Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T09:19:27.7671089Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T09:19:27.7672324Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T09:19:27.7673374Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T09:19:27.7674670Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T09:19:27.7675738Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T09:19:27.7676654Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T09:19:27.7677904Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T09:19:27.7679018Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T09:19:27.7680103Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T09:19:27.7681150Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T09:19:27.7682235Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T09:19:27.7683799Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T09:19:27.7684980Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T09:19:27.7686120Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T09:19:27.7686997Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T09:19:27.7688175Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T09:19:27.7689257Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T09:19:27.7690399Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T09:19:27.7691581Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T09:19:27.7692605Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T09:19:27.7693525Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T09:19:27.7694567Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T09:19:27.7695631Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T09:19:27.7696922Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T09:19:27.7698021Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T09:19:27.7699196Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T09:19:27.7700295Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T09:19:27.7701517Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T09:19:27.7702560Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T09:19:27.7703661Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T09:19:27.7704790Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T09:19:27.7705954Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T09:19:27.7707012Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T09:19:27.7708334Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T09:19:27.7709457Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T09:19:27.7710634Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T09:19:27.7711733Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T09:19:27.7713083Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T09:19:27.7714166Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T09:19:27.7715478Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T09:19:27.7716386Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T09:19:27.7717186Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T09:19:27.7718333Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T09:19:27.7719705Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T09:19:27.7721130Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T09:19:27.7722211Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T09:19:27.7723269Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T09:19:27.7724245Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T09:19:27.7725229Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T09:19:27.7726231Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T09:19:27.7727246Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T09:19:27.7728256Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T09:19:27.7729223Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T09:19:27.7730499Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T09:19:27.7731712Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T09:19:27.7732802Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T09:19:27.7733960Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T09:19:27.7735150Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T09:19:27.7736238Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T09:19:27.7737303Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T09:19:27.7738351Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T09:19:27.7739469Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T09:19:27.7740531Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T09:19:27.7741556Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T09:19:27.7742577Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T09:19:27.7743621Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T09:19:27.7744656Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T09:19:27.7745665Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T09:19:27.7746720Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T09:19:27.7747882Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T09:19:27.7748896Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T09:19:27.7749891Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T09:19:27.7750950Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T09:19:27.7752045Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T09:19:27.7753077Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T09:19:27.7754171Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T09:19:27.7755245Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T09:19:27.7756374Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T09:19:27.7757454Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T09:19:27.7758473Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T09:19:27.7760087Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T09:19:27.7761129Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T09:19:27.7762252Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T09:19:27.7763373Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T09:19:27.7764568Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T09:19:27.7765294Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T09:19:27.7766524Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T09:19:27.7767510Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T09:19:27.7768533Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T09:19:27.7769881Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T09:19:27.7770995Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T09:19:27.7772091Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T09:19:27.7773151Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T09:19:27.7774238Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T09:19:27.7775384Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T09:19:27.7776448Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T09:19:27.7777806Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T09:19:27.7778856Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T09:19:27.7779906Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T09:19:27.7780985Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T09:19:27.7782096Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T09:19:27.7783095Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T09:19:27.7784224Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T09:19:27.7785344Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T09:19:27.7786240Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T09:19:27.7787469Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T09:19:27.7788424Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T09:19:27.7789517Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T09:19:27.7790633Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T09:19:27.7791664Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T09:19:27.7792726Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T09:19:27.7793760Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T09:19:27.7794906Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T09:19:27.7795715Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T09:19:27.7796896Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T09:19:27.7797973Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T09:19:27.7799134Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T09:19:27.7800271Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T09:19:27.7801289Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T09:19:27.7802179Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T09:19:27.7803339Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T09:19:27.7804585Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T09:19:27.7805590Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T09:19:27.7806654Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T09:19:27.7807718Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T09:19:27.7808757Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T09:19:27.7809823Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T09:19:27.7810876Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T09:19:27.7811996Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T09:19:27.7813076Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T09:19:27.7814165Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T09:19:27.7815241Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T09:19:27.7816358Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T09:19:27.7817406Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T09:19:27.7818462Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T09:19:27.7819834Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T09:19:27.7820851Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T09:19:27.7821947Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T09:19:27.7823028Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T09:19:27.7823827Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T09:19:27.7824989Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T09:19:27.7826132Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T09:19:27.7827126Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T09:19:27.7828159Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T09:19:27.7829634Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T09:19:27.7830927Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T09:19:27.7832027Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T09:19:27.7833115Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T09:19:27.7833893Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T09:19:27.7835104Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T09:19:27.7836206Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T09:19:27.7837316Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T09:19:27.7838417Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T09:19:27.7839611Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T09:19:27.7840802Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T09:19:27.7841854Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T09:19:27.7843033Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T09:19:27.7844151Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T09:19:27.7845221Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T09:19:27.7846403Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T09:19:27.7847466Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T09:19:27.7848526Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T09:19:27.7849641Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T09:19:27.7850749Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T09:19:27.7851878Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T09:19:27.7852892Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T09:19:27.7853959Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T09:19:27.7854976Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T09:19:27.7856155Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T09:19:27.7857224Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T09:19:27.7858334Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T09:19:27.7859442Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T09:19:27.7860538Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T09:19:27.7861596Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T09:19:27.7862680Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T09:19:27.7863585Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T09:19:27.7864580Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T09:19:27.7865708Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T09:19:27.7866726Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T09:19:27.7867769Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T09:19:27.7868873Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T09:19:27.7870060Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T09:19:27.7871164Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T09:19:27.7872296Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T09:19:27.7873423Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T09:19:27.7874609Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T09:19:27.7876101Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T09:19:27.7877160Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T09:19:27.7878381Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T09:19:27.7879433Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T09:19:27.7880603Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T09:19:27.7882207Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T09:19:27.7883372Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T09:19:27.7884144Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T09:19:27.7885313Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T09:19:27.7886430Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T09:19:27.7887532Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T09:19:27.7888469Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T09:19:27.7889513Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T09:19:27.7890577Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T09:19:27.7891604Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T09:19:27.7892671Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T09:19:27.7893686Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T09:19:27.7894755Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T09:19:27.7895836Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T09:19:27.7896947Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T09:19:27.7898093Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T09:19:27.7899116Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T09:19:27.7900590Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T09:19:27.7903070Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T09:19:27.7904113Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T09:19:27.7905269Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T09:19:27.7906343Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T09:19:27.7907540Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T09:19:27.7908507Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T09:19:27.7909623Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T09:19:27.7910757Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T09:19:27.7911912Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T09:19:27.7913050Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T09:19:27.7914091Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T09:19:27.7915192Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T09:19:27.7916371Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T09:19:27.7917454Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T09:19:27.7918531Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T09:19:27.7919571Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T09:19:27.7920620Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T09:19:27.7921679Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T09:19:27.7922860Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T09:19:27.7923905Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T09:19:27.7924948Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T09:19:27.7926072Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T09:19:27.7927153Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T09:19:27.7928232Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T09:19:27.7929331Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T09:19:27.7930415Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T09:19:27.7931491Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T09:19:27.7932570Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T09:19:27.7933653Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T09:19:27.7934773Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T09:19:27.7935911Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T09:19:27.7936996Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T09:19:27.7938077Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T09:19:27.7939187Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T09:19:27.7940308Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T09:19:27.7941361Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T09:19:27.7942372Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T09:19:27.7943447Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T09:19:27.7944559Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T09:19:27.7945687Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T09:19:27.7946927Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T09:19:27.7947946Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T09:19:27.7949466Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T09:19:27.7950555Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T09:19:27.7951622Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T09:19:27.7952682Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T09:19:27.7953786Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T09:19:27.7954817Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T09:19:27.7955910Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T09:19:27.7956990Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T09:19:27.7958087Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T09:19:27.7959153Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T09:19:27.7960214Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T09:19:27.7961345Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T09:19:27.7962534Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T09:19:27.7963766Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T09:19:27.7964872Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T09:19:27.7965909Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T09:19:27.7967101Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T09:19:27.7968175Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T09:19:27.7969228Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T09:19:27.7970304Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T09:19:27.7971618Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T09:19:27.7973110Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T09:19:27.7974178Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T09:19:27.7975210Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T09:19:27.7976409Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T09:19:27.7977465Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T09:19:27.7978699Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T09:19:27.7979802Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T09:19:27.7980964Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T09:19:27.7982122Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T09:19:27.7983306Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T09:19:27.7984377Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T09:19:27.7985451Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T09:19:27.7986629Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T09:19:27.7987706Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T09:19:27.7988786Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T09:19:27.7989974Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T09:19:27.7991057Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T09:19:27.7992130Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T09:19:27.7993304Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T09:19:27.7994356Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T09:19:27.7995434Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T09:19:27.7996557Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T09:19:27.7997660Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T09:19:27.7998859Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T09:19:27.7999939Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T09:19:27.8001044Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T09:19:27.8002215Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T09:19:27.8003514Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T09:19:27.8004644Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T09:19:27.8005792Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T09:19:27.8007249Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T09:19:27.8008321Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T09:19:27.8009502Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T09:19:27.8010731Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T09:19:27.8012211Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T09:19:27.8013292Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T09:19:27.8014416Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T09:19:27.8015459Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T09:19:27.8016666Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T09:19:27.8017603Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T09:19:27.8018824Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T09:19:27.8020281Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T09:19:27.8021465Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T09:19:27.8022537Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T09:19:27.8023618Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T09:19:27.8024796Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T09:19:27.8025863Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T09:19:27.8026945Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T09:19:27.8028026Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T09:19:27.8029006Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T09:19:27.8030173Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T09:19:27.8031230Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T09:19:27.8032357Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T09:19:27.8033450Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T09:19:27.8034533Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T09:19:27.8035630Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T09:19:27.8036726Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T09:19:27.8037955Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T09:19:27.8039020Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T09:19:27.8040145Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T09:19:27.8041314Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T09:19:27.8042327Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T09:19:27.8043313Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T09:19:27.8044399Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T09:19:27.8045916Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T09:19:27.8046983Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T09:19:27.8048212Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T09:19:27.8049579Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T09:19:27.8050668Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T09:19:27.8051815Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T09:19:27.8052931Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T09:19:27.8054094Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T09:19:27.8055253Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T09:19:27.8056489Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T09:19:27.8057721Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T09:19:27.8058913Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T09:19:27.8060061Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T09:19:27.8061197Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T09:19:27.8062371Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T09:19:27.8063511Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T09:19:27.8064665Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T09:19:27.8065887Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T09:19:27.8066858Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T09:19:27.8068002Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T09:19:27.8069257Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T09:19:27.8070387Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T09:19:27.8071457Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T09:19:27.8073053Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T09:19:27.8074167Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T09:19:27.8075263Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T09:19:27.8076415Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T09:19:27.8077694Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T09:19:27.8082298Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T09:19:27.8083477Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T09:19:27.8084638Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T09:19:27.8085800Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T09:19:27.8086911Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T09:19:27.8088073Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T09:19:27.8089185Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T09:19:27.8090358Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T09:19:27.8091476Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T09:19:27.8092570Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T09:19:27.8093922Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T09:19:27.8095074Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T09:19:27.8096200Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T09:19:27.8097446Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T09:19:27.8098587Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T09:19:27.8099738Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T09:19:27.8100847Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T09:19:27.8101955Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T09:19:27.8103024Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T09:19:27.8104210Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T09:19:27.8105332Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T09:19:27.8106416Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T09:19:27.8107578Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T09:19:27.8108775Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T09:19:27.8109889Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T09:19:27.8111017Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T09:19:27.8112121Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T09:19:27.8113233Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T09:19:27.8114419Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T09:19:27.8115526Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T09:19:27.8116621Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T09:19:27.8117926Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T09:19:27.8119099Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T09:19:27.8120178Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T09:19:27.8121442Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T09:19:27.8122681Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T09:19:27.8124334Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T09:19:27.8125369Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T09:19:27.8126535Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T09:19:27.8127626Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T09:19:27.8128798Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T09:19:27.8129953Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T09:19:27.8131090Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T09:19:27.8132218Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T09:19:27.8133388Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T09:19:27.8134604Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T09:19:27.8135560Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T09:19:27.8137052Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T09:19:27.8138108Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T09:19:27.8139220Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T09:19:27.8140376Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T09:19:27.8141550Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T09:19:27.8142701Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T09:19:27.8143795Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T09:19:27.8144927Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T09:19:27.8146058Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T09:19:27.8147175Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T09:19:27.8149269Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T09:19:27.8149668Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T09:19:27.8150932Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T09:19:27.8151842Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T09:19:27.8153059Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T09:19:27.8154018Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T09:19:27.8155179Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T09:19:27.8156448Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T09:19:27.8157238Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T09:19:27.8158574Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T09:19:27.8159652Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T09:19:27.8160837Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T09:19:27.8162250Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T09:19:27.8163260Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T09:19:27.8164466Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T09:19:27.8165598Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T09:19:27.8166718Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T09:19:27.8167850Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T09:19:27.8168997Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T09:19:27.8170014Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T09:19:27.8171098Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T09:19:27.8172049Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T09:19:27.8173239Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T09:19:27.8174365Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T09:19:27.8175317Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T09:19:27.8176839Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T09:19:27.8178056Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T09:19:27.8179221Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T09:19:27.8180453Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T09:19:27.8181563Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T09:19:27.8182695Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T09:19:27.8183802Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T09:19:27.8184945Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T09:19:27.8186417Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T09:19:27.8187658Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T09:19:27.8188772Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T09:19:27.8189894Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T09:19:27.8191020Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T09:19:27.8192178Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T09:19:27.8193339Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T09:19:27.8194473Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T09:19:27.8195671Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T09:19:27.8196827Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T09:19:27.8198431Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T09:19:27.8199468Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T09:19:27.8200597Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T09:19:27.8201739Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T09:19:27.8203092Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T09:19:27.8204307Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T09:19:27.8205498Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T09:19:27.8206747Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T09:19:27.8207926Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T09:19:27.8209136Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T09:19:27.8210262Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T09:19:27.8211389Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T09:19:27.8212355Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T09:19:27.8213498Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T09:19:27.8214620Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T09:19:27.8215603Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T09:19:27.8216758Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T09:19:27.8217886Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T09:19:27.8218841Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T09:19:27.8219950Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T09:19:27.8221068Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T09:19:27.8222223Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T09:19:27.8223424Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T09:19:27.8224523Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T09:19:27.8225606Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T09:19:27.8226728Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T09:19:27.8227823Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T09:19:27.8229090Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T09:19:27.8230170Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T09:19:27.8231296Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T09:19:27.8232375Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T09:19:27.8233534Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T09:19:27.8234653Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T09:19:27.8235774Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T09:19:27.8236938Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T09:19:27.8238053Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T09:19:27.8239226Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T09:19:27.8240401Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T09:19:27.8241521Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T09:19:27.8242891Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T09:19:27.8243953Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T09:19:27.8245212Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T09:19:27.8246292Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T09:19:27.8247631Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T09:19:27.8248799Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T09:19:27.8249971Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T09:19:27.8251076Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T09:19:27.8252209Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T09:19:27.8253453Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T09:19:27.8254560Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T09:19:27.8255883Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T09:19:27.8257005Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T09:19:27.8258145Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T09:19:27.8259128Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T09:19:27.8260355Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T09:19:27.8261470Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T09:19:27.8262558Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T09:19:27.8263709Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T09:19:27.8264883Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T09:19:27.8266641Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T09:19:27.8267753Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T09:19:27.8268878Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T09:19:27.8269850Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T09:19:27.8271009Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T09:19:27.8272608Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T09:19:27.8273742Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T09:19:27.8274892Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T09:19:27.8275876Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T09:19:27.8277037Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T09:19:27.8278422Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T09:19:27.8279372Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T09:19:27.8280506Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T09:19:27.8281732Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T09:19:27.8283153Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T09:19:27.8284293Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T09:19:27.8285426Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T09:19:27.8286774Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T09:19:27.8287894Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T09:19:27.8289041Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T09:19:27.8290190Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T09:19:27.8291208Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T09:19:27.8292443Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T09:19:27.8293533Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T09:19:27.8294688Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T09:19:27.8295910Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T09:19:27.8297082Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T09:19:27.8298255Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T09:19:27.8299467Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T09:19:27.8300630Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T09:19:27.8301770Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T09:19:27.8302948Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T09:19:27.8304177Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T09:19:27.8305153Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T09:19:27.8306292Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T09:19:27.8307450Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T09:19:27.8308650Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T09:19:27.8309841Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T09:19:27.8310939Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T09:19:27.8312053Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T09:19:27.8313139Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T09:19:27.8314390Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T09:19:27.8315489Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T09:19:27.8316690Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T09:19:27.8317803Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T09:19:27.8318943Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T09:19:27.8320221Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T09:19:27.8321470Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T09:19:27.8322679Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T09:19:27.8323736Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T09:19:27.8324687Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T09:19:27.8325833Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T09:19:27.8326924Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T09:19:27.8328033Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T09:19:27.8329152Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T09:19:27.8330285Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T09:19:27.8331485Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T09:19:27.8332603Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T09:19:27.8333693Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T09:19:27.8335326Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T09:19:27.8336554Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T09:19:27.8337814Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T09:19:27.8338815Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T09:19:27.8339979Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T09:19:27.8341259Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T09:19:27.8342291Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T09:19:27.8343268Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T09:19:27.8344434Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T09:19:27.8345546Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T09:19:27.8347846Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T09:19:27.8349024Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T09:19:27.8350173Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T09:19:27.8351310Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T09:19:27.8352468Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T09:19:27.8353683Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T09:19:27.8355050Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T09:19:27.8356242Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T09:19:27.8357386Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T09:19:27.8358489Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T09:19:27.8359664Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T09:19:27.8360835Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T09:19:27.8362105Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T09:19:27.8363341Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T09:19:27.8364331Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T09:19:27.8365454Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T09:19:27.8366675Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T09:19:27.8367832Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T09:19:27.8368996Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T09:19:27.8370142Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T09:19:27.8371274Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T09:19:27.8372540Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T09:19:27.8373699Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T09:19:27.8374676Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T09:19:27.8375882Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T09:19:27.8377080Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T09:19:27.8378181Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T09:19:27.8379174Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T09:19:27.8380165Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T09:19:27.8381329Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T09:19:27.8382512Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T09:19:27.8383675Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T09:19:27.8384877Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T09:19:27.8386076Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T09:19:27.8387254Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T09:19:27.8388471Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T09:19:27.8389635Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T09:19:27.8390777Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T09:19:27.8392020Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T09:19:27.8392951Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T09:19:27.8394244Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T09:19:27.8395490Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T09:19:27.8396804Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T09:19:27.8397988Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T09:19:27.8399149Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T09:19:27.8400300Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T09:19:27.8401451Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T09:19:27.8402744Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T09:19:27.8403916Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T09:19:27.8405042Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T09:19:27.8406234Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T09:19:27.8407516Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T09:19:27.8408794Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T09:19:27.8409816Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T09:19:27.8410912Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T09:19:27.8412197Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T09:19:27.8413353Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T09:19:27.8414639Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T09:19:27.8415775Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T09:19:27.8416962Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T09:19:27.8418075Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T09:19:27.8419281Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T09:19:27.8420249Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T09:19:27.8421396Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T09:19:27.8422915Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T09:19:27.8424190Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T09:19:27.8425354Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T09:19:27.8426474Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T09:19:27.8427575Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T09:19:27.8428743Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T09:19:27.8429869Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T09:19:27.8430906Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T09:19:27.8431912Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T09:19:27.8433187Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T09:19:27.8434321Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T09:19:27.8435430Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T09:19:27.8436615Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T09:19:27.8437726Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T09:19:27.8438885Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T09:19:27.8440044Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T09:19:27.8441244Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T09:19:27.8442439Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T09:19:27.8443442Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T09:19:27.8444573Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T09:19:27.8445860Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T09:19:27.8446942Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T09:19:27.8448027Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T09:19:27.8449416Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T09:19:27.8450461Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T09:19:27.8451532Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T09:19:27.8452741Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T09:19:27.8453911Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T09:19:27.8455028Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T09:19:27.8456135Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T09:19:27.8457540Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T09:19:27.8458640Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T09:19:27.8459735Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T09:19:27.8460851Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T09:19:27.8461975Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T09:19:27.8463091Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T09:19:27.8464345Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T09:19:27.8465503Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T09:19:27.8466476Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T09:19:27.8467641Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T09:19:27.8468823Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T09:19:27.8469903Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T09:19:27.8471058Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T09:19:27.8472184Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T09:19:27.8473267Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T09:19:27.8474405Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T09:19:27.8475508Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T09:19:27.8476626Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T09:19:27.8477929Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T09:19:27.8482500Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T09:19:27.8483668Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T09:19:27.8485097Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T09:19:27.8486296Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T09:19:27.8487248Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T09:19:27.8488259Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T09:19:27.8489202Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T09:19:27.8490165Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T09:19:27.8491136Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T09:19:27.8492101Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T09:19:27.8493094Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T09:19:27.8494127Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T09:19:27.8494928Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T09:19:27.8495926Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T09:19:27.8496871Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T09:19:27.8498253Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T09:19:27.8499211Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T09:19:27.8500236Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T09:19:27.8501198Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T09:19:27.8502091Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T09:19:27.8503103Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T09:19:27.8504054Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T09:19:27.8505054Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T09:19:27.8506015Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T09:19:27.8507098Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T09:19:27.8508031Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T09:19:27.8509046Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T09:19:27.8509976Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T09:19:27.8511093Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T09:19:27.8512263Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T09:19:27.8513556Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T09:19:27.9246455Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T09:19:27.9268799Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:27.9272352Z ##[endgroup]
2025-12-04T09:19:27.9272810Z ##[group]Determining the checkout info
2025-12-04T09:19:27.9273316Z ##[endgroup]
2025-12-04T09:19:27.9276964Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T09:19:27.9305837Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T09:19:27.9327945Z ##[group]Checking out the ref
2025-12-04T09:19:27.9331198Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:28.9740741Z Updating files:  81% (16365/20121)
2025-12-04T09:19:28.9948903Z Updating files:  82% (16500/20121)
2025-12-04T09:19:29.0099596Z Updating files:  83% (16701/20121)
2025-12-04T09:19:29.0235103Z Updating files:  84% (16902/20121)
2025-12-04T09:19:29.0394393Z Updating files:  85% (17103/20121)
2025-12-04T09:19:29.0549720Z Updating files:  86% (17305/20121)
2025-12-04T09:19:29.0689649Z Updating files:  87% (17506/20121)
2025-12-04T09:19:29.0798738Z Updating files:  88% (17707/20121)
2025-12-04T09:19:29.0931327Z Updating files:  89% (17908/20121)
2025-12-04T09:19:29.1099338Z Updating files:  90% (18109/20121)
2025-12-04T09:19:29.1211129Z Updating files:  91% (18311/20121)
2025-12-04T09:19:29.1360921Z Updating files:  92% (18512/20121)
2025-12-04T09:19:29.1541638Z Updating files:  93% (18713/20121)
2025-12-04T09:19:29.1741115Z Updating files:  94% (18914/20121)
2025-12-04T09:19:29.1910094Z Updating files:  95% (19115/20121)
2025-12-04T09:19:29.2064540Z Updating files:  96% (19317/20121)
2025-12-04T09:19:29.2225307Z Updating files:  97% (19518/20121)
2025-12-04T09:19:29.2502974Z Updating files:  98% (19719/20121)
2025-12-04T09:19:29.2673647Z Updating files:  99% (19920/20121)
2025-12-04T09:19:29.2674000Z Updating files: 100% (20121/20121)
2025-12-04T09:19:29.2674306Z Updating files: 100% (20121/20121), done.
2025-12-04T09:19:29.2948318Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T09:19:29.2948685Z 
2025-12-04T09:19:29.2948911Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T09:19:29.2949492Z changes and commit them, and you can discard any commits you make in this
2025-12-04T09:19:29.2950055Z state without impacting any branches by switching back to a branch.
2025-12-04T09:19:29.2950399Z 
2025-12-04T09:19:29.2950612Z If you want to create a new branch to retain commits you create, you may
2025-12-04T09:19:29.2951137Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T09:19:29.2951661Z 
2025-12-04T09:19:29.2951793Z   git switch -c <new-branch-name>
2025-12-04T09:19:29.2952046Z 
2025-12-04T09:19:29.2952166Z Or undo this operation with:
2025-12-04T09:19:29.2952366Z 
2025-12-04T09:19:29.2952460Z   git switch -
2025-12-04T09:19:29.2952596Z 
2025-12-04T09:19:29.2952852Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T09:19:29.2953215Z 
2025-12-04T09:19:29.2953505Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T09:19:29.3023066Z ##[endgroup]
2025-12-04T09:19:29.3023509Z ##[group]Setting up auth for fetching submodules
2025-12-04T09:19:29.3029333Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:19:29.3072923Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T09:19:29.3098060Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T09:19:29.3123121Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T09:19:29.3144359Z ##[endgroup]
2025-12-04T09:19:29.3144778Z ##[group]Fetching submodules
2025-12-04T09:19:29.3148393Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T09:19:29.3459950Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T09:19:29.3756799Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T09:19:29.3758385Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T09:19:29.3760577Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T09:19:29.3763388Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T09:19:29.3766034Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T09:19:29.3769293Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T09:19:29.3771975Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T09:19:29.3775163Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T09:19:29.3779204Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T09:19:29.3782070Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T09:19:29.3785353Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T09:19:29.3788979Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T09:19:29.3792434Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T09:19:29.3795977Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T09:19:29.3799873Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T09:19:29.3804698Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T09:19:29.3810284Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T09:19:29.3814344Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T09:19:29.3819063Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:19:29.3822652Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T09:19:29.3828212Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T09:19:29.3832344Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T09:19:29.3837064Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T09:19:29.3841570Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T09:19:29.3846473Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T09:19:29.3851166Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T09:19:29.3856002Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T09:19:29.3860939Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T09:19:29.3866101Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T09:19:29.3871049Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T09:19:29.3876420Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T09:19:29.3882510Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T09:19:29.3888117Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T09:19:29.3894961Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T09:19:29.3900787Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T09:19:29.3906461Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T09:19:29.3912515Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T09:19:29.3945104Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T09:19:29.6206123Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T09:19:29.6207318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T09:19:29.6239334Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T09:19:33.2577485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T09:19:33.2579116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T09:19:33.2581182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T09:19:33.2582581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T09:19:33.2584078Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T09:19:33.2585698Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T09:19:33.2587465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T09:19:33.2588978Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T09:19:33.2590445Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T09:19:33.2592168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T09:19:33.2593598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T09:19:33.2595111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T09:19:33.2596675Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T09:19:33.2598166Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T09:19:33.2599399Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T09:19:33.2600878Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T09:19:33.2602373Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T09:19:33.2603958Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T09:19:33.2605431Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T09:19:33.2607275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T09:19:33.3579438Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T09:19:51.2050680Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T09:19:51.2052204Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T09:19:51.2053692Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T09:19:51.2054655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T09:19:51.2055413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T09:19:51.2056807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T09:19:51.2058199Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T09:19:51.2059710Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T09:19:51.2061266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T09:19:51.3051835Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T09:19:55.2881625Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T09:19:55.2882717Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T09:19:55.3043792Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T09:19:55.3170761Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T09:19:55.3267924Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T09:19:55.3519228Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T09:19:55.4351181Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T09:19:55.4918160Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T09:19:56.2299103Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T09:19:56.4198514Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T09:19:56.4220027Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:19:56.4247829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T09:20:01.3736609Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T09:20:01.3998867Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T09:20:01.7679282Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:01.8200479Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T09:20:01.9197129Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T09:20:01.9697583Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T09:20:02.6326528Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T09:20:02.7957401Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T09:20:02.7981008Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T09:20:02.7982899Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:20:02.7985521Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:20:02.7988437Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T09:20:02.7991403Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T09:20:02.7994441Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:20:02.7997546Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T09:20:02.8028890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T09:20:04.1116869Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T09:20:04.1117824Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T09:20:04.1118767Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T09:20:04.2117955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T09:20:07.5231889Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T09:20:07.6232897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T09:20:10.3128117Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T09:20:10.6870335Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:10.7903588Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T09:20:11.4412447Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T09:20:11.4899208Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:11.5025275Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T09:20:11.6078619Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T09:20:11.6801536Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T09:20:11.6822006Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:20:11.6823612Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:20:11.6852218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T09:20:16.2202668Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T09:20:16.4737210Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T09:20:17.0569061Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T09:20:17.2027419Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T09:20:17.2339210Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T09:20:17.2761583Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T09:20:17.3038513Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T09:20:17.3514676Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:17.3657812Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T09:20:17.3675817Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T09:20:17.3702231Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T09:20:33.3686038Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T09:20:33.3908548Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T09:20:33.5873335Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T09:20:33.5893909Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:20:33.5896421Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:20:33.5898726Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:20:33.5928396Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T09:20:34.5637742Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T09:20:35.1697473Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T09:20:35.2672754Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T09:20:35.2691898Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:20:35.2694415Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:20:35.2697134Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:20:35.2700087Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:20:35.2702805Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:20:35.2705983Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:20:35.2709136Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:20:35.2712342Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:20:35.2715819Z 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'
2025-12-04T09:20:35.2746819Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T09:20:37.1346997Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T09:20:37.1349462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T09:20:37.1351967Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T09:20:37.1354279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T09:20:37.1356540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T09:20:37.1358909Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T09:20:37.1361273Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T09:20:37.2348604Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T09:20:43.9664755Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T09:20:43.9866181Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T09:20:44.0262360Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T09:20:44.0419068Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T09:20:44.0438121Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:20:44.0466547Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T09:20:44.3078173Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T09:20:44.3278452Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T09:20:44.3757160Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:44.4798835Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T09:20:44.4982576Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T09:20:44.5163461Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T09:20:44.5180646Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:20:44.5183289Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:20:44.5211705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:20:46.7493998Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:20:47.0084955Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T09:20:47.0573043Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:20:47.0910925Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T09:20:47.1383089Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:47.1931275Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T09:20:47.2342925Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T09:20:47.3391146Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T09:20:47.7615392Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T09:20:47.7654212Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T09:20:47.7681588Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T09:20:48.5979996Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T09:20:48.6713984Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T09:20:48.6734665Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:20:48.6737208Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:20:48.6739808Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:20:48.6742687Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:20:48.6745651Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:20:48.6748503Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:20:48.6751530Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:20:48.6754542Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:20:48.6784797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T09:20:49.0771644Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T09:20:49.0772845Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T09:20:49.0773978Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T09:20:49.0775055Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T09:20:49.1772599Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T09:20:49.7912018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T09:20:56.5003793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T09:20:57.2554070Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T09:20:57.2981277Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T09:20:57.3161374Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T09:20:57.4219913Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T09:20:57.4364365Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T09:20:57.4524525Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T09:20:57.4697562Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T09:20:57.4714419Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:20:57.4716848Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:20:57.4745784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:20:59.4849666Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:20:59.7414315Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T09:20:59.7896946Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:21:00.2885278Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T09:21:00.3016572Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T09:21:00.5799351Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T09:21:00.5822794Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:00.5825431Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:00.5852734Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T09:21:01.0827935Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T09:21:01.5263437Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T09:21:01.6008665Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T09:21:01.6108198Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T09:21:01.6235273Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T09:21:01.6680131Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T09:21:01.6981385Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T09:21:01.7431821Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T09:21:01.7716939Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T09:21:01.7736214Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:01.7738499Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:01.7741159Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:01.7744002Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:01.7773575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T09:21:02.9284258Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T09:21:02.9285300Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-12-04T09:21:02.9286283Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-12-04T09:21:02.9880033Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-12-04T09:21:03.0049516Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-12-04T09:21:03.0811514Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
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2025-12-04T09:21:03.6803403Z ##[endgroup]
2025-12-04T09:21:03.6803870Z ##[group]Persisting credentials for submodules
2025-12-04T09:21:03.6810769Z [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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2025-12-04T09:21:04.1526240Z Entering 'third_party/pybind11'
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2025-12-04T09:21:04.1698348Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:04.1754065Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:04.1808540Z Entering 'third_party/tensorpipe/third_party/libnop'
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2025-12-04T09:21:04.1920402Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:04.1974150Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:04.2050206Z [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"
2025-12-04T09:21:04.2357624Z Entering 'android/libs/fbjni'
2025-12-04T09:21:04.2411965Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T09:21:04.2429351Z Entering 'third_party/FP16'
2025-12-04T09:21:04.2483200Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
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2025-12-04T09:21:04.2554035Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2025-12-04T09:21:04.2851068Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
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2025-12-04T09:21:04.3012961Z 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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2025-12-04T09:21:04.3093868Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T09:21:04.3111909Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:04.3164865Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
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2025-12-04T09:21:04.3245580Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
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2025-12-04T09:21:04.3460370Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
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2025-12-04T09:21:04.3542944Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
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2025-12-04T09:21:04.3690403Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
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2025-12-04T09:21:04.6403471Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T09:21:04.6550035Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T09:21:04.6619219Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T09:21:04.6688864Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
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2025-12-04T09:21:04.6827880Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
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2025-12-04T09:21:04.7103387Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-12-04T09:21:04.7121419Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:04.7174292Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-12-04T09:21:04.7211110Z Entering 'third_party/pocketfft'
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2025-12-04T09:21:04.7409403Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T09:21:04.7425247Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:04.7479734Z 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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2025-12-04T09:21:04.7552999Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-12-04T09:21:04.7570312Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:04.7623653Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
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2025-12-04T09:21:04.7693597Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T09:21:04.8056545Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
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2025-12-04T09:21:04.8123771Z 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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2025-12-04T09:21:04.8194528Z 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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2025-12-04T09:21:04.8262187Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-12-04T09:21:04.8865066Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-12-04T09:21:05.0454910Z Entering 'third_party/fmt'
2025-12-04T09:21:05.0497985Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:05.0540449Z Entering 'third_party/gloo'
2025-12-04T09:21:05.0585495Z Entering 'third_party/googletest'
2025-12-04T09:21:05.0628597Z Entering 'third_party/ideep'
2025-12-04T09:21:05.0670103Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:05.0720338Z Entering 'third_party/ittapi'
2025-12-04T09:21:05.0763874Z Entering 'third_party/kineto'
2025-12-04T09:21:05.0805903Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:05.0848788Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:05.0892753Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:05.0934661Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:05.0976198Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:05.1018201Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:05.1060999Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:05.1103751Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:05.1146189Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:05.1188575Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:05.1230199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:05.1276894Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:05.1322264Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:05.1368985Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:05.1411604Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:05.1454100Z Entering 'third_party/kleidiai'
2025-12-04T09:21:05.1498986Z Entering 'third_party/mimalloc'
2025-12-04T09:21:05.1544244Z Entering 'third_party/nlohmann'
2025-12-04T09:21:05.1589263Z Entering 'third_party/onnx'
2025-12-04T09:21:05.1649696Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:05.1697465Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:05.1742717Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:05.1785657Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:05.1827745Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:05.1872497Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:05.1916836Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:05.1959257Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:05.2003442Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:05.2046276Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:05.2091751Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:05.2136518Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-12-04T09:21:05.2512684Z Entering 'third_party/python-peachpy'
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2025-12-04T09:21:05.2690305Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:05.2733187Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:05.2776529Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:05.2817514Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:05.2877954Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T09:21:05.3203602Z Entering 'android/libs/fbjni'
2025-12-04T09:21:05.3250890Z Entering 'third_party/FP16'
2025-12-04T09:21:05.3295512Z Entering 'third_party/FXdiv'
2025-12-04T09:21:05.3340831Z Entering 'third_party/NNPACK'
2025-12-04T09:21:05.3384623Z Entering 'third_party/NVTX'
2025-12-04T09:21:05.3430161Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:05.3475578Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:05.3537626Z Entering 'third_party/aiter'
2025-12-04T09:21:05.3584971Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:05.3635669Z Entering 'third_party/benchmark'
2025-12-04T09:21:05.3679874Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:05.3733976Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:05.3779287Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:05.3824595Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:05.3867476Z Entering 'third_party/cutlass'
2025-12-04T09:21:05.3921938Z Entering 'third_party/fbgemm'
2025-12-04T09:21:05.3969458Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:05.4013164Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:05.4063349Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:05.4106219Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:05.4158675Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:05.4200982Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:05.4242727Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:05.4290434Z Entering 'third_party/flash-attention'
2025-12-04T09:21:05.4335381Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:05.4385819Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:05.4438847Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:05.4487622Z Entering 'third_party/fmt'
2025-12-04T09:21:05.4531951Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:05.4574828Z Entering 'third_party/gloo'
2025-12-04T09:21:05.4618697Z Entering 'third_party/googletest'
2025-12-04T09:21:05.4661611Z Entering 'third_party/ideep'
2025-12-04T09:21:05.4702842Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:05.4756035Z Entering 'third_party/ittapi'
2025-12-04T09:21:05.4804760Z Entering 'third_party/kineto'
2025-12-04T09:21:05.4849528Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:05.4893215Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:05.4937659Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:05.4981434Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:05.5023693Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:05.5065786Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:05.5109710Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:05.5152574Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:05.5196177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:05.5241279Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:05.5285348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:05.5327995Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:05.5372546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:05.5420708Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:05.5463538Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:05.5507725Z Entering 'third_party/kleidiai'
2025-12-04T09:21:05.5552898Z Entering 'third_party/mimalloc'
2025-12-04T09:21:05.5597196Z Entering 'third_party/nlohmann'
2025-12-04T09:21:05.5644067Z Entering 'third_party/onnx'
2025-12-04T09:21:05.5708932Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:05.5754136Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:05.5800532Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:05.5843789Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:05.5886841Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:05.5928329Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:05.5971614Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:05.6013153Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:05.6054258Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:05.6095401Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:05.6139598Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:05.6183214Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:05.6246981Z Entering 'third_party/pocketfft'
2025-12-04T09:21:05.6292729Z Entering 'third_party/protobuf'
2025-12-04T09:21:05.6337476Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:05.6377511Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:05.6420043Z Entering 'third_party/psimd'
2025-12-04T09:21:05.6463121Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:05.6506227Z Entering 'third_party/pybind11'
2025-12-04T09:21:05.6548510Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:05.6590842Z Entering 'third_party/sleef'
2025-12-04T09:21:05.6633006Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:05.6675907Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:05.6716082Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:05.6757081Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:05.6798128Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:05.6837921Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:05.6894271Z ##[endgroup]
2025-12-04T09:21:05.6932392Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T09:21:05.6955845Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:05.7065466Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:05.7065851Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:05.7066163Z # Clean stale submodule dirs
2025-12-04T09:21:05.7066497Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:21:05.7066904Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:05.7067295Z else
2025-12-04T09:21:05.7067622Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:05.7068002Z fi
2025-12-04T09:21:05.7075384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:05.7075787Z env:
2025-12-04T09:21:05.7076012Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:05.7076272Z   NO_SUDO: true
2025-12-04T09:21:05.7076505Z ##[endgroup]
2025-12-04T09:21:05.7414566Z Entering 'android/libs/fbjni'
2025-12-04T09:21:05.7449904Z Entering 'third_party/FP16'
2025-12-04T09:21:05.7483263Z Entering 'third_party/FXdiv'
2025-12-04T09:21:05.7514051Z Entering 'third_party/NNPACK'
2025-12-04T09:21:05.7550555Z Entering 'third_party/NVTX'
2025-12-04T09:21:05.7589834Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:05.7626003Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:05.7752337Z Entering 'third_party/aiter'
2025-12-04T09:21:05.7797092Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:05.7910366Z Entering 'third_party/benchmark'
2025-12-04T09:21:05.7945902Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:05.8070591Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:05.8107171Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:05.8146220Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:05.8181747Z Entering 'third_party/cutlass'
2025-12-04T09:21:05.8291270Z Entering 'third_party/fbgemm'
2025-12-04T09:21:05.8356679Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:05.8391436Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:05.8516901Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:05.8555150Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:05.8660704Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:05.8695109Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:05.8724801Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:05.8786247Z Entering 'third_party/flash-attention'
2025-12-04T09:21:05.8813082Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:05.8915368Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:05.9007847Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:05.9082538Z Entering 'third_party/fmt'
2025-12-04T09:21:05.9117247Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:05.9153491Z Entering 'third_party/gloo'
2025-12-04T09:21:05.9189386Z Entering 'third_party/googletest'
2025-12-04T09:21:05.9225356Z Entering 'third_party/ideep'
2025-12-04T09:21:05.9255511Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:05.9342628Z Entering 'third_party/ittapi'
2025-12-04T09:21:05.9378196Z Entering 'third_party/kineto'
2025-12-04T09:21:05.9414920Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:05.9453454Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:05.9498808Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:05.9530514Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:05.9563565Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:05.9593018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:05.9624248Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:05.9658666Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:05.9692075Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:05.9732442Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:05.9763161Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:05.9795106Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:05.9843796Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:05.9881172Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:05.9913040Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:05.9948872Z Entering 'third_party/kleidiai'
2025-12-04T09:21:05.9991012Z Entering 'third_party/mimalloc'
2025-12-04T09:21:06.0025370Z Entering 'third_party/nlohmann'
2025-12-04T09:21:06.0071396Z Entering 'third_party/onnx'
2025-12-04T09:21:06.0410442Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:06.0448837Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:06.0510452Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:06.0542107Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:06.0577746Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:06.0608504Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:06.0651336Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:06.0684138Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:06.0715606Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:06.0747608Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:06.0795843Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:06.0833532Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:06.1100828Z Entering 'third_party/pocketfft'
2025-12-04T09:21:06.1133082Z Entering 'third_party/protobuf'
2025-12-04T09:21:06.1210462Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:06.1240576Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:06.1276999Z Entering 'third_party/psimd'
2025-12-04T09:21:06.1307418Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:06.1340216Z Entering 'third_party/pybind11'
2025-12-04T09:21:06.1375286Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:06.1407784Z Entering 'third_party/sleef'
2025-12-04T09:21:06.1443491Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:06.1479205Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:06.1512211Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:06.1542753Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:06.1580477Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:06.1610566Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:06.1772568Z Prepare all required actions
2025-12-04T09:21:06.1773209Z Getting action download info
2025-12-04T09:21:06.3405040Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T09:21:06.3405498Z env:
2025-12-04T09:21:06.3405756Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:06.3406179Z ##[endgroup]
2025-12-04T09:21:06.3452967Z ##[group]Run set -euo pipefail
2025-12-04T09:21:06.3453444Z set -euo pipefail
2025-12-04T09:21:06.3453903Z function get_ec2_metadata() {
2025-12-04T09:21:06.3454350Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T09:21:06.3455111Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T09:21:06.3455834Z   category=$1
2025-12-04T09:21:06.3456301Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T09:21:06.3456806Z   runner_name_str=i-043608d803c94131d
2025-12-04T09:21:06.3457222Z   if [[ -f /.inarc ]]; then
2025-12-04T09:21:06.3457588Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T09:21:06.3457981Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T09:21:06.3458471Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T09:21:06.3458925Z   else
2025-12-04T09:21:06.3459842Z     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}"
2025-12-04T09:21:06.3460782Z   fi
2025-12-04T09:21:06.3461010Z }
2025-12-04T09:21:06.3461287Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T09:21:06.3461718Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T09:21:06.3462219Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T09:21:06.3462657Z echo "system info $(uname -a)"
2025-12-04T09:21:06.3469860Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:06.3470242Z env:
2025-12-04T09:21:06.3470476Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:06.3470750Z ##[endgroup]
2025-12-04T09:21:06.3625541Z ami-id: ami-08982f1c5bf93d976
2025-12-04T09:21:06.3737927Z instance-id: i-043608d803c94131d
2025-12-04T09:21:06.3852398Z instance-type: c5.4xlarge
2025-12-04T09:21:06.3863636Z system info Linux ip-10-0-36-232.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T09:21:06.3893692Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:06.3894193Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:06.3900454Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:06.3900851Z env:
2025-12-04T09:21:06.3901068Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:06.3901341Z ##[endgroup]
2025-12-04T09:21:06.3944623Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:06.3945605Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:06.3951741Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:06.3952135Z env:
2025-12-04T09:21:06.3952349Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:06.3952619Z ##[endgroup]
2025-12-04T09:21:06.4004848Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T09:21:06.4005335Z if systemctl is-active --quiet docker; then
2025-12-04T09:21:06.4005731Z     echo "Docker daemon is running...";
2025-12-04T09:21:06.4006078Z else
2025-12-04T09:21:06.4006451Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T09:21:06.4006888Z fi
2025-12-04T09:21:06.4012719Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:06.4013137Z env:
2025-12-04T09:21:06.4013359Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:06.4013636Z ##[endgroup]
2025-12-04T09:21:06.4095650Z Docker daemon is running...
2025-12-04T09:21:06.4136878Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:21:06.4137193Z with:
2025-12-04T09:21:06.4137423Z   shell: bash
2025-12-04T09:21:06.4137663Z   timeout_minutes: 5
2025-12-04T09:21:06.4137918Z   max_attempts: 3
2025-12-04T09:21:06.4138151Z   retry_wait_seconds: 30
2025-12-04T09:21:06.4140581Z   command: AWS_ACCOUNT_ID=$(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

2025-12-04T09:21:06.4143030Z   polling_interval_seconds: 1
2025-12-04T09:21:06.4143333Z   warning_on_retry: true
2025-12-04T09:21:06.4143611Z   continue_on_error: false
2025-12-04T09:21:06.4143875Z env:
2025-12-04T09:21:06.4144091Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:06.4144375Z   AWS_RETRY_MODE: standard
2025-12-04T09:21:06.4144630Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T09:21:06.4144897Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:21:06.4145180Z ##[endgroup]
2025-12-04T09:21:07.6358806Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:07.6359894Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:07.6360866Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:07.6361604Z 
2025-12-04T09:21:07.6361778Z Login Succeeded
2025-12-04T09:21:08.5150538Z Command completed after 1 attempt(s).
2025-12-04T09:21:08.5198556Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:08.5199102Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:08.5199582Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:08.5208421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:08.5208809Z env:
2025-12-04T09:21:08.5209040Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:08.5209310Z ##[endgroup]
2025-12-04T09:21:08.5289778Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:08.5290383Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:08.5290837Z # shellcheck disable=SC2046
2025-12-04T09:21:08.5291189Z docker stop $(docker ps -q) || true
2025-12-04T09:21:08.5291550Z # Prune all of the docker images
2025-12-04T09:21:08.5291894Z docker system prune -af
2025-12-04T09:21:08.5298206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:08.5298602Z env:
2025-12-04T09:21:08.5298816Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:08.5299087Z ##[endgroup]
2025-12-04T09:21:08.5765917Z "docker stop" requires at least 1 argument.
2025-12-04T09:21:08.5766373Z See 'docker stop --help'.
2025-12-04T09:21:08.5766553Z 
2025-12-04T09:21:08.5766730Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T09:21:08.5767008Z 
2025-12-04T09:21:08.5767121Z Stop one or more running containers
2025-12-04T09:21:08.6147418Z Total reclaimed space: 0B
2025-12-04T09:21:08.6326992Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T09:21:08.6327505Z with:
2025-12-04T09:21:08.6328346Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6329280Z   use-custom-docker-registry: true
2025-12-04T09:21:08.6329611Z   docker-build-dir: .ci/docker
2025-12-04T09:21:08.6329920Z   docker-build-script: ./build.sh
2025-12-04T09:21:08.6330235Z   working-directory: .
2025-12-04T09:21:08.6330584Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:08.6331003Z   force-push: false
2025-12-04T09:21:08.6331263Z env:
2025-12-04T09:21:08.6331470Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:08.6331736Z ##[endgroup]
2025-12-04T09:21:08.6351476Z ##[group]Run set -ex
2025-12-04T09:21:08.6351798Z set -ex
2025-12-04T09:21:08.6352034Z 
2025-12-04T09:21:08.6352485Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T09:21:08.6353184Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T09:21:08.6353777Z # job could then download the pre-built image as usual
2025-12-04T09:21:08.6354494Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T09:21:08.6355159Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6355499Z else
2025-12-04T09:21:08.6355765Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6356239Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6356648Z 
2025-12-04T09:21:08.6357227Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T09:21:08.6357901Z   exit 0
2025-12-04T09:21:08.6358118Z fi
2025-12-04T09:21:08.6358333Z 
2025-12-04T09:21:08.6358679Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T09:21:08.6359309Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T09:21:08.6359847Z   # use it as it is, but first let's extract the tag
2025-12-04T09:21:08.6360346Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T09:21:08.6360874Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6361381Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6361925Z else
2025-12-04T09:21:08.6362316Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T09:21:08.6362723Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T09:21:08.6363127Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T09:21:08.6363483Z   fi
2025-12-04T09:21:08.6363956Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T09:21:08.6364598Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6365253Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6365983Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6366430Z fi
2025-12-04T09:21:08.6372557Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:08.6372956Z env:
2025-12-04T09:21:08.6373181Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:08.6373447Z   REPO_NAME: pytorch
2025-12-04T09:21:08.6374422Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6375353Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:08.6375652Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T09:21:08.6376034Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:08.6376458Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T09:21:08.6376762Z   CUSTOM_TAG_PREFIX: 
2025-12-04T09:21:08.6377006Z ##[endgroup]
2025-12-04T09:21:08.6403049Z + [[ -d .ci/docker ]]
2025-12-04T09:21:08.6403335Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T09:21:08.6403642Z + [[ true == \t\r\u\e ]]
2025-12-04T09:21:08.6403908Z + echo skip=false
2025-12-04T09:21:08.6405028Z + [[ 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* ]]
2025-12-04T09:21:08.6410271Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6411146Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T09:21:08.6508560Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6509533Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6510903Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6536279Z ##[group]Run set +e
2025-12-04T09:21:08.6536607Z set +e
2025-12-04T09:21:08.6536872Z set -x
2025-12-04T09:21:08.6537106Z 
2025-12-04T09:21:08.6537310Z login() {
2025-12-04T09:21:08.6537812Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:08.6538363Z }
2025-12-04T09:21:08.6538596Z 
2025-12-04T09:21:08.6538802Z retry () {
2025-12-04T09:21:08.6539084Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:08.6539411Z }
2025-12-04T09:21:08.6539608Z 
2025-12-04T09:21:08.6539845Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:08.6540160Z 
2025-12-04T09:21:08.6540370Z START_TIME=$(date +%s)
2025-12-04T09:21:08.6540672Z # Wait up to 120 minutes
2025-12-04T09:21:08.6541045Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T09:21:08.6541543Z   # Check if image already exists, if it does then skip building it
2025-12-04T09:21:08.6542214Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T09:21:08.6542591Z     exit 0
2025-12-04T09:21:08.6542832Z   fi
2025-12-04T09:21:08.6543038Z 
2025-12-04T09:21:08.6543442Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T09:21:08.6544139Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T09:21:08.6544822Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T09:21:08.6545365Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T09:21:08.6545783Z     # It's a Docker build job, let's build the image
2025-12-04T09:21:08.6546141Z     break
2025-12-04T09:21:08.6546369Z   else
2025-12-04T09:21:08.6546718Z     # It's a regular build job, wait for the image to become available
2025-12-04T09:21:08.6547146Z     sleep 300
2025-12-04T09:21:08.6547392Z   fi
2025-12-04T09:21:08.6547614Z done
2025-12-04T09:21:08.6547835Z 
2025-12-04T09:21:08.6548195Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T09:21:08.6548891Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T09:21:08.6549435Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T09:21:08.6549907Z   # if we're on the base branch then use the parent commit
2025-12-04T09:21:08.6550313Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T09:21:08.6550644Z else
2025-12-04T09:21:08.6550985Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T09:21:08.6551482Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T09:21:08.6551847Z fi
2025-12-04T09:21:08.6552064Z 
2025-12-04T09:21:08.6552300Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T09:21:08.6552662Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6553001Z 
2025-12-04T09:21:08.6553483Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T09:21:08.6554046Z   exit 0
2025-12-04T09:21:08.6554279Z fi
2025-12-04T09:21:08.6554497Z 
2025-12-04T09:21:08.6554809Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T09:21:08.6555504Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T09:21:08.6556118Z   exit 1
2025-12-04T09:21:08.6556350Z fi
2025-12-04T09:21:08.6556553Z 
2025-12-04T09:21:08.6556930Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T09:21:08.6557616Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T09:21:08.6558237Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T09:21:08.6558941Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T09:21:08.6559746Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T09:21:08.6560221Z fi
2025-12-04T09:21:08.6560436Z 
2025-12-04T09:21:08.6560690Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:08.6567538Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:08.6567931Z env:
2025-12-04T09:21:08.6568144Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:08.6568428Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:08.6568784Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:08.6569736Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6571034Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:08.6571749Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:08.6572159Z   DOCKER_PUSH: 
2025-12-04T09:21:08.6572381Z ##[endgroup]
2025-12-04T09:21:08.6598830Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:08.6599307Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:08.6601372Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:08.6602964Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:09.2047008Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:09.2047726Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:09.2048532Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:09.2049000Z 
2025-12-04T09:21:09.2049095Z Login Succeeded
2025-12-04T09:21:09.2064207Z ++ date +%s
2025-12-04T09:21:09.2074026Z + START_TIME=1764840069
2025-12-04T09:21:09.2077269Z ++ date +%s
2025-12-04T09:21:09.2087089Z + [[ 1764832869 -lt 1764840069 ]]
2025-12-04T09:21:09.2088113Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:09.4354310Z {
2025-12-04T09:21:09.4354741Z 	"schemaVersion": 2,
2025-12-04T09:21:09.4355416Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-12-04T09:21:09.4355925Z 	"config": {
2025-12-04T09:21:09.4356525Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-12-04T09:21:09.4357169Z 		"size": 34864,
2025-12-04T09:21:09.4357732Z 		"digest": "sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301"
2025-12-04T09:21:09.4358509Z 	},
2025-12-04T09:21:09.4358852Z 	"layers": [
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2025-12-04T09:21:09.4363504Z 		},
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2025-12-04T09:21:09.4365401Z 		},
2025-12-04T09:21:09.4365602Z 		{
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2025-12-04T09:21:09.4367279Z 		},
2025-12-04T09:21:09.4367473Z 		{
2025-12-04T09:21:09.4367789Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4368370Z 			"size": 106,
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2025-12-04T09:21:09.4369870Z 		},
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2025-12-04T09:21:09.4372295Z 		},
2025-12-04T09:21:09.4372494Z 		{
2025-12-04T09:21:09.4373034Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4373472Z 			"size": 1216,
2025-12-04T09:21:09.4373908Z 			"digest": "sha256:9c5027aeeb4e3101f48c1d2e400c387110e1009e42497ee801f1b4b7f7edb5c0"
2025-12-04T09:21:09.4374392Z 		},
2025-12-04T09:21:09.4374603Z 		{
2025-12-04T09:21:09.4374943Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4375369Z 			"size": 483,
2025-12-04T09:21:09.4375794Z 			"digest": "sha256:9a56521103600bd37a1e7c1191b5136c2d738c092f8a6701499f7068a32c2628"
2025-12-04T09:21:09.4376281Z 		},
2025-12-04T09:21:09.4376480Z 		{
2025-12-04T09:21:09.4376799Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4377238Z 			"size": 110361875,
2025-12-04T09:21:09.4377880Z 			"digest": "sha256:375c4427e9141269458333b1463fdb219e736fd6231ec1c56c625c48437ace77"
2025-12-04T09:21:09.4378365Z 		},
2025-12-04T09:21:09.4378571Z 		{
2025-12-04T09:21:09.4378891Z + exit 0
2025-12-04T09:21:09.4379249Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4379680Z 			"size": 4961,
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2025-12-04T09:21:09.4380616Z 		},
2025-12-04T09:21:09.4380957Z 		{
2025-12-04T09:21:09.4381308Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4381741Z 			"size": 1755,
2025-12-04T09:21:09.4382148Z 			"digest": "sha256:fb7848686804957915d98f8655ef6da0fe4c521b50a82aefdebf475983505a15"
2025-12-04T09:21:09.4382640Z 		},
2025-12-04T09:21:09.4382843Z 		{
2025-12-04T09:21:09.4383233Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4383669Z 			"size": 724,
2025-12-04T09:21:09.4384081Z 			"digest": "sha256:3541df015cdb7e8925273399d28e56c31b3c9196f00439ac2925537b173b1f84"
2025-12-04T09:21:09.4384560Z 		},
2025-12-04T09:21:09.4384752Z 		{
2025-12-04T09:21:09.4385095Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4385536Z 			"size": 543,
2025-12-04T09:21:09.4385939Z 			"digest": "sha256:79dc80f426b29d4ae9157b967050b03e66aa0c4b1295b944a1dd70106be87066"
2025-12-04T09:21:09.4386454Z 		},
2025-12-04T09:21:09.4386649Z 		{
2025-12-04T09:21:09.4386972Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4387408Z 			"size": 3185190117,
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2025-12-04T09:21:09.4388348Z 		},
2025-12-04T09:21:09.4388552Z 		{
2025-12-04T09:21:09.4388884Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4389303Z 			"size": 32,
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2025-12-04T09:21:09.4390223Z 		},
2025-12-04T09:21:09.4390419Z 		{
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2025-12-04T09:21:09.4391170Z 			"size": 396,
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2025-12-04T09:21:09.4392054Z 		},
2025-12-04T09:21:09.4392247Z 		{
2025-12-04T09:21:09.4392585Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4393006Z 			"size": 236860,
2025-12-04T09:21:09.4393424Z 			"digest": "sha256:5c63528cb580001e65104f4cb0809bf0673a00f989a7db42fd6d86aa1ec27cee"
2025-12-04T09:21:09.4393906Z 		},
2025-12-04T09:21:09.4394120Z 		{
2025-12-04T09:21:09.4394449Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-12-04T09:21:09.4395769Z 		},
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2025-12-04T09:21:09.4397769Z 		},
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2025-12-04T09:21:09.4399631Z 		},
2025-12-04T09:21:09.4399826Z 		{
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2025-12-04T09:21:09.4400571Z 			"size": 481,
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2025-12-04T09:21:09.4401471Z 		},
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2025-12-04T09:21:09.4402504Z 			"size": 202,
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2025-12-04T09:21:09.4403412Z 		},
2025-12-04T09:21:09.4403608Z 		{
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2025-12-04T09:21:09.4405376Z 		},
2025-12-04T09:21:09.4405573Z 		{
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2025-12-04T09:21:09.4407264Z 		},
2025-12-04T09:21:09.4407464Z 		{
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2025-12-04T09:21:09.4409109Z 		},
2025-12-04T09:21:09.4409299Z 		{
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2025-12-04T09:21:09.4410967Z 		},
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2025-12-04T09:21:09.4412837Z 		},
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2025-12-04T09:21:09.4414693Z 		},
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2025-12-04T09:21:09.4416561Z 		},
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2025-12-04T09:21:09.4418415Z 		},
2025-12-04T09:21:09.4418599Z 		{
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2025-12-04T09:21:09.4419354Z 			"size": 346,
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2025-12-04T09:21:09.4420233Z 		},
2025-12-04T09:21:09.4420518Z 		{
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2025-12-04T09:21:09.4422164Z 		},
2025-12-04T09:21:09.4422360Z 		{
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2025-12-04T09:21:09.4423104Z 			"size": 106,
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2025-12-04T09:21:09.4424016Z 		},
2025-12-04T09:21:09.4424212Z 		{
2025-12-04T09:21:09.4424539Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4424969Z 			"size": 424,
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2025-12-04T09:21:09.4425878Z 		},
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2025-12-04T09:21:09.4547877Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4548307Z 			"size": 8071,
2025-12-04T09:21:09.4548727Z 			"digest": "sha256:6ae51eb61a325b2c2995a5088c81aa20821b75be65b5aa722c7c40556b5d03ea"
2025-12-04T09:21:09.4549203Z 		},
2025-12-04T09:21:09.4549397Z 		{
2025-12-04T09:21:09.4549730Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4550158Z 			"size": 304,
2025-12-04T09:21:09.4550569Z 			"digest": "sha256:1fd5341e66dfc0c1ae23af014641a92a6fd02640c528fe6d4dc55921ed659a26"
2025-12-04T09:21:09.4551061Z 		},
2025-12-04T09:21:09.4551258Z 		{
2025-12-04T09:21:09.4551574Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4552003Z 			"size": 13364291,
2025-12-04T09:21:09.4552440Z 			"digest": "sha256:72a7c87e35e40ab796f90aee1b51add7902f0cdc44406d2505b6c6a1f55a8da6"
2025-12-04T09:21:09.4552913Z 		},
2025-12-04T09:21:09.4553104Z 		{
2025-12-04T09:21:09.4553521Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4553939Z 			"size": 108,
2025-12-04T09:21:09.4554376Z 			"digest": "sha256:ec36862ac98ebaac52ee1a8b1d162d45bd0e3bf59ae7e19c8f80ad3960b4c600"
2025-12-04T09:21:09.4554876Z 		},
2025-12-04T09:21:09.4555060Z 		{
2025-12-04T09:21:09.4555389Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4555817Z 			"size": 54145699,
2025-12-04T09:21:09.4556252Z 			"digest": "sha256:05ddbf246e8add0e293474dbf88bb028d5a295a25ac59e8648a18db644377773"
2025-12-04T09:21:09.4556728Z 		},
2025-12-04T09:21:09.4556918Z 		{
2025-12-04T09:21:09.4557248Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:09.4557659Z 			"size": 32,
2025-12-04T09:21:09.4558075Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T09:21:09.4558558Z 		}
2025-12-04T09:21:09.4558738Z 	]
2025-12-04T09:21:09.4558930Z }
2025-12-04T09:21:09.4586920Z ##[group]Run set -eux
2025-12-04T09:21:09.4587228Z set -eux
2025-12-04T09:21:09.4587646Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T09:21:09.4588990Z 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
2025-12-04T09:21:09.4596840Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:09.4597230Z env:
2025-12-04T09:21:09.4597465Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:09.4597736Z ##[endgroup]
2025-12-04T09:21:09.4626512Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T09:21:09.4627254Z + jq --raw-output .SecretString
2025-12-04T09:21:09.4628310Z + jq -r .docker_hub_readonly_token
2025-12-04T09:21:09.4629329Z + docker login --username pytorchbot --password-stdin
2025-12-04T09:21:10.0599926Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:10.0600590Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:10.0601267Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:10.0601911Z 
2025-12-04T09:21:10.0602105Z Login Succeeded
2025-12-04T09:21:10.0687139Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:10.0687533Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:10.0687944Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T09:21:10.0694019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:10.0694408Z env:
2025-12-04T09:21:10.0694637Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:10.0695513Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:10.0696404Z ##[endgroup]
2025-12-04T09:21:10.0723207Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:10.0768376Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T09:21:10.0768826Z with:
2025-12-04T09:21:10.0769640Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:10.0770656Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:10.0771062Z env:
2025-12-04T09:21:10.0771274Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:10.0771549Z ##[endgroup]
2025-12-04T09:21:10.0786859Z ##[group]Run set -x
2025-12-04T09:21:10.0787142Z set -x
2025-12-04T09:21:10.0787361Z set +e
2025-12-04T09:21:10.0787593Z 
2025-12-04T09:21:10.0787812Z login() {
2025-12-04T09:21:10.0788292Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:10.0788974Z }
2025-12-04T09:21:10.0789188Z 
2025-12-04T09:21:10.0789444Z retry () {
2025-12-04T09:21:10.0789714Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:10.0790044Z }
2025-12-04T09:21:10.0790263Z 
2025-12-04T09:21:10.0790503Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:10.0790809Z 
2025-12-04T09:21:10.0791343Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T09:21:10.0792043Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T09:21:10.0792421Z 
2025-12-04T09:21:10.0792634Z set -e
2025-12-04T09:21:10.0792983Z # ignore output since only exit code is used for conditional
2025-12-04T09:21:10.0793490Z # only pull docker image if it's not available locally
2025-12-04T09:21:10.0794041Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T09:21:10.0794578Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T09:21:10.0794909Z fi
2025-12-04T09:21:10.0800645Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:10.0801034Z env:
2025-12-04T09:21:10.0801256Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:10.0802221Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:10.0803210Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:10.0803617Z ##[endgroup]
2025-12-04T09:21:10.0827119Z + set +e
2025-12-04T09:21:10.0827762Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:10.0828251Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:10.0831186Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:10.0831905Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:10.6426004Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:10.6426661Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:10.6427367Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:10.6427874Z 
2025-12-04T09:21:10.6427974Z Login Succeeded
2025-12-04T09:21:10.6445609Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:10.6446628Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T09:21:10.8788362Z + IMAGE_SIZE=15091.581844329834
2025-12-04T09:21:10.8788997Z Compressed size of image in MB: 15091.581844329834
2025-12-04T09:21:10.8789706Z + echo 'Compressed size of image in MB: 15091.581844329834'
2025-12-04T09:21:10.8790403Z + set -e
2025-12-04T09:21:10.8791692Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:10.8929596Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:10.8931129Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:11.1071415Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T09:21:11.1073930Z 63e5bc7682b8: Pulling fs layer
2025-12-04T09:21:11.1074296Z 0678d56345c9: Pulling fs layer
2025-12-04T09:21:11.1075054Z 45f5c9ddfce7: Pulling fs layer
2025-12-04T09:21:11.1075491Z 086b1df51ac1: Pulling fs layer
2025-12-04T09:21:11.1075851Z fe8a7b64bf98: Pulling fs layer
2025-12-04T09:21:11.1076497Z 7680723e9a57: Pulling fs layer
2025-12-04T09:21:11.1076918Z 9c5027aeeb4e: Pulling fs layer
2025-12-04T09:21:11.1077336Z 9a5652110360: Pulling fs layer
2025-12-04T09:21:11.1077973Z 375c4427e914: Pulling fs layer
2025-12-04T09:21:11.1078440Z a86faaa7dbdd: Pulling fs layer
2025-12-04T09:21:11.1078929Z fb7848686804: Pulling fs layer
2025-12-04T09:21:11.1079361Z 3541df015cdb: Pulling fs layer
2025-12-04T09:21:11.1080234Z 79dc80f426b2: Pulling fs layer
2025-12-04T09:21:11.1080745Z fe8a7b64bf98: Waiting
2025-12-04T09:21:11.1081210Z a13fcc1b90bb: Pulling fs layer
2025-12-04T09:21:11.1081704Z 7680723e9a57: Waiting
2025-12-04T09:21:11.1082219Z 4f4fb700ef54: Pulling fs layer
2025-12-04T09:21:11.1082700Z 9c5027aeeb4e: Waiting
2025-12-04T09:21:11.1083139Z 9a5652110360: Waiting
2025-12-04T09:21:11.1083557Z 549db4d6c618: Pulling fs layer
2025-12-04T09:21:11.1084035Z 5c63528cb580: Pulling fs layer
2025-12-04T09:21:11.1084584Z 75bd83b989a4: Pulling fs layer
2025-12-04T09:21:11.1084975Z de6e78970f51: Pulling fs layer
2025-12-04T09:21:11.1085266Z e13ed7c7e473: Pulling fs layer
2025-12-04T09:21:11.1085563Z 6e2949bcb741: Pulling fs layer
2025-12-04T09:21:11.1085844Z 086b1df51ac1: Waiting
2025-12-04T09:21:11.1086080Z a86faaa7dbdd: Waiting
2025-12-04T09:21:11.1086337Z 14d69d9aaec7: Pulling fs layer
2025-12-04T09:21:11.1086632Z 5c02769dd8e5: Pulling fs layer
2025-12-04T09:21:11.1086903Z 35041ce524ac: Pulling fs layer
2025-12-04T09:21:11.1087190Z 2fa92dc5885e: Pulling fs layer
2025-12-04T09:21:11.1087464Z e13ed7c7e473: Waiting
2025-12-04T09:21:11.1087702Z fb7848686804: Waiting
2025-12-04T09:21:11.1087926Z 5c63528cb580: Waiting
2025-12-04T09:21:11.1088161Z 375c4427e914: Waiting
2025-12-04T09:21:11.1088400Z 3541df015cdb: Waiting
2025-12-04T09:21:11.1088666Z 549db4d6c618: Waiting
2025-12-04T09:21:11.1088907Z 79dc80f426b2: Waiting
2025-12-04T09:21:11.1089149Z de6e78970f51: Waiting
2025-12-04T09:21:11.1089380Z a13fcc1b90bb: Waiting
2025-12-04T09:21:11.1089636Z 2b85eafbd92a: Pulling fs layer
2025-12-04T09:21:11.1089924Z 4f4fb700ef54: Waiting
2025-12-04T09:21:11.1090167Z ff755a4ddad7: Pulling fs layer
2025-12-04T09:21:11.1090463Z 09eb41bdf42d: Pulling fs layer
2025-12-04T09:21:11.1090754Z 11ede4d59e93: Pulling fs layer
2025-12-04T09:21:11.1091018Z 35041ce524ac: Waiting
2025-12-04T09:21:11.1091262Z 2fa92dc5885e: Waiting
2025-12-04T09:21:11.1091504Z 2b85eafbd92a: Waiting
2025-12-04T09:21:11.1091738Z ff755a4ddad7: Waiting
2025-12-04T09:21:11.1091994Z 1283cd8f801a: Pulling fs layer
2025-12-04T09:21:11.1092270Z 09eb41bdf42d: Waiting
2025-12-04T09:21:11.1092512Z 024fa855425f: Pulling fs layer
2025-12-04T09:21:11.1092786Z 1283cd8f801a: Waiting
2025-12-04T09:21:11.1093035Z 303e6747a62e: Pulling fs layer
2025-12-04T09:21:11.1093312Z 024fa855425f: Waiting
2025-12-04T09:21:11.1093550Z 3017cdf4838b: Pulling fs layer
2025-12-04T09:21:11.1093826Z 6e2949bcb741: Waiting
2025-12-04T09:21:11.1094072Z 6b6cd1c358e8: Pulling fs layer
2025-12-04T09:21:11.1094365Z 303e6747a62e: Waiting
2025-12-04T09:21:11.1094611Z 14d69d9aaec7: Waiting
2025-12-04T09:21:11.1094862Z b2dd04501124: Pulling fs layer
2025-12-04T09:21:11.1095143Z 3017cdf4838b: Waiting
2025-12-04T09:21:11.1095617Z 55adc51fe589: Pulling fs layer
2025-12-04T09:21:11.1095893Z 6b6cd1c358e8: Waiting
2025-12-04T09:21:11.1096178Z b2dd04501124: Waiting
2025-12-04T09:21:11.1096440Z a43ca0e4b837: Pulling fs layer
2025-12-04T09:21:11.1096722Z 5c02769dd8e5: Waiting
2025-12-04T09:21:11.1096966Z b7212f17fd14: Pulling fs layer
2025-12-04T09:21:11.1097259Z 083e42cac090: Pulling fs layer
2025-12-04T09:21:11.1097550Z 083e42cac090: Waiting
2025-12-04T09:21:11.1097795Z 0a00b784a4aa: Pulling fs layer
2025-12-04T09:21:11.1098079Z b7212f17fd14: Waiting
2025-12-04T09:21:11.1098336Z c6173c779f7b: Pulling fs layer
2025-12-04T09:21:11.1098627Z ed3d1e3387b9: Pulling fs layer
2025-12-04T09:21:11.1098896Z 55adc51fe589: Waiting
2025-12-04T09:21:11.1099141Z c6173c779f7b: Waiting
2025-12-04T09:21:11.1099393Z b29343478586: Pulling fs layer
2025-12-04T09:21:11.1099652Z ed3d1e3387b9: Waiting
2025-12-04T09:21:11.1101059Z c6f0520487fb: Pulling fs layer
2025-12-04T09:21:11.1101338Z 0a00b784a4aa: Waiting
2025-12-04T09:21:11.1101588Z 148171691cd4: Pulling fs layer
2025-12-04T09:21:11.1101860Z b29343478586: Waiting
2025-12-04T09:21:11.1102107Z 2c666d30ed77: Pulling fs layer
2025-12-04T09:21:11.1102366Z 148171691cd4: Waiting
2025-12-04T09:21:11.1102614Z 5d8d3a0a98e0: Pulling fs layer
2025-12-04T09:21:11.1102904Z b06bafce9e81: Pulling fs layer
2025-12-04T09:21:11.1103168Z 2c666d30ed77: Waiting
2025-12-04T09:21:11.1103409Z 5d8d3a0a98e0: Waiting
2025-12-04T09:21:11.1103663Z 15e0d7e4590d: Pulling fs layer
2025-12-04T09:21:11.1103939Z a514bd1add31: Pulling fs layer
2025-12-04T09:21:11.1104214Z 15e0d7e4590d: Waiting
2025-12-04T09:21:11.1104465Z 57b84ee60002: Pulling fs layer
2025-12-04T09:21:11.1104728Z a514bd1add31: Waiting
2025-12-04T09:21:11.1104974Z b06bafce9e81: Waiting
2025-12-04T09:21:11.1105218Z 57b84ee60002: Waiting
2025-12-04T09:21:11.1105472Z b8babeff6d81: Pulling fs layer
2025-12-04T09:21:11.1105751Z 83779ddf6a85: Pulling fs layer
2025-12-04T09:21:11.1106033Z b8babeff6d81: Waiting
2025-12-04T09:21:11.1106286Z 8b7620c0d736: Pulling fs layer
2025-12-04T09:21:11.1106567Z 3bcfa090e4ef: Pulling fs layer
2025-12-04T09:21:11.1106855Z eb0504ec4d92: Pulling fs layer
2025-12-04T09:21:11.1107135Z 3bcfa090e4ef: Waiting
2025-12-04T09:21:11.1107364Z 8b7620c0d736: Waiting
2025-12-04T09:21:11.1107617Z 15d0fec09d7b: Pulling fs layer
2025-12-04T09:21:11.1107894Z eb0504ec4d92: Waiting
2025-12-04T09:21:11.1108140Z cca81fcc62a9: Pulling fs layer
2025-12-04T09:21:11.1108419Z 15d0fec09d7b: Waiting
2025-12-04T09:21:11.1108665Z cca81fcc62a9: Waiting
2025-12-04T09:21:11.1108910Z b0b8f9b5c6ab: Pulling fs layer
2025-12-04T09:21:11.1109198Z 0606ca4d47a8: Pulling fs layer
2025-12-04T09:21:11.1109485Z 2f80a4e1b3b9: Pulling fs layer
2025-12-04T09:21:11.1109747Z 0606ca4d47a8: Waiting
2025-12-04T09:21:11.1109990Z b0b8f9b5c6ab: Waiting
2025-12-04T09:21:11.1110245Z 35c916fb1bd0: Pulling fs layer
2025-12-04T09:21:11.1110518Z 195537b7dafc: Pulling fs layer
2025-12-04T09:21:11.1110809Z dc454fd3967e: Pulling fs layer
2025-12-04T09:21:11.1111095Z 701b34f115fa: Pulling fs layer
2025-12-04T09:21:11.1111386Z 39cefc00ffed: Pulling fs layer
2025-12-04T09:21:11.1111652Z 35c916fb1bd0: Waiting
2025-12-04T09:21:11.1111905Z 6ae51eb61a32: Pulling fs layer
2025-12-04T09:21:11.1112181Z 701b34f115fa: Waiting
2025-12-04T09:21:11.1112410Z dc454fd3967e: Waiting
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2025-12-04T09:27:26.8218939Z Digest: sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97
2025-12-04T09:27:26.8614944Z 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
2025-12-04T09:27:26.8794865Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:26.8882190Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:26.8883230Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:26.8891996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:26.8892429Z env:
2025-12-04T09:27:26.8892644Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:26.8892948Z ##[endgroup]
2025-12-04T09:27:26.9133673Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T09:27:26.9134121Z with:
2025-12-04T09:27:26.9134350Z   driver-version: 580.82.07
2025-12-04T09:27:26.9134608Z env:
2025-12-04T09:27:26.9134830Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:26.9135149Z ##[endgroup]
2025-12-04T09:27:26.9218964Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:26.9220099Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:26.9226306Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:26.9226698Z env:
2025-12-04T09:27:26.9226916Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:26.9227175Z ##[endgroup]
2025-12-04T09:27:26.9306733Z ##[group]Run set -euo pipefail
2025-12-04T09:27:26.9307073Z set -euo pipefail
2025-12-04T09:27:26.9307405Z 
2025-12-04T09:27:26.9307613Z has_gpu=false
2025-12-04T09:27:26.9307871Z devices=""
2025-12-04T09:27:26.9308110Z 
2025-12-04T09:27:26.9308381Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T09:27:26.9308853Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:26.9309255Z     has_gpu=true
2025-12-04T09:27:26.9309570Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:26.9309890Z   fi
2025-12-04T09:27:26.9310109Z fi
2025-12-04T09:27:26.9310322Z 
2025-12-04T09:27:26.9310542Z if [ "$has_gpu" = false ]; then
2025-12-04T09:27:26.9310947Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:26.9311344Z     has_gpu=true
2025-12-04T09:27:26.9311636Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:26.9311970Z   fi
2025-12-04T09:27:26.9312192Z fi
2025-12-04T09:27:26.9312399Z 
2025-12-04T09:27:26.9312716Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T09:27:26.9313249Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:27:26.9313683Z     has_gpu=true
2025-12-04T09:27:26.9313976Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:27:26.9314307Z   fi
2025-12-04T09:27:26.9314521Z fi
2025-12-04T09:27:26.9314722Z 
2025-12-04T09:27:26.9315032Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:26.9315591Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T09:27:26.9321630Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:26.9322166Z env:
2025-12-04T09:27:26.9322396Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:26.9322656Z ##[endgroup]
2025-12-04T09:27:27.0279848Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:27:27.0280271Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:27:27.0280665Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T09:27:27.0281208Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T09:27:27.0281689Z else
2025-12-04T09:27:27.0282031Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T09:27:27.0282412Z fi
2025-12-04T09:27:27.0288270Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:27.0288648Z env:
2025-12-04T09:27:27.0288878Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:27.0289155Z   HAS_NVIDIA: false
2025-12-04T09:27:27.0289386Z ##[endgroup]
2025-12-04T09:27:27.0415428Z Prepare all required actions
2025-12-04T09:27:27.0486821Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T09:27:27.0487179Z with:
2025-12-04T09:27:27.0487784Z   github-token: ***
2025-12-04T09:27:27.0488020Z env:
2025-12-04T09:27:27.0488224Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:27.0488497Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:27.0488752Z ##[endgroup]
2025-12-04T09:27:27.0579918Z ##[group]Run set -eux
2025-12-04T09:27:27.0580182Z set -eux
2025-12-04T09:27:27.0580638Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:27:27.0586567Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:27.0587088Z env:
2025-12-04T09:27:27.0587307Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:27.0587583Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:27.0588023Z   GITHUB_TOKEN: ***
2025-12-04T09:27:27.0588251Z ##[endgroup]
2025-12-04T09:27:27.0612288Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-043608d803c94131d
2025-12-04T09:27:28.9857886Z Setting output job-id=57118431063
2025-12-04T09:27:28.9858616Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:29.0021736Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:27:29.0022620Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:27:29.0023638Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T09:27:29.0024563Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:27:29.0031370Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:29.0031766Z env:
2025-12-04T09:27:29.0031995Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:29.0032263Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:29.0032525Z   JOB_ID: 57118431063
2025-12-04T09:27:29.0033043Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:29.0033641Z   WORKFLOW_NAME: periodic
2025-12-04T09:27:29.0033960Z   WORKFLOW_RUN_ID: 19922826259
2025-12-04T09:27:29.0034232Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T09:27:29.0034516Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T09:27:29.0034821Z ##[endgroup]
2025-12-04T09:27:30.7726745Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:27:31.2332784Z Collecting psutil==5.9.8
2025-12-04T09:27:31.2491696Z   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)
2025-12-04T09:27:31.3730036Z Collecting dataclasses_json==0.6.7
2025-12-04T09:27:31.3760060Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T09:27:31.4298267Z Collecting nvidia-ml-py==11.525.84
2025-12-04T09:27:31.4326809Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T09:27:31.5697568Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T09:27:31.5724985Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T09:27:31.6386344Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T09:27:31.6413243Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T09:27:31.7432159Z Collecting packaging>=17.0
2025-12-04T09:27:31.7461353Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T09:27:31.8146071Z Collecting mypy-extensions>=0.3.0
2025-12-04T09:27:31.8174668Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T09:27:31.9045563Z Collecting typing-extensions>=3.7.4
2025-12-04T09:27:31.9076576Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T09:27:32.0886589Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T09:27:32.5590473Z 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
2025-12-04T09:27:32.7666418Z Prepare all required actions
2025-12-04T09:27:32.7666845Z Getting action download info
2025-12-04T09:27:32.9505909Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:27:33.6274620Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T09:27:33.9145298Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T09:27:33.9145833Z with:
2025-12-04T09:27:33.9146087Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:27:33.9146425Z   s3-bucket: gha-artifacts
2025-12-04T09:27:33.9146675Z env:
2025-12-04T09:27:33.9146894Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:33.9147162Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:33.9147414Z ##[endgroup]
2025-12-04T09:27:33.9234728Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:27:33.9235086Z with:
2025-12-04T09:27:33.9235334Z   name: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:27:33.9235720Z   s3-bucket: gha-artifacts
2025-12-04T09:27:33.9235995Z   region: us-east-1
2025-12-04T09:27:33.9236218Z env:
2025-12-04T09:27:33.9236440Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:33.9236718Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:33.9236959Z ##[endgroup]
2025-12-04T09:27:34.5779869Z (node:44709) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:27:34.5780472Z 
2025-12-04T09:27:34.5780665Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:27:34.5781251Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:27:34.5781836Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:27:35.2773445Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.8-py3.10-gcc11/
2025-12-04T09:27:35.2774257Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:27:42.9168835Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:27:42.9174640Z Artifact download has finished successfully
2025-12-04T09:27:42.9396512Z ##[group]Run unzip -o artifacts.zip
2025-12-04T09:27:42.9396864Z unzip -o artifacts.zip
2025-12-04T09:27:42.9403289Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:42.9403681Z env:
2025-12-04T09:27:42.9403904Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:42.9404189Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:42.9404444Z ##[endgroup]
2025-12-04T09:27:42.9811295Z Archive:  artifacts.zip
2025-12-04T09:27:42.9917302Z    creating: dist/
2025-12-04T09:27:44.8979110Z   inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl  
2025-12-04T09:27:44.9103221Z   inflating: dist/.ninja_log         
2025-12-04T09:27:44.9104050Z    creating: build/custom_test_artifacts/
2025-12-04T09:27:44.9104525Z    creating: build/custom_test_artifacts/custom-op-build/
2025-12-04T09:27:44.9105065Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2025-12-04T09:27:44.9105684Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/
2025-12-04T09:27:44.9112658Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-12-04T09:27:44.9113367Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/
2025-12-04T09:27:44.9114068Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake  
2025-12-04T09:27:44.9114835Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/
2025-12-04T09:27:44.9115548Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/
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2025-12-04T09:27:44.9120508Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/
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2025-12-04T09:27:44.9242727Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/CMakeCUDACompilerId.module_id  
2025-12-04T09:27:44.9302376Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/CMakeCUDACompilerId.cpp1.ii  
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2025-12-04T09:27:44.9313043Z  extracting: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCUDA/tmp/a_dlink.reg.c  
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2025-12-04T09:27:44.9460994Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/
2025-12-04T09:27:44.9461631Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeTmp/
2025-12-04T09:27:44.9462513Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache  
2025-12-04T09:27:44.9463216Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/
2025-12-04T09:27:44.9463987Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts  
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2025-12-04T09:27:44.9468190Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/build.make  
2025-12-04T09:27:44.9469094Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake  
2025-12-04T09:27:44.9469924Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make  
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2025-12-04T09:27:44.9676491Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/test_custom_ops.dir/
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2025-12-04T09:27:53.3497072Z   inflating: build/bin/parallel_benchmark  
2025-12-04T09:27:53.3500653Z   inflating: build/bin/torch_shm_manager  
2025-12-04T09:27:53.3501005Z    creating: .additional_ci_files/
2025-12-04T09:27:53.3562863Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T09:27:53.3789212Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T09:27:53.3839748Z ##[group]Run rm artifacts.zip
2025-12-04T09:27:53.3840093Z rm artifacts.zip
2025-12-04T09:27:53.3848152Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:53.3848716Z env:
2025-12-04T09:27:53.3848945Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:53.3849212Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:53.3849471Z ##[endgroup]
2025-12-04T09:27:53.4480054Z ##[group]Run df -H
2025-12-04T09:27:53.4480300Z df -H
2025-12-04T09:27:53.4485803Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:53.4486346Z env:
2025-12-04T09:27:53.4486563Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:53.4486844Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:53.4487104Z ##[endgroup]
2025-12-04T09:27:53.4593513Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T09:27:53.4593919Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T09:27:53.4594269Z tmpfs              17G     0   17G   0% /dev/shm
2025-12-04T09:27:53.4594616Z tmpfs             6.6G  521k  6.6G   1% /run
2025-12-04T09:27:53.4595104Z /dev/nvme0n1p1    161G   52G  110G  32% /
2025-12-04T09:27:53.4595573Z tmpfs              17G   13k   17G   1% /tmp
2025-12-04T09:27:53.4595936Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T09:27:53.4640545Z Prepare all required actions
2025-12-04T09:27:53.4641327Z Getting action download info
2025-12-04T09:27:53.6663601Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T09:27:53.6663979Z with:
2025-12-04T09:27:53.6664197Z env:
2025-12-04T09:27:53.6664407Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:53.6664686Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:53.6664941Z ##[endgroup]
2025-12-04T09:27:53.6727269Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:27:53.6727626Z with:
2025-12-04T09:27:53.6727830Z   name: td_results
2025-12-04T09:27:53.6728083Z   s3-bucket: gha-artifacts
2025-12-04T09:27:53.6728356Z   region: us-east-1
2025-12-04T09:27:53.6728575Z env:
2025-12-04T09:27:53.6728789Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:53.6729078Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:53.6729336Z ##[endgroup]
2025-12-04T09:27:54.3600328Z (node:44729) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:27:54.3601007Z 
2025-12-04T09:27:54.3601203Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:27:54.3601822Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:27:54.3602413Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:27:54.4679761Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/
2025-12-04T09:27:54.4680491Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:27:54.5291649Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:27:54.5296597Z Artifact download has finished successfully
2025-12-04T09:27:54.5486155Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T09:27:54.5486554Z mkdir -p .additional_ci_files
2025-12-04T09:27:54.5487010Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T09:27:54.5493610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:54.5493991Z env:
2025-12-04T09:27:54.5494214Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:54.5494490Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:54.5494736Z ##[endgroup]
2025-12-04T09:27:54.5700838Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T09:27:54.5701240Z .github/scripts/parse_ref.py
2025-12-04T09:27:54.5706667Z shell: /usr/bin/bash -e {0}
2025-12-04T09:27:54.5706948Z env:
2025-12-04T09:27:54.5707167Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:54.5707442Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:54.5707681Z ##[endgroup]
2025-12-04T09:27:54.6083478Z Setting output branch=main
2025-12-04T09:27:54.6261934Z Prepare all required actions
2025-12-04T09:27:54.6262332Z Getting action download info
2025-12-04T09:27:54.7867595Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T09:27:54.7868199Z with:
2025-12-04T09:27:54.7868851Z   github-token: ***
2025-12-04T09:27:54.7883373Z   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"}]}
2025-12-04T09:27:54.7898545Z   job-name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:54.7899607Z env:
2025-12-04T09:27:54.7899985Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:54.7900464Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:54.7900886Z ##[endgroup]
2025-12-04T09:27:54.7975894Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:27:54.7976363Z with:
2025-12-04T09:27:54.7976686Z   shell: bash
2025-12-04T09:27:54.7977070Z   timeout_minutes: 10
2025-12-04T09:27:54.7977482Z   max_attempts: 5
2025-12-04T09:27:54.7978055Z   retry_wait_seconds: 30
2025-12-04T09:27:54.7979474Z   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

2025-12-04T09:27:54.7981030Z   polling_interval_seconds: 1
2025-12-04T09:27:54.7981493Z   warning_on_retry: true
2025-12-04T09:27:54.7981940Z   continue_on_error: false
2025-12-04T09:27:54.7982371Z env:
2025-12-04T09:27:54.7982720Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:54.7983183Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:54.7983849Z   GITHUB_TOKEN: ***
2025-12-04T09:27:54.7984240Z ##[endgroup]
2025-12-04T09:27:54.9686140Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T09:27:55.2013027Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:27:55.5032907Z Collecting requests==2.27.1
2025-12-04T09:27:55.5193611Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T09:27:55.7057533Z Collecting pyyaml==6.0.2
2025-12-04T09:27:55.7118680Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T09:27:56.1534331Z Collecting charset-normalizer~=2.0.0
2025-12-04T09:27:56.1568879Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T09:27:56.2084383Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T09:27:56.2088313Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T09:27:56.2555698Z Collecting certifi>=2017.4.17
2025-12-04T09:27:56.2592188Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T09:27:56.3612731Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T09:27:56.6477438Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T09:27:56.9161091Z Command completed after 1 attempt(s).
2025-12-04T09:27:56.9207818Z ##[group]Run set -x
2025-12-04T09:27:56.9208219Z set -x
2025-12-04T09:27:56.9208445Z 
2025-12-04T09:27:56.9208842Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:27:56.9209334Z # in runner workspace
2025-12-04T09:27:56.9209731Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T09:27:56.9216037Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:56.9216430Z env:
2025-12-04T09:27:56.9216641Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:56.9216918Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:56.9217177Z ##[endgroup]
2025-12-04T09:27:56.9241394Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T09:27:56.9421539Z Setting output branch=main
2025-12-04T09:27:56.9490371Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:27:56.9490808Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:27:56.9491175Z echo "Job name: ${JOB_NAME}"
2025-12-04T09:27:56.9491476Z 
2025-12-04T09:27:56.9491853Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:27:56.9492353Z # in runner workspace
2025-12-04T09:27:56.9492792Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T09:27:56.9493281Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T09:27:56.9493671Z   --job-name "${JOB_NAME}" \
2025-12-04T09:27:56.9501368Z   --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"}]}" \
2025-12-04T09:27:56.9509181Z   --selected-test-configs "" \
2025-12-04T09:27:56.9509561Z   --pr-number "${PR_NUMBER}" \
2025-12-04T09:27:56.9509900Z   --tag "${TAG}" \
2025-12-04T09:27:56.9510209Z   --event-name "${EVENT_NAME}" \
2025-12-04T09:27:56.9510645Z   --schedule "${SCHEDULE}" \
2025-12-04T09:27:56.9510969Z   --branch "${HEAD_BRANCH}"
2025-12-04T09:27:56.9516764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:56.9517143Z env:
2025-12-04T09:27:56.9517365Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:56.9517639Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:56.9518203Z   GITHUB_TOKEN: ***
2025-12-04T09:27:56.9518704Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:56.9519285Z   PR_NUMBER: 
2025-12-04T09:27:56.9519513Z   TAG: 
2025-12-04T09:27:56.9519715Z   EVENT_NAME: schedule
2025-12-04T09:27:56.9519971Z   SCHEDULE: 29 8 * * *
2025-12-04T09:27:56.9520217Z   HEAD_BRANCH: main
2025-12-04T09:27:56.9520442Z ##[endgroup]
2025-12-04T09:27:56.9544878Z Workflow: periodic
2025-12-04T09:27:56.9545753Z Job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:57.2367706Z Setting output keep-going=True
2025-12-04T09:27:57.2368243Z Setting output ci-verbose-test-logs=False
2025-12-04T09:27:57.2368606Z Setting output ci-test-showlocals=False
2025-12-04T09:27:57.2368946Z Setting output ci-no-test-timeout=False
2025-12-04T09:27:57.2369282Z Setting output ci-no-td=False
2025-12-04T09:27:57.2369597Z Setting output ci-td-distributed=False
2025-12-04T09:27:57.2369951Z Setting output is-unstable=False
2025-12-04T09:27:57.2370267Z Setting output reenabled-issues=
2025-12-04T09:27:57.2387827Z 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"}]}
2025-12-04T09:27:57.2405240Z Setting output is-test-matrix-empty=False
2025-12-04T09:27:57.2556207Z ##[group]Run echo "Filtered matrix:"
2025-12-04T09:27:57.2556627Z echo "Filtered matrix:"
2025-12-04T09:27:57.2573906Z 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"}]}"
2025-12-04T09:27:57.2591364Z 
2025-12-04T09:27:57.2591580Z echo
2025-12-04T09:27:57.2591857Z echo "Is the current job unstable? False"
2025-12-04T09:27:57.2592274Z 
2025-12-04T09:27:57.2592480Z echo
2025-12-04T09:27:57.2592740Z echo "Is keep-going label set? True"
2025-12-04T09:27:57.2593052Z 
2025-12-04T09:27:57.2593260Z echo
2025-12-04T09:27:57.2593505Z echo "Reenabled issues? "
2025-12-04T09:27:57.2599551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:57.2599950Z env:
2025-12-04T09:27:57.2600186Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:57.2600449Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:57.2600720Z ##[endgroup]
2025-12-04T09:27:57.2624381Z Filtered matrix:
2025-12-04T09:27:57.2645416Z {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}]}
2025-12-04T09:27:57.2662308Z 
2025-12-04T09:27:57.2662428Z Is the current job unstable? False
2025-12-04T09:27:57.2662649Z 
2025-12-04T09:27:57.2662758Z Is keep-going label set? True
2025-12-04T09:27:57.2662960Z 
2025-12-04T09:27:57.2663053Z Reenabled issues? 
2025-12-04T09:27:57.2735390Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:27:57.2735948Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:27:57.2741672Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:57.2742049Z env:
2025-12-04T09:27:57.2742273Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:57.2742547Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:57.2742789Z   JOB_TIMEOUT: 240
2025-12-04T09:27:57.2743024Z ##[endgroup]
2025-12-04T09:27:57.2803402Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:27:57.2803942Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:27:57.2804422Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:27:57.2809906Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:57.2810299Z env:
2025-12-04T09:27:57.2810523Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:57.2810784Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:57.2811036Z ##[endgroup]
2025-12-04T09:27:57.2936723Z ##[group]Run set -x
2025-12-04T09:27:57.2937073Z set -x
2025-12-04T09:27:57.2937306Z 
2025-12-04T09:27:57.2937567Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T09:27:57.2937960Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T09:27:57.2938369Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T09:27:57.2938744Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T09:27:57.2939046Z else
2025-12-04T09:27:57.2939305Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:27:57.2939642Z fi
2025-12-04T09:27:57.2939845Z 
2025-12-04T09:27:57.2940115Z # Leaving 1GB for the runner and other things
2025-12-04T09:27:57.2940724Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T09:27:57.2941639Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T09:27:57.2942384Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T09:27:57.2942937Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T09:27:57.2943377Z 
2025-12-04T09:27:57.2943633Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:27:57.2943994Z   SHM_OPTS=
2025-12-04T09:27:57.2944279Z   JENKINS_USER=
2025-12-04T09:27:57.2944629Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T09:27:57.2945129Z   # if for some reason cleanup action doesn't stop container
2025-12-04T09:27:57.2945678Z   # when job is cancelled
2025-12-04T09:27:57.2946002Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T09:27:57.2946337Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T09:27:57.2946704Z else
2025-12-04T09:27:57.2946962Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T09:27:57.2947305Z   JENKINS_USER="--user jenkins"
2025-12-04T09:27:57.2947630Z   DOCKER_SHELL_CMD=
2025-12-04T09:27:57.2947928Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T09:27:57.2948221Z fi
2025-12-04T09:27:57.2948434Z 
2025-12-04T09:27:57.2948780Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T09:27:57.2949336Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T09:27:57.2949965Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T09:27:57.2950527Z # shellcheck disable=SC2086,SC2090
2025-12-04T09:27:57.2950875Z container_name=$(docker run \
2025-12-04T09:27:57.2951183Z   ${GPU_FLAG:-} \
2025-12-04T09:27:57.2951492Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T09:27:57.2951852Z   -e BUILD_ENVIRONMENT \
2025-12-04T09:27:57.2952161Z   -e PR_NUMBER \
2025-12-04T09:27:57.2952434Z   -e GITHUB_ACTIONS \
2025-12-04T09:27:57.2952735Z   -e GITHUB_REPOSITORY \
2025-12-04T09:27:57.2953047Z   -e GITHUB_WORKFLOW \
2025-12-04T09:27:57.2953332Z   -e GITHUB_JOB \
2025-12-04T09:27:57.2953611Z   -e GITHUB_RUN_ID \
2025-12-04T09:27:57.2953900Z   -e GITHUB_RUN_NUMBER \
2025-12-04T09:27:57.2954194Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T09:27:57.2954500Z   -e JOB_ID \
2025-12-04T09:27:57.2954761Z   -e JOB_NAME \
2025-12-04T09:27:57.2955023Z   -e BASE_SHA \
2025-12-04T09:27:57.2955276Z   -e BRANCH \
2025-12-04T09:27:57.2955526Z   -e SHA1 \
2025-12-04T09:27:57.2955784Z   -e AWS_DEFAULT_REGION \
2025-12-04T09:27:57.2956078Z   -e IN_WHEEL_TEST \
2025-12-04T09:27:57.2956362Z   -e SHARD_NUMBER \
2025-12-04T09:27:57.2956645Z   -e TEST_CONFIG \
2025-12-04T09:27:57.2956917Z   -e NUM_TEST_SHARDS \
2025-12-04T09:27:57.2957327Z   -e REENABLED_ISSUES \
2025-12-04T09:27:57.2957650Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T09:27:57.2957965Z   -e VERBOSE_TEST_LOGS \
2025-12-04T09:27:57.2958277Z   -e TEST_SHOWLOCALS \
2025-12-04T09:27:57.2958579Z   -e NO_TEST_TIMEOUT \
2025-12-04T09:27:57.2958870Z   -e NO_TD \
2025-12-04T09:27:57.2959164Z   -e TD_DISTRIBUTED \
2025-12-04T09:27:57.2959454Z   -e PR_LABELS \
2025-12-04T09:27:57.2959756Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T09:27:57.2960102Z   -e SCCACHE_BUCKET \
2025-12-04T09:27:57.2960398Z   -e SCCACHE_REGION \
2025-12-04T09:27:57.2960682Z   -e XLA_CUDA \
2025-12-04T09:27:57.2960963Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T09:27:57.2961336Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T09:27:57.2961715Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T09:27:57.2962221Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T09:27:57.2962583Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T09:27:57.2962929Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T09:27:57.2963276Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T09:27:57.2963615Z   -e DASHBOARD_TAG \
2025-12-04T09:27:57.2963917Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T09:27:57.2964337Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T09:27:57.2964776Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T09:27:57.2965207Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:27:57.2965710Z   --security-opt seccomp=unconfined \
2025-12-04T09:27:57.2966059Z   --cap-add=SYS_PTRACE \
2025-12-04T09:27:57.2966371Z   --ipc=host \
2025-12-04T09:27:57.2966644Z   ${SHM_OPTS} \
2025-12-04T09:27:57.2966896Z   --tty \
2025-12-04T09:27:57.2967144Z   --detach \
2025-12-04T09:27:57.2967418Z   --name="${container_name}" \
2025-12-04T09:27:57.2967732Z   ${JENKINS_USER} \
2025-12-04T09:27:57.2968093Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T09:27:57.2968510Z   -w /var/lib/jenkins/workspace \
2025-12-04T09:27:57.2968834Z   "${USED_IMAGE}" \
2025-12-04T09:27:57.2969105Z   ${DOCKER_SHELL_CMD}
2025-12-04T09:27:57.2969379Z )
2025-12-04T09:27:57.2969720Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T09:27:57.2970134Z 
2025-12-04T09:27:57.2970406Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:27:57.2971011Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T09:27:57.2971551Z fi
2025-12-04T09:27:57.2971752Z 
2025-12-04T09:27:57.2972260Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T09:27:57.2978468Z shell: /usr/bin/bash -e {0}
2025-12-04T09:27:57.2978737Z env:
2025-12-04T09:27:57.2978960Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:57.2979239Z   HAS_NVIDIA_GPU: false
2025-12-04T09:27:57.2979556Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:27:57.2979929Z   PR_NUMBER: 
2025-12-04T09:27:57.2980180Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T09:27:57.2980488Z   GITHUB_WORKFLOW: periodic
2025-12-04T09:27:57.2980765Z   GITHUB_JOB: test
2025-12-04T09:27:57.2981008Z   GITHUB_RUN_ID: 19922826259
2025-12-04T09:27:57.2981294Z   GITHUB_RUN_NUMBER: 19107
2025-12-04T09:27:57.2981551Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T09:27:57.2981804Z   JOB_ID: 57118431063
2025-12-04T09:27:57.2982319Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:27:57.2982880Z   BRANCH: main
2025-12-04T09:27:57.2983151Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:57.2983690Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:57.2984053Z   TEST_CONFIG: nogpu_AVX512
2025-12-04T09:27:57.2984398Z   SHARD_NUMBER: 1
2025-12-04T09:27:57.2984639Z   NUM_TEST_SHARDS: 3
2025-12-04T09:27:57.2984882Z   EXTRA_FLAGS: 
2025-12-04T09:27:57.2985103Z   OP_BENCHMARK_TESTS: 
2025-12-04T09:27:57.2985357Z   REENABLED_ISSUES: 
2025-12-04T09:27:57.2985623Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T09:27:57.2985900Z   VERBOSE_TEST_LOGS: False
2025-12-04T09:27:57.2986172Z   TEST_SHOWLOCALS: False
2025-12-04T09:27:57.2986438Z   NO_TEST_TIMEOUT: False
2025-12-04T09:27:57.2986685Z   NO_TD: False
2025-12-04T09:27:57.2986916Z   TD_DISTRIBUTED: False
2025-12-04T09:27:57.2987366Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T09:27:57.2987730Z   SCCACHE_REGION: us-east-1
2025-12-04T09:27:57.2987999Z   SHM_SIZE: 1g
2025-12-04T09:27:57.2988818Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:57.2990313Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:57.2991203Z   XLA_CUDA: 
2025-12-04T09:27:57.2991573Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:27:57.2992046Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T09:27:57.2992377Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 1
2025-12-04T09:27:57.2992674Z   DASHBOARD_TAG: 
2025-12-04T09:27:57.2993132Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T09:27:57.2993664Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T09:27:57.2994088Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T09:27:57.2994505Z   ARTIFACTS_FILE_SUFFIX: test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T09:27:57.2994945Z ##[endgroup]
2025-12-04T09:27:57.3018228Z + [[ nogpu_AVX512 == \m\u\l\t\i\g\p\u ]]
2025-12-04T09:27:57.3018921Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *onnx* ]]
2025-12-04T09:27:57.3019302Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:27:57.3021542Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T09:27:57.3041461Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.641 '
2025-12-04T09:27:57.3042132Z + TOTAL_MEMORY_WITH_SWAP=32
2025-12-04T09:27:57.3042753Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-12-04T09:27:57.3043311Z + SHM_OPTS=--shm-size=1g
2025-12-04T09:27:57.3043579Z + JENKINS_USER='--user jenkins'
2025-12-04T09:27:57.3043868Z + DOCKER_SHELL_CMD=
2025-12-04T09:27:57.3044705Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:57.3050033Z +++ nproc --ignore=2
2025-12-04T09:27:57.3182983Z ++ 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
2025-12-04T09:28:18.6992587Z + container_name=d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T09:28:18.6993377Z + echo DOCKER_CONTAINER_ID=d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T09:28:18.6994434Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]]
2025-12-04T09:28:18.7000429Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T09:28:18.7005016Z + docker exec -t d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T09:28:19.2427904Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T09:28:20.0751763Z 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)
2025-12-04T09:28:20.0755630Z 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)
2025-12-04T09:28:20.0760062Z 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)
2025-12-04T09:28:20.0764960Z 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)
2025-12-04T09:28:20.0768556Z 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)
2025-12-04T09:28:20.0773151Z 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)
2025-12-04T09:28:20.0786638Z 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)
2025-12-04T09:28:20.1164360Z 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)
2025-12-04T09:28:20.1184362Z 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)
2025-12-04T09:28:20.1242586Z 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)
2025-12-04T09:28:20.4985789Z Installing collected packages: torch
2025-12-04T09:28:31.8789028Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T09:28:31.9958389Z + export TERM=vt100
2025-12-04T09:28:31.9958685Z + TERM=vt100
2025-12-04T09:28:31.9960266Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:28:32.0105594Z + source .ci/pytorch/common.sh
2025-12-04T09:28:32.0162626Z +++ dirname .ci/pytorch/common.sh
2025-12-04T09:28:32.0284202Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T09:28:32.0341292Z +++ declare -f -t trap_add
2025-12-04T09:28:32.0346477Z ++ set -ex -o pipefail
2025-12-04T09:28:32.0346800Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:32.0347159Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T09:28:32.0406431Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:28:32.0413042Z + source .ci/pytorch/common-build.sh
2025-12-04T09:28:32.0459253Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 != *win-* ]]
2025-12-04T09:28:32.0464798Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T09:28:32.0471604Z +++ cd .ci/pytorch
2025-12-04T09:28:32.0472400Z +++ pwd -P
2025-12-04T09:28:32.0474037Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T09:28:32.0474742Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-pch* ]]
2025-12-04T09:28:32.0475093Z ++ which sccache
2025-12-04T09:28:32.0642590Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T09:28:32.0642959Z ++ sccache --stop-server
2025-12-04T09:28:32.0901057Z ++ true
2025-12-04T09:28:32.0901330Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T09:28:32.0966214Z ++ trap_add sccache_epilogue EXIT
2025-12-04T09:28:32.0966554Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T09:28:32.0966847Z ++ shift
2025-12-04T09:28:32.0967075Z ++ for trap_add_name in "$@"
2025-12-04T09:28:32.0972668Z ++++ trap -p EXIT
2025-12-04T09:28:32.0975016Z +++ eval 'extract_trap_cmd '
2025-12-04T09:28:32.0975334Z ++++ extract_trap_cmd
2025-12-04T09:28:32.0975589Z ++++ printf '%s\n' ''
2025-12-04T09:28:32.0975843Z +++ printf '%s\n' sccache_epilogue
2025-12-04T09:28:32.0977491Z ++ trap -- '
2025-12-04T09:28:32.0977881Z sccache_epilogue' EXIT
2025-12-04T09:28:32.0978244Z ++ [[ -n 1 ]]
2025-12-04T09:28:32.0978662Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T09:28:32.0979286Z Skipping sccache server initialization, setting environment variables
2025-12-04T09:28:32.0979750Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:32.0980041Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:32.0980396Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:32.0980858Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:32.0986347Z ++ export RUST_LOG=sccache::server=error
2025-12-04T09:28:32.0986725Z ++ RUST_LOG=sccache::server=error
2025-12-04T09:28:32.0987228Z ++ sccache --zero-stats
2025-12-04T09:28:32.4623396Z Statistics zeroed.
2025-12-04T09:28:32.4627757Z ++ which ccache
2025-12-04T09:28:32.4695068Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T09:28:32.4695532Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *s390x* ]]
2025-12-04T09:28:32.4695921Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T09:28:32.4698458Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T09:28:32.4978757Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T09:28:32.4979190Z + trap_add cleanup_workspace EXIT
2025-12-04T09:28:32.4979516Z + trap_add_cmd=cleanup_workspace
2025-12-04T09:28:32.4979791Z + shift
2025-12-04T09:28:32.4980017Z + for trap_add_name in "$@"
2025-12-04T09:28:32.4985375Z +++ trap -p EXIT
2025-12-04T09:28:32.4987961Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T09:28:32.4988440Z sccache_epilogue'\'' EXIT'
2025-12-04T09:28:32.4988810Z +++ extract_trap_cmd trap -- '
2025-12-04T09:28:32.4989100Z sccache_epilogue' EXIT
2025-12-04T09:28:32.4989342Z +++ printf '%s\n' '
2025-12-04T09:28:32.4989591Z sccache_epilogue'
2025-12-04T09:28:32.4989907Z ++ printf '%s\n' cleanup_workspace
2025-12-04T09:28:32.4990463Z + trap -- '
2025-12-04T09:28:32.4990683Z sccache_epilogue
2025-12-04T09:28:32.4990927Z cleanup_workspace' EXIT
2025-12-04T09:28:32.4991230Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T09:28:33.3030762Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T09:28:33.3257153Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:33.3260132Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))'
2025-12-04T09:28:33.7323202Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:33.7323884Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']'
2025-12-04T09:28:33.7328792Z +++ realpath .ci/pytorch/test.sh
2025-12-04T09:28:33.7349991Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh
2025-12-04T09:28:33.7357576Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch
2025-12-04T09:28:33.7358260Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:33.7358849Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace
2025-12-04T09:28:33.7359322Z + patch -p4
2025-12-04T09:28:33.7401642Z patching file cudadrv/driver.py
2025-12-04T09:28:33.7402356Z Hunk #1 succeeded at 357 (offset -8 lines).
2025-12-04T09:28:33.7411494Z + popd
2025-12-04T09:28:33.7411717Z ~/workspace
2025-12-04T09:28:33.7412020Z + echo 'Environment variables:'
2025-12-04T09:28:33.7412309Z Environment variables:
2025-12-04T09:28:33.7412558Z + env
2025-12-04T09:28:33.7437646Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:28:33.7438332Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:28:33.7438832Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:33.7439467Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:28:33.7439753Z HOSTNAME=d161d4aa8b45
2025-12-04T09:28:33.7440381Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7441068Z GITHUB_ACTION=__run_3
2025-12-04T09:28:33.7441337Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:28:33.7441644Z GITHUB_RUN_NUMBER=19107
2025-12-04T09:28:33.7441961Z TEST_CONFIG=nogpu_AVX512
2025-12-04T09:28:33.7442250Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:28:33.7442587Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:28:33.7442938Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:33.7443407Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:28:33.7443713Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:28:33.7443993Z GITHUB_REF_TYPE=branch
2025-12-04T09:28:33.7444298Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7444646Z XLA_CUDA=
2025-12-04T09:28:33.7444887Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:28:33.7445290Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:28:33.7445749Z ***
2025-12-04T09:28:33.7446151Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:28:33.7446424Z GITHUB_ACTIONS=true
2025-12-04T09:28:33.7446726Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:33.7447131Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7447526Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7448075Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main
2025-12-04T09:28:33.7448578Z UCC_HOME=/usr
2025-12-04T09:28:33.7448812Z VERBOSE_TEST_LOGS=False
2025-12-04T09:28:33.7449066Z GITHUB_REF=refs/heads/main
2025-12-04T09:28:33.7449333Z SHARD_NUMBER=1
2025-12-04T09:28:33.7449574Z GITHUB_REF_PROTECTED=true
2025-12-04T09:28:33.7449829Z HOME=/var/lib/jenkins
2025-12-04T09:28:33.7450116Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:28:33.7450454Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:28:33.7450795Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:28:33.7451145Z USE_SYSTEM_NCCL=1
2025-12-04T09:28:33.7451384Z NUM_TEST_SHARDS=3
2025-12-04T09:28:33.7451600Z UCX_HOME=/usr
2025-12-04T09:28:33.7452183Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7453119Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:33.7454028Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7454854Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:28:33.7455379Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:28:33.7455646Z DASHBOARD_TAG=
2025-12-04T09:28:33.7455868Z GITHUB_RUN_ID=19922826259
2025-12-04T09:28:33.7456136Z INSTALLED_OPENBLAS=
2025-12-04T09:28:33.7456773Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7457482Z GITHUB_ACTOR=huydhn
2025-12-04T09:28:33.7457706Z PR_NUMBER=
2025-12-04T09:28:33.7457921Z DESIRED_CUDA=12.8.1
2025-12-04T09:28:33.7458157Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:28:33.7458403Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:28:33.7458742Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:28:33.7459099Z TERM=vt100
2025-12-04T09:28:33.7459304Z INSTALLED_VISION=yes
2025-12-04T09:28:33.7459625Z BRANCH=main
2025-12-04T09:28:33.7459856Z SCCACHE_REGION=us-east-1
2025-12-04T09:28:33.7460120Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:28:33.7460408Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:28:33.7460678Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:28:33.7461202Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:28:33.7461812Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:28:33.7462175Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:28:33.7462531Z REENABLED_ISSUES=
2025-12-04T09:28:33.7462751Z DOCS=
2025-12-04T09:28:33.7462956Z SHLVL=1
2025-12-04T09:28:33.7463158Z MAX_JOBS=14
2025-12-04T09:28:33.7463367Z GITHUB_ACTOR_ID=475357
2025-12-04T09:28:33.7463714Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7464116Z GITHUB_REF_NAME=main
2025-12-04T09:28:33.7464491Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:33.7464935Z GITHUB_JOB=test
2025-12-04T09:28:33.7465177Z NO_TEST_TIMEOUT=False
2025-12-04T09:28:33.7465417Z TD_DISTRIBUTED=False
2025-12-04T09:28:33.7465688Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:28:33.7465998Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:28:33.7466253Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:28:33.7466528Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:28:33.7467339Z 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
2025-12-04T09:28:33.7468181Z GITHUB_BASE_REF=
2025-12-04T09:28:33.7468405Z INSTALLED_ACL=
2025-12-04T09:28:33.7468833Z ARTIFACTS_FILE_SUFFIX=test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T09:28:33.7469263Z CI=true
2025-12-04T09:28:33.7469489Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:28:33.7469820Z RUST_LOG=sccache::server=error
2025-12-04T09:28:33.7470089Z JOB_ID=57118431063
2025-12-04T09:28:33.7470322Z GITHUB_HEAD_REF=
2025-12-04T09:28:33.7470558Z GITHUB_ACTION_REF=
2025-12-04T09:28:33.7470849Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:28:33.7471215Z TEST_SHOWLOCALS=False
2025-12-04T09:28:33.7471475Z GITHUB_WORKFLOW=periodic
2025-12-04T09:28:33.7471746Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:28:33.7472400Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7473068Z NO_TD=False
2025-12-04T09:28:33.7473291Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:28:33.7473604Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:28:33.7473927Z _=/usr/bin/env
2025-12-04T09:28:33.7474297Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:33.7474829Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T09:28:33.7564795Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T09:28:33.7565539Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T09:28:33.7566259Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T09:28:33.7566954Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T09:28:33.7567649Z + BUILD_DIR=build
2025-12-04T09:28:33.7567977Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T09:28:33.7568268Z + BUILD_BIN_DIR=build/bin
2025-12-04T09:28:33.7568531Z + SHARD_NUMBER=1
2025-12-04T09:28:33.7568765Z + NUM_TEST_SHARDS=3
2025-12-04T09:28:33.7569013Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:33.7569333Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:33.7569614Z + export VALGRIND=ON
2025-12-04T09:28:33.7569853Z + VALGRIND=ON
2025-12-04T09:28:33.7570135Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *clang9* ]]
2025-12-04T09:28:33.7570540Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T09:28:33.7570877Z + detect_cuda_arch
2025-12-04T09:28:33.7571183Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:33.7571610Z + command -v nvidia-smi
2025-12-04T09:28:33.7572021Z + [[ nogpu_AVX512 == *nogpu* ]]
2025-12-04T09:28:33.7572300Z + TORCH_CUDA_ARCH_LIST=8.0
2025-12-04T09:28:33.7572576Z + export TORCH_CUDA_ARCH_LIST
2025-12-04T09:28:33.7572913Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]]
2025-12-04T09:28:33.7573252Z + [[ 1 == \1 ]]
2025-12-04T09:28:33.7573479Z + ulimit -c 0
2025-12-04T09:28:33.7573759Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *bazel* ]]
2025-12-04T09:28:33.7574125Z ++ realpath build/custom_test_artifacts
2025-12-04T09:28:33.7591192Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T09:28:33.7591722Z + [[ -n '' ]]
2025-12-04T09:28:33.7591965Z + echo 'Environment variables'
2025-12-04T09:28:33.7592245Z Environment variables
2025-12-04T09:28:33.7592488Z + env
2025-12-04T09:28:33.7598855Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:28:33.7599555Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:28:33.7600004Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11
2025-12-04T09:28:33.7600799Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:28:33.7601106Z HOSTNAME=d161d4aa8b45
2025-12-04T09:28:33.7601826Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7602620Z GITHUB_ACTION=__run_3
2025-12-04T09:28:33.7602955Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:28:33.7603257Z GITHUB_RUN_NUMBER=19107
2025-12-04T09:28:33.7603552Z TEST_CONFIG=nogpu_AVX512
2025-12-04T09:28:33.7603859Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:28:33.7604184Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:28:33.7604741Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:28:33.7605155Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:28:33.7605523Z GITHUB_TRIGGERING_ACTOR=huydhn
2025-12-04T09:28:33.7605800Z GITHUB_REF_TYPE=branch
2025-12-04T09:28:33.7606061Z TORCH_CUDA_ARCH_LIST=8.0
2025-12-04T09:28:33.7606377Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7606762Z XLA_CUDA=
2025-12-04T09:28:33.7607039Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:28:33.7607646Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:28:33.7607963Z ***
2025-12-04T09:28:33.7608184Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:28:33.7608454Z GITHUB_ACTIONS=true
2025-12-04T09:28:33.7608763Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:28:33.7609227Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7609606Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7610154Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main
2025-12-04T09:28:33.7610661Z UCC_HOME=/usr
2025-12-04T09:28:33.7610888Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:28:33.7611167Z VERBOSE_TEST_LOGS=False
2025-12-04T09:28:33.7611432Z GITHUB_REF=refs/heads/main
2025-12-04T09:28:33.7611686Z SHARD_NUMBER=1
2025-12-04T09:28:33.7611922Z GITHUB_REF_PROTECTED=true
2025-12-04T09:28:33.7612189Z HOME=/var/lib/jenkins
2025-12-04T09:28:33.7612465Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:28:33.7612862Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:28:33.7613212Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:28:33.7613562Z USE_SYSTEM_NCCL=1
2025-12-04T09:28:33.7613789Z NUM_TEST_SHARDS=3
2025-12-04T09:28:33.7614024Z UCX_HOME=/usr
2025-12-04T09:28:33.7614615Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7615536Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T09:28:33.7616450Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7617292Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:28:33.7617817Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:28:33.7618075Z DASHBOARD_TAG=
2025-12-04T09:28:33.7618312Z GITHUB_RUN_ID=19922826259
2025-12-04T09:28:33.7618711Z INSTALLED_OPENBLAS=
2025-12-04T09:28:33.7619342Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7620115Z GITHUB_ACTOR=huydhn
2025-12-04T09:28:33.7620362Z PR_NUMBER=
2025-12-04T09:28:33.7620569Z DESIRED_CUDA=12.8.1
2025-12-04T09:28:33.7620811Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:28:33.7621061Z VALGRIND=ON
2025-12-04T09:28:33.7621285Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:28:33.7621637Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:28:33.7621995Z TERM=vt100
2025-12-04T09:28:33.7622208Z INSTALLED_VISION=yes
2025-12-04T09:28:33.7622462Z BRANCH=main
2025-12-04T09:28:33.7622691Z SCCACHE_REGION=us-east-1
2025-12-04T09:28:33.7622959Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:28:33.7623255Z BUILD_AOT_INDUCTOR_TEST=
2025-12-04T09:28:33.7623528Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:28:33.7624074Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:28:33.7624672Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:28:33.7625042Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:28:33.7625401Z REENABLED_ISSUES=
2025-12-04T09:28:33.7625620Z DOCS=
2025-12-04T09:28:33.7625827Z SHLVL=1
2025-12-04T09:28:33.7626036Z MAX_JOBS=14
2025-12-04T09:28:33.7626245Z GITHUB_ACTOR_ID=475357
2025-12-04T09:28:33.7626591Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:28:33.7626989Z GITHUB_REF_NAME=main
2025-12-04T09:28:33.7627361Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:28:33.7627881Z GITHUB_JOB=test
2025-12-04T09:28:33.7628116Z NO_TEST_TIMEOUT=False
2025-12-04T09:28:33.7628358Z TD_DISTRIBUTED=False
2025-12-04T09:28:33.7628630Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:28:33.7628938Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:28:33.7629207Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:28:33.7629465Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:28:33.7630375Z 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
2025-12-04T09:28:33.7631221Z GITHUB_BASE_REF=
2025-12-04T09:28:33.7631448Z INSTALLED_ACL=
2025-12-04T09:28:33.7631812Z ARTIFACTS_FILE_SUFFIX=test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T09:28:33.7632243Z CI=true
2025-12-04T09:28:33.7632464Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:28:33.7632952Z RUST_LOG=sccache::server=error
2025-12-04T09:28:33.7633400Z JOB_ID=57118431063
2025-12-04T09:28:33.7633792Z GITHUB_HEAD_REF=
2025-12-04T09:28:33.7634226Z GITHUB_ACTION_REF=
2025-12-04T09:28:33.7634759Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:28:33.7635334Z TEST_SHOWLOCALS=False
2025-12-04T09:28:33.7635599Z GITHUB_WORKFLOW=periodic
2025-12-04T09:28:33.7635879Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:28:33.7636541Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_42bd7b67-401e-47c2-a9ae-600d7e3ee4f9
2025-12-04T09:28:33.7637196Z NO_TD=False
2025-12-04T09:28:33.7637427Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:28:33.7637741Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:28:33.7638192Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:28:33.7638630Z _=/usr/bin/env
2025-12-04T09:28:33.7638868Z + echo 'Testing pytorch'
2025-12-04T09:28:33.7639121Z Testing pytorch
2025-12-04T09:28:33.7639364Z + export LANG=C.UTF-8
2025-12-04T09:28:33.7639611Z + LANG=C.UTF-8
2025-12-04T09:28:33.7653009Z + PR_NUMBER=
2025-12-04T09:28:33.7653321Z + [[ nogpu_AVX512 == \d\e\f\a\u\l\t ]]
2025-12-04T09:28:33.7653833Z + [[ nogpu_AVX512 == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T09:28:33.7654166Z + [[ nogpu_AVX512 == \s\l\o\w ]]
2025-12-04T09:28:33.7654556Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-12-04T09:28:33.7655138Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:28:33.7655592Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:28:33.7656045Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:28:33.7656378Z + [[ nogpu_AVX512 == *crossref* ]]
2025-12-04T09:28:33.7656720Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:33.7657115Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T09:28:33.7657507Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-12-04T09:28:33.7657876Z + pip_install ninja==1.10.2
2025-12-04T09:28:33.7658248Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T09:28:33.7658712Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T09:28:34.2206842Z Collecting ninja==1.10.2
2025-12-04T09:28:34.2432935Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T09:28:34.2534085Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T09:28:34.6211853Z Installing collected packages: ninja
2025-12-04T09:28:34.6212581Z   Attempting uninstall: ninja
2025-12-04T09:28:34.6220263Z     Found existing installation: ninja 1.11.1.4
2025-12-04T09:28:34.6240895Z     Uninstalling ninja-1.11.1.4:
2025-12-04T09:28:34.6300945Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T09:28:34.6635318Z Successfully installed ninja-1.10.2
2025-12-04T09:28:34.7202229Z + 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
2025-12-04T09:28:34.7203922Z + 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
2025-12-04T09:28:34.7205400Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-12-04T09:28:34.7205891Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-12-04T09:28:34.7206375Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-debug* ]]
2025-12-04T09:28:34.7206809Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]]
2025-12-04T09:28:34.7207398Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass'
2025-12-04T09:28:34.7208108Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass
2025-12-04T09:28:34.7208608Z + cd test
2025-12-04T09:28:34.7208974Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T09:28:37.7006304Z + [[ nogpu_AVX512 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T09:28:37.7006738Z + [[ nogpu_AVX512 == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T09:28:37.7007136Z + export ATEN_CPU_CAPABILITY=avx2
2025-12-04T09:28:37.7007461Z + ATEN_CPU_CAPABILITY=avx2
2025-12-04T09:28:37.7007821Z + [[ nogpu_AVX512 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T09:28:37.7011431Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T09:28:37.7012028Z + [[ nogpu_AVX512 == *pr_time_benchmarks* ]]
2025-12-04T09:28:37.7012423Z + [[ nogpu_AVX512 == *dynamo_eager* ]]
2025-12-04T09:28:37.7012749Z + [[ nogpu_AVX512 == *aot_eager* ]]
2025-12-04T09:28:37.7013070Z + [[ nogpu_AVX512 == *aot_inductor* ]]
2025-12-04T09:28:37.7013414Z + [[ nogpu_AVX512 == *max_autotune_inductor* ]]
2025-12-04T09:28:37.7013745Z + [[ nogpu_AVX512 == *inductor* ]]
2025-12-04T09:28:37.7014066Z + [[ nogpu_AVX512 == *dynamic* ]]
2025-12-04T09:28:37.7014362Z + [[ nogpu_AVX512 == *cpu* ]]
2025-12-04T09:28:37.7014650Z + [[ nogpu_AVX512 == *xpu* ]]
2025-12-04T09:28:37.7014958Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T09:28:37.7046819Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-12-04T09:28:37.7047308Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-bazel-* ]]
2025-12-04T09:28:37.7050232Z + cd test
2025-12-04T09:28:37.7050927Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T09:28:39.0246318Z PyTorch built with:
2025-12-04T09:28:39.0246644Z   - GCC 11.4
2025-12-04T09:28:39.0246869Z   - C++ Version: 201703
2025-12-04T09:28:39.0247752Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:28:39.0248515Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:28:39.0248968Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:28:39.0249325Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T09:28:39.0249671Z   - NNPACK is enabled
2025-12-04T09:28:39.0249930Z   - CPU capability usage: AVX2
2025-12-04T09:28:39.0254996Z   - 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, 
2025-12-04T09:28:39.0260363Z 
2025-12-04T09:28:39.2964001Z + cd test
2025-12-04T09:28:39.2964465Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T09:28:40.6199486Z ATen/Parallel:
2025-12-04T09:28:40.6199840Z 	at::get_num_threads() : 8
2025-12-04T09:28:40.6200149Z 	at::get_num_interop_threads() : 8
2025-12-04T09:28:40.6200488Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:28:40.6200799Z 	omp_get_max_threads() : 8
2025-12-04T09:28:40.6201379Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:28:40.6202059Z 	mkl_get_max_threads() : 8
2025-12-04T09:28:40.6202443Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:28:40.6202908Z std::thread::hardware_concurrency() : 16
2025-12-04T09:28:40.6203240Z Environment variables:
2025-12-04T09:28:40.6203502Z 	OMP_NUM_THREADS : [not set]
2025-12-04T09:28:40.6203785Z 	MKL_NUM_THREADS : [not set]
2025-12-04T09:28:40.6204084Z ATen parallel backend: OpenMP
2025-12-04T09:28:40.6204271Z 
2025-12-04T09:28:40.8997585Z + [[ nogpu_AVX512 == *numpy_2* ]]
2025-12-04T09:28:40.8998168Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]]
2025-12-04T09:28:40.8998550Z + [[ nogpu_AVX512 == *backward* ]]
2025-12-04T09:28:40.8999001Z + [[ nogpu_AVX512 == *libtorch_agnostic_targetting* ]]
2025-12-04T09:28:40.8999385Z + [[ nogpu_AVX512 == *xla* ]]
2025-12-04T09:28:40.8999661Z + [[ nogpu_AVX512 == *vllm* ]]
2025-12-04T09:28:40.8999953Z + [[ nogpu_AVX512 == *executorch* ]]
2025-12-04T09:28:40.9000280Z + [[ nogpu_AVX512 == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T09:28:40.9000618Z + [[ nogpu_AVX512 == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T09:28:40.9001012Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]]
2025-12-04T09:28:40.9001395Z + [[ nogpu_AVX512 == distributed ]]
2025-12-04T09:28:40.9001721Z + [[ nogpu_AVX512 == *operator_benchmark* ]]
2025-12-04T09:28:40.9002142Z + [[ nogpu_AVX512 == *operator_microbenchmark* ]]
2025-12-04T09:28:40.9002566Z + [[ nogpu_AVX512 == *attention_microbenchmark* ]]
2025-12-04T09:28:40.9002941Z + [[ nogpu_AVX512 == *inductor_distributed* ]]
2025-12-04T09:28:40.9003279Z + [[ nogpu_AVX512 == *inductor-halide* ]]
2025-12-04T09:28:40.9003617Z + [[ nogpu_AVX512 == *inductor-pallas* ]]
2025-12-04T09:28:40.9003963Z + [[ nogpu_AVX512 == *inductor-triton-cpu* ]]
2025-12-04T09:28:40.9004548Z + [[ nogpu_AVX512 == *inductor-micro-benchmark* ]]
2025-12-04T09:28:40.9004948Z + [[ nogpu_AVX512 == *aoti_cross_compile_for_windows* ]]
2025-12-04T09:28:40.9005330Z + [[ nogpu_AVX512 == *huggingface* ]]
2025-12-04T09:28:40.9005647Z + [[ nogpu_AVX512 == *timm* ]]
2025-12-04T09:28:40.9005928Z + [[ nogpu_AVX512 == cachebench ]]
2025-12-04T09:28:40.9006244Z + [[ nogpu_AVX512 == verify_cachebench ]]
2025-12-04T09:28:40.9006574Z + [[ nogpu_AVX512 == *torchbench* ]]
2025-12-04T09:28:40.9006896Z + [[ nogpu_AVX512 == *inductor_cpp_wrapper* ]]
2025-12-04T09:28:40.9007241Z + [[ nogpu_AVX512 == *inductor_core* ]]
2025-12-04T09:28:40.9007566Z + [[ nogpu_AVX512 == *inductor* ]]
2025-12-04T09:28:40.9007853Z + [[ nogpu_AVX512 == *einops* ]]
2025-12-04T09:28:40.9008153Z + [[ nogpu_AVX512 == *dynamo_core* ]]
2025-12-04T09:28:40.9008471Z + [[ nogpu_AVX512 == *dynamo_wrapped* ]]
2025-12-04T09:28:40.9008832Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]]
2025-12-04T09:28:40.9009167Z + [[ 1 == 1 ]]
2025-12-04T09:28:40.9009398Z + [[ 3 -gt 1 ]]
2025-12-04T09:28:40.9009656Z + test_lazy_tensor_meta_reference_disabled
2025-12-04T09:28:40.9010050Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:28:40.9010487Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1
2025-12-04T09:28:40.9010936Z + echo 'Testing lazy tensor operations without meta reference'
2025-12-04T09:28:40.9011388Z Testing lazy tensor operations without meta reference
2025-12-04T09:28:40.9011892Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose
2025-12-04T09:28:42.4793413Z W1204 09:28:42.478000 170 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:28:45.7592988Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:28:45.8306610Z Ignoring disabled issues:  ['']
2025-12-04T09:28:45.8404668Z Found test times from artifacts
2025-12-04T09:28:45.8794827Z Found test times from artifacts
2025-12-04T09:28:45.8809228Z Running all tests
2025-12-04T09:28:45.8813288Z Running parallel tests on 3 processes
2025-12-04T09:28:45.8813692Z Name: tests to run (est. time: 0.01min)
2025-12-04T09:28:45.8814000Z   Serial tests (0):
2025-12-04T09:28:45.8814257Z   Parallel tests (1):
2025-12-04T09:28:45.8814526Z     lazy/test_ts_opinfo 1/1
2025-12-04T09:28:45.8814806Z Name: excluded (est. time: 0.0min)
2025-12-04T09:28:45.8815252Z   Serial tests (0):
2025-12-04T09:28:45.8815502Z   Parallel tests (0):
2025-12-04T09:28:45.8816233Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:28:45.881432][983.353668521]
2025-12-04T09:28:45.8816770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:45.8820552Z 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 09:28:45.881816]
2025-12-04T09:28:50.2509915Z 
2025-12-04T09:28:50.2510926Z 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_f46865c8c1b9dd88_.log
2025-12-04T09:28:50.2511780Z Running 0 items in this shard:
2025-12-04T09:28:50.2511973Z 
2025-12-04T09:28:50.2512247Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:28:50.250949][987.723182184], took 0.07min
2025-12-04T09:28:50.2517076Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-bfd8f7dd6dd006db.xml
2025-12-04T09:28:50.7235746Z Uploading artifacts took 0.17 seconds
2025-12-04T09:28:52.3572043Z W1204 09:28:52.356000 227 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:28:52.3633706Z W1204 09:28:52.362000 226 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:28:52.3652622Z W1204 09:28:52.364000 228 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:28:53.6284554Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:28:53.628084][991.100317087]
2025-12-04T09:28:53.6285068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:28:53.6287587Z 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 09:28:53.628505]
2025-12-04T09:28:58.0923268Z 
2025-12-04T09:28:58.0924388Z 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_fba6fb74c234c1f1_.log
2025-12-04T09:28:58.0925533Z Running 0 items in this shard:
2025-12-04T09:28:58.0925852Z 
2025-12-04T09:28:58.0926311Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:28:58.092308][995.564540719], took 0.07min
2025-12-04T09:28:58.0935685Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-5400e8bd83008a99.xml
2025-12-04T09:28:58.8797456Z Running test batch 'tests to run' cost 13.0 seconds
2025-12-04T09:28:59.5122198Z 
2025-12-04T09:28:59.5122606Z real	0m18.612s
2025-12-04T09:28:59.5122913Z user	0m26.251s
2025-12-04T09:28:59.5123153Z sys	0m7.242s
2025-12-04T09:28:59.5123476Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE
2025-12-04T09:28:59.5124215Z + test_without_numpy
2025-12-04T09:28:59.5126810Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:28:59.5137976Z + pushd .ci/pytorch
2025-12-04T09:28:59.5138713Z ~/workspace/.ci/pytorch ~/workspace
2025-12-04T09:28:59.5139659Z + 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())'
2025-12-04T09:29:00.3119057Z /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.)
2025-12-04T09:29:00.3120566Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:29:01.0086027Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))'
2025-12-04T09:29:01.7999951Z /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.)
2025-12-04T09:29:01.8001449Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:29:02.2376756Z tensor([0., 1.])
2025-12-04T09:29:02.5046534Z + [[ nogpu_AVX512 == *dynamo_wrapped* ]]
2025-12-04T09:29:02.5047165Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx'
2025-12-04T09:29:03.3261321Z /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.)
2025-12-04T09:29:03.3262908Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T09:29:04.0468691Z + popd
2025-12-04T09:29:04.0468988Z ~/workspace
2025-12-04T09:29:04.0469225Z + install_torchvision
2025-12-04T09:29:04.0469493Z + local orig_preload
2025-12-04T09:29:04.0469742Z + local commit
2025-12-04T09:29:04.0472317Z ++ get_pinned_commit vision
2025-12-04T09:29:04.0472610Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T09:29:04.0501095Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:04.0501554Z + orig_preload=
2025-12-04T09:29:04.0501831Z + '[' -n '' ']'
2025-12-04T09:29:04.0502128Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]]
2025-12-04T09:29:04.0502547Z + export FORCE_CUDA=1
2025-12-04T09:29:04.0502791Z + FORCE_CUDA=1
2025-12-04T09:29:04.0503028Z + export WITH_CUDA=1
2025-12-04T09:29:04.0503279Z + WITH_CUDA=1
2025-12-04T09:29:04.0503872Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T09:29:04.0504781Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:04.0505388Z + local wheel_dir=dist/vision
2025-12-04T09:29:04.0505676Z + local found_whl=0
2025-12-04T09:29:04.0505921Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:29:04.0506230Z + [[ -f dist/vision/*.whl ]]
2025-12-04T09:29:04.0506501Z + '[' 0 == 0 ']'
2025-12-04T09:29:04.0507199Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:04.3586330Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:04.3590262Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-9e0581tw
2025-12-04T09:29:04.3772912Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-9e0581tw
2025-12-04T09:29:06.0776541Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T09:29:06.0796600Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:06.1792990Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:29:08.0465032Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:29:08.0489456Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T09:30:27.2341572Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
2025-12-04T09:30:27.2398684Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786382 sha256=633570bee932349b3240bd64e1ed0f82b261cc53f58ac82bf8eeaa008c548c51
2025-12-04T09:30:27.2400017Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T09:30:27.2439500Z Successfully built torchvision
2025-12-04T09:30:27.3306505Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:30:27.3307061Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:27.3311916Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T09:30:27.3312514Z + local args
2025-12-04T09:30:27.3313128Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T09:30:27.3313698Z + for path in "${args[@]}"
2025-12-04T09:30:27.3314652Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T09:30:27.3315442Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:27.3316265Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:27.6608083Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:30:27.6729054Z Installing collected packages: torchvision
2025-12-04T09:30:28.1291647Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T09:30:28.1650603Z + '[' -n '' ']'
2025-12-04T09:30:28.1650911Z + test_python_shard 1
2025-12-04T09:30:28.1651459Z + [[ -z 3 ]]
2025-12-04T09:30:28.1652273Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 3 --verbose --upload-artifacts-while-running
2025-12-04T09:30:29.8133068Z W1204 09:30:29.812000 1827 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:30:33.1166949Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:30:33.1265030Z Found test times from artifacts
2025-12-04T09:30:33.1648896Z Found test times from artifacts
2025-12-04T09:30:33.1660992Z Running all tests
2025-12-04T09:30:33.2102836Z Running parallel tests on 3 processes
2025-12-04T09:30:33.2118846Z Name: tests to run (est. time: 33.56min)
2025-12-04T09:30:33.2119416Z   Serial tests (47):
2025-12-04T09:30:33.2119909Z     inductor/test_flex_attention 1/1
2025-12-04T09:30:33.2120401Z     test_privateuseone_python_backend 1/1
2025-12-04T09:30:33.2120747Z     test_ci_sanity_check_fail 1/1
2025-12-04T09:30:33.2121094Z     test_overrides 1/1
2025-12-04T09:30:33.2121370Z     inductor/test_max_autotune 1/1
2025-12-04T09:30:33.2121926Z     doctests 1/1
2025-12-04T09:30:33.2122417Z     inductor/test_cutlass_backend 1/1
2025-12-04T09:30:33.2122784Z     inductor/test_benchmark_fusion 1/1
2025-12-04T09:30:33.2123113Z     inductor/test_distributed_patterns 1/1
2025-12-04T09:30:33.2123452Z     dynamo/test_fake_distributed 1/1
2025-12-04T09:30:33.2123766Z     test_sort_and_select 1/1
2025-12-04T09:30:33.2124290Z     test_cpp_api_parity 1/1
2025-12-04T09:30:33.2124582Z     test_extension_utils 1/1
2025-12-04T09:30:33.2124868Z     test_show_pickle 1/1
2025-12-04T09:30:33.2125120Z     test_torch 1/1
2025-12-04T09:30:33.2125365Z     test_tensorexpr 1/1
2025-12-04T09:30:33.2125618Z     test_utils 1/1
2025-12-04T09:30:33.2125862Z     test_namedtuple_return_api 1/1
2025-12-04T09:30:33.2126163Z     test_fake_tensor 1/1
2025-12-04T09:30:33.2126443Z     test_multiprocessing 1/1
2025-12-04T09:30:33.2126740Z     test_fx 1/1
2025-12-04T09:30:33.2126971Z     test_autograd_fallback 1/1
2025-12-04T09:30:33.2127253Z     test_autocast 1/1
2025-12-04T09:30:33.2127516Z     test_python_dispatch 1/1
2025-12-04T09:30:33.2127788Z     test_jit_disabled 1/1
2025-12-04T09:30:33.2128080Z     test_cpp_extensions_mtia_backend 1/1
2025-12-04T09:30:33.2128438Z     functorch/test_memory_efficient_fusion 1/1
2025-12-04T09:30:33.2128780Z     test_tensor_creation_ops 1/1
2025-12-04T09:30:33.2129105Z     test_cpp_extensions_stream_and_event 1/1
2025-12-04T09:30:33.2129448Z     test_dispatch 1/1
2025-12-04T09:30:33.2129701Z     nn/test_convolution 1/1
2025-12-04T09:30:33.2129993Z     test_cpp_extensions_jit 1/1
2025-12-04T09:30:33.2130280Z     test_nn 1/1
2025-12-04T09:30:33.2130520Z     test_multiprocessing_spawn 1/1
2025-12-04T09:30:33.2130831Z     nn/test_pooling 1/1
2025-12-04T09:30:33.2131086Z     test_cuda_trace 1/1
2025-12-04T09:30:33.2131349Z     test_native_mha 1/1
2025-12-04T09:30:33.2131598Z     test_cuda_nvml_based_avail 1/1
2025-12-04T09:30:33.2131904Z     test_mobile_optimizer 1/1
2025-12-04T09:30:33.2132193Z     test_cuda_primary_ctx 1/1
2025-12-04T09:30:33.2132467Z     test_reductions 1/1
2025-12-04T09:30:33.2132727Z     test_spectral_ops 1/1
2025-12-04T09:30:33.2133018Z     distributions/test_distributions 1/1
2025-12-04T09:30:33.2133338Z     test_autoload_disable 1/1
2025-12-04T09:30:33.2133625Z     test_autoload_enable 1/1
2025-12-04T09:30:33.2133919Z     test_cpp_extensions_aot_ninja 1/1
2025-12-04T09:30:33.2134238Z     test_cpp_extensions_aot_no_ninja 1/1
2025-12-04T09:30:33.2134565Z   Parallel tests (182):
2025-12-04T09:30:33.2134836Z     inductor/test_aot_inductor 1/1
2025-12-04T09:30:33.2135147Z     inductor/test_torchinductor_opinfo 1/1
2025-12-04T09:30:33.2135492Z     inductor/test_cudagraph_trees 1/1
2025-12-04T09:30:33.2135822Z     inductor/test_compile_subprocess 1/1
2025-12-04T09:30:33.2136156Z     inductor/test_native_matmul 1/1
2025-12-04T09:30:33.2136596Z     inductor/test_op_dtype_prop 1/1
2025-12-04T09:30:33.2136930Z     inductor/test_unbacked_symints 1/1
2025-12-04T09:30:33.2137256Z     inductor/test_padding 1/1
2025-12-04T09:30:33.2137539Z     test_varlen_attention 1/1
2025-12-04T09:30:33.2137860Z     higher_order_ops/test_invoke_subgraph 1/1
2025-12-04T09:30:33.2138197Z     test_decomp 1/1
2025-12-04T09:30:33.2138431Z     test_ops_fwd_gradients 1/1
2025-12-04T09:30:33.2138708Z     test_meta 1/1
2025-12-04T09:30:33.2138949Z     test_nestedtensor 1/1
2025-12-04T09:30:33.2139198Z     test_linalg 1/1
2025-12-04T09:30:33.2139454Z     test_public_bindings 1/1
2025-12-04T09:30:33.2139726Z     test_ops 1/1
2025-12-04T09:30:33.2139956Z     functorch/test_dims 1/1
2025-12-04T09:30:33.2140228Z     test_sparse_csr 1/1
2025-12-04T09:30:33.2140488Z     functorch/test_vmap 1/1
2025-12-04T09:30:33.2140757Z     test_torchfuzz_repros 1/1
2025-12-04T09:30:33.2141059Z     inductor/test_select_algorithm 1/1
2025-12-04T09:30:33.2141399Z     inductor/test_group_batch_fusion 1/1
2025-12-04T09:30:33.2141733Z     dynamo/test_dynamic_shapes 1/2
2025-12-04T09:30:33.2142032Z     inductor/test_cpu_repro 5/5
2025-12-04T09:30:33.2142335Z     inductor/test_custom_lowering 1/1
2025-12-04T09:30:33.2142650Z     inductor/test_perf 1/1
2025-12-04T09:30:33.2142927Z     inductor/test_fused_attention 1/1
2025-12-04T09:30:33.2143247Z     inductor/test_binary_folding 1/1
2025-12-04T09:30:33.2143584Z     inductor/test_mkldnn_pattern_matcher 1/2
2025-12-04T09:30:33.2143922Z     inductor/test_cpu_select_algorithm 1/1
2025-12-04T09:30:33.2144268Z     inductor/test_aot_inductor_arrayref 2/2
2025-12-04T09:30:33.2144727Z     inductor/test_torchinductor_strided_blocks 1/1
2025-12-04T09:30:33.2145084Z     inductor/test_multi_kernel 1/1
2025-12-04T09:30:33.2145419Z     inductor/test_triton_extension_backend 1/1
2025-12-04T09:30:33.2145780Z     inductor/test_triton_heuristics 1/1
2025-12-04T09:30:33.2146118Z     inductor/test_gpu_cpp_wrapper 1/1
2025-12-04T09:30:33.2146437Z     dynamo/test_deque_reconstruct 1/1
2025-12-04T09:30:33.2146751Z     inductor/test_utils 1/1
2025-12-04T09:30:33.2147035Z     inductor/test_indexing 1/1
2025-12-04T09:30:33.2147332Z     inductor/test_inductor_annotations 1/1
2025-12-04T09:30:33.2147669Z     inductor/test_compile_worker 1/1
2025-12-04T09:30:33.2147982Z     dynamo/test_einops 1/1
2025-12-04T09:30:33.2148259Z     inductor/test_external_callables 1/1
2025-12-04T09:30:33.2148578Z     test_testing 1/1
2025-12-04T09:30:33.2148844Z     dynamo/test_fx_passes_pre_grad 1/1
2025-12-04T09:30:33.2149159Z     export/test_strict_export_v2 1/1
2025-12-04T09:30:33.2149479Z     inductor/test_segmented_tree 1/1
2025-12-04T09:30:33.2149805Z     inductor/test_kernel_optimization 1/1
2025-12-04T09:30:33.2150127Z     inductor/test_metrics 1/1
2025-12-04T09:30:33.2150435Z     export/test_unflatten_training_ir 1/1
2025-12-04T09:30:33.2150765Z     inductor/test_fx_fusion 1/1
2025-12-04T09:30:33.2151066Z     dynamo/test_inline_and_install 1/1
2025-12-04T09:30:33.2151405Z     export/test_functionalized_assertions 1/1
2025-12-04T09:30:33.2151757Z     dynamo/test_base_output 1/1
2025-12-04T09:30:33.2152062Z     inductor/test_lookup_table 1/1
2025-12-04T09:30:33.2152366Z     export/test_serialize 1/1
2025-12-04T09:30:33.2152676Z     inductor/test_cutedsl_template 1/1
2025-12-04T09:30:33.2153021Z     inductor/test_move_constructors_to_gpu 1/1
2025-12-04T09:30:33.2153358Z     export/test_export_strict 1/1
2025-12-04T09:30:33.2153660Z     dynamo/test_modules 1/1
2025-12-04T09:30:33.2153946Z     inductor/test_remote_cache 1/1
2025-12-04T09:30:33.2154250Z     inductor/test_cudacodecache 1/1
2025-12-04T09:30:33.2154575Z     inductor/test_minifier_utils 1/1
2025-12-04T09:30:33.2154889Z     inductor/test_debug_trace 1/1
2025-12-04T09:30:33.2155181Z     dynamo/test_recompiles 1/1
2025-12-04T09:30:33.2155475Z     inductor/test_foreach 1/1
2025-12-04T09:30:33.2155768Z     export/test_tree_utils 1/1
2025-12-04T09:30:33.2156072Z     inductor/test_static_cuda_launcher 1/1
2025-12-04T09:30:33.2156475Z     export/test_dynamic_shapes 1/1
2025-12-04T09:30:33.2156788Z     dynamo/test_sdpa 1/1
2025-12-04T09:30:33.2157058Z     dynamo/test_utils 1/1
2025-12-04T09:30:33.2157341Z     inductor/test_provenance_tracing 1/1
2025-12-04T09:30:33.2157681Z     inductor/test_combo_kernels 1/1
2025-12-04T09:30:33.2157999Z     inductor/test_codegen_triton 1/1
2025-12-04T09:30:33.2158302Z     dynamo/test_frame_init 1/1
2025-12-04T09:30:33.2158604Z     inductor/test_device_assert 1/1
2025-12-04T09:30:33.2158925Z     dynamo/test_skip_non_tensor 1/1
2025-12-04T09:30:33.2159241Z     dynamo/test_skip_guard_eval_unsafe 1/1
2025-12-04T09:30:33.2159584Z     dynamo/test_interop 1/1
2025-12-04T09:30:33.2159883Z     functorch/test_eager_transforms 1/1
2025-12-04T09:30:33.2160219Z     inductor/test_benchmarking 1/1
2025-12-04T09:30:33.2160528Z     inductor/test_helion_kernels 1/1
2025-12-04T09:30:33.2160849Z     inductor/test_quantization 1/1
2025-12-04T09:30:33.2161157Z     export/test_tools 1/1
2025-12-04T09:30:33.2161441Z     inductor/test_compiled_optimizers 1/1
2025-12-04T09:30:33.2161897Z     inductor/test_aot_inductor_custom_ops 1/1
2025-12-04T09:30:33.2162249Z     inductor/test_memory_planning 1/1
2025-12-04T09:30:33.2162563Z     inductor/test_dependencies 1/1
2025-12-04T09:30:33.2162878Z     inductor/test_alignment 1/1
2025-12-04T09:30:33.2163175Z     dynamo/test_debug_utils 1/1
2025-12-04T09:30:33.2163455Z     inductor/test_mps_basic 1/1
2025-12-04T09:30:33.2163740Z     xpu/test_fusion 1/1
2025-12-04T09:30:33.2164001Z     test_expanded_weights 1/1
2025-12-04T09:30:33.2176687Z     higher_order_ops/test_with_effects 1/1
2025-12-04T09:30:33.2177183Z     test_weak 1/1
2025-12-04T09:30:33.2177434Z     test_complex 1/1
2025-12-04T09:30:33.2177854Z     test_optim 1/1
2025-12-04T09:30:33.2178110Z     lazy/test_functionalization 1/1
2025-12-04T09:30:33.2178434Z     torch_np/test_random 1/1
2025-12-04T09:30:33.2178736Z     nn/test_multihead_attention 1/1
2025-12-04T09:30:33.2179049Z     test_legacy_vmap 1/1
2025-12-04T09:30:33.2179317Z     lazy/test_bindings 1/1
2025-12-04T09:30:33.2179585Z     test_pytree 1/1
2025-12-04T09:30:33.2179849Z     profiler/test_record_function 1/1
2025-12-04T09:30:33.2180169Z     test_compile_benchmark_util 1/1
2025-12-04T09:30:33.2180507Z     test_set_default_mobile_cpu_allocator 1/1
2025-12-04T09:30:33.2180847Z     test_stateless 1/1
2025-12-04T09:30:33.2181092Z     test_binary_ufuncs 1/1
2025-12-04T09:30:33.2181373Z     higher_order_ops/test_print 1/1
2025-12-04T09:30:33.2181692Z     test_per_overload_api 1/1
2025-12-04T09:30:33.2181997Z     torch_np/numpy_tests/core/test_einsum 1/1
2025-12-04T09:30:33.2182337Z     test_out_dtype_op 1/1
2025-12-04T09:30:33.2182618Z     torch_np/test_ufuncs_basic 1/1
2025-12-04T09:30:33.2182918Z     lazy/test_step_closures 1/1
2025-12-04T09:30:33.2183223Z     functorch/dim/test_getsetitem 1/1
2025-12-04T09:30:33.2183555Z     profiler/test_cpp_thread 1/1
2025-12-04T09:30:33.2183843Z     test_hub 1/1
2025-12-04T09:30:33.2184069Z     test_opaque_obj_v2 1/1
2025-12-04T09:30:33.2184346Z     test_type_hints 1/1
2025-12-04T09:30:33.2184648Z     functorch/test_aot_joint_with_descriptors 1/1
2025-12-04T09:30:33.2185009Z     test_functionalization_of_rng_ops 1/1
2025-12-04T09:30:33.2185345Z     test_fx_reinplace_pass 1/1
2025-12-04T09:30:33.2185646Z     functorch/test_control_flow 1/1
2025-12-04T09:30:33.2185935Z     test_logging 1/1
2025-12-04T09:30:33.2186193Z     nn/test_lazy_modules 1/1
2025-12-04T09:30:33.2186471Z     nn/test_pruning 1/1
2025-12-04T09:30:33.2186713Z     test_monitor 1/1
2025-12-04T09:30:33.2186969Z     test_bundled_inputs 1/1
2025-12-04T09:30:33.2187278Z     torch_np/numpy_tests/core/test_numeric 1/1
2025-12-04T09:30:33.2187651Z     torch_np/numpy_tests/core/test_multiarray 1/1
2025-12-04T09:30:33.2187996Z     test_itt 1/1
2025-12-04T09:30:33.2188278Z     torch_np/numpy_tests/lib/test_function_base 1/1
2025-12-04T09:30:33.2188614Z     test_masked 1/1
2025-12-04T09:30:33.2188858Z     test_sympy_utils 1/1
2025-12-04T09:30:33.2189123Z     test_subclass 1/1
2025-12-04T09:30:33.2189531Z     test_import_stats 1/1
2025-12-04T09:30:33.2189821Z     functorch/test_vmap_registrations 1/1
2025-12-04T09:30:33.2190190Z     nn/test_parametrization 1/1
2025-12-04T09:30:33.2190490Z     test_mkldnn_fusion 1/1
2025-12-04T09:30:33.2190753Z     lazy/test_ts_opinfo 1/1
2025-12-04T09:30:33.2191036Z     test_dynamic_shapes 1/1
2025-12-04T09:30:33.2191318Z     optim/test_swa_utils 1/1
2025-12-04T09:30:33.2191762Z     torch_np/numpy_tests/lib/test_histograms 1/1
2025-12-04T09:30:33.2192174Z     torch_np/test_indexing 1/1
2025-12-04T09:30:33.2192466Z     test_schema_check 1/1
2025-12-04T09:30:33.2192750Z     test_tensorboard 1/1
2025-12-04T09:30:33.2193038Z     torch_np/numpy_tests/core/test_indexing 1/1
2025-12-04T09:30:33.2193373Z     test_futures 1/1
2025-12-04T09:30:33.2193622Z     nn/test_dropout 1/1
2025-12-04T09:30:33.2193880Z     functorch/dim/test_split 1/1
2025-12-04T09:30:33.2194210Z     torch_np/numpy_tests/lib/test_type_check 1/1
2025-12-04T09:30:33.2194571Z     profiler/test_execution_trace 1/1
2025-12-04T09:30:33.2194871Z     test_jit 1/1
2025-12-04T09:30:33.2195214Z     test_datapipe 1/1
2025-12-04T09:30:33.2195502Z     test_numba_integration 1/1
2025-12-04T09:30:33.2195786Z     test_functional_optim 1/1
2025-12-04T09:30:33.2196080Z     test_maskedtensor 1/1
2025-12-04T09:30:33.2196383Z     benchmark_utils/test_benchmark_utils 1/1
2025-12-04T09:30:33.2196741Z     torch_np/numpy_tests/core/test_scalarmath 1/1
2025-12-04T09:30:33.2197133Z     torch_np/numpy_tests/core/test_shape_base 1/1
2025-12-04T09:30:33.2197501Z     test_vulkan 1/1
2025-12-04T09:30:33.2197817Z     lazy/test_generator 1/1
2025-12-04T09:30:33.2198366Z     torch_np/numpy_tests/linalg/test_linalg 1/1
2025-12-04T09:30:33.2198738Z     torch_np/numpy_tests/core/test_dtype 1/1
2025-12-04T09:30:33.2199071Z     lazy/test_debug_util 1/1
2025-12-04T09:30:33.2199349Z     nn/test_load_state_dict 1/1
2025-12-04T09:30:33.2199641Z     nn/test_module_hooks 1/1
2025-12-04T09:30:33.2199964Z     torch_np/numpy_tests/lib/test_twodim_base 1/1
2025-12-04T09:30:33.2200324Z     profiler/test_memory_profiler 1/1
2025-12-04T09:30:33.2200642Z     test_jit_llga_fuser 1/1
2025-12-04T09:30:33.2200920Z     test_serialization 1/1
2025-12-04T09:30:33.2201182Z     optim/test_optim 1/1
2025-12-04T09:30:33.2201482Z     torch_np/numpy_tests/fft/test_pocketfft 1/1
2025-12-04T09:30:33.2201949Z     torch_np/numpy_tests/lib/test_shape_base_ 1/1
2025-12-04T09:30:33.2202337Z     torch_np/numpy_tests/core/test_getlimits 1/1
2025-12-04T09:30:33.2202684Z     torch_np/test_ndarray_methods 1/1
2025-12-04T09:30:33.2202996Z     test_type_info 1/1
2025-12-04T09:30:33.2203275Z     functorch/test_aotdispatch 1/1
2025-12-04T09:30:33.2203577Z     test_scatter_gather_ops 1/1
2025-12-04T09:30:33.2203870Z     test_unary_ufuncs 1/1
2025-12-04T09:30:33.2204133Z     test_dlpack 1/1
2025-12-04T09:30:33.2204375Z Name: excluded (est. time: 0.0min)
2025-12-04T09:30:33.2204668Z   Serial tests (0):
2025-12-04T09:30:33.2204904Z   Parallel tests (0):
2025-12-04T09:30:33.2205340Z Running inductor/test_flex_attention 1/1 ... [2025-12-04 09:30:33.219097][1090.691333219]
2025-12-04T09:30:33.2205855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:33.2207148Z 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 09:30:33.219463]
2025-12-04T09:30:43.8747044Z 
2025-12-04T09:30:43.8748053Z 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_823b1204929e68ff_.log
2025-12-04T09:30:43.8748979Z Running 0 items in this shard:
2025-12-04T09:30:43.8749180Z 
2025-12-04T09:30:43.8749504Z Finished inductor/test_flex_attention 1/1 ... [2025-12-04 09:30:43.874680][1101.346913072], took 0.18min
2025-12-04T09:30:43.8759172Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-0893318c7c3e89ba.xml
2025-12-04T09:30:44.1359172Z Uploading artifacts took 0.10 seconds
2025-12-04T09:30:44.1362446Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:30:44.136067][1101.608299735]
2025-12-04T09:30:44.1362995Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:44.1366717Z 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 09:30:44.136439]
2025-12-04T09:30:47.2829303Z 
2025-12-04T09:30:47.2830386Z 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_92fbd4134121b481_.log
2025-12-04T09:30:47.2831308Z Running 0 items in this shard:
2025-12-04T09:30:47.2831534Z 
2025-12-04T09:30:47.2831900Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:30:47.282755][1104.754988923], took 0.05min
2025-12-04T09:30:47.2838809Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-2bea7a1b1e31a518.xml
2025-12-04T09:30:47.3077251Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:30:47.307576][1104.779811365]
2025-12-04T09:30:47.3077861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:47.3081309Z 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 09:30:47.307900]
2025-12-04T09:30:50.5372621Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:30:50.536925][1108.009149803], took 0.05min
2025-12-04T09:30:50.5383442Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-0a179009ea65ce1c.xml
2025-12-04T09:30:50.6503011Z Uploading logs for 57118431063 to S3
2025-12-04T09:30:50.6752035Z Uploading artifacts took 0.11 seconds
2025-12-04T09:30:50.6752391Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T09:30:50.6756198Z Running test_overrides 1/1 ... [2025-12-04 09:30:50.675474][1108.147706502]
2025-12-04T09:30:50.6756644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:50.6760682Z 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 09:30:50.675850]
2025-12-04T09:30:54.1473246Z 
2025-12-04T09:30:54.1474322Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_896293f7285b12e1_.log
2025-12-04T09:30:54.1474961Z 
2025-12-04T09:30:54.1475222Z Finished test_overrides 1/1 ... [2025-12-04 09:30:54.147093][1111.619325135], took 0.06min
2025-12-04T09:30:54.1488463Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:30:54.148661][1111.620895578]
2025-12-04T09:30:54.1488979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:30:54.1492177Z 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 09:30:54.148986]
2025-12-04T09:31:02.2506643Z 
2025-12-04T09:31:02.2507624Z 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_7367b9f7ae46fb74_.log
2025-12-04T09:31:02.2508651Z 
2025-12-04T09:31:02.2508975Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:31:02.250481][1119.722714905], took 0.14min
2025-12-04T09:31:02.2521172Z Running doctests 1/1 ... [2025-12-04 09:31:02.251957][1119.724191995]
2025-12-04T09:31:02.7567202Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368.
2025-12-04T09:31:02.7568110Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:02.7568716Z Registers the function implementation as the fallback for the given key.
2025-12-04T09:31:02.7569120Z 
2025-12-04T09:31:02.7569348Z         This function only works for a library with global namespace ("_").
2025-12-04T09:31:02.7569682Z 
2025-12-04T09:31:02.7569780Z         Args:
2025-12-04T09:31:02.7570195Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:31:02.7570730Z                 to register a fallthrough.
2025-12-04T09:31:02.7571282Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:31:02.7571903Z                           the dispatch key that the library was created with.
2025-12-04T09:31:02.7572551Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:31:02.7573382Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:31:02.7573838Z 
2025-12-04T09:31:02.7574197Z         Example::
2025-12-04T09:31:02.7574340Z 
2025-12-04T09:31:02.7574465Z             >>> my_lib = Library("_", "IMPL")
2025-12-04T09:31:02.7574831Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:31:02.7575279Z             >>>     # Handle all autocast ops generically
2025-12-04T09:31:02.7575622Z             >>>     # ...
2025-12-04T09:31:02.7575926Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:02.7576282Z         
2025-12-04T09:31:02.7577043Z 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))
2025-12-04T09:31:02.7577980Z 
2025-12-04T09:31:02.7578129Z my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:02.7578447Z ^
2025-12-04T09:31:02.7704193Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958.
2025-12-04T09:31:02.7705071Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:02.7705678Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:31:02.7706023Z 
2025-12-04T09:31:02.7706202Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:31:02.7706513Z 
2025-12-04T09:31:02.7706772Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:31:02.7707369Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:31:02.7707945Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:31:02.7708449Z     what the properties of the output Tensors are.
2025-12-04T09:31:02.7708714Z 
2025-12-04T09:31:02.7708944Z     The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:31:02.7709501Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:31:02.7710035Z     implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:31:02.7710587Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:31:02.7711111Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:31:02.7711674Z     The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:31:02.7712366Z     (and may not directly access the storage or data of any input or
2025-12-04T09:31:02.7712787Z     intermediate Tensors).
2025-12-04T09:31:02.7712961Z 
2025-12-04T09:31:02.7713121Z     This API may be used as a decorator (see examples).
2025-12-04T09:31:02.7713384Z 
2025-12-04T09:31:02.7713519Z     For a detailed guide on custom ops, please see
2025-12-04T09:31:02.7714021Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:31:02.7714387Z 
2025-12-04T09:31:02.7714472Z     Args:
2025-12-04T09:31:02.7714816Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:31:02.7715273Z         func: Fake tensor implementation.
2025-12-04T09:31:02.7715721Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:31:02.7716232Z         allow_override: Flag controlling if we want to override an
2025-12-04T09:31:02.7716713Z                         existing registered fake impl. This is by default off,
2025-12-04T09:31:02.7717174Z                         and will error you're trying to register a fake impl to
2025-12-04T09:31:02.7717645Z                         an operator that already has a fake impl. This also only
2025-12-04T09:31:02.7718105Z                         applies if the custom operator was not created via
2025-12-04T09:31:02.7718577Z                         torch.library.custom_op, as overriding and existing fake
2025-12-04T09:31:02.7718992Z                         impl is already allowed.
2025-12-04T09:31:02.7719228Z 
2025-12-04T09:31:02.7719317Z     Examples:
2025-12-04T09:31:02.7719543Z         >>> import torch
2025-12-04T09:31:02.7719802Z         >>> import numpy as np
2025-12-04T09:31:02.7720202Z         >>> from torch import Tensor
2025-12-04T09:31:02.7720498Z         >>>
2025-12-04T09:31:02.7720803Z         >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:02.7721352Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:31:02.7721997Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:02.7722529Z         >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:31:02.7722899Z         >>>
2025-12-04T09:31:02.7723199Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:31:02.7723591Z         >>> def _(x, weight, bias):
2025-12-04T09:31:02.7723888Z         >>>     assert x.dim() == 2
2025-12-04T09:31:02.7724200Z         >>>     assert weight.dim() == 2
2025-12-04T09:31:02.7724521Z         >>>     assert bias.dim() == 1
2025-12-04T09:31:02.7724841Z         >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:02.7725218Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:02.7725581Z         >>>     assert x.device == weight.device
2025-12-04T09:31:02.7725897Z         >>>
2025-12-04T09:31:02.7726118Z         >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:02.7726428Z         >>>
2025-12-04T09:31:02.7726724Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:31:02.7727103Z         >>>     x = torch.randn(2, 3)
2025-12-04T09:31:02.7727410Z         >>>     w = torch.randn(3, 3)
2025-12-04T09:31:02.7727712Z         >>>     b = torch.randn(3)
2025-12-04T09:31:02.7728033Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:31:02.7728372Z         >>>
2025-12-04T09:31:02.7728595Z         >>> assert y.shape == (2, 3)
2025-12-04T09:31:02.7728870Z         >>>
2025-12-04T09:31:02.7729164Z         >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:02.7729676Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:31:02.7730152Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:02.7730495Z         >>>     x_np = x.numpy(force=True)
2025-12-04T09:31:02.7730847Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:02.7731224Z         >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:02.7731546Z         >>>
2025-12-04T09:31:02.7731917Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:31:02.7732300Z         >>> def _(x):
2025-12-04T09:31:02.7732594Z         >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:02.7733014Z         >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:31:02.7733446Z         >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:02.7733848Z         >>> # represents the data-dependent size.
2025-12-04T09:31:02.7734195Z         >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:02.7734539Z         >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:02.7734872Z         >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:02.7735217Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:02.7735580Z         >>>     return result
2025-12-04T09:31:02.7735843Z         >>>
2025-12-04T09:31:02.7736134Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:31:02.7736522Z         >>>
2025-12-04T09:31:02.7736757Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:31:02.7737226Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:31:02.7737697Z         >>> trace.print_readable()
2025-12-04T09:31:02.7737984Z         >>>
2025-12-04T09:31:02.7738325Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:31:02.7738668Z 
2025-12-04T09:31:02.7738748Z     
2025-12-04T09:31:02.7739409Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:31:02.7740140Z 
2025-12-04T09:31:02.7740220Z _._ = None
2025-12-04T09:31:02.7740421Z ^
2025-12-04T09:31:02.7840280Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530.
2025-12-04T09:31:02.7841158Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:02.7841806Z Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:31:02.7842141Z 
2025-12-04T09:31:02.7842378Z     This function retrieves the kernel that would be executed for a given
2025-12-04T09:31:02.7842949Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:31:02.7843507Z     can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:31:02.7844037Z     case for this function is to retrieve the original kernel for a given
2025-12-04T09:31:02.7844597Z     dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:31:02.7845101Z     that calls into the original kernel for certain cases.
2025-12-04T09:31:02.7845389Z 
2025-12-04T09:31:02.7845475Z     Args:
2025-12-04T09:31:02.7845830Z         op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:31:02.7846384Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:31:02.7846996Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:31:02.7847572Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:31:02.7847884Z 
2025-12-04T09:31:02.7847984Z     Returns:
2025-12-04T09:31:02.7848340Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:31:02.7848803Z             call the kernel.
2025-12-04T09:31:02.7848983Z 
2025-12-04T09:31:02.7849081Z     Raises:
2025-12-04T09:31:02.7849335Z         RuntimeError: If the operator does not exist.
2025-12-04T09:31:02.7849604Z 
2025-12-04T09:31:02.7849689Z     Example:
2025-12-04T09:31:02.7849936Z         >>> # Get the CPU kernel for torch.add
2025-12-04T09:31:02.7850361Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:31:02.7850745Z         >>>
2025-12-04T09:31:02.7850984Z         >>> # You can also use DispatchKey enum
2025-12-04T09:31:02.7851632Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:31:02.7852190Z         >>>
2025-12-04T09:31:02.7852427Z         >>> # Or use an OpOverload directly
2025-12-04T09:31:02.7852875Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:31:02.7853295Z         >>>
2025-12-04T09:31:02.7853632Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:31:02.7854091Z         >>> # Get the original kernel for torch.sin
2025-12-04T09:31:02.7854550Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:31:02.7854966Z         >>>
2025-12-04T09:31:02.7855340Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:31:02.7855835Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:31:02.7856174Z         >>>     if (x < 0).any():
2025-12-04T09:31:02.7856557Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:31:02.7856952Z         >>>     else:
2025-12-04T09:31:02.7857224Z         >>>         return torch.zeros_like(x)
2025-12-04T09:31:02.7857527Z         >>>
2025-12-04T09:31:02.7857786Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:31:02.7858294Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:31:02.7858856Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:02.7859363Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:31:02.7859887Z         >>>
2025-12-04T09:31:02.7860108Z         >>> # Test the conditional behavior
2025-12-04T09:31:02.7860455Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:31:02.7860809Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:31:02.7861144Z         >>> torch.sin(x_positive)
2025-12-04T09:31:02.7861426Z         tensor([0., 0.])
2025-12-04T09:31:02.7861704Z         >>> torch.sin(x_mixed)
2025-12-04T09:31:02.7861991Z         tensor([-0.8415, 0.9093])
2025-12-04T09:31:02.7862255Z     
2025-12-04T09:31:02.7862860Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:31:02.7863457Z 
2025-12-04T09:31:02.7863648Z which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:02.7864034Z       ^
2025-12-04T09:31:03.0849687Z 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.
2025-12-04T09:31:03.0850641Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:03.0851257Z Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:31:03.0851875Z     required drivers are available and at least one device is visible.
2025-12-04T09:31:03.0852377Z     See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:31:03.0852635Z 
2025-12-04T09:31:03.0852734Z     Returns:
2025-12-04T09:31:03.0853136Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:31:03.0853549Z 
2025-12-04T09:31:03.0853818Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:31:03.0854449Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:31:03.0855086Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:31:03.0855600Z         :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:31:03.0855866Z 
2025-12-04T09:31:03.0855957Z     Example::
2025-12-04T09:31:03.0856084Z 
2025-12-04T09:31:03.0856364Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:03.0856823Z     
2025-12-04T09:31:03.0857712Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:31:03.0858415Z 
2025-12-04T09:31:03.0858674Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:03.0859158Z                                         ^
2025-12-04T09:31:03.0881309Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239.
2025-12-04T09:31:03.0882304Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:03.0882901Z Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:31:03.0883223Z 
2025-12-04T09:31:03.0883324Z     Args:
2025-12-04T09:31:03.0883762Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:31:03.0884437Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:31:03.0884997Z             use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:31:03.0885309Z 
2025-12-04T09:31:03.0885645Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:31:03.0886074Z 
2025-12-04T09:31:03.0886164Z     Example::
2025-12-04T09:31:03.0886307Z 
2025-12-04T09:31:03.0886444Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:31:03.0886968Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:03.0887501Z         >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:31:03.0888036Z         >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:31:03.0888401Z         >>> start_event.record()
2025-12-04T09:31:03.0888839Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:31:03.0889298Z         >>> sum = torch.sum(tensor)
2025-12-04T09:31:03.0889608Z         >>> end_event.record()
2025-12-04T09:31:03.0889930Z         >>> torch.accelerator.synchronize()
2025-12-04T09:31:03.0890349Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:31:03.0890721Z     
2025-12-04T09:31:03.0891408Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:31:03.0892093Z 
2025-12-04T09:31:03.0892375Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:03.0892891Z                                         ^
2025-12-04T09:31:03.2397301Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448.
2025-12-04T09:31:03.2398177Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:03.2398666Z Retrieves the CUDA runtime API module.
2025-12-04T09:31:03.2398901Z 
2025-12-04T09:31:03.2398906Z 
2025-12-04T09:31:03.2399177Z     This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:31:03.2399787Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:31:03.2400371Z     runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:31:03.2400713Z 
2025-12-04T09:31:03.2400800Z     Args:
2025-12-04T09:31:03.2401018Z         ``None``
2025-12-04T09:31:03.2401154Z 
2025-12-04T09:31:03.2401260Z     Returns:
2025-12-04T09:31:03.2401531Z         module: The CUDA runtime API module (_cudart).
2025-12-04T09:31:03.2401850Z 
2025-12-04T09:31:03.2401944Z     Raises:
2025-12-04T09:31:03.2402306Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:31:03.2403024Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:31:03.2403504Z 
2025-12-04T09:31:03.2403635Z     Example of CUDA operations with profiling:
2025-12-04T09:31:03.2404230Z         >>> import torch
2025-12-04T09:31:03.2404539Z         >>> from torch.cuda import cudart, check_error
2025-12-04T09:31:03.2404923Z         >>> import os
2025-12-04T09:31:03.2405146Z         >>>
2025-12-04T09:31:03.2405387Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:31:03.2405698Z         >>>
2025-12-04T09:31:03.2405943Z         >>> def perform_cuda_operations_with_streams():
2025-12-04T09:31:03.2406310Z         >>>     stream = torch.cuda.Stream()
2025-12-04T09:31:03.2406655Z         >>>     with torch.cuda.stream(stream):
2025-12-04T09:31:03.2407002Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:03.2407378Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:03.2407721Z         >>>         z = torch.mul(x, y)
2025-12-04T09:31:03.2408010Z         >>>     return z
2025-12-04T09:31:03.2408275Z         >>>
2025-12-04T09:31:03.2408509Z         >>> torch.cuda.synchronize()
2025-12-04T09:31:03.2408855Z         >>> print("====== Start nsys profiling ======")
2025-12-04T09:31:03.2409228Z         >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:31:03.2409622Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:31:03.2410027Z         >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:31:03.2410413Z         >>>     print("CUDA operations completed.")
2025-12-04T09:31:03.2410820Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:31:03.2411227Z         >>> print("====== End nsys profiling ======")
2025-12-04T09:31:03.2411462Z 
2025-12-04T09:31:03.2411671Z     To run this example and save the profiling information, execute:
2025-12-04T09:31:03.2412463Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:03.2412954Z 
2025-12-04T09:31:03.2413198Z     This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:31:03.2413769Z     the profiling information to a file named `trace_name.prof`.
2025-12-04T09:31:03.2414317Z     The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:31:03.2414821Z     after the `cudaProfilerStart` call in the script.
2025-12-04T09:31:03.2415309Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:31:03.2415786Z     CSV file and print a summary, respectively.
2025-12-04T09:31:03.2416267Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:31:03.2416794Z     overwrite of the output file if it already exists.
2025-12-04T09:31:03.2417153Z     
2025-12-04T09:31:03.2417911Z 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))
2025-12-04T09:31:03.2418693Z 
2025-12-04T09:31:03.2419042Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:03.2419601Z ^
2025-12-04T09:31:04.6506901Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39.
2025-12-04T09:31:04.6508183Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:04.6508676Z 
2025-12-04T09:31:04.6508895Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:31:04.6509438Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:31:04.6509977Z pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:31:04.6510432Z vectorizing those operations.
2025-12-04T09:31:04.6510638Z 
2025-12-04T09:31:04.6510849Z vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:31:04.6511388Z ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:31:04.6511906Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:31:04.6512635Z compute batched gradients when composed with autograd.
2025-12-04T09:31:04.6512934Z 
2025-12-04T09:31:04.6513050Z .. note::
2025-12-04T09:31:04.6513360Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:31:04.6513780Z     convenience. Use whichever one you'd like.
2025-12-04T09:31:04.6514029Z 
2025-12-04T09:31:04.6514112Z Args:
2025-12-04T09:31:04.6514441Z     func (function): A Python function that takes one or more arguments.
2025-12-04T09:31:04.6514872Z         Must return one or more Tensors.
2025-12-04T09:31:04.6515291Z     in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:31:04.6515791Z         inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:31:04.6516274Z         structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:31:04.6516756Z         input is None, then that indicates there is no map dimension.
2025-12-04T09:31:04.6517149Z         Default: 0.
2025-12-04T09:31:04.6517495Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:31:04.6517991Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:31:04.6518459Z         it should have one element per output. Default: 0.
2025-12-04T09:31:04.6518909Z     randomness (str): Specifies whether the randomness in this
2025-12-04T09:31:04.6519406Z         vmap should be the same or different across batches. If 'different',
2025-12-04T09:31:04.6519937Z         the randomness for each batch will be different. If 'same', the
2025-12-04T09:31:04.6520469Z         randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:31:04.6521142Z         random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:31:04.6521666Z         only applies to random PyTorch operations and does not apply to
2025-12-04T09:31:04.6522204Z         Python's random module or numpy randomness.
2025-12-04T09:31:04.6522684Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:31:04.6523245Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:31:04.6523846Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:31:04.6524502Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:31:04.6524890Z 
2025-12-04T09:31:04.6524989Z Returns:
2025-12-04T09:31:04.6525288Z     Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:31:04.6525777Z     ``func``, except each input has an extra dimension at the index
2025-12-04T09:31:04.6526277Z     specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:31:04.6526769Z     ``func``, except each output has an extra dimension at the index
2025-12-04T09:31:04.6527168Z     specified by ``out_dims``.
2025-12-04T09:31:04.6527369Z 
2025-12-04T09:31:04.6527455Z .. warning:
2025-12-04T09:31:04.6527784Z     :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:31:04.6528276Z     perform any side-effects in ``func``, with the exception of
2025-12-04T09:31:04.6528817Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:31:04.6529403Z     Python data structures and assigning values to variables not captured
2025-12-04T09:31:04.6529829Z     in ``func``.
2025-12-04T09:31:04.6529978Z 
2025-12-04T09:31:04.6530212Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:31:04.6530790Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:31:04.6531356Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:31:04.6531694Z 
2025-12-04T09:31:04.6531810Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:04.6532223Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:31:04.6532676Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:04.6533006Z     >>> batched_dot(x, y)
2025-12-04T09:31:04.6533285Z 
2025-12-04T09:31:04.6533515Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:31:04.6533972Z model authoring experience.
2025-12-04T09:31:04.6534152Z 
2025-12-04T09:31:04.6534275Z     >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:04.6534654Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:04.6535037Z     >>>
2025-12-04T09:31:04.6535263Z     >>> def model(feature_vec):
2025-12-04T09:31:04.6535570Z     >>> # Very simple linear model with activation
2025-12-04T09:31:04.6535936Z     >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:04.6536267Z     >>>
2025-12-04T09:31:04.6536520Z     >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:04.6536906Z     >>> result = torch.vmap(model)(examples)
2025-12-04T09:31:04.6537142Z 
2025-12-04T09:31:04.6537388Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:31:04.6538136Z or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:31:04.6538823Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:31:04.6539580Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:31:04.6540174Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:31:04.6540775Z we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:31:04.6541223Z call to ``autograd.grad``.
2025-12-04T09:31:04.6541406Z 
2025-12-04T09:31:04.6541492Z     >>> # Setup
2025-12-04T09:31:04.6541814Z     >>> N = 5
2025-12-04T09:31:04.6542025Z     >>> f = lambda x: x**2
2025-12-04T09:31:04.6542321Z     >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:31:04.6542642Z     >>> y = f(x)
2025-12-04T09:31:04.6542864Z     >>> I_N = torch.eye(N)
2025-12-04T09:31:04.6543123Z     >>>
2025-12-04T09:31:04.6543345Z     >>> # Sequential approach
2025-12-04T09:31:04.6543738Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:31:04.6544185Z     >>>                  for v in I_N.unbind()]
2025-12-04T09:31:04.6544531Z     >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:31:04.6544850Z     >>>
2025-12-04T09:31:04.6545070Z     >>> # vectorized gradient computation
2025-12-04T09:31:04.6545393Z     >>> def get_vjp(v):
2025-12-04T09:31:04.6545674Z     >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:31:04.6546013Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:31:04.6546245Z 
2025-12-04T09:31:04.6546504Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:31:04.6546891Z 
2025-12-04T09:31:04.6547003Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:04.6547300Z     >>> batched_dot = torch.vmap(
2025-12-04T09:31:04.6547601Z     ...     torch.vmap(torch.dot)
2025-12-04T09:31:04.6547913Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:31:04.6548324Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:31:04.6548704Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:31:04.6548941Z 
2025-12-04T09:31:04.6549191Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:31:04.6549698Z the dimension that each inputs are batched along as
2025-12-04T09:31:04.6549972Z 
2025-12-04T09:31:04.6550088Z     >>> torch.dot  # [N], [N] -> []
2025-12-04T09:31:04.6550560Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:31:04.6551019Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:04.6551355Z     >>> batched_dot(
2025-12-04T09:31:04.6551592Z     ...     x, y
2025-12-04T09:31:04.6551908Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:31:04.6552227Z 
2025-12-04T09:31:04.6552484Z If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:31:04.6553138Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:31:04.6553455Z 
2025-12-04T09:31:04.6553573Z     >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:04.6554000Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:31:04.6554484Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:04.6554810Z     >>> batched_dot(
2025-12-04T09:31:04.6555038Z     ...     x, y
2025-12-04T09:31:04.6555368Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:31:04.6555687Z 
2025-12-04T09:31:04.6555918Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:31:04.6556389Z matching the shape of the input:
2025-12-04T09:31:04.6556586Z 
2025-12-04T09:31:04.6556724Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:31:04.6557094Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:04.6557427Z     >>> input = {"x": x, "y": y}
2025-12-04T09:31:04.6557784Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:31:04.6558174Z     >>> batched_dot(input)
2025-12-04T09:31:04.6558355Z 
2025-12-04T09:31:04.6558624Z By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:31:04.6559143Z along any dimension by using ``out_dims``
2025-12-04T09:31:04.6559367Z 
2025-12-04T09:31:04.6559460Z     >>> f = lambda x: x**2
2025-12-04T09:31:04.6559731Z     >>> x = torch.randn(2, 5)
2025-12-04T09:31:04.6560037Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:31:04.6560365Z     >>> batched_pow(x)  # [5, 2]
2025-12-04T09:31:04.6560629Z 
2025-12-04T09:31:04.6560915Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:31:04.6561421Z accept kwargs
2025-12-04T09:31:04.6561550Z 
2025-12-04T09:31:04.6561661Z     >>> x = torch.randn([2, 5])
2025-12-04T09:31:04.6562049Z     >>> def fn(x, scale=4.):
2025-12-04T09:31:04.6562335Z     >>>   return x * scale
2025-12-04T09:31:04.6562582Z     >>>
2025-12-04T09:31:04.6562812Z     >>> batched_pow = torch.vmap(fn)
2025-12-04T09:31:04.6563172Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:31:04.6563659Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:31:04.6564004Z 
2025-12-04T09:31:04.6564101Z .. note::
2025-12-04T09:31:04.6564447Z     vmap does not provide general autobatching or handle variable-length
2025-12-04T09:31:04.6564897Z     sequences out of the box.
2025-12-04T09:31:04.6565082Z 
2025-12-04T09:31:04.6565616Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:31:04.6566281Z 
2025-12-04T09:31:04.6566367Z _._ = None
2025-12-04T09:31:04.6566580Z ^
2025-12-04T09:31:04.6567176Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306.
2025-12-04T09:31:04.6568012Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:04.6568624Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:31:04.6569180Z     input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:31:04.6569602Z     compute higher-order gradients.
2025-12-04T09:31:04.6569827Z 
2025-12-04T09:31:04.6569909Z     Args:
2025-12-04T09:31:04.6570241Z         func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:31:04.6570837Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:31:04.6571489Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:31:04.6571978Z             ``(output, aux)``.
2025-12-04T09:31:04.6572433Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:31:04.6573087Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:31:04.6573634Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:31:04.6574141Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:31:04.6574418Z 
2025-12-04T09:31:04.6574514Z     Returns:
2025-12-04T09:31:04.6574913Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:31:04.6575556Z         the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:31:04.6576188Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:31:04.6576836Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:31:04.6577444Z         respect to each ``argnums`` value is returned.
2025-12-04T09:31:04.6577935Z 
2025-12-04T09:31:04.6578043Z     Example of using ``grad``:
2025-12-04T09:31:04.6578230Z 
2025-12-04T09:31:04.6578349Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:04.6578632Z         >>> from torch.func import grad
2025-12-04T09:31:04.6578953Z         >>> x = torch.randn([])
2025-12-04T09:31:04.6579266Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:31:04.6579632Z         >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:31:04.6579948Z         >>>
2025-12-04T09:31:04.6580176Z         >>> # Second-order gradients
2025-12-04T09:31:04.6580528Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:31:04.6580923Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:31:04.6581302Z 
2025-12-04T09:31:04.6581550Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:31:04.6581918Z 
2025-12-04T09:31:04.6582030Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:04.6582320Z         >>> from torch.func import grad, vmap
2025-12-04T09:31:04.6582663Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:04.6582968Z         >>>
2025-12-04T09:31:04.6583216Z         >>> def model(weights, feature_vec):
2025-12-04T09:31:04.6583565Z         >>> # Very simple linear model with activation
2025-12-04T09:31:04.6583926Z         >>>     assert feature_vec.dim() == 1
2025-12-04T09:31:04.6584284Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:04.6584598Z         >>>
2025-12-04T09:31:04.6584858Z         >>> def compute_loss(weights, example, target):
2025-12-04T09:31:04.6585221Z         >>>     y = model(weights, example)
2025-12-04T09:31:04.6585565Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:31:04.6585902Z         >>>
2025-12-04T09:31:04.6586200Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:04.6586633Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:04.6587015Z         >>> targets = torch.randn(batch_size)
2025-12-04T09:31:04.6587364Z         >>> inputs = (weights, examples, targets)
2025-12-04T09:31:04.6587854Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:31:04.6588317Z         ...     *inputs
2025-12-04T09:31:04.6588563Z         ... )
2025-12-04T09:31:04.6588685Z 
2025-12-04T09:31:04.6588870Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:31:04.6589157Z 
2025-12-04T09:31:04.6589253Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:04.6589547Z         >>> from torch.func import grad
2025-12-04T09:31:04.6589869Z         >>> def my_loss_func(y, y_pred):
2025-12-04T09:31:04.6590214Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:31:04.6590565Z         >>>    loss = loss_per_sample.mean()
2025-12-04T09:31:04.6590916Z         >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:31:04.6591235Z         >>>
2025-12-04T09:31:04.6591531Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:31:04.6591904Z         >>> y_true = torch.rand(4)
2025-12-04T09:31:04.6592332Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:31:04.6592677Z         >>> out = fn(y_true, y_preds)
2025-12-04T09:31:04.6593132Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:31:04.6593507Z 
2025-12-04T09:31:04.6593605Z     .. note::
2025-12-04T09:31:04.6593904Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:31:04.6594187Z 
2025-12-04T09:31:04.6594329Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:31:04.6594596Z 
2025-12-04T09:31:04.6594695Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:04.6594992Z             >>> def f(x):
2025-12-04T09:31:04.6595248Z             >>>     with torch.no_grad():
2025-12-04T09:31:04.6595572Z             >>>         c = x ** 2
2025-12-04T09:31:04.6595868Z             >>>     return x - c
2025-12-04T09:31:04.6596052Z 
2025-12-04T09:31:04.6596262Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:31:04.6596582Z 
2025-12-04T09:31:04.6596766Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:31:04.6597079Z 
2025-12-04T09:31:04.6597176Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:04.6597471Z             >>> with torch.no_grad():
2025-12-04T09:31:04.6597760Z             >>>     grad(f)(x)
2025-12-04T09:31:04.6597945Z 
2025-12-04T09:31:04.6598163Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:31:04.6598729Z         outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:31:04.6599337Z         should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:31:04.6599747Z 
2025-12-04T09:31:04.6599827Z     
2025-12-04T09:31:04.6600477Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:31:04.6601120Z 
2025-12-04T09:31:04.6601218Z _._ = None
2025-12-04T09:31:04.6601429Z ^
2025-12-04T09:31:07.7975546Z 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.
2025-12-04T09:31:07.7976564Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:07.7977112Z Register a FakeTensor implementation for this custom op.
2025-12-04T09:31:07.7977420Z 
2025-12-04T09:31:07.7977854Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:31:07.7978249Z 
2025-12-04T09:31:07.7978474Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:31:07.7979072Z         specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:31:07.7979564Z         Given some input Tensors with certain properties
2025-12-04T09:31:07.7980096Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:31:07.7980587Z         the output Tensors are.
2025-12-04T09:31:07.7980781Z 
2025-12-04T09:31:07.7980997Z         Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:31:07.7981318Z 
2025-12-04T09:31:07.7981403Z         Args:
2025-12-04T09:31:07.7981709Z             fn (Callable): The function to register as the FakeTensor
2025-12-04T09:31:07.7982100Z                 implementation.
2025-12-04T09:31:07.7982281Z 
2025-12-04T09:31:07.7982368Z         Examples:
2025-12-04T09:31:07.7982608Z             >>> import torch
2025-12-04T09:31:07.7982887Z             >>> import numpy as np
2025-12-04T09:31:07.7983183Z             >>> from torch import Tensor
2025-12-04T09:31:07.7983487Z             >>>
2025-12-04T09:31:07.7983811Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:07.7984336Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:31:07.7984830Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:07.7985527Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:07.7985853Z             >>>
2025-12-04T09:31:07.7986084Z             >>> @linear.register_fake
2025-12-04T09:31:07.7986399Z             >>> def _(x, weight, bias):
2025-12-04T09:31:07.7986736Z             >>>     assert x.dim() == 2
2025-12-04T09:31:07.7987056Z             >>>     assert weight.dim() == 2
2025-12-04T09:31:07.7987372Z             >>>     assert bias.dim() == 1
2025-12-04T09:31:07.7987721Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:07.7988098Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:07.7988472Z             >>>     assert x.device == weight.device
2025-12-04T09:31:07.7988856Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:31:07.7989205Z             >>>
2025-12-04T09:31:07.7989431Z             >>> x = torch.randn(2, 2)
2025-12-04T09:31:07.7989749Z             >>> weight = torch.randn(2, 2)
2025-12-04T09:31:07.7990081Z             >>> bias = torch.randn(2)
2025-12-04T09:31:07.7990428Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:07.7990868Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:31:07.7991319Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:07.7991819Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:31:07.7992268Z             >>>
2025-12-04T09:31:07.7992581Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:07.7993084Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:31:07.7993656Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:07.7993985Z             >>>     x_np = x.cpu().numpy()
2025-12-04T09:31:07.7994339Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:07.7994725Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:07.7995061Z             >>>
2025-12-04T09:31:07.7995304Z             >>> @nonzero.register_fake
2025-12-04T09:31:07.7995610Z             >>> def _(x):
2025-12-04T09:31:07.7995915Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:07.7996351Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:31:07.7996797Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:07.7997209Z             >>> # represents the data-dependent size.
2025-12-04T09:31:07.7997562Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:07.7997920Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:07.7998262Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:07.7998617Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:07.7998982Z             >>>     return result
2025-12-04T09:31:07.7999259Z             >>>
2025-12-04T09:31:07.7999501Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:31:07.7999868Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:07.8000270Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:31:07.8000672Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:07.8001040Z             >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:31:07.8001292Z 
2025-12-04T09:31:07.8001374Z         
2025-12-04T09:31:07.8002137Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:31:07.8002789Z 
2025-12-04T09:31:07.8002872Z _._ = None
2025-12-04T09:31:07.8003076Z ^
2025-12-04T09:31:07.8194319Z 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.
2025-12-04T09:31:07.8195322Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:31:07.8195866Z 
2025-12-04T09:31:07.8196096Z Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:31:07.8196698Z kernel registration will override any existing fake kernel registrations.
2025-12-04T09:31:07.8197073Z 
2025-12-04T09:31:07.8197280Z The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:31:07.8197844Z profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:31:07.8198386Z are a record of the input and output tensor metadata. Based on this
2025-12-04T09:31:07.8198944Z information we will match a given input to the recorded profile, and return
2025-12-04T09:31:07.8199539Z an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:31:07.8200022Z doesn't exist then an exception will be thrown.
2025-12-04T09:31:07.8200268Z 
2025-12-04T09:31:07.8200496Z The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:31:07.8201122Z rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:31:07.8201719Z variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:31:07.8202405Z fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:31:07.8203026Z possible that data-dependent operations may produce outputs of different
2025-12-04T09:31:07.8203612Z ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:31:07.8204189Z are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:31:07.8204623Z potentially unsafe.
2025-12-04T09:31:07.8204895Z 
2025-12-04T09:31:07.8204979Z Args:
2025-12-04T09:31:07.8205323Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:31:07.8205867Z         name to a set of operator profiles from which we will generate fake
2025-12-04T09:31:07.8206266Z         kernels.
2025-12-04T09:31:07.8206417Z 
2025-12-04T09:31:07.8206505Z Examples:
2025-12-04T09:31:07.8206644Z 
2025-12-04T09:31:07.8206814Z     >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:31:07.8207199Z     >>> import torch
2025-12-04T09:31:07.8207505Z     >>> from torch.export._draft_export import draft_export
2025-12-04T09:31:07.8207875Z     >>>
2025-12-04T09:31:07.8208191Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:31:07.8208602Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:31:07.8208942Z     >>>     return x + y
2025-12-04T09:31:07.8209194Z     >>>
2025-12-04T09:31:07.8209412Z     >>> class M(torch.nn.Module):
2025-12-04T09:31:07.8209727Z     >>>     def forward(self, a, b):
2025-12-04T09:31:07.8210093Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:31:07.8210454Z     >>>         return res
2025-12-04T09:31:07.8210698Z     >>>
2025-12-04T09:31:07.8210982Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:31:07.8211356Z     >>>
2025-12-04T09:31:07.8211765Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:31:07.8212309Z     >>>     decomp = ep.run_decompositions()
2025-12-04T09:31:07.8212533Z 
2025-12-04T09:31:07.8212548Z 
2025-12-04T09:31:07.8213031Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:31:07.8213630Z 
2025-12-04T09:31:08.4100728Z 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.
2025-12-04T09:31:08.4102006Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:08.4102381Z 
2025-12-04T09:31:08.4102660Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:31:08.4103266Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:31:08.4104656Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:31:08.4105139Z input by the user.
2025-12-04T09:31:08.4105519Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:31:08.4106013Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:31:08.4106296Z 
2025-12-04T09:31:08.4106416Z Note::
2025-12-04T09:31:08.4106862Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:31:08.4107304Z 
2025-12-04T09:31:08.4107386Z Args:
2025-12-04T09:31:08.4107600Z     model (nn.Module):
2025-12-04T09:31:08.4107992Z         The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:31:08.4108564Z         sparsified should be added separately using the register_layer() function
2025-12-04T09:31:08.4109048Z     aggregate_fn (Optional, Callable):
2025-12-04T09:31:08.4109524Z         default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:31:08.4110080Z         specifies how inputs should be aggregated over time.
2025-12-04T09:31:08.4110637Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:31:08.4111139Z         Example
2025-12-04T09:31:08.4111455Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:31:08.4111855Z             reduce_fn (Optional, Callable):
2025-12-04T09:31:08.4112327Z                 default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:31:08.4112956Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:31:08.4113574Z                 calling agg_fn() on all inputs.
2025-12-04T09:31:08.4113886Z                 Example
2025-12-04T09:31:08.4114248Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:31:08.4114686Z             mask_fn (Optional, Callable):
2025-12-04T09:31:08.4115252Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:31:08.4115926Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:31:08.4116407Z                 register_layer().
2025-12-04T09:31:08.4116950Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:31:08.4117504Z                 arguments.
2025-12-04T09:31:08.4117790Z             features (Optional, list):
2025-12-04T09:31:08.4118140Z                 default selected features to sparsify.
2025-12-04T09:31:08.4118656Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:31:08.4119134Z                 For example,
2025-12-04T09:31:08.4119567Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:31:08.4120064Z             feature_dim (Optional, int):
2025-12-04T09:31:08.4120552Z                 default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:31:08.4121056Z                 for sparsification.
2025-12-04T09:31:08.4121361Z             sparse_config (Dict):
2025-12-04T09:31:08.4121885Z                 Default configuration for the mask_fn. This config will be passed
2025-12-04T09:31:08.4122319Z                 with the mask_fn()
2025-12-04T09:31:08.4122525Z 
2025-12-04T09:31:08.4122611Z Example:
2025-12-04T09:31:08.4122835Z     >>> # xdoctest: +SKIP
2025-12-04T09:31:08.4123091Z     >>> model = SomeModel()
2025-12-04T09:31:08.4123516Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:31:08.4123985Z     >>> # Initialize aggregate_fn
2025-12-04T09:31:08.4124270Z     >>> def agg_fn(x, y):
2025-12-04T09:31:08.4124530Z     >>>     return x + y
2025-12-04T09:31:08.4124779Z     >>>
2025-12-04T09:31:08.4124986Z     >>> # Initialize reduce_fn
2025-12-04T09:31:08.4125370Z     >>> def reduce_fn(x):
2025-12-04T09:31:08.4125656Z     >>>     return torch.mean(x, dim=0)
2025-12-04T09:31:08.4125948Z     >>>
2025-12-04T09:31:08.4126164Z     >>> # Initialize mask_fn
2025-12-04T09:31:08.4126444Z     >>> def mask_fn(data):
2025-12-04T09:31:08.4126755Z     >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:31:08.4127117Z     >>>
2025-12-04T09:31:08.4127313Z     >>>
2025-12-04T09:31:08.4127544Z     >>> act_sparsifier.register_layer(
2025-12-04T09:31:08.4127853Z     ...     model.some_layer,
2025-12-04T09:31:08.4128137Z     ...     aggregate_fn=agg_fn,
2025-12-04T09:31:08.4128432Z     ...     reduce_fn=reduce_fn,
2025-12-04T09:31:08.4128704Z     ...     mask_fn=mask_fn,
2025-12-04T09:31:08.4128969Z     ... )
2025-12-04T09:31:08.4129171Z     >>>
2025-12-04T09:31:08.4129377Z     >>> # start training process
2025-12-04T09:31:08.4129664Z     >>> for _ in [...]:
2025-12-04T09:31:08.4129913Z     >>> # epoch starts
2025-12-04T09:31:08.4130234Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:31:08.4130612Z     >>> # epoch ends
2025-12-04T09:31:08.4130872Z     >>>     act_sparsifier.step()
2025-12-04T09:31:08.4131161Z     >>> # end training process
2025-12-04T09:31:08.4131459Z     >>> sparsifier.squash_mask()
2025-12-04T09:31:08.4131662Z 
2025-12-04T09:31:08.4132171Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:31:08.4132799Z 
2025-12-04T09:31:08.4132895Z _._ = None
2025-12-04T09:31:08.4133091Z ^
2025-12-04T09:31:09.2745323Z 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.
2025-12-04T09:31:09.2747170Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:09.2747544Z 
2025-12-04T09:31:09.2747836Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:31:09.2748506Z The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:31:09.2749002Z ``mesh_dim_names``
2025-12-04T09:31:09.2749148Z 
2025-12-04T09:31:09.2749245Z Args:
2025-12-04T09:31:09.2749590Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:31:09.2750141Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:31:09.2750534Z Returns:
2025-12-04T09:31:09.2750753Z     A :class:`DeviceMesh` object
2025-12-04T09:31:09.2750956Z 
2025-12-04T09:31:09.2751240Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:31:09.2751755Z In the first example:
2025-12-04T09:31:09.2752173Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:31:09.2752784Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:31:09.2753388Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:31:09.2753959Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:31:09.2754536Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:31:09.2755096Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:31:09.2755453Z 
2025-12-04T09:31:09.2755548Z In the second example:
2025-12-04T09:31:09.2755989Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:31:09.2756638Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:31:09.2757291Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:31:09.2757942Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:31:09.2758437Z 
2025-12-04T09:31:09.2758569Z Example::
2025-12-04T09:31:09.2758689Z 
2025-12-04T09:31:09.2758793Z     >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:31:09.2759177Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:31:09.2759551Z     >>>
2025-12-04T09:31:09.2759858Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:31:09.2760323Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:31:09.2760831Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:09.2761315Z     >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:31:09.2761591Z     >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:31:09.2761965Z     >>>
2025-12-04T09:31:09.2762183Z     >>> # Initialize a 3D mesh.
2025-12-04T09:31:09.2762638Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:31:09.2763377Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:31:09.2763921Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:31:09.2764255Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:31:09.2764468Z 
2025-12-04T09:31:09.2765157Z 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))
2025-12-04T09:31:09.2765971Z 
2025-12-04T09:31:09.2766217Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:09.2766860Z                                                                                  ^
2025-12-04T09:31:09.8140328Z 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.
2025-12-04T09:31:09.8141335Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:09.8141705Z 
2025-12-04T09:31:09.8142031Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:31:09.8142442Z 
2025-12-04T09:31:09.8142735Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:31:09.8143161Z 
2025-12-04T09:31:09.8143439Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:09.8143959Z will be visible to the whole process.
2025-12-04T09:31:09.8144173Z 
2025-12-04T09:31:09.8144458Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:31:09.8144873Z 
2025-12-04T09:31:09.8144993Z 1) set_up_planner - called on all ranks.
2025-12-04T09:31:09.8145351Z     Signals the start of a checkpoint save.
2025-12-04T09:31:09.8145577Z 
2025-12-04T09:31:09.8145711Z 2) create_local_plan - called on all ranks.
2025-12-04T09:31:09.8146221Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:31:09.8146646Z 
2025-12-04T09:31:09.8146830Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:09.8147328Z     Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:31:09.8147641Z 
2025-12-04T09:31:09.8147765Z 4) finish_plan - called on all ranks.
2025-12-04T09:31:09.8148186Z     This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:31:09.8148532Z 
2025-12-04T09:31:09.8148686Z 5) resolve_data - called multiple times on each rank
2025-12-04T09:31:09.8149158Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:31:09.8149483Z 
2025-12-04T09:31:09.8149798Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:31:09.8150398Z most changes can be expressed by changes in a single method.
2025-12-04T09:31:09.8150705Z 
2025-12-04T09:31:09.8150825Z There are 3 usual patterns of extension:
2025-12-04T09:31:09.8151049Z 
2025-12-04T09:31:09.8151552Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:31:09.8152153Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:31:09.8152508Z 
2025-12-04T09:31:09.8152626Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:09.8152985Z >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:31:09.8153335Z >>>     def set_up_planner(
2025-12-04T09:31:09.8153591Z >>>         self,
2025-12-04T09:31:09.8153840Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:09.8154181Z >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:31:09.8154522Z >>>         is_coordinator: bool,
2025-12-04T09:31:09.8154809Z >>>     ) -> None:
2025-12-04T09:31:09.8155062Z >>> # prefix all keys with `foo_``
2025-12-04T09:31:09.8155546Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:31:09.8155967Z 
2025-12-04T09:31:09.8156300Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:31:09.8156791Z 
2025-12-04T09:31:09.8156904Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:09.8157250Z >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:31:09.8157594Z >>>     def create_local_plan(self):
2025-12-04T09:31:09.8157912Z >>>         plan = super().create_local_plan()
2025-12-04T09:31:09.8158244Z >>>         for p in plan:
2025-12-04T09:31:09.8158539Z >>>             if p.tensor_data is not None:
2025-12-04T09:31:09.8158910Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:31:09.8159400Z >>>         return plan
2025-12-04T09:31:09.8159655Z >>>
2025-12-04T09:31:09.8159948Z >>>     def resolve_data(self, write_item):
2025-12-04T09:31:09.8160465Z >>>         item = super().resolve_data(write_item)
2025-12-04T09:31:09.8161080Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:31:09.8161681Z 
2025-12-04T09:31:09.8162101Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:31:09.8162589Z 
2025-12-04T09:31:09.8162703Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:09.8163039Z >>> from itertools import zip_longest
2025-12-04T09:31:09.8163357Z >>> from dataclasses import replace
2025-12-04T09:31:09.8163741Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:31:09.8164303Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:31:09.8164832Z >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:31:09.8165196Z >>>     def create_global_plan(self, all_plans):
2025-12-04T09:31:09.8165585Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:31:09.8165961Z >>>         items_per_rank = [
2025-12-04T09:31:09.8166271Z >>>             [item for item in items if item is not None]
2025-12-04T09:31:09.8166684Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:31:09.8167055Z >>>         ]
2025-12-04T09:31:09.8167272Z >>>         all_plans = [
2025-12-04T09:31:09.8167557Z >>>             replace(plan, items=items)
2025-12-04T09:31:09.8167967Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:31:09.8168369Z >>>         ]
2025-12-04T09:31:09.8168626Z >>>         return super().create_global_plan(all_plans)
2025-12-04T09:31:09.8168890Z 
2025-12-04T09:31:09.8169153Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:31:09.8169817Z accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:31:09.8170319Z the global planner aggregate them:
2025-12-04T09:31:09.8170538Z 
2025-12-04T09:31:09.8170647Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:09.8171018Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:31:09.8171418Z >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:31:09.8171874Z >>>         plan = super().create_local_plan()
2025-12-04T09:31:09.8172315Z >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:31:09.8172686Z >>>
2025-12-04T09:31:09.8173090Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:31:09.8173709Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:31:09.8174186Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:31:09.8174632Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:31:09.8175025Z >>>         return global_plan, metadata
2025-12-04T09:31:09.8175247Z 
2025-12-04T09:31:09.8175779Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:31:09.8176424Z 
2025-12-04T09:31:09.8176520Z _._ = None
2025-12-04T09:31:09.8176712Z ^
2025-12-04T09:31:09.8177462Z 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.
2025-12-04T09:31:09.8178612Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:09.8178987Z 
2025-12-04T09:31:09.8179273Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:31:09.8179681Z 
2025-12-04T09:31:09.8179979Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:31:09.8180392Z 
2025-12-04T09:31:09.8180667Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:09.8181320Z will be visible to the whole process.
2025-12-04T09:31:09.8181546Z 
2025-12-04T09:31:09.8181822Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:31:09.8182223Z 
2025-12-04T09:31:09.8182354Z 1) set_up_planner - called on all ranks.
2025-12-04T09:31:09.8182706Z     Signals the start of loading a checkpoint.
2025-12-04T09:31:09.8182958Z 
2025-12-04T09:31:09.8183078Z 2) create_local_plan - called on all ranks.
2025-12-04T09:31:09.8183598Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:31:09.8184002Z 
2025-12-04T09:31:09.8184197Z 3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:09.8184684Z     Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:31:09.8185008Z 
2025-12-04T09:31:09.8185149Z 4) load_bytes - called multiple times on each rank
2025-12-04T09:31:09.8185573Z     This is called once per non-tensor value in state_dict.
2025-12-04T09:31:09.8185853Z 
2025-12-04T09:31:09.8186073Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:31:09.8186609Z     They are called in pair for each Tensor value in state_dict.
2025-12-04T09:31:09.8186914Z 
2025-12-04T09:31:09.8187256Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:31:09.8187866Z most changes can be expressed by changes in a single method.
2025-12-04T09:31:09.8188160Z 
2025-12-04T09:31:09.8188286Z There are two usual patterns of extension:
2025-12-04T09:31:09.8188528Z 
2025-12-04T09:31:09.8188779Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:31:09.8189414Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:31:09.8190026Z to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:31:09.8190491Z we need to be able to perform it in place
2025-12-04T09:31:09.8190733Z 
2025-12-04T09:31:09.8190846Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:09.8191201Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:31:09.8191531Z >>>     def set_up_planner(
2025-12-04T09:31:09.8191800Z >>>         self,
2025-12-04T09:31:09.8192052Z >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:09.8192449Z >>>         metadata: Metadata,
2025-12-04T09:31:09.8192747Z >>>         is_coordinator: bool,
2025-12-04T09:31:09.8193037Z >>>     ) -> None:
2025-12-04T09:31:09.8193305Z >>>         self.original_state_dict = state_dict
2025-12-04T09:31:09.8193706Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:31:09.8194086Z >>>
2025-12-04T09:31:09.8194319Z >>>         if self.flatten_sharded_tensors:
2025-12-04T09:31:09.8194687Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:31:09.8195042Z >>>
2025-12-04T09:31:09.8195263Z >>>         if self.flatten_state_dict:
2025-12-04T09:31:09.8195657Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:31:09.8196051Z >>>
2025-12-04T09:31:09.8196274Z >>>         self.state_dict = state_dict
2025-12-04T09:31:09.8196586Z >>>         self.metadata = metadata
2025-12-04T09:31:09.8196918Z >>>         self.is_coordinator = is_coordinator
2025-12-04T09:31:09.8197233Z >>>
2025-12-04T09:31:09.8197469Z >>>     def load_bytes(self, read_item, value):
2025-12-04T09:31:09.8197796Z >>> # Remove the "foo_" prefix
2025-12-04T09:31:09.8198302Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:31:09.8198739Z 
2025-12-04T09:31:09.8198743Z 
2025-12-04T09:31:09.8199010Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:31:09.8199392Z 
2025-12-04T09:31:09.8199501Z >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:09.8199872Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:31:09.8200328Z >>>     def resolve_tensor(self, read_item):
2025-12-04T09:31:09.8200688Z >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:31:09.8201071Z >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:31:09.8201413Z >>>
2025-12-04T09:31:09.8201656Z >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:31:09.8202130Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:31:09.8202415Z 
2025-12-04T09:31:09.8202954Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:31:09.8203620Z 
2025-12-04T09:31:09.8203705Z _._ = None
2025-12-04T09:31:09.8203913Z ^
2025-12-04T09:31:10.1076890Z 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.
2025-12-04T09:31:10.1078072Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:10.1078471Z 
2025-12-04T09:31:10.1078691Z ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:31:10.1079206Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:31:10.1079726Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:31:10.1080269Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:31:10.1080827Z is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:31:10.1081226Z follows:
2025-12-04T09:31:10.1081355Z 
2025-12-04T09:31:10.1081481Z     >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:31:10.1082018Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:31:10.1082495Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:31:10.1082960Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:31:10.1083506Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:31:10.1083973Z     >>>     state = fsdp.state_dict()
2025-12-04T09:31:10.1084382Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:31:10.1084953Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:31:10.1085776Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:31:10.1086252Z     >>> if dist.get_rank() == 0:
2025-12-04T09:31:10.1086621Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:31:10.1087064Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:31:10.1087443Z     >>>     model.load_state_dict(state_dict)
2025-12-04T09:31:10.1087898Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:31:10.1088499Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:31:10.1088963Z     >>> fsdp = FSDP(
2025-12-04T09:31:10.1089198Z     ...     model,
2025-12-04T09:31:10.1089468Z     ...     device_id=torch.cuda.current_device(),
2025-12-04T09:31:10.1089823Z     ...     auto_wrap_policy=...,
2025-12-04T09:31:10.1090125Z     ...     sync_module_states=True,
2025-12-04T09:31:10.1090401Z     ... )
2025-12-04T09:31:10.1090730Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:31:10.1091066Z 
2025-12-04T09:31:10.1091208Z Attributes:
2025-12-04T09:31:10.1091530Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:31:10.1092051Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:31:10.1092526Z         ranks save the full state dict. (Default: ``False``)
2025-12-04T09:31:10.1092794Z 
2025-12-04T09:31:10.1093308Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:31:10.1093921Z 
2025-12-04T09:31:10.1094153Z _._ = None
2025-12-04T09:31:10.1094360Z ^
2025-12-04T09:31:12.4849827Z 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.
2025-12-04T09:31:12.4850856Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:12.4851411Z Register a parametrization to a tensor in a module.
2025-12-04T09:31:12.4851730Z 
2025-12-04T09:31:12.4852009Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:31:12.4852695Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:31:12.4853374Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:31:12.4854065Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:31:12.4854477Z 
2025-12-04T09:31:12.4854788Z     The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:31:12.4855483Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:31:12.4855846Z 
2025-12-04T09:31:12.4856112Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:31:12.4856621Z     ``module.parametrizations.weight``.
2025-12-04T09:31:12.4856849Z 
2025-12-04T09:31:12.4856994Z     The original tensor will be accessible under
2025-12-04T09:31:12.4857389Z     ``module.parametrizations.weight.original``.
2025-12-04T09:31:12.4857641Z 
2025-12-04T09:31:12.4857914Z     Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:31:12.4858394Z     on the same attribute.
2025-12-04T09:31:12.4858579Z 
2025-12-04T09:31:12.4858821Z     The training mode of a registered parametrization is updated on registration
2025-12-04T09:31:12.4859324Z     to match the training mode of the host module
2025-12-04T09:31:12.4859568Z 
2025-12-04T09:31:12.4859902Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:31:12.4860466Z     using the context manager :func:`cached`.
2025-12-04T09:31:12.4860710Z 
2025-12-04T09:31:12.4860949Z     A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:31:12.4861309Z 
2025-12-04T09:31:12.4861463Z     .. code-block:: python
2025-12-04T09:31:12.4861928Z 
2025-12-04T09:31:12.4862165Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:31:12.4862502Z 
2025-12-04T09:31:12.4862764Z     This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:31:12.4863377Z     is registered to compute the initial value of the original tensor.
2025-12-04T09:31:12.4864022Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:31:12.4864467Z 
2025-12-04T09:31:12.4864781Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:31:12.4865515Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:31:12.4865965Z 
2025-12-04T09:31:12.4866192Z     It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:31:12.4866789Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:31:12.4867394Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:31:12.4867747Z 
2025-12-04T09:31:12.4868096Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:31:12.4868679Z     with names ``original0``, ``original1``,...
2025-12-04T09:31:12.4868930Z 
2025-12-04T09:31:12.4869020Z     .. note::
2025-12-04T09:31:12.4869150Z 
2025-12-04T09:31:12.4869433Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:31:12.4869976Z         once to perform a number of consistency checks.
2025-12-04T09:31:12.4870645Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:31:12.4871164Z         and nothing will be called otherwise.
2025-12-04T09:31:12.4871392Z 
2025-12-04T09:31:12.4871495Z     .. note::
2025-12-04T09:31:12.4871619Z 
2025-12-04T09:31:12.4871828Z         In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:31:12.4872280Z         ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:31:12.4872813Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:31:12.4873479Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:31:12.4873939Z         to relax this.
2025-12-04T09:31:12.4874106Z 
2025-12-04T09:31:12.4874311Z     .. warning::
2025-12-04T09:31:12.4874450Z 
2025-12-04T09:31:12.4874742Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:31:12.4875412Z         will register a number of new parameters. If such parametrization is registered
2025-12-04T09:31:12.4876053Z         after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:31:12.4876646Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:31:12.4876957Z 
2025-12-04T09:31:12.4877053Z     Args:
2025-12-04T09:31:12.4877387Z         module (nn.Module): module on which to register the parametrization
2025-12-04T09:31:12.4878118Z         tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:31:12.4878567Z             the parametrization
2025-12-04T09:31:12.4878981Z         parametrization (nn.Module): the parametrization to register
2025-12-04T09:31:12.4879384Z     Keyword args:
2025-12-04T09:31:12.4879748Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:31:12.4880281Z             may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:31:12.4880852Z             Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:31:12.4881365Z             Enable this flag at your own risk.
2025-12-04T09:31:12.4881592Z 
2025-12-04T09:31:12.4881702Z     Raises:
2025-12-04T09:31:12.4882172Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:31:12.4882711Z 
2025-12-04T09:31:12.4882802Z     Examples:
2025-12-04T09:31:12.4883087Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:31:12.4883447Z         >>> import torch
2025-12-04T09:31:12.4883708Z         >>> import torch.nn as nn
2025-12-04T09:31:12.4884050Z         >>> import torch.nn.utils.parametrize as P
2025-12-04T09:31:12.4884390Z         >>>
2025-12-04T09:31:12.4884616Z         >>> class Symmetric(nn.Module):
2025-12-04T09:31:12.4884941Z         >>>     def forward(self, X):
2025-12-04T09:31:12.4885327Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:31:12.4885703Z         >>>
2025-12-04T09:31:12.4885938Z         >>>     def right_inverse(self, A):
2025-12-04T09:31:12.4886258Z         >>>         return A.triu()
2025-12-04T09:31:12.4886539Z         >>>
2025-12-04T09:31:12.4886745Z         >>> m = nn.Linear(5, 5)
2025-12-04T09:31:12.4887100Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:31:12.4887629Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:31:12.4888071Z         True
2025-12-04T09:31:12.4888307Z         >>> A = torch.rand(5, 5)
2025-12-04T09:31:12.4888611Z         >>> A = A + A.T  # A is now symmetric
2025-12-04T09:31:12.4889021Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:31:12.4889469Z         >>> print(torch.allclose(m.weight, A))
2025-12-04T09:31:12.4889794Z         True
2025-12-04T09:31:12.4889918Z 
2025-12-04T09:31:12.4890024Z         >>> class RankOne(nn.Module):
2025-12-04T09:31:12.4890523Z         >>>     def forward(self, x, y):
2025-12-04T09:31:12.4890889Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:31:12.4891295Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:31:12.4891623Z         >>>
2025-12-04T09:31:12.4891862Z         >>>     def right_inverse(self, Z):
2025-12-04T09:31:12.4892209Z         >>> # Project Z onto the rank 1 matrices
2025-12-04T09:31:12.4892582Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:31:12.4892971Z         >>> # Return rescaled singular vectors
2025-12-04T09:31:12.4893322Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:31:12.4893692Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:31:12.4894045Z         >>>
2025-12-04T09:31:12.4894314Z         >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:31:12.4894700Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:31:12.4895013Z         ... )
2025-12-04T09:31:12.4895349Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:31:12.4895756Z         1
2025-12-04T09:31:12.4895869Z 
2025-12-04T09:31:12.4895949Z     
2025-12-04T09:31:12.4896611Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:31:12.4897261Z 
2025-12-04T09:31:12.4897357Z _._ = None
2025-12-04T09:31:12.4897564Z ^
2025-12-04T09:31:12.5955477Z 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.
2025-12-04T09:31:12.5956436Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:12.5956992Z Reduce learning rate when a metric has stopped improving.
2025-12-04T09:31:12.5957285Z 
2025-12-04T09:31:12.5957489Z     Models often benefit from reducing the learning rate by a factor
2025-12-04T09:31:12.5958024Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:31:12.5958525Z     quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:31:12.5959049Z     of epochs, the learning rate is reduced.
2025-12-04T09:31:12.5959277Z 
2025-12-04T09:31:12.5959365Z     Args:
2025-12-04T09:31:12.5959629Z         optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:31:12.5960274Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:31:12.5960700Z             be reduced when the quantity monitored has stopped
2025-12-04T09:31:12.5961146Z             decreasing; in `max` mode it will be reduced when the
2025-12-04T09:31:12.5961627Z             quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:31:12.5962188Z         factor (float): Factor by which the learning rate will be
2025-12-04T09:31:12.5962626Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:31:12.5963101Z         patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:31:12.5963589Z             which the learning rate will be reduced.
2025-12-04T09:31:12.5964064Z             For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:31:12.5964777Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:31:12.5965493Z             In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:31:12.5965979Z             we have what is considered an intolerable epoch.
2025-12-04T09:31:12.5966521Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:31:12.5967075Z             the learning rate is reduced at the end of this epoch.
2025-12-04T09:31:12.5967694Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:31:12.5968469Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:31:12.5969123Z             the learning rate is not adjusted.
2025-12-04T09:31:12.5969463Z             Default: 10.
2025-12-04T09:31:12.5969829Z         threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:31:12.5970303Z             to only focus on significant changes. Default: 1e-4.
2025-12-04T09:31:12.5970759Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:31:12.5971224Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:31:12.5971656Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:31:12.5972068Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:31:12.5972527Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:31:12.5973062Z         cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:31:12.5973520Z             normal operation after lr has been reduced. Default: 0.
2025-12-04T09:31:12.5973988Z         min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:31:12.5974435Z             lower bound on the learning rate of all param groups
2025-12-04T09:31:12.5974843Z             or each group respectively. Default: 0.
2025-12-04T09:31:12.5975259Z         eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:31:12.5975739Z             between new and old lr is smaller than eps, the update is
2025-12-04T09:31:12.5976146Z             ignored. Default: 1e-8.
2025-12-04T09:31:12.5976382Z 
2025-12-04T09:31:12.5976468Z     Example:
2025-12-04T09:31:12.5976699Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:12.5977119Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:31:12.5977824Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:31:12.5978199Z         >>> for epoch in range(10):
2025-12-04T09:31:12.5978504Z         >>>     train(...)
2025-12-04T09:31:12.5978790Z         >>>     val_loss = validate(...)
2025-12-04T09:31:12.5979143Z         >>> # Note that step should be called after validate()
2025-12-04T09:31:12.5979521Z         >>>     scheduler.step(val_loss)
2025-12-04T09:31:12.5979735Z 
2025-12-04T09:31:12.5979983Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:31:12.5980406Z     
2025-12-04T09:31:12.5981061Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:31:12.5981610Z 
2025-12-04T09:31:12.5981718Z     scheduler.step(val_loss)
2025-12-04T09:31:12.5981993Z    ^
2025-12-04T09:31:16.3214922Z running 894 test(s)
2025-12-04T09:31:16.3223448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file
2025-12-04T09:31:16.3299731Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0
2025-12-04T09:31:16.3300881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file
2025-12-04T09:31:16.3305972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0
2025-12-04T09:31:16.3307232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file
2025-12-04T09:31:16.3314511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0
2025-12-04T09:31:16.3315684Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file
2025-12-04T09:31:16.3316931Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0
2025-12-04T09:31:16.3318151Z * 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
2025-12-04T09:31:16.3319701Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-12-04T09:31:16.3320913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file
2025-12-04T09:31:16.3322523Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0
2025-12-04T09:31:16.3323778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file
2025-12-04T09:31:16.3325099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-12-04T09:31:16.3326290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file
2025-12-04T09:31:16.3327410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0
2025-12-04T09:31:16.3328675Z * 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
2025-12-04T09:31:16.3330084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-12-04T09:31:16.3331423Z * 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
2025-12-04T09:31:16.3332792Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0
2025-12-04T09:31:16.3334175Z * 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
2025-12-04T09:31:16.3335558Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0
2025-12-04T09:31:16.3336909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-12-04T09:31:16.3338097Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0
2025-12-04T09:31:16.3339202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-12-04T09:31:16.3340309Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0
2025-12-04T09:31:16.3341444Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-12-04T09:31:16.3882194Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-12-04T09:31:16.3883546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-12-04T09:31:16.3884886Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-12-04T09:31:16.3886148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file
2025-12-04T09:31:16.4113317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-12-04T09:31:16.4114653Z * 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
2025-12-04T09:31:16.4632109Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-12-04T09:31:16.4633428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file
2025-12-04T09:31:16.4787361Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-12-04T09:31:16.4791144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file
2025-12-04T09:31:16.4798188Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-12-04T09:31:16.4799345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file
2025-12-04T09:31:16.4818591Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0
2025-12-04T09:31:16.4819753Z * 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
2025-12-04T09:31:16.5065194Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-12-04T09:31:16.5066388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file
2025-12-04T09:31:16.5089552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0
2025-12-04T09:31:16.5090730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-12-04T09:31:16.5142774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-12-04T09:31:16.5143996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-12-04T09:31:16.5179298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0
2025-12-04T09:31:16.5180520Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-12-04T09:31:16.5183312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0
2025-12-04T09:31:16.5184462Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-12-04T09:31:16.5213564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0
2025-12-04T09:31:16.5214679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-12-04T09:31:16.5291035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0
2025-12-04T09:31:16.5292150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file
2025-12-04T09:31:16.5350710Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0
2025-12-04T09:31:16.5351858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file
2025-12-04T09:31:16.5503936Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0
2025-12-04T09:31:16.5505330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-12-04T09:31:16.5517966Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-12-04T09:31:16.5519200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-12-04T09:31:16.5630918Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0
2025-12-04T09:31:16.5632089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-12-04T09:31:16.5639660Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0
2025-12-04T09:31:16.5640826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-12-04T09:31:16.5661686Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0
2025-12-04T09:31:16.5662811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-12-04T09:31:16.5690175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0
2025-12-04T09:31:16.5691293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-12-04T09:31:16.5720241Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0
2025-12-04T09:31:16.5721386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-12-04T09:31:16.5749619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0
2025-12-04T09:31:16.5750755Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-12-04T09:31:16.5776343Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0
2025-12-04T09:31:16.5777471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-12-04T09:31:16.5852295Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0
2025-12-04T09:31:16.5853437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file
2025-12-04T09:31:16.5898638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0
2025-12-04T09:31:16.5899825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file
2025-12-04T09:31:16.5901010Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0
2025-12-04T09:31:16.5902207Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file
2025-12-04T09:31:16.5903345Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0
2025-12-04T09:31:16.5904411Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file
2025-12-04T09:31:16.5905451Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0
2025-12-04T09:31:16.5906675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file
2025-12-04T09:31:16.5907694Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0
2025-12-04T09:31:16.5908719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file
2025-12-04T09:31:16.5909763Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0
2025-12-04T09:31:16.5910799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file
2025-12-04T09:31:16.5911873Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0
2025-12-04T09:31:16.5912993Z * 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
2025-12-04T09:31:16.5914161Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0
2025-12-04T09:31:16.5915329Z * 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
2025-12-04T09:31:16.5916535Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0
2025-12-04T09:31:16.5917701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file
2025-12-04T09:31:16.5918910Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0
2025-12-04T09:31:16.5920141Z * 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
2025-12-04T09:31:16.5921530Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-12-04T09:31:16.5922811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file
2025-12-04T09:31:16.5927294Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0
2025-12-04T09:31:16.5928410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file
2025-12-04T09:31:16.6033028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0
2025-12-04T09:31:16.6034098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file
2025-12-04T09:31:16.6054098Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0
2025-12-04T09:31:16.6055232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file
2025-12-04T09:31:16.6056420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0
2025-12-04T09:31:16.6057599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file
2025-12-04T09:31:16.6058787Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0
2025-12-04T09:31:16.6059972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file
2025-12-04T09:31:16.6397945Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0
2025-12-04T09:31:16.6399425Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file
2025-12-04T09:31:16.6507179Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0
2025-12-04T09:31:16.6508375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file
2025-12-04T09:31:16.6750372Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0
2025-12-04T09:31:16.6751495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file
2025-12-04T09:31:16.6752605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0
2025-12-04T09:31:16.6753763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file
2025-12-04T09:31:16.6759713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0
2025-12-04T09:31:16.6760964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file
2025-12-04T09:31:16.6801523Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0
2025-12-04T09:31:16.6802826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file
2025-12-04T09:31:16.6805860Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0
2025-12-04T09:31:16.6807103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file
2025-12-04T09:31:16.6809923Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0
2025-12-04T09:31:16.6812052Z * 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
2025-12-04T09:31:16.6846357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-12-04T09:31:16.6847596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file
2025-12-04T09:31:16.6856494Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0
2025-12-04T09:31:16.6857664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-12-04T09:31:16.6858880Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0
2025-12-04T09:31:16.6860078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file
2025-12-04T09:31:16.6861343Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0
2025-12-04T09:31:16.6862561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file
2025-12-04T09:31:16.6863785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0
2025-12-04T09:31:16.6864947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file
2025-12-04T09:31:16.6866292Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0
2025-12-04T09:31:16.6867508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file
2025-12-04T09:31:16.6868818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0
2025-12-04T09:31:16.6870000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file
2025-12-04T09:31:16.6871133Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0
2025-12-04T09:31:16.6872270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file
2025-12-04T09:31:16.6873447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0
2025-12-04T09:31:16.6874617Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-12-04T09:31:16.6875819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0
2025-12-04T09:31:16.6877055Z * 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
2025-12-04T09:31:16.6878502Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-12-04T09:31:16.6879754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file
2025-12-04T09:31:16.6894830Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0
2025-12-04T09:31:16.6896191Z * 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
2025-12-04T09:31:16.6901549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0
2025-12-04T09:31:16.6902952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file
2025-12-04T09:31:16.6912953Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-12-04T09:31:16.6914306Z * 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
2025-12-04T09:31:16.6915684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0
2025-12-04T09:31:16.6916993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file
2025-12-04T09:31:16.6918277Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0
2025-12-04T09:31:16.6919518Z * 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
2025-12-04T09:31:16.6920765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-12-04T09:31:16.6922098Z * 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
2025-12-04T09:31:16.9720467Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-12-04T09:31:16.9721827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file
2025-12-04T09:31:16.9723089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-12-04T09:31:16.9724378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file
2025-12-04T09:31:16.9725633Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-12-04T09:31:16.9726893Z * 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
2025-12-04T09:31:16.9729564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-12-04T09:31:16.9730814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file
2025-12-04T09:31:16.9733496Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-12-04T09:31:16.9735132Z * 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
2025-12-04T09:31:16.9736753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-12-04T09:31:16.9738441Z * 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
2025-12-04T09:31:16.9740126Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-12-04T09:31:16.9741584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file
2025-12-04T09:31:16.9743325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-12-04T09:31:16.9744904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-12-04T09:31:16.9746195Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0
2025-12-04T09:31:16.9747674Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file
2025-12-04T09:31:16.9748827Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0
2025-12-04T09:31:16.9750038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file
2025-12-04T09:31:16.9751322Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0
2025-12-04T09:31:16.9752549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file
2025-12-04T09:31:16.9753768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0
2025-12-04T09:31:16.9755035Z * 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
2025-12-04T09:31:16.9756394Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-12-04T09:31:16.9757888Z * 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
2025-12-04T09:31:16.9759174Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0
2025-12-04T09:31:16.9760460Z * 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
2025-12-04T09:31:16.9761858Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-12-04T09:31:16.9763100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file
2025-12-04T09:31:16.9764400Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0
2025-12-04T09:31:16.9765715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-12-04T09:31:16.9766875Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0
2025-12-04T09:31:16.9768111Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-12-04T09:31:16.9769484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-12-04T09:31:16.9770748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file
2025-12-04T09:31:16.9771960Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0
2025-12-04T09:31:16.9773159Z * 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
2025-12-04T09:31:16.9864045Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-12-04T09:31:16.9865495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-12-04T09:31:16.9871549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-12-04T09:31:16.9873186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-12-04T09:31:16.9978119Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0
2025-12-04T09:31:16.9979404Z * 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
2025-12-04T09:31:16.9986173Z W1204 09:31:16.998000 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.
2025-12-04T09:31:17.0017663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-12-04T09:31:17.0018945Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-12-04T09:31:17.0079186Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0
2025-12-04T09:31:17.0080643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file
2025-12-04T09:31:17.0146392Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0
2025-12-04T09:31:17.0147676Z * 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
2025-12-04T09:31:17.0598081Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-12-04T09:31:17.0599409Z * 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
2025-12-04T09:31:17.0693471Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-12-04T09:31:17.0695252Z * 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
2025-12-04T09:31:17.0697505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-12-04T09:31:17.0699402Z * 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
2025-12-04T09:31:17.0701403Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-12-04T09:31:17.0703600Z * 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
2025-12-04T09:31:17.0705992Z * 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
2025-12-04T09:31:17.0708120Z * 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
2025-12-04T09:31:17.0711189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-12-04T09:31:17.0713302Z * 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
2025-12-04T09:31:17.0715504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-12-04T09:31:17.0717479Z * 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
2025-12-04T09:31:17.0719361Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0
2025-12-04T09:31:17.0721163Z * 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
2025-12-04T09:31:17.1104793Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-12-04T09:31:17.1106169Z * 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
2025-12-04T09:31:17.1107605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-12-04T09:31:17.1108940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file
2025-12-04T09:31:17.1250603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-12-04T09:31:17.1251877Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file
2025-12-04T09:31:17.1371532Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-12-04T09:31:17.1372816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file
2025-12-04T09:31:17.4255934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-12-04T09:31:17.4257232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file
2025-12-04T09:31:17.4335983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-12-04T09:31:17.4337290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file
2025-12-04T09:31:17.4360336Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-12-04T09:31:17.4361659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file
2025-12-04T09:31:17.4366507Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-12-04T09:31:17.4367843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file
2025-12-04T09:31:17.4586914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-12-04T09:31:17.4588484Z * 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
2025-12-04T09:31:17.4592892Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-12-04T09:31:17.4594197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-12-04T09:31:17.4595457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-12-04T09:31:17.4596890Z * 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
2025-12-04T09:31:17.4598469Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-12-04T09:31:17.4600005Z * 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
2025-12-04T09:31:17.4601580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-12-04T09:31:17.4603171Z * 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
2025-12-04T09:31:17.4604647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-12-04T09:31:17.4606408Z * 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
2025-12-04T09:31:17.4608264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-12-04T09:31:17.4609906Z * 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
2025-12-04T09:31:17.4611229Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-12-04T09:31:17.4612787Z * 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
2025-12-04T09:31:17.4614375Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-12-04T09:31:17.4615910Z * 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
2025-12-04T09:31:17.4617240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0
2025-12-04T09:31:17.4618662Z * 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
2025-12-04T09:31:17.4620301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0
2025-12-04T09:31:17.4621671Z * 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
2025-12-04T09:31:17.4622883Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-12-04T09:31:17.4624137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file
2025-12-04T09:31:17.4625566Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-12-04T09:31:17.4626958Z * 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
2025-12-04T09:31:17.4628485Z * 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
2025-12-04T09:31:17.4629952Z * 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
2025-12-04T09:31:17.4631388Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-12-04T09:31:17.4632779Z * 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
2025-12-04T09:31:17.4634183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0
2025-12-04T09:31:17.4635550Z * 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
2025-12-04T09:31:17.4636917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0
2025-12-04T09:31:17.4638408Z * 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
2025-12-04T09:31:17.4639913Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0
2025-12-04T09:31:17.4641421Z * 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
2025-12-04T09:31:17.4643067Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0
2025-12-04T09:31:17.4644615Z * 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
2025-12-04T09:31:17.4646234Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0
2025-12-04T09:31:17.4647766Z * 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
2025-12-04T09:31:17.4649318Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0
2025-12-04T09:31:17.4650870Z * 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
2025-12-04T09:31:17.4652481Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0
2025-12-04T09:31:17.4654071Z * 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
2025-12-04T09:31:17.4655698Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-12-04T09:31:17.4657182Z * 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
2025-12-04T09:31:17.5110282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-12-04T09:31:17.5111611Z * 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
2025-12-04T09:31:17.5234122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-12-04T09:31:17.5235577Z * 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
2025-12-04T09:31:17.5237008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-12-04T09:31:17.5238430Z * 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
2025-12-04T09:31:17.5475973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-12-04T09:31:17.5477373Z * 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
2025-12-04T09:31:17.5712994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-12-04T09:31:17.5714816Z * 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
2025-12-04T09:31:17.5716356Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-12-04T09:31:17.5717764Z * 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
2025-12-04T09:31:17.5719164Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-12-04T09:31:17.5720555Z * 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
2025-12-04T09:31:17.5824164Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-12-04T09:31:17.5825501Z * 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
2025-12-04T09:31:17.5835205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-12-04T09:31:17.5836645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file
2025-12-04T09:31:17.5837857Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0
2025-12-04T09:31:17.5839198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file
2025-12-04T09:31:17.5840423Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0
2025-12-04T09:31:17.5841607Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file
2025-12-04T09:31:17.5843035Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0
2025-12-04T09:31:17.5844275Z * 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
2025-12-04T09:31:17.5880599Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-12-04T09:31:17.5881956Z * 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
2025-12-04T09:31:17.5883319Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0
2025-12-04T09:31:17.5884631Z * 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
2025-12-04T09:31:17.5940535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0
2025-12-04T09:31:17.5941873Z * 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
2025-12-04T09:31:17.5944664Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0
2025-12-04T09:31:17.5945982Z * 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
2025-12-04T09:31:17.6042638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0
2025-12-04T09:31:17.6043997Z * 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
2025-12-04T09:31:17.6107463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0
2025-12-04T09:31:17.6108812Z * 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
2025-12-04T09:31:17.6164426Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-12-04T09:31:17.6165752Z * 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
2025-12-04T09:31:17.6167107Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-12-04T09:31:17.6168420Z * 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
2025-12-04T09:31:17.6230762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-12-04T09:31:17.6232135Z * 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
2025-12-04T09:31:17.6235940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-12-04T09:31:17.6237327Z * 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
2025-12-04T09:31:17.6241281Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-12-04T09:31:17.6242927Z * 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
2025-12-04T09:31:17.6244192Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-12-04T09:31:17.6245437Z * 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
2025-12-04T09:31:17.6248743Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-12-04T09:31:17.6250062Z * 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
2025-12-04T09:31:17.6251852Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0
2025-12-04T09:31:17.6253341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-12-04T09:31:17.6254748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-12-04T09:31:17.6256188Z * 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
2025-12-04T09:31:17.6257867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0
2025-12-04T09:31:17.6259484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-12-04T09:31:17.6260713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-12-04T09:31:17.6262077Z * 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
2025-12-04T09:31:17.6263593Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:31:17.6265174Z * 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
2025-12-04T09:31:17.6266862Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:31:17.6268474Z * 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
2025-12-04T09:31:17.6270066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-12-04T09:31:17.6271664Z * 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
2025-12-04T09:31:17.6273301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-12-04T09:31:17.6274892Z * 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
2025-12-04T09:31:17.6276494Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-12-04T09:31:17.6278120Z * 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
2025-12-04T09:31:17.6400049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-12-04T09:31:17.6401505Z * 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
2025-12-04T09:31:17.6438299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-12-04T09:31:17.6440684Z * 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
2025-12-04T09:31:17.6442285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-12-04T09:31:17.6443673Z * 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
2025-12-04T09:31:17.6444981Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-12-04T09:31:17.6446268Z * 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
2025-12-04T09:31:17.6447575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-12-04T09:31:17.6448887Z * 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
2025-12-04T09:31:17.6450614Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-12-04T09:31:17.6451982Z * 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
2025-12-04T09:31:17.6456514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-12-04T09:31:17.6458094Z * 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
2025-12-04T09:31:17.6459677Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-12-04T09:31:17.6461168Z * 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
2025-12-04T09:31:17.6462711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-12-04T09:31:17.6464306Z * 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
2025-12-04T09:31:17.6465963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-12-04T09:31:17.6467495Z * 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
2025-12-04T09:31:17.6469040Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:31:17.6470663Z * 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
2025-12-04T09:31:17.6472367Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:31:17.6474094Z * 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
2025-12-04T09:31:17.6475764Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:31:17.6477367Z * 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
2025-12-04T09:31:17.6478969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-12-04T09:31:17.6480382Z * 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
2025-12-04T09:31:17.6481850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-12-04T09:31:17.6483213Z * 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
2025-12-04T09:31:17.6484615Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-12-04T09:31:17.6486010Z * 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
2025-12-04T09:31:17.6487578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-12-04T09:31:17.6488993Z * 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
2025-12-04T09:31:17.6490446Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-12-04T09:31:17.6491853Z * 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
2025-12-04T09:31:17.6493291Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-12-04T09:31:17.6494673Z * 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
2025-12-04T09:31:17.6496087Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-12-04T09:31:17.6497898Z * 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
2025-12-04T09:31:17.6499700Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0
2025-12-04T09:31:17.6501463Z * 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
2025-12-04T09:31:17.6503262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-12-04T09:31:17.6505007Z * 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
2025-12-04T09:31:17.6506811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-12-04T09:31:17.6508667Z * 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
2025-12-04T09:31:17.6510740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-12-04T09:31:17.6512662Z * 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
2025-12-04T09:31:17.6514631Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-12-04T09:31:17.6516564Z * 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
2025-12-04T09:31:17.6518529Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-12-04T09:31:17.6520465Z * 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
2025-12-04T09:31:17.6578970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-12-04T09:31:17.6581034Z * 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
2025-12-04T09:31:17.6593515Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-12-04T09:31:17.6609669Z * 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
2025-12-04T09:31:17.6612181Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-12-04T09:31:17.6614338Z * 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
2025-12-04T09:31:17.6616447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-12-04T09:31:17.6618389Z * 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
2025-12-04T09:31:17.6620240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-12-04T09:31:17.6622013Z * 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
2025-12-04T09:31:17.6623764Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0
2025-12-04T09:31:17.6625968Z * 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
2025-12-04T09:31:17.6643890Z * 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
2025-12-04T09:31:17.6645747Z * 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
2025-12-04T09:31:17.6647572Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-12-04T09:31:17.6649350Z * 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
2025-12-04T09:31:17.6650833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-12-04T09:31:17.6652309Z * 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
2025-12-04T09:31:17.6653853Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-12-04T09:31:17.6655441Z * 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
2025-12-04T09:31:17.6657104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0
2025-12-04T09:31:17.6658591Z * 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
2025-12-04T09:31:17.6659987Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-12-04T09:31:17.6661402Z * 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
2025-12-04T09:31:17.6667603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-12-04T09:31:17.6669184Z * 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
2025-12-04T09:31:17.6675543Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-12-04T09:31:17.6677046Z * 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
2025-12-04T09:31:17.6682454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-12-04T09:31:17.6683998Z * 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
2025-12-04T09:31:17.6689221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-12-04T09:31:17.6690670Z * 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
2025-12-04T09:31:17.6692003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-12-04T09:31:17.6693351Z * 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
2025-12-04T09:31:17.6694778Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-12-04T09:31:17.6696122Z * 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
2025-12-04T09:31:17.6697454Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-12-04T09:31:17.6698926Z * 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
2025-12-04T09:31:17.6700316Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-12-04T09:31:17.6701659Z * 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
2025-12-04T09:31:17.6703065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-12-04T09:31:17.6704446Z * 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
2025-12-04T09:31:17.6705815Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-12-04T09:31:17.6707215Z * 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
2025-12-04T09:31:17.6708706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-12-04T09:31:17.6710242Z * 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
2025-12-04T09:31:17.6711861Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-12-04T09:31:17.6713493Z * 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
2025-12-04T09:31:17.6714902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-12-04T09:31:17.6716320Z * 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
2025-12-04T09:31:17.6717767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-12-04T09:31:17.6719171Z * 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
2025-12-04T09:31:17.6720571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-12-04T09:31:17.6721998Z * 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
2025-12-04T09:31:17.6723384Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-12-04T09:31:17.6724742Z * 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
2025-12-04T09:31:17.6726123Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-12-04T09:31:17.6727482Z * 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
2025-12-04T09:31:17.6728892Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-12-04T09:31:17.6730257Z * 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
2025-12-04T09:31:17.6731713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-12-04T09:31:17.6733065Z * 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
2025-12-04T09:31:17.6734416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-12-04T09:31:17.6735752Z * 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
2025-12-04T09:31:17.6737109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-12-04T09:31:17.6738566Z * 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
2025-12-04T09:31:17.6740198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0
2025-12-04T09:31:17.6741763Z * 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
2025-12-04T09:31:17.6743393Z * 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
2025-12-04T09:31:17.6745021Z * 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
2025-12-04T09:31:17.6746576Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0
2025-12-04T09:31:17.6748374Z * 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
2025-12-04T09:31:17.6750441Z * 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
2025-12-04T09:31:17.6752484Z * 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
2025-12-04T09:31:17.6754571Z * 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
2025-12-04T09:31:17.6756618Z * 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
2025-12-04T09:31:17.6758702Z * 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
2025-12-04T09:31:17.6760765Z * 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
2025-12-04T09:31:17.6762983Z * 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
2025-12-04T09:31:17.6764886Z * 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
2025-12-04T09:31:17.6766518Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-12-04T09:31:17.6768104Z * 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
2025-12-04T09:31:17.6769707Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-12-04T09:31:17.6771260Z * 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
2025-12-04T09:31:17.6772836Z * 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
2025-12-04T09:31:17.6774430Z * 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
2025-12-04T09:31:17.6776100Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-12-04T09:31:17.6777547Z * 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
2025-12-04T09:31:17.6779151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-12-04T09:31:17.6780408Z * 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
2025-12-04T09:31:17.6781659Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-12-04T09:31:17.6782887Z * 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
2025-12-04T09:31:17.6784156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-12-04T09:31:17.6785387Z * 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
2025-12-04T09:31:17.6786638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-12-04T09:31:17.6787967Z * 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
2025-12-04T09:31:17.6789408Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-12-04T09:31:17.6790831Z * 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
2025-12-04T09:31:17.6792268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-12-04T09:31:17.6793679Z * 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
2025-12-04T09:31:17.6795050Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-12-04T09:31:17.6796475Z * 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
2025-12-04T09:31:17.6798119Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-12-04T09:31:17.6799615Z * 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
2025-12-04T09:31:17.6801121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-12-04T09:31:17.6802546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file
2025-12-04T09:31:17.6803779Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0
2025-12-04T09:31:17.6804971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file
2025-12-04T09:31:17.6806178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vjp:0
2025-12-04T09:31:17.6807339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file
2025-12-04T09:31:17.6808535Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jvp:0
2025-12-04T09:31:17.6809738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file
2025-12-04T09:31:17.6811079Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::jacobian:0
2025-12-04T09:31:17.6812283Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file
2025-12-04T09:31:17.6813530Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0
2025-12-04T09:31:17.6814728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file
2025-12-04T09:31:17.6815926Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0
2025-12-04T09:31:17.6817101Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file
2025-12-04T09:31:17.6818308Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0
2025-12-04T09:31:17.6819473Z * 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
2025-12-04T09:31:17.6820841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-12-04T09:31:17.6822057Z * 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
2025-12-04T09:31:17.6823359Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-12-04T09:31:17.6824627Z * 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
2025-12-04T09:31:17.6825933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-12-04T09:31:17.6827216Z * 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
2025-12-04T09:31:17.6828633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-12-04T09:31:17.6829996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file
2025-12-04T09:31:17.6831196Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0
2025-12-04T09:31:17.6832419Z * 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
2025-12-04T09:31:17.6833708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-12-04T09:31:17.6835005Z * 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
2025-12-04T09:31:17.6836332Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-12-04T09:31:17.6837618Z * 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
2025-12-04T09:31:17.6838915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-12-04T09:31:17.6840127Z * 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
2025-12-04T09:31:17.6841383Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-12-04T09:31:17.6842853Z * 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
2025-12-04T09:31:17.6844251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-12-04T09:31:17.6845573Z * 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
2025-12-04T09:31:17.6846936Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-12-04T09:31:17.6848301Z * 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
2025-12-04T09:31:17.6866722Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-12-04T09:31:17.6868041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-12-04T09:31:17.6869257Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0
2025-12-04T09:31:17.6870504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file
2025-12-04T09:31:17.6871800Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0
2025-12-04T09:31:17.6873027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file
2025-12-04T09:31:17.6874248Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-12-04T09:31:17.6875446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file
2025-12-04T09:31:17.6876794Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-12-04T09:31:17.6878160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file
2025-12-04T09:31:17.6879450Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0
2025-12-04T09:31:17.6880650Z * 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
2025-12-04T09:31:17.6881923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-12-04T09:31:17.6883139Z * 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
2025-12-04T09:31:17.6884372Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-12-04T09:31:17.6885505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file
2025-12-04T09:31:17.6886613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0
2025-12-04T09:31:17.6887765Z * 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
2025-12-04T09:31:17.6888998Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-12-04T09:31:17.6890329Z * 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
2025-12-04T09:31:17.6891577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-12-04T09:31:17.6892787Z * 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
2025-12-04T09:31:17.6894015Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-12-04T09:31:17.6895297Z * 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
2025-12-04T09:31:17.6896657Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-12-04T09:31:17.6897907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-12-04T09:31:17.6899076Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0
2025-12-04T09:31:17.6900376Z * 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
2025-12-04T09:31:17.6901830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0
2025-12-04T09:31:17.6903258Z * 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
2025-12-04T09:31:17.6904715Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0
2025-12-04T09:31:17.6906164Z * 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
2025-12-04T09:31:17.6907730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0
2025-12-04T09:31:17.6909111Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file
2025-12-04T09:31:17.6910435Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-12-04T09:31:17.6911814Z * 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
2025-12-04T09:31:17.6913290Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-12-04T09:31:17.6914676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file
2025-12-04T09:31:17.6916088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0
2025-12-04T09:31:17.6917494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file
2025-12-04T09:31:17.6918963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-12-04T09:31:17.6920361Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2754 <- wrt source file
2025-12-04T09:31:17.6921921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-12-04T09:31:17.6923336Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0, line 2801 <- wrt source file
2025-12-04T09:31:17.6924799Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::batch_isend_irecv:0
2025-12-04T09:31:17.6926189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0, line 2938 <- wrt source file
2025-12-04T09:31:17.6927557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_reduce:0
2025-12-04T09:31:17.6928940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3221 <- wrt source file
2025-12-04T09:31:17.6930386Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-12-04T09:31:17.6931783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0, line 3325 <- wrt source file
2025-12-04T09:31:17.6933192Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::gather_object:0
2025-12-04T09:31:17.6934565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3457 <- wrt source file
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2025-12-04T09:31:17.6982503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file
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2025-12-04T09:31:17.6985289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file
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2025-12-04T09:31:17.6988424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/contract.py::contract:0, line 67 <- wrt source file
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2025-12-04T09:31:17.6991182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
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2025-12-04T09:31:17.6994039Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0, line 265 <- wrt source file
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2025-12-04T09:31:17.6997149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file
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2025-12-04T09:31:17.7016625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharding_plan/api.py::ShardingPlan:0, line 36 <- wrt source file
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2025-12-04T09:31:17.7019589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0, line 275 <- wrt source file
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2025-12-04T09:31:17.7025552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get_nbi:0, line 378 <- wrt source file
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2025-12-04T09:31:17.7028586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::putmem_signal_block:0, line 453 <- wrt source file
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2025-12-04T09:31:17.7031723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0, line 531 <- wrt source file
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2025-12-04T09:31:17.7035014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_wait_until:0, line 593 <- wrt source file
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2025-12-04T09:31:17.7041235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::fence:0, line 704 <- wrt source file
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2025-12-04T09:31:17.7053170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::barrier_all:0, line 888 <- wrt source file
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2025-12-04T09:31:17.7056202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::sync_all:0, line 934 <- wrt source file
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2025-12-04T09:31:17.7059188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::alltoall:0, line 973 <- wrt source file
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2025-12-04T09:31:17.7062206Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::broadcast:0, line 1028 <- wrt source file
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2025-12-04T09:31:17.7068297Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::reduce_extern_wrapper:0, line 1135 <- wrt source file
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2025-12-04T09:31:17.7071524Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
2025-12-04T09:31:17.7073013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0
2025-12-04T09:31:17.7074358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-12-04T09:31:17.7075669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-12-04T09:31:17.7077130Z * 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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2025-12-04T09:31:17.7083895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 51 <- wrt source file
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2025-12-04T09:31:17.7090690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 131 <- wrt source file
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2025-12-04T09:31:17.7094076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 149 <- wrt source file
2025-12-04T09:31:17.7095811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0
2025-12-04T09:31:17.7097486Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 188 <- wrt source file
2025-12-04T09:31:17.7099215Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0
2025-12-04T09:31:17.7100910Z * 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
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2025-12-04T09:31:17.7107739Z * 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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2025-12-04T09:31:17.7111240Z * 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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2025-12-04T09:31:17.7114929Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 146 <- wrt source file
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2025-12-04T09:31:17.7118656Z * 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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2025-12-04T09:31:17.7122300Z * 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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2025-12-04T09:31:17.7126082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0, line 49 <- wrt source file
2025-12-04T09:31:17.7127774Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::BroadcastingTorchSaveReader:0
2025-12-04T09:31:17.7129396Z * 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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2025-12-04T09:31:17.7132621Z * 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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2025-12-04T09:31:17.7135859Z * 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
2025-12-04T09:31:17.7137411Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0
2025-12-04T09:31:17.7138898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1531 <- wrt source file
2025-12-04T09:31:17.7140463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-12-04T09:31:17.7142029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1590 <- wrt source file
2025-12-04T09:31:17.7143647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-12-04T09:31:17.7145145Z * 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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2025-12-04T09:31:17.7147989Z * 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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2025-12-04T09:31:17.7150846Z * 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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2025-12-04T09:31:17.7153934Z * 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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2025-12-04T09:31:17.7157187Z * 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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2025-12-04T09:31:17.7160514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 139 <- wrt source file
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2025-12-04T09:31:17.7163948Z * 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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2025-12-04T09:31:17.7167358Z * 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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2025-12-04T09:31:17.7170888Z * 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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2025-12-04T09:31:17.7174322Z * 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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2025-12-04T09:31:17.7177899Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 211 <- wrt source file
2025-12-04T09:31:17.7179583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-12-04T09:31:17.7181205Z * 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
2025-12-04T09:31:17.7182873Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/elastic/events/__init__.py::construct_and_record_rdzv_event:0
2025-12-04T09:31:17.7184497Z * 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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2025-12-04T09:31:17.7187857Z * 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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2025-12-04T09:31:17.7190781Z * 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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2025-12-04T09:31:17.7193401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
2025-12-04T09:31:17.7194725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py::StateDictType:0
2025-12-04T09:31:17.7196235Z * 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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2025-12-04T09:31:17.7199695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0, line 651 <- wrt source file
2025-12-04T09:31:17.7201587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.set_state_dict_type:0
2025-12-04T09:31:17.7203509Z * 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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2025-12-04T09:31:17.7207355Z * 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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2025-12-04T09:31:17.7211337Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1633 <- wrt source file
2025-12-04T09:31:17.7213344Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0
2025-12-04T09:31:17.7215298Z * 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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2025-12-04T09:31:17.7219110Z * 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
2025-12-04T09:31:17.7221074Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict:0
2025-12-04T09:31:17.7222969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0, line 1937 <- wrt source file
2025-12-04T09:31:17.7224917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.optim_state_dict_to_load:0
2025-12-04T09:31:17.7226626Z * 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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2025-12-04T09:31:17.7229569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 227 <- wrt source file
2025-12-04T09:31:17.7230888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0
2025-12-04T09:31:17.7232226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
2025-12-04T09:31:17.7233617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-12-04T09:31:17.7235063Z * 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
2025-12-04T09:31:17.7236610Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::_RemoteModule.__init__:0
2025-12-04T09:31:17.7238246Z * 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
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2025-12-04T09:31:17.7241438Z * 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
2025-12-04T09:31:17.7243016Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py::RemoteModule:0
2025-12-04T09:31:17.7244584Z * 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
2025-12-04T09:31:17.7246319Z * 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
2025-12-04T09:31:17.7248008Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
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2025-12-04T09:31:17.7251267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
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2025-12-04T09:31:17.7254297Z * 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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2025-12-04T09:31:17.7257335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0, line 19 <- wrt source file
2025-12-04T09:31:17.7259001Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py::PostLocalSGDOptimizer:0
2025-12-04T09:31:17.7260527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-12-04T09:31:17.7262005Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2025-12-04T09:31:17.7263580Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0, line 341 <- wrt source file
2025-12-04T09:31:17.7265272Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py::ZeroRedundancyOptimizer:0
2025-12-04T09:31:17.7266747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 345 <- wrt source file
2025-12-04T09:31:17.7268097Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0
2025-12-04T09:31:17.7269497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0, line 36 <- wrt source file
2025-12-04T09:31:17.7270988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::_CustomReducer:0
2025-12-04T09:31:17.7272572Z * 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
2025-12-04T09:31:17.7274201Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-12-04T09:31:17.7275803Z * 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
2025-12-04T09:31:17.7277429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-12-04T09:31:17.7278958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file
2025-12-04T09:31:17.7280206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::_wait_all:0
2025-12-04T09:31:17.7281423Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 343 <- wrt source file
2025-12-04T09:31:17.7282748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-12-04T09:31:17.7283949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0, line 605 <- wrt source file
2025-12-04T09:31:17.7285308Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::remote:0
2025-12-04T09:31:17.7286510Z * 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
2025-12-04T09:31:17.7287754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0
2025-12-04T09:31:17.7288974Z * 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
2025-12-04T09:31:17.7290205Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-12-04T09:31:17.7291508Z * 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
2025-12-04T09:31:17.7292905Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0
2025-12-04T09:31:17.7294564Z * 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
2025-12-04T09:31:17.7296240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0
2025-12-04T09:31:17.7297923Z * 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
2025-12-04T09:31:17.7299678Z * 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
2025-12-04T09:31:17.7301185Z * 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
2025-12-04T09:31:17.7302527Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_api.py::_shard_tensor:0
2025-12-04T09:31:17.7303998Z * 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
2025-12-04T09:31:17.7305713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::ShardOrderEntry:0
2025-12-04T09:31:17.7307326Z * 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
2025-12-04T09:31:17.7309128Z * 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
2025-12-04T09:31:17.7310905Z * 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
2025-12-04T09:31:17.7312749Z * 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
2025-12-04T09:31:17.7314465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0, line 461 <- wrt source file
2025-12-04T09:31:17.7316124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_dtensor_spec.py::DTensorSpec.format_shard_order_str:0
2025-12-04T09:31:17.7317756Z * 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
2025-12-04T09:31:17.7319486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_random.py::OffsetBasedRNGTracker._set_pre_op_offset:0
2025-12-04T09:31:17.7321047Z * 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
2025-12-04T09:31:17.7322634Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/_ops/_common_rules.py::pointwise_rule:0
2025-12-04T09:31:17.7324127Z * 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
2025-12-04T09:31:17.7325677Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_func_map.py::local_map:0
2025-12-04T09:31:17.7327251Z * 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
2025-12-04T09:31:17.7328961Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/experimental/_register_sharding.py::register_sharding:0
2025-12-04T09:31:17.7330765Z * 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
2025-12-04T09:31:17.7332737Z * 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
2025-12-04T09:31:17.7334748Z * 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
2025-12-04T09:31:17.7336827Z * 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
2025-12-04T09:31:17.7339009Z * 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
2025-12-04T09:31:17.7341773Z * 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
2025-12-04T09:31:17.7344564Z * 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
2025-12-04T09:31:17.7347320Z * 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
2025-12-04T09:31:17.7350016Z * 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
2025-12-04T09:31:17.7352768Z * 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
2025-12-04T09:31:17.7355127Z * 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
2025-12-04T09:31:17.7357280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/api.py::parallelize_module:0
2025-12-04T09:31:17.7359322Z * 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
2025-12-04T09:31:17.7361422Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0
2025-12-04T09:31:17.7363491Z * 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
2025-12-04T09:31:17.7365471Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0
2025-12-04T09:31:17.7367459Z * 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
2025-12-04T09:31:17.7369510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
2025-12-04T09:31:17.7371506Z * 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
2025-12-04T09:31:17.7373569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
2025-12-04T09:31:17.7375596Z * 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
2025-12-04T09:31:17.7377848Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0
2025-12-04T09:31:17.7380009Z * 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
2025-12-04T09:31:17.7382136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0
2025-12-04T09:31:17.7384402Z * 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
2025-12-04T09:31:17.7386167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0
2025-12-04T09:31:17.7387746Z * 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
2025-12-04T09:31:17.7389376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0
2025-12-04T09:31:17.7390818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-12-04T09:31:17.7392126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-12-04T09:31:17.7393350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-12-04T09:31:17.7394529Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0
2025-12-04T09:31:17.7395750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-12-04T09:31:17.7397028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0
2025-12-04T09:31:17.7398424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-12-04T09:31:17.7399776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0
2025-12-04T09:31:17.7401056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-12-04T09:31:17.7402394Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-12-04T09:31:17.7403581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-12-04T09:31:17.7404770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0
2025-12-04T09:31:17.7406024Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file
2025-12-04T09:31:17.7407397Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-12-04T09:31:17.7408791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file
2025-12-04T09:31:17.7410236Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-12-04T09:31:17.7411694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-12-04T09:31:17.7413298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-12-04T09:31:17.7414702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file
2025-12-04T09:31:17.7416099Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-12-04T09:31:17.7417414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-12-04T09:31:17.7418771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0
2025-12-04T09:31:17.7420151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-12-04T09:31:17.7421593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-12-04T09:31:17.7422881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-12-04T09:31:17.7424082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0
2025-12-04T09:31:17.7425432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-12-04T09:31:17.7426945Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-12-04T09:31:17.7428323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-12-04T09:31:17.7429697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0
2025-12-04T09:31:17.7430930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-12-04T09:31:17.7432165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-12-04T09:31:17.7433429Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-12-04T09:31:17.7434770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-12-04T09:31:17.7436057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-12-04T09:31:17.7437390Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-12-04T09:31:17.7438720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-12-04T09:31:17.7440088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0
2025-12-04T09:31:17.7441420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-12-04T09:31:17.7442886Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-12-04T09:31:17.7444234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-12-04T09:31:17.7445596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-12-04T09:31:17.7446870Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-12-04T09:31:17.7448184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0
2025-12-04T09:31:17.7449461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-12-04T09:31:17.7450839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-12-04T09:31:17.7452145Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-12-04T09:31:17.7453442Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-12-04T09:31:17.7454791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-12-04T09:31:17.7456238Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-12-04T09:31:17.7457792Z * 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
2025-12-04T09:31:17.7459485Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0
2025-12-04T09:31:17.7461051Z * 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
2025-12-04T09:31:17.7462621Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0
2025-12-04T09:31:17.7464038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-12-04T09:31:17.7465399Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-12-04T09:31:17.7466823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-12-04T09:31:17.7468370Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-12-04T09:31:17.7469729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-12-04T09:31:17.7470972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0
2025-12-04T09:31:17.7472368Z * 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
2025-12-04T09:31:17.7473904Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-12-04T09:31:17.7475255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-12-04T09:31:17.7476551Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0
2025-12-04T09:31:17.7477983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-12-04T09:31:17.7479239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0
2025-12-04T09:31:17.7480742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file
2025-12-04T09:31:17.7482304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0
2025-12-04T09:31:17.7483833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file
2025-12-04T09:31:17.7485424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0
2025-12-04T09:31:17.7486834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-12-04T09:31:17.7488115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0
2025-12-04T09:31:17.7489434Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file
2025-12-04T09:31:17.7490806Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-12-04T09:31:17.7492154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file
2025-12-04T09:31:17.7493557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-12-04T09:31:17.7495138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file
2025-12-04T09:31:17.7496762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-12-04T09:31:17.7498143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-12-04T09:31:17.7499401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0
2025-12-04T09:31:17.7500641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-12-04T09:31:17.7501931Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-12-04T09:31:17.7503200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file
2025-12-04T09:31:17.7529487Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-12-04T09:31:17.7530741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-12-04T09:31:17.7536280Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0
2025-12-04T09:31:17.7537513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-12-04T09:31:17.7538791Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0
2025-12-04T09:31:17.7540068Z * 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
2025-12-04T09:31:17.7541416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0
2025-12-04T09:31:17.7542781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file
2025-12-04T09:31:17.7544013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-12-04T09:31:17.7545276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 737 <- wrt source file
2025-12-04T09:31:17.7546646Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-12-04T09:31:17.7547993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 753 <- wrt source file
2025-12-04T09:31:17.7549352Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-12-04T09:31:17.7550672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 837 <- wrt source file
2025-12-04T09:31:17.7552028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-12-04T09:31:17.7553249Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0, line 104 <- wrt source file
2025-12-04T09:31:17.7554405Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::_snake_case:0
2025-12-04T09:31:17.7555673Z * 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
2025-12-04T09:31:17.7556949Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-12-04T09:31:17.7558232Z * 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
2025-12-04T09:31:17.7559486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-12-04T09:31:17.7560716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0, line 75 <- wrt source file
2025-12-04T09:31:17.7561988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Interpreter:0
2025-12-04T09:31:17.7563204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0, line 519 <- wrt source file
2025-12-04T09:31:17.7564435Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py::Transformer:0
2025-12-04T09:31:17.7565695Z * 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
2025-12-04T09:31:17.7567006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0
2025-12-04T09:31:17.7568240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
2025-12-04T09:31:17.7569430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::TensorType:0
2025-12-04T09:31:17.7570621Z * 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
2025-12-04T09:31:17.7571821Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_consistent:0
2025-12-04T09:31:17.7573082Z * 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
2025-12-04T09:31:17.7574327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/tensor_type.py::is_more_precise:0
2025-12-04T09:31:17.7575508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0, line 300 <- wrt source file
2025-12-04T09:31:17.7576695Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate:0
2025-12-04T09:31:17.7577995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0, line 344 <- wrt source file
2025-12-04T09:31:17.7579215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/traceback.py::annotate_fn:0
2025-12-04T09:31:17.7580562Z * 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
2025-12-04T09:31:17.7582085Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-12-04T09:31:17.7583500Z * 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
2025-12-04T09:31:17.7584878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-12-04T09:31:17.7586410Z * 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
2025-12-04T09:31:17.7587908Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-12-04T09:31:17.7589330Z * 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
2025-12-04T09:31:17.7590759Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-12-04T09:31:17.7592162Z * 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
2025-12-04T09:31:17.7593607Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-12-04T09:31:17.7595037Z * 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
2025-12-04T09:31:17.7596478Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-12-04T09:31:17.7597947Z * 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
2025-12-04T09:31:17.7602689Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-12-04T09:31:17.7604223Z * 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
2025-12-04T09:31:17.7606667Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-12-04T09:31:17.7608203Z * 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
2025-12-04T09:31:17.7610403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-12-04T09:31:17.7611926Z * 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
2025-12-04T09:31:17.7614082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-12-04T09:31:17.7615607Z * 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
2025-12-04T09:31:17.7617479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-12-04T09:31:17.7619025Z * 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
2025-12-04T09:31:17.7622255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
2025-12-04T09:31:17.7623825Z * 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
2025-12-04T09:31:17.7626908Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-12-04T09:31:17.7628548Z * 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
2025-12-04T09:31:17.7632088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-12-04T09:31:17.7633630Z * 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
2025-12-04T09:31:17.7635473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-12-04T09:31:17.7637074Z * 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
2025-12-04T09:31:17.7640736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-12-04T09:31:17.7642347Z * 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
2025-12-04T09:31:17.7644966Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc_in:0
2025-12-04T09:31:17.7646688Z * 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
2025-12-04T09:31:17.7652741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::update_in:0
2025-12-04T09:31:17.7654257Z * 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
2025-12-04T09:31:17.7662060Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::get_in:0
2025-12-04T09:31:17.7663733Z * 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
2025-12-04T09:31:17.7666495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::groupby:0
2025-12-04T09:31:17.7668016Z * 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
2025-12-04T09:31:17.7669567Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-12-04T09:31:17.7671052Z * 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
2025-12-04T09:31:17.7674169Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-12-04T09:31:17.7675600Z * 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
2025-12-04T09:31:17.7677047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-12-04T09:31:17.7678594Z * 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
2025-12-04T09:31:17.7680076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-12-04T09:31:17.7681635Z * 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
2025-12-04T09:31:17.7683151Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-12-04T09:31:17.7684572Z * 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
2025-12-04T09:31:17.7686070Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-12-04T09:31:17.7687599Z * 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
2025-12-04T09:31:17.7689527Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-12-04T09:31:17.7691199Z * 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
2025-12-04T09:31:17.7692969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
2025-12-04T09:31:17.7694721Z * 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
2025-12-04T09:31:17.7696572Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.register:0
2025-12-04T09:31:17.7698360Z * 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
2025-12-04T09:31:17.7700153Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0
2025-12-04T09:31:17.7702047Z * 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
2025-12-04T09:31:17.7703918Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-12-04T09:31:17.7705691Z * 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
2025-12-04T09:31:17.7707462Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-12-04T09:31:17.7709161Z * 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
2025-12-04T09:31:17.7710854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-12-04T09:31:17.7712502Z * 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
2025-12-04T09:31:17.7714138Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-12-04T09:31:17.7715767Z * 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
2025-12-04T09:31:17.7717513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-12-04T09:31:17.7719145Z * 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
2025-12-04T09:31:17.7720771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-12-04T09:31:17.7722469Z * 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
2025-12-04T09:31:17.7724144Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-12-04T09:31:17.7725789Z * 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
2025-12-04T09:31:17.7727503Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0
2025-12-04T09:31:17.7729148Z * 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
2025-12-04T09:31:17.7730836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0
2025-12-04T09:31:17.7732368Z * 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
2025-12-04T09:31:17.7774302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-12-04T09:31:17.7775653Z * 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
2025-12-04T09:31:17.7777006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-12-04T09:31:17.7778407Z * 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
2025-12-04T09:31:17.7779724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-12-04T09:31:17.7781286Z * 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
2025-12-04T09:31:17.7783095Z * 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
2025-12-04T09:31:17.7784653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file
2025-12-04T09:31:17.7786060Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-12-04T09:31:17.7787441Z * 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
2025-12-04T09:31:17.7788839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-12-04T09:31:17.7790393Z * 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
2025-12-04T09:31:17.7791857Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-12-04T09:31:17.7793243Z * 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
2025-12-04T09:31:17.7794605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-12-04T09:31:17.7795854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file
2025-12-04T09:31:17.7807587Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0
2025-12-04T09:31:17.7808993Z * 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
2025-12-04T09:31:17.7810394Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-12-04T09:31:17.7811800Z * 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
2025-12-04T09:31:17.7869531Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-12-04T09:31:17.7871449Z * 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
2025-12-04T09:31:17.8787617Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-12-04T09:31:17.8812075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file
2025-12-04T09:31:17.8836003Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-12-04T09:31:17.8837648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file
2025-12-04T09:31:17.8854886Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0
2025-12-04T09:31:17.8856507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file
2025-12-04T09:31:17.8908527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0
2025-12-04T09:31:17.8910158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file
2025-12-04T09:31:17.8944847Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0
2025-12-04T09:31:17.8946454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file
2025-12-04T09:31:17.8961063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0
2025-12-04T09:31:17.8962785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file
2025-12-04T09:31:17.8972141Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0
2025-12-04T09:31:17.8974093Z * 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
2025-12-04T09:31:17.8989498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-12-04T09:31:17.8991337Z * 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
2025-12-04T09:31:17.9027971Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-12-04T09:31:17.9029676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file
2025-12-04T09:31:17.9040038Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0
2025-12-04T09:31:17.9041559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-12-04T09:31:17.9085988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0
2025-12-04T09:31:17.9087139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-12-04T09:31:17.9092270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-12-04T09:31:17.9093398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-12-04T09:31:17.9111828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0
2025-12-04T09:31:17.9113358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-12-04T09:31:17.9118258Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-12-04T09:31:17.9119790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-12-04T09:31:17.9972157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0
2025-12-04T09:31:17.9974088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-12-04T09:31:18.0023029Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-12-04T09:31:18.0025100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file
2025-12-04T09:31:18.0027602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0
2025-12-04T09:31:18.0029082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file
2025-12-04T09:31:18.0032253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0
2025-12-04T09:31:18.0033718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file
2025-12-04T09:31:18.0036379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0
2025-12-04T09:31:18.0037885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file
2025-12-04T09:31:18.0059969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0
2025-12-04T09:31:18.0061741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file
2025-12-04T09:31:18.0064409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0
2025-12-04T09:31:18.0065496Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file
2025-12-04T09:31:18.0068883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0
2025-12-04T09:31:18.0069947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file
2025-12-04T09:31:18.0073151Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0
2025-12-04T09:31:18.0074199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file
2025-12-04T09:31:18.0078137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0
2025-12-04T09:31:18.0079183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file
2025-12-04T09:31:18.0084182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0
2025-12-04T09:31:18.0085296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file
2025-12-04T09:31:18.0088450Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-12-04T09:31:18.0089585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file
2025-12-04T09:31:18.0092979Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0
2025-12-04T09:31:18.0094187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file
2025-12-04T09:31:18.0097087Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-12-04T09:31:18.0098470Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file
2025-12-04T09:31:18.0101113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-12-04T09:31:18.0102466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file
2025-12-04T09:31:18.0103695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0
2025-12-04T09:31:18.0104825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file
2025-12-04T09:31:18.0108183Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0
2025-12-04T09:31:18.0109663Z * 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
2025-12-04T09:31:18.0111186Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-12-04T09:31:18.0112768Z * 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
2025-12-04T09:31:18.0114341Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0
2025-12-04T09:31:18.0116091Z * 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
2025-12-04T09:31:18.0117650Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0
2025-12-04T09:31:18.0119197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file
2025-12-04T09:31:18.0120544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-12-04T09:31:18.0121886Z * 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
2025-12-04T09:31:18.0123188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0
2025-12-04T09:31:18.0124461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-12-04T09:31:18.0125768Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-12-04T09:31:18.0127263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-12-04T09:31:18.0128552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-12-04T09:31:18.0129775Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-12-04T09:31:18.0132513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-12-04T09:31:18.0133781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-12-04T09:31:18.0137653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-12-04T09:31:18.0139020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-12-04T09:31:18.0142418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-12-04T09:31:18.0143664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-12-04T09:31:18.0146948Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-12-04T09:31:18.0148229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-12-04T09:31:18.0152215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-12-04T09:31:18.0153484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-12-04T09:31:18.0156602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-12-04T09:31:18.0173320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-12-04T09:31:18.0174894Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-12-04T09:31:18.0176509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-12-04T09:31:18.0178006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0
2025-12-04T09:31:18.0179270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-12-04T09:31:18.0180674Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-12-04T09:31:18.0182020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-12-04T09:31:18.0183262Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0
2025-12-04T09:31:18.0184463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-12-04T09:31:18.0185857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0
2025-12-04T09:31:18.0187132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-12-04T09:31:18.0188366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0
2025-12-04T09:31:18.0189558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-12-04T09:31:18.0191079Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0
2025-12-04T09:31:18.0192286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-12-04T09:31:18.0334322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0
2025-12-04T09:31:18.0336357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-12-04T09:31:18.0340825Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-12-04T09:31:18.0342563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-12-04T09:31:18.0350701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-12-04T09:31:18.0352453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-12-04T09:31:18.0355651Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-12-04T09:31:18.0357380Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-12-04T09:31:18.0360833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-12-04T09:31:18.0362639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-12-04T09:31:18.0365766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-12-04T09:31:18.0367615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file
2025-12-04T09:31:18.0369758Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-12-04T09:31:18.0371533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file
2025-12-04T09:31:18.0382792Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-12-04T09:31:18.0384492Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file
2025-12-04T09:31:18.0387799Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-12-04T09:31:18.0389506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file
2025-12-04T09:31:18.0392877Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-12-04T09:31:18.0394578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file
2025-12-04T09:31:18.0398922Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-12-04T09:31:18.0400606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file
2025-12-04T09:31:18.0403611Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-12-04T09:31:18.0405312Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file
2025-12-04T09:31:18.0408638Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-12-04T09:31:18.0410369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file
2025-12-04T09:31:18.0414252Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-12-04T09:31:18.0415961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file
2025-12-04T09:31:18.0485240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-12-04T09:31:18.0486958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file
2025-12-04T09:31:18.0755091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-12-04T09:31:18.0756826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file
2025-12-04T09:31:18.3310466Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-12-04T09:31:18.3456968Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file
2025-12-04T09:31:18.3458869Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0
2025-12-04T09:31:18.3460555Z * 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
2025-12-04T09:31:18.3462402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0
2025-12-04T09:31:18.3463886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-12-04T09:31:18.3486228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-12-04T09:31:18.3488012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-12-04T09:31:18.3489753Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0
2025-12-04T09:31:18.3491508Z * 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
2025-12-04T09:31:18.3498883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-12-04T09:31:18.3500712Z * 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
2025-12-04T09:31:18.3508739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-12-04T09:31:18.3510562Z * 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
2025-12-04T09:31:18.3520124Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-12-04T09:31:18.3521430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file
2025-12-04T09:31:18.3522876Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-12-04T09:31:18.3524379Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file
2025-12-04T09:31:18.3525684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-12-04T09:31:18.3526952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file
2025-12-04T09:31:18.3528277Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-12-04T09:31:18.3529572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file
2025-12-04T09:31:18.3530896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-12-04T09:31:18.3532308Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-12-04T09:31:18.3533661Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-12-04T09:31:18.3534977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-12-04T09:31:18.3542785Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-12-04T09:31:18.3544036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-12-04T09:31:18.3548847Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-12-04T09:31:18.3550071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-12-04T09:31:18.3555625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-12-04T09:31:18.3556849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-12-04T09:31:18.3582623Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-12-04T09:31:18.3584284Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-12-04T09:31:18.3666188Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-12-04T09:31:18.3668150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-12-04T09:31:18.3672632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-12-04T09:31:18.3674408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-12-04T09:31:18.3757170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-12-04T09:31:18.3759175Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file
2025-12-04T09:31:18.3766454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-12-04T09:31:18.3768087Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file
2025-12-04T09:31:18.3787618Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0
2025-12-04T09:31:18.3789203Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-12-04T09:31:18.3800218Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0
2025-12-04T09:31:18.3801360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-12-04T09:31:18.3845788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-12-04T09:31:18.3847483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file
2025-12-04T09:31:18.3861516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-12-04T09:31:18.3863363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file
2025-12-04T09:31:18.4066929Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-12-04T09:31:18.4069074Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file
2025-12-04T09:31:18.6614002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-12-04T09:31:18.6762676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-12-04T09:31:18.6766756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-12-04T09:31:18.6767995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-12-04T09:31:18.6775706Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0
2025-12-04T09:31:18.6776926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-12-04T09:31:18.6796832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0
2025-12-04T09:31:18.6798044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-12-04T09:31:18.6819221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-12-04T09:31:18.6820405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file
2025-12-04T09:31:18.6828441Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-12-04T09:31:18.6829604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file
2025-12-04T09:31:18.6884492Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-12-04T09:31:18.6886169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file
2025-12-04T09:31:18.6892710Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-12-04T09:31:18.6894720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file
2025-12-04T09:31:18.6912052Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-12-04T09:31:18.6913759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file
2025-12-04T09:31:18.6921324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-12-04T09:31:18.6923081Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file
2025-12-04T09:31:18.6948763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-12-04T09:31:18.6950402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file
2025-12-04T09:31:18.6956562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-12-04T09:31:18.6958249Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file
2025-12-04T09:31:18.6971140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-12-04T09:31:18.6973244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file
2025-12-04T09:31:18.6978407Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-12-04T09:31:18.6980222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file
2025-12-04T09:31:18.6988901Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-12-04T09:31:18.6990652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file
2025-12-04T09:31:18.6999192Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-12-04T09:31:18.7000940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file
2025-12-04T09:31:18.7002787Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-12-04T09:31:18.7004561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file
2025-12-04T09:31:18.7013800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-12-04T09:31:18.7015575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file
2025-12-04T09:31:18.7022483Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-12-04T09:31:18.7024235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file
2025-12-04T09:31:18.7032664Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-12-04T09:31:18.7034619Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file
2025-12-04T09:31:18.7046650Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-12-04T09:31:18.7048036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file
2025-12-04T09:31:18.7072425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0
2025-12-04T09:31:18.7074570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file
2025-12-04T09:31:18.7103363Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0
2025-12-04T09:31:18.7105132Z * 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
2025-12-04T09:31:18.7107026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-12-04T09:31:18.7108808Z * 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
2025-12-04T09:31:18.7122588Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-12-04T09:31:18.7124583Z * 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
2025-12-04T09:31:18.7132143Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0
2025-12-04T09:31:18.7133871Z * 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
2025-12-04T09:31:18.7135691Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-12-04T09:31:18.7137454Z * 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
2025-12-04T09:31:18.7139265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-12-04T09:31:18.7141092Z * 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
2025-12-04T09:31:18.7142921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-12-04T09:31:18.7144251Z * 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
2025-12-04T09:31:18.7145544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-12-04T09:31:18.7146837Z * 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
2025-12-04T09:31:18.7148190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-12-04T09:31:18.7149539Z * 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
2025-12-04T09:31:18.7150898Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-12-04T09:31:18.7152367Z * 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
2025-12-04T09:31:18.7153670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-12-04T09:31:18.7154965Z * 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
2025-12-04T09:31:18.7156321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-12-04T09:31:18.7157690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-12-04T09:31:18.7202784Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-12-04T09:31:18.7205025Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-12-04T09:31:18.7235073Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-12-04T09:31:18.7237133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-12-04T09:31:18.7265837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-12-04T09:31:18.7267876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file
2025-12-04T09:31:18.7273893Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-12-04T09:31:18.7275633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-12-04T09:31:18.7293217Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-12-04T09:31:18.7294953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file
2025-12-04T09:31:18.7319983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-12-04T09:31:18.7321270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file
2025-12-04T09:31:19.3450249Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-12-04T09:31:19.3743806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file
2025-12-04T09:31:19.3755541Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-12-04T09:31:19.3756814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file
2025-12-04T09:31:19.3763828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-12-04T09:31:19.3765128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file
2025-12-04T09:31:19.3791319Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-12-04T09:31:19.3793445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file
2025-12-04T09:31:19.3834193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-12-04T09:31:19.3835970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file
2025-12-04T09:31:19.3852507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-12-04T09:31:19.3854292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file
2025-12-04T09:31:19.3863172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-12-04T09:31:19.3864991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file
2025-12-04T09:31:19.3881957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-12-04T09:31:19.3883755Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file
2025-12-04T09:31:19.3900255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-12-04T09:31:19.3902287Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file
2025-12-04T09:31:19.9076657Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-12-04T09:31:19.9379652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file
2025-12-04T09:31:19.9391240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-12-04T09:31:19.9392473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file
2025-12-04T09:31:19.9399075Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-12-04T09:31:19.9400322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file
2025-12-04T09:31:19.9426525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-12-04T09:31:19.9428290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-12-04T09:31:19.9433876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-12-04T09:31:19.9435702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-12-04T09:31:19.9441087Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-12-04T09:31:19.9442951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-12-04T09:31:19.9462112Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-12-04T09:31:19.9464140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-12-04T09:31:19.9527194Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-12-04T09:31:19.9528878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-12-04T09:31:20.1547336Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-12-04T09:31:20.1603706Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-12-04T09:31:20.1619308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-12-04T09:31:20.1621687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file
2025-12-04T09:31:20.1646120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0
2025-12-04T09:31:20.1648466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-12-04T09:31:20.2375139Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-12-04T09:31:20.2376873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-12-04T09:31:20.2397247Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-12-04T09:31:20.2398918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-12-04T09:31:20.2439625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-12-04T09:31:20.2441280Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-12-04T09:31:20.4191574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-12-04T09:31:20.4243000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-12-04T09:31:20.4291749Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-12-04T09:31:20.4293629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-12-04T09:31:20.4909381Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-12-04T09:31:20.4911183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file
2025-12-04T09:31:20.4918816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-12-04T09:31:20.4920481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file
2025-12-04T09:31:20.4972264Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-12-04T09:31:20.4974627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file
2025-12-04T09:31:20.7183201Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-12-04T09:31:20.7233292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file
2025-12-04T09:31:20.7258321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-12-04T09:31:20.7260117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file
2025-12-04T09:31:20.7270082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-12-04T09:31:20.7271918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file
2025-12-04T09:31:20.7296383Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-12-04T09:31:20.7298216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file
2025-12-04T09:31:20.7319230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-12-04T09:31:20.7321038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file
2025-12-04T09:31:20.7328950Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-12-04T09:31:20.7330766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file
2025-12-04T09:31:20.7351590Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-12-04T09:31:20.7353222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file
2025-12-04T09:31:20.7365831Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-12-04T09:31:20.7367348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file
2025-12-04T09:31:20.7988255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-12-04T09:31:20.7989774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file
2025-12-04T09:31:20.8010365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-12-04T09:31:20.8011930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file
2025-12-04T09:31:20.8024820Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-12-04T09:31:20.8025992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file
2025-12-04T09:31:20.8038310Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-12-04T09:31:20.8039478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file
2025-12-04T09:31:20.8054933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-12-04T09:31:20.8056136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-12-04T09:31:20.8071431Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-12-04T09:31:20.8072736Z * 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
2025-12-04T09:31:20.8078177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-12-04T09:31:20.8079516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file
2025-12-04T09:31:20.8107485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0
2025-12-04T09:31:20.8109325Z * 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
2025-12-04T09:31:20.8115604Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-12-04T09:31:20.8117451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file
2025-12-04T09:31:21.6431949Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-12-04T09:31:21.6447656Z * 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
2025-12-04T09:31:21.6449656Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0
2025-12-04T09:31:21.6451537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file
2025-12-04T09:31:21.7566428Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-12-04T09:31:21.7637425Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file
2025-12-04T09:31:22.0000333Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-12-04T09:31:22.0008005Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file
2025-12-04T09:31:22.0328075Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-12-04T09:31:22.0330407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file
2025-12-04T09:31:22.0903513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-12-04T09:31:22.0905661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-12-04T09:31:22.0971587Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-12-04T09:31:22.0973212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-12-04T09:31:22.0988472Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-12-04T09:31:22.0989869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-12-04T09:31:22.0998939Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-12-04T09:31:22.1000314Z * 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
2025-12-04T09:31:22.1001703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-12-04T09:31:22.1003193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file
2025-12-04T09:31:22.1004683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-12-04T09:31:22.1006203Z * 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
2025-12-04T09:31:22.1007792Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-12-04T09:31:22.1009494Z * 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
2025-12-04T09:31:22.1011064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0
2025-12-04T09:31:22.1012657Z * 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
2025-12-04T09:31:22.1014352Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-12-04T09:31:22.1016015Z * 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
2025-12-04T09:31:22.1017708Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-12-04T09:31:22.1019460Z * 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
2025-12-04T09:31:22.1021213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-12-04T09:31:22.1022932Z * 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
2025-12-04T09:31:22.1024639Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0
2025-12-04T09:31:22.1026169Z * 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
2025-12-04T09:31:22.1027598Z * 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
2025-12-04T09:31:22.1029001Z * 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
2025-12-04T09:31:22.1030186Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0
2025-12-04T09:31:22.1031533Z * 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
2025-12-04T09:31:22.1033074Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0
2025-12-04T09:31:22.1034583Z * 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
2025-12-04T09:31:22.1036128Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0
2025-12-04T09:31:22.1037562Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file
2025-12-04T09:31:22.1038911Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-12-04T09:31:22.1040225Z * 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
2025-12-04T09:31:22.1041593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-12-04T09:31:22.1043128Z * 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
2025-12-04T09:31:22.1044524Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-12-04T09:31:22.1045778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file
2025-12-04T09:31:22.1046958Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0
2025-12-04T09:31:22.1048182Z * 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
2025-12-04T09:31:22.1049486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-12-04T09:31:22.1050741Z * 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
2025-12-04T09:31:22.1051988Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-12-04T09:31:22.1053225Z * 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
2025-12-04T09:31:22.1054497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-12-04T09:31:22.1055731Z * 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
2025-12-04T09:31:22.1078315Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0
2025-12-04T09:31:22.1079574Z * 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
2025-12-04T09:31:22.1098487Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0
2025-12-04T09:31:22.1099771Z * 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
2025-12-04T09:31:22.1109246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0
2025-12-04T09:31:22.1110457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file
2025-12-04T09:31:22.1116719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0
2025-12-04T09:31:22.1117899Z * 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
2025-12-04T09:31:22.1126883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-12-04T09:31:22.1128120Z * 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
2025-12-04T09:31:22.1151316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0
2025-12-04T09:31:22.1152529Z * 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
2025-12-04T09:31:22.1157836Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-12-04T09:31:22.1159272Z * 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
2025-12-04T09:31:22.1182648Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-12-04T09:31:22.1184278Z * 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
2025-12-04T09:31:22.1191890Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-12-04T09:31:22.1193521Z * 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
2025-12-04T09:31:22.1213340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-12-04T09:31:22.1214612Z * 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
2025-12-04T09:31:22.1221337Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-12-04T09:31:22.1222699Z * 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
2025-12-04T09:31:22.1229434Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-12-04T09:31:22.1230778Z * 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
2025-12-04T09:31:22.1234522Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-12-04T09:31:22.1235801Z * 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
2025-12-04T09:31:22.1255711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-12-04T09:31:22.1257689Z * 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
2025-12-04T09:31:22.1262012Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-12-04T09:31:22.1263839Z * 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
2025-12-04T09:31:22.1265777Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-12-04T09:31:22.1267923Z * 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
2025-12-04T09:31:22.1270350Z * 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
2025-12-04T09:31:22.1272335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file
2025-12-04T09:31:22.1273981Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-12-04T09:31:22.1275726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file
2025-12-04T09:31:22.1277736Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-12-04T09:31:22.1279573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file
2025-12-04T09:31:22.1281195Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-12-04T09:31:22.1282892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file
2025-12-04T09:31:22.1284589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-12-04T09:31:22.1286236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file
2025-12-04T09:31:22.1287923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-12-04T09:31:22.1289539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file
2025-12-04T09:31:22.1291188Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-12-04T09:31:22.1292859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file
2025-12-04T09:31:22.1294587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-12-04T09:31:22.1296278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file
2025-12-04T09:31:22.1297994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0
2025-12-04T09:31:22.1299701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file
2025-12-04T09:31:22.1301424Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-12-04T09:31:22.1303276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file
2025-12-04T09:31:22.1304915Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-12-04T09:31:22.1306230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file
2025-12-04T09:31:22.1307556Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-12-04T09:31:22.1308814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file
2025-12-04T09:31:22.1310034Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0
2025-12-04T09:31:22.1311377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file
2025-12-04T09:31:22.1312836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0
2025-12-04T09:31:22.1314304Z * 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
2025-12-04T09:31:22.1315816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-12-04T09:31:22.1317395Z * 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
2025-12-04T09:31:22.1318914Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-12-04T09:31:22.1320267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file
2025-12-04T09:31:22.1321513Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0
2025-12-04T09:31:22.1322871Z * 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
2025-12-04T09:31:22.1324264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0
2025-12-04T09:31:22.1325555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file
2025-12-04T09:31:22.1326804Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0
2025-12-04T09:31:22.1328010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file
2025-12-04T09:31:22.1329258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1
2025-12-04T09:31:22.1330450Z * 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
2025-12-04T09:31:22.1331649Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-12-04T09:31:22.1332793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file
2025-12-04T09:31:22.1334025Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0
2025-12-04T09:31:22.1335204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-12-04T09:31:22.1336437Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-12-04T09:31:22.1337821Z * 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
2025-12-04T09:31:22.1339398Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-12-04T09:31:22.1340762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file
2025-12-04T09:31:22.1341986Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0
2025-12-04T09:31:22.1343284Z * 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
2025-12-04T09:31:22.1344759Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-12-04T09:31:22.1346097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file
2025-12-04T09:31:22.1367944Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0
2025-12-04T09:31:22.1369182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-12-04T09:31:22.1370412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0
2025-12-04T09:31:22.1371711Z * 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
2025-12-04T09:31:22.1373102Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-12-04T09:31:22.1374475Z * 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
2025-12-04T09:31:22.1375891Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-12-04T09:31:22.1377233Z * 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
2025-12-04T09:31:22.1378840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-12-04T09:31:22.1380295Z * 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
2025-12-04T09:31:22.1381851Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-12-04T09:31:22.1383369Z * 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
2025-12-04T09:31:22.1384965Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-12-04T09:31:22.1386620Z * 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
2025-12-04T09:31:22.1388165Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-12-04T09:31:22.1389608Z * 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
2025-12-04T09:31:22.1391013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-12-04T09:31:22.1392462Z * 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
2025-12-04T09:31:22.1393972Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-12-04T09:31:22.1395565Z * 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
2025-12-04T09:31:22.1397285Z * 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
2025-12-04T09:31:22.1398973Z * 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
2025-12-04T09:31:22.1402192Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-12-04T09:31:22.1403692Z * 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
2025-12-04T09:31:22.1405030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0
2025-12-04T09:31:22.1406282Z * 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
2025-12-04T09:31:22.1410711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-12-04T09:31:22.1411925Z * 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
2025-12-04T09:31:22.1425634Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-12-04T09:31:22.1426862Z * 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
2025-12-04T09:31:22.1430995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-12-04T09:31:22.1432193Z * 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
2025-12-04T09:31:22.1438232Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-12-04T09:31:22.1439432Z * 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
2025-12-04T09:31:22.1444162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-12-04T09:31:22.1445371Z * 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
2025-12-04T09:31:22.1450136Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-12-04T09:31:22.1451350Z * 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
2025-12-04T09:31:22.1457210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-12-04T09:31:22.1458438Z * 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
2025-12-04T09:31:22.1467703Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-12-04T09:31:22.1468969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file
2025-12-04T09:31:22.1481301Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-12-04T09:31:22.1482652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file
2025-12-04T09:31:22.1492642Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0
2025-12-04T09:31:22.1493844Z * 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
2025-12-04T09:31:22.1499794Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-12-04T09:31:22.1500962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file
2025-12-04T09:31:22.1507358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0
2025-12-04T09:31:22.1508687Z * 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
2025-12-04T09:31:22.1510182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-12-04T09:31:22.1511738Z * 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
2025-12-04T09:31:22.1513393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-12-04T09:31:22.1514895Z * 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
2025-12-04T09:31:22.1516345Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-12-04T09:31:22.1517725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 561 <- wrt source file
2025-12-04T09:31:22.1519100Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-12-04T09:31:22.1520454Z * 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
2025-12-04T09:31:22.1521917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-12-04T09:31:22.1523445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file
2025-12-04T09:31:22.1524893Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0
2025-12-04T09:31:22.1526347Z * 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
2025-12-04T09:31:22.1532253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0
2025-12-04T09:31:22.1533649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file
2025-12-04T09:31:22.1534931Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0
2025-12-04T09:31:22.1536214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file
2025-12-04T09:31:22.1537523Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0
2025-12-04T09:31:22.1538813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file
2025-12-04T09:31:22.1540113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1
2025-12-04T09:31:22.1541463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file
2025-12-04T09:31:22.1542767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0
2025-12-04T09:31:22.1544002Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0, line 1759 <- wrt source file
2025-12-04T09:31:22.1545203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load:0
2025-12-04T09:31:22.1546403Z * 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
2025-12-04T09:31:22.1547676Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::load_inline:0
2025-12-04T09:31:22.1548877Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-12-04T09:31:22.1558806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-12-04T09:31:22.1560119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file
2025-12-04T09:31:22.1561583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0
2025-12-04T09:31:22.1563095Z * 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
2025-12-04T09:31:22.2067952Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-12-04T09:31:22.2069356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-12-04T09:31:22.2076562Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-12-04T09:31:22.2078376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file
2025-12-04T09:31:22.2079710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-12-04T09:31:22.2080958Z * 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
2025-12-04T09:31:22.2082298Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0
2025-12-04T09:31:22.2083622Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file
2025-12-04T09:31:22.2085042Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0
2025-12-04T09:31:22.2086338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file
2025-12-04T09:31:22.2087557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-12-04T09:31:22.2088952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file
2025-12-04T09:31:22.2090353Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-12-04T09:31:22.2091783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file
2025-12-04T09:31:22.2097110Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-12-04T09:31:22.2098418Z * 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
2025-12-04T09:31:22.2101191Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-12-04T09:31:22.2102500Z * 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
2025-12-04T09:31:22.2106894Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-12-04T09:31:22.2108229Z * 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
2025-12-04T09:31:22.2113262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-12-04T09:31:22.2114645Z * 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
2025-12-04T09:31:22.2117225Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-12-04T09:31:22.2118829Z * 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
2025-12-04T09:31:22.2120338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-12-04T09:31:22.2121906Z * 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
2025-12-04T09:31:22.2123609Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-12-04T09:31:22.2125175Z * 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
2025-12-04T09:31:22.2133235Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-12-04T09:31:22.2134848Z * 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
2025-12-04T09:31:22.2136529Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:31:22.2138116Z * 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
2025-12-04T09:31:22.2161462Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-12-04T09:31:22.2163196Z * 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
2025-12-04T09:31:22.2164786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-12-04T09:31:22.2166364Z * 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
2025-12-04T09:31:22.2168055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-12-04T09:31:22.2169710Z * 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
2025-12-04T09:31:22.2171461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-12-04T09:31:22.2173154Z * 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
2025-12-04T09:31:22.2174854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-12-04T09:31:22.2176511Z * 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
2025-12-04T09:31:22.2178256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-12-04T09:31:22.2179852Z * 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
2025-12-04T09:31:22.2181496Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-12-04T09:31:22.2183163Z * 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
2025-12-04T09:31:22.2184947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-12-04T09:31:22.2186767Z * 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
2025-12-04T09:31:22.2188384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-12-04T09:31:22.2190098Z * 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
2025-12-04T09:31:22.2191902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-12-04T09:31:22.2193572Z * 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
2025-12-04T09:31:22.2195195Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-12-04T09:31:22.2196862Z * 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
2025-12-04T09:31:22.2198430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-12-04T09:31:22.2200049Z * 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
2025-12-04T09:31:22.2201822Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-12-04T09:31:22.2203665Z * 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
2025-12-04T09:31:22.2205300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-12-04T09:31:22.2206860Z * 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
2025-12-04T09:31:22.2208390Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-12-04T09:31:22.2209953Z * 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
2025-12-04T09:31:22.2211606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-12-04T09:31:22.2213191Z * 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
2025-12-04T09:31:22.2214762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-12-04T09:31:22.2216301Z * 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
2025-12-04T09:31:22.2217855Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-12-04T09:31:22.2219386Z * 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
2025-12-04T09:31:22.2220943Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-12-04T09:31:22.2222562Z * 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
2025-12-04T09:31:22.2224185Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-12-04T09:31:22.2225722Z * 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
2025-12-04T09:31:22.2227252Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-12-04T09:31:22.2228736Z * 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
2025-12-04T09:31:22.2230263Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-12-04T09:31:22.2231699Z * 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
2025-12-04T09:31:22.8410962Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-12-04T09:31:22.8412629Z * 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
2025-12-04T09:31:22.8414579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-12-04T09:31:22.8416213Z * 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
2025-12-04T09:31:22.8417825Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-12-04T09:31:22.8419343Z * 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
2025-12-04T09:31:22.8421047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-12-04T09:31:22.8422653Z * 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
2025-12-04T09:31:22.8424352Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-12-04T09:31:22.8425928Z * 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
2025-12-04T09:31:22.8427588Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-12-04T09:31:22.8429253Z * 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
2025-12-04T09:31:22.8430936Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-12-04T09:31:22.8432486Z * 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
2025-12-04T09:31:22.8434065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-12-04T09:31:22.8435705Z * 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
2025-12-04T09:31:22.8437417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-12-04T09:31:22.8438917Z * 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
2025-12-04T09:31:22.8440590Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-12-04T09:31:22.8442520Z * 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
2025-12-04T09:31:22.8444592Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-12-04T09:31:22.8446793Z * 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
2025-12-04T09:31:22.8449025Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-12-04T09:31:22.8451169Z * 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
2025-12-04T09:31:22.8453301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-12-04T09:31:22.8454807Z * 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
2025-12-04T09:31:22.8456580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-12-04T09:31:22.8458444Z * 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
2025-12-04T09:31:22.8460321Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-12-04T09:31:22.8462516Z * 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
2025-12-04T09:31:22.8464230Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-12-04T09:31:22.8465836Z * 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
2025-12-04T09:31:22.8467415Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-12-04T09:31:22.8468897Z * 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
2025-12-04T09:31:22.8470369Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-12-04T09:31:22.8471142Z ============
2025-12-04T09:31:22.8471417Z Finished doctests
2025-12-04T09:31:22.8471645Z 378 / 894 passed
2025-12-04T09:31:22.8471892Z 
2025-12-04T09:31:22.8472196Z === Found 17 parse-time warnings ===
2025-12-04T09:31:22.8472735Z --- Parse Warning: 1 / 17 ---
2025-12-04T09:31:22.8473854Z     /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.
2025-12-04T09:31:22.8475097Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8475713Z     Registers the function implementation as the fallback for the given key.
2025-12-04T09:31:22.8476149Z     
2025-12-04T09:31:22.8476485Z             This function only works for a library with global namespace ("_").
2025-12-04T09:31:22.8476916Z     
2025-12-04T09:31:22.8477103Z             Args:
2025-12-04T09:31:22.8477531Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-12-04T09:31:22.8478370Z                     to register a fallthrough.
2025-12-04T09:31:22.8478931Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-12-04T09:31:22.8479553Z                               the dispatch key that the library was created with.
2025-12-04T09:31:22.8480226Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-12-04T09:31:22.8481058Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-12-04T09:31:22.8481584Z     
2025-12-04T09:31:22.8481861Z             Example::
2025-12-04T09:31:22.8482110Z     
2025-12-04T09:31:22.8482454Z                 >>> my_lib = Library("_", "IMPL")
2025-12-04T09:31:22.8482828Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-12-04T09:31:22.8483218Z                 >>>     # Handle all autocast ops generically
2025-12-04T09:31:22.8483564Z                 >>>     # ...
2025-12-04T09:31:22.8483874Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:22.8484232Z             
2025-12-04T09:31:22.8485011Z     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))
2025-12-04T09:31:22.8485837Z     
2025-12-04T09:31:22.8486089Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-12-04T09:31:22.8486424Z     ^
2025-12-04T09:31:22.8486627Z       warnings.warn(msg)
2025-12-04T09:31:22.8486882Z     
2025-12-04T09:31:22.8487199Z --- Parse Warning: 2 / 17 ---
2025-12-04T09:31:22.8488293Z     /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.
2025-12-04T09:31:22.8489497Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8490103Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-12-04T09:31:22.8490538Z     
2025-12-04T09:31:22.8490821Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-12-04T09:31:22.8491197Z     
2025-12-04T09:31:22.8491552Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-12-04T09:31:22.8492142Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-12-04T09:31:22.8492714Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-12-04T09:31:22.8493220Z         what the properties of the output Tensors are.
2025-12-04T09:31:22.8493565Z     
2025-12-04T09:31:22.8493907Z         The FakeTensor implementation has the same signature as the operator.
2025-12-04T09:31:22.8494473Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-12-04T09:31:22.8495028Z         implementation, assume that all Tensor inputs to the operator are
2025-12-04T09:31:22.8495576Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-12-04T09:31:22.8496195Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-12-04T09:31:22.8496765Z         The FakeTensor implementation must consist of only PyTorch operations
2025-12-04T09:31:22.8497316Z         (and may not directly access the storage or data of any input or
2025-12-04T09:31:22.8497723Z         intermediate Tensors).
2025-12-04T09:31:22.8497994Z     
2025-12-04T09:31:22.8498259Z         This API may be used as a decorator (see examples).
2025-12-04T09:31:22.8498599Z     
2025-12-04T09:31:22.8498852Z         For a detailed guide on custom ops, please see
2025-12-04T09:31:22.8499357Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-12-04T09:31:22.8499795Z     
2025-12-04T09:31:22.8499982Z         Args:
2025-12-04T09:31:22.8500340Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-12-04T09:31:22.8500809Z             func: Fake tensor implementation.
2025-12-04T09:31:22.8501233Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-12-04T09:31:22.8501742Z             allow_override: Flag controlling if we want to override an
2025-12-04T09:31:22.8502225Z                             existing registered fake impl. This is by default off,
2025-12-04T09:31:22.8502692Z                             and will error you're trying to register a fake impl to
2025-12-04T09:31:22.8503172Z                             an operator that already has a fake impl. This also only
2025-12-04T09:31:22.8503824Z                             applies if the custom operator was not created via
2025-12-04T09:31:22.8504397Z                             torch.library.custom_op, as overriding and existing fake
2025-12-04T09:31:22.8504825Z                             impl is already allowed.
2025-12-04T09:31:22.8505150Z     
2025-12-04T09:31:22.8505361Z         Examples:
2025-12-04T09:31:22.8505592Z             >>> import torch
2025-12-04T09:31:22.8505878Z             >>> import numpy as np
2025-12-04T09:31:22.8506191Z             >>> from torch import Tensor
2025-12-04T09:31:22.8506481Z             >>>
2025-12-04T09:31:22.8506804Z             >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:22.8507335Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-12-04T09:31:22.8507894Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:22.8508410Z             >>>     raise NotImplementedError("Implementation goes here")
2025-12-04T09:31:22.8508799Z             >>>
2025-12-04T09:31:22.8509102Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-12-04T09:31:22.8509485Z             >>> def _(x, weight, bias):
2025-12-04T09:31:22.8509799Z             >>>     assert x.dim() == 2
2025-12-04T09:31:22.8510121Z             >>>     assert weight.dim() == 2
2025-12-04T09:31:22.8510436Z             >>>     assert bias.dim() == 1
2025-12-04T09:31:22.8510779Z             >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:22.8511158Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:22.8511529Z             >>>     assert x.device == weight.device
2025-12-04T09:31:22.8511839Z             >>>
2025-12-04T09:31:22.8512087Z             >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:22.8512401Z             >>>
2025-12-04T09:31:22.8512694Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-12-04T09:31:22.8513096Z             >>>     x = torch.randn(2, 3)
2025-12-04T09:31:22.8513420Z             >>>     w = torch.randn(3, 3)
2025-12-04T09:31:22.8513733Z             >>>     b = torch.randn(3)
2025-12-04T09:31:22.8514082Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-12-04T09:31:22.8514429Z             >>>
2025-12-04T09:31:22.8514674Z             >>> assert y.shape == (2, 3)
2025-12-04T09:31:22.8514958Z             >>>
2025-12-04T09:31:22.8515265Z             >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:22.8515860Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-12-04T09:31:22.8516326Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:22.8516684Z             >>>     x_np = x.numpy(force=True)
2025-12-04T09:31:22.8517042Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:22.8517417Z             >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:22.8517761Z             >>>
2025-12-04T09:31:22.8518072Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-12-04T09:31:22.8518459Z             >>> def _(x):
2025-12-04T09:31:22.8518767Z             >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:22.8519194Z             >>> # Since we cannot peek at the data in an fake impl,
2025-12-04T09:31:22.8519628Z             >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:22.8520152Z             >>> # represents the data-dependent size.
2025-12-04T09:31:22.8520540Z             >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:22.8520901Z             >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:22.8521236Z             >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:22.8521609Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:22.8522349Z             >>>     return result
2025-12-04T09:31:22.8522632Z             >>>
2025-12-04T09:31:22.8522939Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-12-04T09:31:22.8523439Z             >>>
2025-12-04T09:31:22.8523723Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-12-04T09:31:22.8524283Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-12-04T09:31:22.8524770Z             >>> trace.print_readable()
2025-12-04T09:31:22.8525070Z             >>>
2025-12-04T09:31:22.8525416Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-12-04T09:31:22.8525850Z     
2025-12-04T09:31:22.8526050Z         
2025-12-04T09:31:22.8526708Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-12-04T09:31:22.8527432Z     
2025-12-04T09:31:22.8527628Z     _._ = None
2025-12-04T09:31:22.8527843Z     ^
2025-12-04T09:31:22.8528043Z       warnings.warn(msg)
2025-12-04T09:31:22.8528293Z     
2025-12-04T09:31:22.8528643Z --- Parse Warning: 3 / 17 ---
2025-12-04T09:31:22.8529721Z     /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.
2025-12-04T09:31:22.8530938Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8531526Z     Returns the computed kernel for a given operator and dispatch key.
2025-12-04T09:31:22.8531941Z     
2025-12-04T09:31:22.8547157Z         This function retrieves the kernel that would be executed for a given
2025-12-04T09:31:22.8547778Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-12-04T09:31:22.8548352Z         can be used to call the kernel in a boxed fashion. The intended use
2025-12-04T09:31:22.8548876Z         case for this function is to retrieve the original kernel for a given
2025-12-04T09:31:22.8549439Z         dispatch key and then register another kernel to the same dispatch key
2025-12-04T09:31:22.8549955Z         that calls into the original kernel for certain cases.
2025-12-04T09:31:22.8550323Z     
2025-12-04T09:31:22.8550527Z         Args:
2025-12-04T09:31:22.8550866Z             op: Operator name (along with the overload) or OpOverload object
2025-12-04T09:31:22.8551434Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-12-04T09:31:22.8552037Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-12-04T09:31:22.8552737Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-12-04T09:31:22.8553146Z     
2025-12-04T09:31:22.8553339Z         Returns:
2025-12-04T09:31:22.8553728Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-12-04T09:31:22.8554196Z                 call the kernel.
2025-12-04T09:31:22.8554461Z     
2025-12-04T09:31:22.8554666Z         Raises:
2025-12-04T09:31:22.8554950Z             RuntimeError: If the operator does not exist.
2025-12-04T09:31:22.8555298Z     
2025-12-04T09:31:22.8555487Z         Example:
2025-12-04T09:31:22.8555756Z             >>> # Get the CPU kernel for torch.add
2025-12-04T09:31:22.8556197Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-12-04T09:31:22.8556590Z             >>>
2025-12-04T09:31:22.8556845Z             >>> # You can also use DispatchKey enum
2025-12-04T09:31:22.8557349Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-12-04T09:31:22.8557807Z             >>>
2025-12-04T09:31:22.8558058Z             >>> # Or use an OpOverload directly
2025-12-04T09:31:22.8558517Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-12-04T09:31:22.8558954Z             >>>
2025-12-04T09:31:22.8559289Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-12-04T09:31:22.8559758Z             >>> # Get the original kernel for torch.sin
2025-12-04T09:31:22.8560221Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-12-04T09:31:22.8560705Z             >>>
2025-12-04T09:31:22.8561071Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-12-04T09:31:22.8561570Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-12-04T09:31:22.8562013Z             >>>     if (x < 0).any():
2025-12-04T09:31:22.8562411Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-12-04T09:31:22.8562822Z             >>>     else:
2025-12-04T09:31:22.8563109Z             >>>         return torch.zeros_like(x)
2025-12-04T09:31:22.8563415Z             >>>
2025-12-04T09:31:22.8563693Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-12-04T09:31:22.8564215Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-12-04T09:31:22.8564780Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:22.8565289Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-12-04T09:31:22.8565693Z             >>>
2025-12-04T09:31:22.8565945Z             >>> # Test the conditional behavior
2025-12-04T09:31:22.8566291Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-12-04T09:31:22.8566652Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-12-04T09:31:22.8566994Z             >>> torch.sin(x_positive)
2025-12-04T09:31:22.8567296Z             tensor([0., 0.])
2025-12-04T09:31:22.8567576Z             >>> torch.sin(x_mixed)
2025-12-04T09:31:22.8567876Z             tensor([-0.8415, 0.9093])
2025-12-04T09:31:22.8568149Z         
2025-12-04T09:31:22.8568766Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-12-04T09:31:22.8569455Z     
2025-12-04T09:31:22.8569743Z     which needs to be the first argument to ``kernel.call_boxed``
2025-12-04T09:31:22.8570133Z           ^
2025-12-04T09:31:22.8570359Z       warnings.warn(msg)
2025-12-04T09:31:22.8570618Z     
2025-12-04T09:31:22.8570967Z --- Parse Warning: 4 / 17 ---
2025-12-04T09:31:22.8572119Z     /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.
2025-12-04T09:31:22.8573476Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8574096Z     Check if the current accelerator is available at runtime: it was build, all the
2025-12-04T09:31:22.8574697Z         required drivers are available and at least one device is visible.
2025-12-04T09:31:22.8575193Z         See :ref:`accelerator<accelerators>` for details.
2025-12-04T09:31:22.8575548Z     
2025-12-04T09:31:22.8575739Z         Returns:
2025-12-04T09:31:22.8576166Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-12-04T09:31:22.8576657Z     
2025-12-04T09:31:22.8577009Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-12-04T09:31:22.8577799Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-12-04T09:31:22.8578447Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-12-04T09:31:22.8578969Z             :ref:`multiprocessing-poison-fork-note`.
2025-12-04T09:31:22.8579303Z     
2025-12-04T09:31:22.8579512Z         Example::
2025-12-04T09:31:22.8579741Z     
2025-12-04T09:31:22.8580119Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:22.8580599Z         
2025-12-04T09:31:22.8581292Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-12-04T09:31:22.8582051Z     
2025-12-04T09:31:22.8582430Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:22.8583025Z                                             ^
2025-12-04T09:31:22.8583341Z       warnings.warn(msg)
2025-12-04T09:31:22.8583583Z     
2025-12-04T09:31:22.8583895Z --- Parse Warning: 5 / 17 ---
2025-12-04T09:31:22.8585058Z     /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.
2025-12-04T09:31:22.8586336Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8586928Z     Wait for all kernels in all streams on the given device to complete.
2025-12-04T09:31:22.8587338Z     
2025-12-04T09:31:22.8587533Z         Args:
2025-12-04T09:31:22.8587972Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-12-04T09:31:22.8588643Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-12-04T09:31:22.8589199Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-12-04T09:31:22.8589592Z     
2025-12-04T09:31:22.8590021Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-12-04T09:31:22.8590539Z     
2025-12-04T09:31:22.8590730Z         Example::
2025-12-04T09:31:22.8590956Z     
2025-12-04T09:31:22.8591205Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-12-04T09:31:22.8591733Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:22.8592258Z             >>> start_event = torch.Event(enable_timing=True)
2025-12-04T09:31:22.8592654Z             >>> end_event = torch.Event(enable_timing=True)
2025-12-04T09:31:22.8593013Z             >>> start_event.record()
2025-12-04T09:31:22.8593448Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-12-04T09:31:22.8593929Z             >>> sum = torch.sum(tensor)
2025-12-04T09:31:22.8594252Z             >>> end_event.record()
2025-12-04T09:31:22.8594570Z             >>> torch.accelerator.synchronize()
2025-12-04T09:31:22.8594984Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-12-04T09:31:22.8595363Z         
2025-12-04T09:31:22.8596152Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-12-04T09:31:22.8596915Z     
2025-12-04T09:31:22.8597296Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-12-04T09:31:22.8597786Z                                             ^
2025-12-04T09:31:22.8598087Z       warnings.warn(msg)
2025-12-04T09:31:22.8598340Z     
2025-12-04T09:31:22.8598644Z --- Parse Warning: 6 / 17 ---
2025-12-04T09:31:22.8599740Z     /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.
2025-12-04T09:31:22.8600948Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8601442Z     Retrieves the CUDA runtime API module.
2025-12-04T09:31:22.8601849Z     
2025-12-04T09:31:22.8602042Z     
2025-12-04T09:31:22.8602422Z         This function initializes the CUDA runtime environment if it is not already
2025-12-04T09:31:22.8603039Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-12-04T09:31:22.8603624Z         runtime API module provides access to various CUDA runtime functions.
2025-12-04T09:31:22.8604046Z     
2025-12-04T09:31:22.8604248Z         Args:
2025-12-04T09:31:22.8604468Z             ``None``
2025-12-04T09:31:22.8604689Z     
2025-12-04T09:31:22.8604888Z         Returns:
2025-12-04T09:31:22.8605174Z             module: The CUDA runtime API module (_cudart).
2025-12-04T09:31:22.8605589Z     
2025-12-04T09:31:22.8605790Z         Raises:
2025-12-04T09:31:22.8606162Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-12-04T09:31:22.8606876Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-12-04T09:31:22.8607448Z     
2025-12-04T09:31:22.8607702Z         Example of CUDA operations with profiling:
2025-12-04T09:31:22.8608040Z             >>> import torch
2025-12-04T09:31:22.8608366Z             >>> from torch.cuda import cudart, check_error
2025-12-04T09:31:22.8608714Z             >>> import os
2025-12-04T09:31:22.8609002Z             >>>
2025-12-04T09:31:22.8609238Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-12-04T09:31:22.8609560Z             >>>
2025-12-04T09:31:22.8609831Z             >>> def perform_cuda_operations_with_streams():
2025-12-04T09:31:22.8610194Z             >>>     stream = torch.cuda.Stream()
2025-12-04T09:31:22.8610548Z             >>>     with torch.cuda.stream(stream):
2025-12-04T09:31:22.8610920Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:22.8611283Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-12-04T09:31:22.8611632Z             >>>         z = torch.mul(x, y)
2025-12-04T09:31:22.8611940Z             >>>     return z
2025-12-04T09:31:22.8612187Z             >>>
2025-12-04T09:31:22.8612438Z             >>> torch.cuda.synchronize()
2025-12-04T09:31:22.8612790Z             >>> print("====== Start nsys profiling ======")
2025-12-04T09:31:22.8613178Z             >>> check_error(cudart().cudaProfilerStart())
2025-12-04T09:31:22.8613563Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-12-04T09:31:22.8613972Z             >>>     result = perform_cuda_operations_with_streams()
2025-12-04T09:31:22.8614370Z             >>>     print("CUDA operations completed.")
2025-12-04T09:31:22.8614767Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-12-04T09:31:22.8615208Z             >>> print("====== End nsys profiling ======")
2025-12-04T09:31:22.8615541Z     
2025-12-04T09:31:22.8615844Z         To run this example and save the profiling information, execute:
2025-12-04T09:31:22.8616539Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:22.8617108Z     
2025-12-04T09:31:22.8617531Z         This command profiles the CUDA operations in the provided script and saves
2025-12-04T09:31:22.8618093Z         the profiling information to a file named `trace_name.prof`.
2025-12-04T09:31:22.8618647Z         The `--profile-from-start off` option ensures that profiling starts only
2025-12-04T09:31:22.8619161Z         after the `cudaProfilerStart` call in the script.
2025-12-04T09:31:22.8619642Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-12-04T09:31:22.8620132Z         CSV file and print a summary, respectively.
2025-12-04T09:31:22.8620635Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-12-04T09:31:22.8621166Z         overwrite of the output file if it already exists.
2025-12-04T09:31:22.8621513Z         
2025-12-04T09:31:22.8622294Z     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))
2025-12-04T09:31:22.8623158Z     
2025-12-04T09:31:22.8623643Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-12-04T09:31:22.8624206Z     ^
2025-12-04T09:31:22.8624421Z       warnings.warn(msg)
2025-12-04T09:31:22.8624674Z     
2025-12-04T09:31:22.8624982Z --- Parse Warning: 7 / 17 ---
2025-12-04T09:31:22.8626075Z     /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.
2025-12-04T09:31:22.8627357Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8627801Z     
2025-12-04T09:31:22.8628137Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-12-04T09:31:22.8628685Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-12-04T09:31:22.8629228Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-12-04T09:31:22.8629672Z     vectorizing those operations.
2025-12-04T09:31:22.8629963Z     
2025-12-04T09:31:22.8630293Z     vmap is useful for handling batch dimensions: one can write a function
2025-12-04T09:31:22.8630814Z     ``func`` that runs on examples and then lift it to a function that can
2025-12-04T09:31:22.8631354Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-12-04T09:31:22.8631860Z     compute batched gradients when composed with autograd.
2025-12-04T09:31:22.8632214Z     
2025-12-04T09:31:22.8632421Z     .. note::
2025-12-04T09:31:22.8632741Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-12-04T09:31:22.8633174Z         convenience. Use whichever one you'd like.
2025-12-04T09:31:22.8633490Z     
2025-12-04T09:31:22.8633688Z     Args:
2025-12-04T09:31:22.8634019Z         func (function): A Python function that takes one or more arguments.
2025-12-04T09:31:22.8634459Z             Must return one or more Tensors.
2025-12-04T09:31:22.8634886Z         in_dims (int or nested structure): Specifies which dimension of the
2025-12-04T09:31:22.8635385Z             inputs should be mapped over. ``in_dims`` should have a
2025-12-04T09:31:22.8635857Z             structure like the inputs. If the ``in_dim`` for a particular
2025-12-04T09:31:22.8636357Z             input is None, then that indicates there is no map dimension.
2025-12-04T09:31:22.8636762Z             Default: 0.
2025-12-04T09:31:22.8637118Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-12-04T09:31:22.8637624Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-12-04T09:31:22.8638096Z             it should have one element per output. Default: 0.
2025-12-04T09:31:22.8638556Z         randomness (str): Specifies whether the randomness in this
2025-12-04T09:31:22.8639061Z             vmap should be the same or different across batches. If 'different',
2025-12-04T09:31:22.8639658Z             the randomness for each batch will be different. If 'same', the
2025-12-04T09:31:22.8640202Z             randomness will be the same across batches. If 'error', any calls to
2025-12-04T09:31:22.8640755Z             random functions will error. Default: 'error'. WARNING: this flag
2025-12-04T09:31:22.8641286Z             only applies to random PyTorch operations and does not apply to
2025-12-04T09:31:22.8641846Z             Python's random module or numpy randomness.
2025-12-04T09:31:22.8642336Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-12-04T09:31:22.8642905Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-12-04T09:31:22.8643516Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-12-04T09:31:22.8644175Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-12-04T09:31:22.8644657Z     
2025-12-04T09:31:22.8644848Z     Returns:
2025-12-04T09:31:22.8645170Z         Returns a new "batched" function. It takes the same inputs as
2025-12-04T09:31:22.8645672Z         ``func``, except each input has an extra dimension at the index
2025-12-04T09:31:22.8646155Z         specified by ``in_dims``. It takes returns the same outputs as
2025-12-04T09:31:22.8646650Z         ``func``, except each output has an extra dimension at the index
2025-12-04T09:31:22.8647063Z         specified by ``out_dims``.
2025-12-04T09:31:22.8647334Z     
2025-12-04T09:31:22.8647535Z     .. warning:
2025-12-04T09:31:22.8647869Z         :func:`vmap` works best with functional-style code. Please do not
2025-12-04T09:31:22.8648441Z         perform any side-effects in ``func``, with the exception of
2025-12-04T09:31:22.8648974Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-12-04T09:31:22.8649561Z         Python data structures and assigning values to variables not captured
2025-12-04T09:31:22.8650004Z         in ``func``.
2025-12-04T09:31:22.8650231Z     
2025-12-04T09:31:22.8650586Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-12-04T09:31:22.8651170Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-12-04T09:31:22.8651724Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-12-04T09:31:22.8652151Z     
2025-12-04T09:31:22.8652368Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:22.8652786Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-12-04T09:31:22.8653229Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:22.8653584Z         >>> batched_dot(x, y)
2025-12-04T09:31:22.8653838Z     
2025-12-04T09:31:22.8654182Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-12-04T09:31:22.8654636Z     model authoring experience.
2025-12-04T09:31:22.8654900Z     
2025-12-04T09:31:22.8655127Z         >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:22.8655536Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:22.8655915Z         >>>
2025-12-04T09:31:22.8656130Z         >>> def model(feature_vec):
2025-12-04T09:31:22.8656467Z         >>> # Very simple linear model with activation
2025-12-04T09:31:22.8656846Z         >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:22.8657165Z         >>>
2025-12-04T09:31:22.8657441Z         >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:22.8657835Z         >>> result = torch.vmap(model)(examples)
2025-12-04T09:31:22.8658143Z     
2025-12-04T09:31:22.8658519Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-12-04T09:31:22.8659136Z     or impossible to batch. One example is higher-order gradient computation.
2025-12-04T09:31:22.8659730Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-12-04T09:31:22.8660366Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-12-04T09:31:22.8660975Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-12-04T09:31:22.8661595Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-12-04T09:31:22.8662051Z     call to ``autograd.grad``.
2025-12-04T09:31:22.8662324Z     
2025-12-04T09:31:22.8662532Z         >>> # Setup
2025-12-04T09:31:22.8662755Z         >>> N = 5
2025-12-04T09:31:22.8662999Z         >>> f = lambda x: x**2
2025-12-04T09:31:22.8663308Z         >>> x = torch.randn(N, requires_grad=True)
2025-12-04T09:31:22.8663626Z         >>> y = f(x)
2025-12-04T09:31:22.8663876Z         >>> I_N = torch.eye(N)
2025-12-04T09:31:22.8664141Z         >>>
2025-12-04T09:31:22.8664373Z         >>> # Sequential approach
2025-12-04T09:31:22.8664778Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-12-04T09:31:22.8665231Z         >>>                  for v in I_N.unbind()]
2025-12-04T09:31:22.8665592Z         >>> jacobian = torch.stack(jacobian_rows)
2025-12-04T09:31:22.8665899Z         >>>
2025-12-04T09:31:22.8666139Z         >>> # vectorized gradient computation
2025-12-04T09:31:22.8666463Z         >>> def get_vjp(v):
2025-12-04T09:31:22.8666753Z         >>>     return torch.autograd.grad(y, x, v)
2025-12-04T09:31:22.8667118Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-12-04T09:31:22.8667436Z     
2025-12-04T09:31:22.8667803Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-12-04T09:31:22.8668281Z     
2025-12-04T09:31:22.8668504Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:22.8668896Z         >>> batched_dot = torch.vmap(
2025-12-04T09:31:22.8669203Z         ...     torch.vmap(torch.dot)
2025-12-04T09:31:22.8669529Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-12-04T09:31:22.8669904Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-12-04T09:31:22.8670280Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-12-04T09:31:22.8670611Z     
2025-12-04T09:31:22.8670972Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-12-04T09:31:22.8671483Z     the dimension that each inputs are batched along as
2025-12-04T09:31:22.8671830Z     
2025-12-04T09:31:22.8672046Z         >>> torch.dot  # [N], [N] -> []
2025-12-04T09:31:22.8672469Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-12-04T09:31:22.8672945Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-12-04T09:31:22.8673283Z         >>> batched_dot(
2025-12-04T09:31:22.8673535Z         ...     x, y
2025-12-04T09:31:22.8673866Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-12-04T09:31:22.8674265Z     
2025-12-04T09:31:22.8674638Z     If there are multiple inputs each of which is batched along different dimensions,
2025-12-04T09:31:22.8675216Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-12-04T09:31:22.8675624Z     
2025-12-04T09:31:22.8675849Z         >>> torch.dot  # [D], [D] -> []
2025-12-04T09:31:22.8676287Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-12-04T09:31:22.8676772Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:22.8677103Z         >>> batched_dot(
2025-12-04T09:31:22.8677353Z         ...     x, y
2025-12-04T09:31:22.8677837Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-12-04T09:31:22.8678241Z     
2025-12-04T09:31:22.8678597Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-12-04T09:31:22.8679065Z     matching the shape of the input:
2025-12-04T09:31:22.8679366Z     
2025-12-04T09:31:22.8679622Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-12-04T09:31:22.8679992Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-12-04T09:31:22.8680330Z         >>> input = {"x": x, "y": y}
2025-12-04T09:31:22.8680863Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-12-04T09:31:22.8681271Z         >>> batched_dot(input)
2025-12-04T09:31:22.8681528Z     
2025-12-04T09:31:22.8681995Z     By default, the output is batched along the first dimension. However, it can be batched
2025-12-04T09:31:22.8682523Z     along any dimension by using ``out_dims``
2025-12-04T09:31:22.8682827Z     
2025-12-04T09:31:22.8683035Z         >>> f = lambda x: x**2
2025-12-04T09:31:22.8683323Z         >>> x = torch.randn(2, 5)
2025-12-04T09:31:22.8683632Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-12-04T09:31:22.8683974Z         >>> batched_pow(x)  # [5, 2]
2025-12-04T09:31:22.8684264Z     
2025-12-04T09:31:22.8684661Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-12-04T09:31:22.8685172Z     accept kwargs
2025-12-04T09:31:22.8685403Z     
2025-12-04T09:31:22.8685604Z         >>> x = torch.randn([2, 5])
2025-12-04T09:31:22.8685912Z         >>> def fn(x, scale=4.):
2025-12-04T09:31:22.8686211Z         >>>   return x * scale
2025-12-04T09:31:22.8686475Z         >>>
2025-12-04T09:31:22.8686696Z         >>> batched_pow = torch.vmap(fn)
2025-12-04T09:31:22.8687058Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-12-04T09:31:22.8687537Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-12-04T09:31:22.8687953Z     
2025-12-04T09:31:22.8688161Z     .. note::
2025-12-04T09:31:22.8688514Z         vmap does not provide general autobatching or handle variable-length
2025-12-04T09:31:22.8688945Z         sequences out of the box.
2025-12-04T09:31:22.8689346Z     
2025-12-04T09:31:22.8690002Z     Original Error: IndentationError('expected an indented block after function definition on line 4', ('<source_block>', 5, 1, '_._ = None\n', 5, 2))
2025-12-04T09:31:22.8690726Z     
2025-12-04T09:31:22.8690922Z     _._ = None
2025-12-04T09:31:22.8691136Z     ^
2025-12-04T09:31:22.8691354Z       warnings.warn(msg)
2025-12-04T09:31:22.8691793Z     
2025-12-04T09:31:22.8692136Z --- Parse Warning: 8 / 17 ---
2025-12-04T09:31:22.8693229Z     /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.
2025-12-04T09:31:22.8694438Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8695050Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-12-04T09:31:22.8695604Z         input(s) specified by ``argnums``. This operator can be nested to
2025-12-04T09:31:22.8696039Z         compute higher-order gradients.
2025-12-04T09:31:22.8696332Z     
2025-12-04T09:31:22.8696530Z         Args:
2025-12-04T09:31:22.8696872Z             func (Callable): A Python function that takes one or more arguments.
2025-12-04T09:31:22.8697463Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-12-04T09:31:22.8698127Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-12-04T09:31:22.8698617Z                 ``(output, aux)``.
2025-12-04T09:31:22.8699091Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-12-04T09:31:22.8699687Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-12-04T09:31:22.8700227Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-12-04T09:31:22.8700731Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-12-04T09:31:22.8701087Z     
2025-12-04T09:31:22.8701286Z         Returns:
2025-12-04T09:31:22.8701709Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-12-04T09:31:22.8702337Z             the function is the gradient tensor(s) with respect to the first argument.
2025-12-04T09:31:22.8703029Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-12-04T09:31:22.8703681Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-12-04T09:31:22.8704206Z             respect to each ``argnums`` value is returned.
2025-12-04T09:31:22.8704536Z     
2025-12-04T09:31:22.8704752Z         Example of using ``grad``:
2025-12-04T09:31:22.8705034Z     
2025-12-04T09:31:22.8705234Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:22.8705538Z             >>> from torch.func import grad
2025-12-04T09:31:22.8705865Z             >>> x = torch.randn([])
2025-12-04T09:31:22.8706182Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-12-04T09:31:22.8706555Z             >>> assert torch.allclose(cos_x, x.cos())
2025-12-04T09:31:22.8706877Z             >>>
2025-12-04T09:31:22.8707116Z             >>> # Second-order gradients
2025-12-04T09:31:22.8707470Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-12-04T09:31:22.8707874Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-12-04T09:31:22.8708203Z     
2025-12-04T09:31:22.8708554Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-12-04T09:31:22.8709011Z     
2025-12-04T09:31:22.8709216Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:22.8709521Z             >>> from torch.func import grad, vmap
2025-12-04T09:31:22.8709874Z             >>> batch_size, feature_size = 3, 5
2025-12-04T09:31:22.8710189Z             >>>
2025-12-04T09:31:22.8710426Z             >>> def model(weights, feature_vec):
2025-12-04T09:31:22.8710792Z             >>> # Very simple linear model with activation
2025-12-04T09:31:22.8711213Z             >>>     assert feature_vec.dim() == 1
2025-12-04T09:31:22.8711570Z             >>>     return feature_vec.dot(weights).relu()
2025-12-04T09:31:22.8711889Z             >>>
2025-12-04T09:31:22.8712165Z             >>> def compute_loss(weights, example, target):
2025-12-04T09:31:22.8712541Z             >>>     y = model(weights, example)
2025-12-04T09:31:22.8712891Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-12-04T09:31:22.8713227Z             >>>
2025-12-04T09:31:22.8713533Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-12-04T09:31:22.8713970Z             >>> examples = torch.randn(batch_size, feature_size)
2025-12-04T09:31:22.8714357Z             >>> targets = torch.randn(batch_size)
2025-12-04T09:31:22.8714716Z             >>> inputs = (weights, examples, targets)
2025-12-04T09:31:22.8715190Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-12-04T09:31:22.8715632Z             ...     *inputs
2025-12-04T09:31:22.8715884Z             ... )
2025-12-04T09:31:22.8716104Z     
2025-12-04T09:31:22.8716379Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-12-04T09:31:22.8716755Z     
2025-12-04T09:31:22.8716967Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:22.8717267Z             >>> from torch.func import grad
2025-12-04T09:31:22.8717597Z             >>> def my_loss_func(y, y_pred):
2025-12-04T09:31:22.8717947Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-12-04T09:31:22.8718299Z             >>>    loss = loss_per_sample.mean()
2025-12-04T09:31:22.8718655Z             >>>    return loss, (y_pred, loss_per_sample)
2025-12-04T09:31:22.8718983Z             >>>
2025-12-04T09:31:22.8719264Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-12-04T09:31:22.8719626Z             >>> y_true = torch.rand(4)
2025-12-04T09:31:22.8719969Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-12-04T09:31:22.8720329Z             >>> out = fn(y_true, y_preds)
2025-12-04T09:31:22.8720775Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-12-04T09:31:22.8721221Z     
2025-12-04T09:31:22.8721426Z         .. note::
2025-12-04T09:31:22.8721718Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-12-04T09:31:22.8722248Z     
2025-12-04T09:31:22.8722514Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-12-04T09:31:22.8722855Z     
2025-12-04T09:31:22.8723058Z                 >>> # xdoctest: +SKIP
2025-12-04T09:31:22.8723353Z                 >>> def f(x):
2025-12-04T09:31:22.8723640Z                 >>>     with torch.no_grad():
2025-12-04T09:31:22.8723945Z                 >>>         c = x ** 2
2025-12-04T09:31:22.8724246Z                 >>>     return x - c
2025-12-04T09:31:22.8724522Z     
2025-12-04T09:31:22.8724818Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-12-04T09:31:22.8725226Z     
2025-12-04T09:31:22.8725521Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-12-04T09:31:22.8725903Z     
2025-12-04T09:31:22.8726116Z                 >>> # xdoctest: +SKIP
2025-12-04T09:31:22.8726430Z                 >>> with torch.no_grad():
2025-12-04T09:31:22.8726725Z                 >>>     grad(f)(x)
2025-12-04T09:31:22.8726998Z     
2025-12-04T09:31:22.8727329Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-12-04T09:31:22.8727894Z             outer one. This is because ``grad`` is a "function transform": its result
2025-12-04T09:31:22.8728447Z             should not depend on the result of a context manager outside of ``f``.
2025-12-04T09:31:22.8728875Z     
2025-12-04T09:31:22.8729070Z         
2025-12-04T09:31:22.8729711Z     Original Error: IndentationError('expected an indented block after function definition on line 5', ('<source_block>', 6, 1, '_._ = None\n', 6, 2))
2025-12-04T09:31:22.8730502Z     
2025-12-04T09:31:22.8730695Z     _._ = None
2025-12-04T09:31:22.8730901Z     ^
2025-12-04T09:31:22.8731109Z       warnings.warn(msg)
2025-12-04T09:31:22.8731362Z     
2025-12-04T09:31:22.8731668Z --- Parse Warning: 9 / 17 ---
2025-12-04T09:31:22.8732887Z     /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.
2025-12-04T09:31:22.8734256Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8734810Z     Register a FakeTensor implementation for this custom op.
2025-12-04T09:31:22.8735170Z     
2025-12-04T09:31:22.8735529Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-12-04T09:31:22.8735990Z     
2025-12-04T09:31:22.8736308Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-12-04T09:31:22.8736882Z             specifies the behavior of this operator on Tensors that carry no data.
2025-12-04T09:31:22.8737384Z             Given some input Tensors with certain properties
2025-12-04T09:31:22.8737911Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-12-04T09:31:22.8738384Z             the output Tensors are.
2025-12-04T09:31:22.8738675Z     
2025-12-04T09:31:22.8738990Z             Please see :func:`torch.library.register_fake` for more details.
2025-12-04T09:31:22.8739387Z     
2025-12-04T09:31:22.8739584Z             Args:
2025-12-04T09:31:22.8739900Z                 fn (Callable): The function to register as the FakeTensor
2025-12-04T09:31:22.8740289Z                     implementation.
2025-12-04T09:31:22.8740577Z     
2025-12-04T09:31:22.8740785Z             Examples:
2025-12-04T09:31:22.8741035Z                 >>> import torch
2025-12-04T09:31:22.8741319Z                 >>> import numpy as np
2025-12-04T09:31:22.8741650Z                 >>> from torch import Tensor
2025-12-04T09:31:22.8741956Z                 >>>
2025-12-04T09:31:22.8742274Z                 >>> # Example 1: an operator without data-dependent output shape
2025-12-04T09:31:22.8742783Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-12-04T09:31:22.8743488Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-12-04T09:31:22.8743918Z                 >>>     return (x @ weight.t()) + bias
2025-12-04T09:31:22.8744244Z                 >>>
2025-12-04T09:31:22.8744497Z                 >>> @linear.register_fake
2025-12-04T09:31:22.8744828Z                 >>> def _(x, weight, bias):
2025-12-04T09:31:22.8745139Z                 >>>     assert x.dim() == 2
2025-12-04T09:31:22.8745472Z                 >>>     assert weight.dim() == 2
2025-12-04T09:31:22.8745813Z                 >>>     assert bias.dim() == 1
2025-12-04T09:31:22.8746154Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-12-04T09:31:22.8746544Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-12-04T09:31:22.8746925Z                 >>>     assert x.device == weight.device
2025-12-04T09:31:22.8747299Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-12-04T09:31:22.8747657Z                 >>>
2025-12-04T09:31:22.8747903Z                 >>> x = torch.randn(2, 2)
2025-12-04T09:31:22.8748237Z                 >>> weight = torch.randn(2, 2)
2025-12-04T09:31:22.8748555Z                 >>> bias = torch.randn(2)
2025-12-04T09:31:22.8748905Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:22.8749353Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-12-04T09:31:22.8749792Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:22.8750296Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-12-04T09:31:22.8750757Z                 >>>
2025-12-04T09:31:22.8751189Z                 >>> # Example 2: an operator with data-dependent output shape
2025-12-04T09:31:22.8751695Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-12-04T09:31:22.8752138Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-12-04T09:31:22.8752487Z                 >>>     x_np = x.cpu().numpy()
2025-12-04T09:31:22.8752837Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-12-04T09:31:22.8753232Z                 >>>     return torch.tensor(res, device=x.device)
2025-12-04T09:31:22.8753573Z                 >>>
2025-12-04T09:31:22.8753812Z                 >>> @nonzero.register_fake
2025-12-04T09:31:22.8754125Z                 >>> def _(x):
2025-12-04T09:31:22.8754455Z                 >>> # Number of nonzero-elements is data-dependent.
2025-12-04T09:31:22.8754892Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-12-04T09:31:22.8755327Z                 >>> # we use the ctx object to construct a new symint that
2025-12-04T09:31:22.8755744Z                 >>> # represents the data-dependent size.
2025-12-04T09:31:22.8756113Z                 >>>     ctx = torch.library.get_ctx()
2025-12-04T09:31:22.8756460Z                 >>>     nnz = ctx.new_dynamic_size()
2025-12-04T09:31:22.8756808Z                 >>>     shape = [nnz, x.dim()]
2025-12-04T09:31:22.8757184Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-12-04T09:31:22.8757545Z                 >>>     return result
2025-12-04T09:31:22.8757834Z                 >>>
2025-12-04T09:31:22.8758097Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-12-04T09:31:22.8758471Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:22.8758867Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-12-04T09:31:22.8759277Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-12-04T09:31:22.8759668Z                 >>> assert torch.allclose(out, x.nonzero())
2025-12-04T09:31:22.8759994Z     
2025-12-04T09:31:22.8760188Z             
2025-12-04T09:31:22.8760857Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-12-04T09:31:22.8761586Z     
2025-12-04T09:31:22.8761874Z     _._ = None
2025-12-04T09:31:22.8762095Z     ^
2025-12-04T09:31:22.8762367Z       warnings.warn(msg)
2025-12-04T09:31:22.8762634Z     
2025-12-04T09:31:22.8762967Z --- Parse Warning: 10 / 17 ---
2025-12-04T09:31:22.8764218Z     /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.
2025-12-04T09:31:22.8765582Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-12-04T09:31:22.8766060Z     
2025-12-04T09:31:22.8766415Z     Registers a fake kernel based on the given operator profiles. This fake
2025-12-04T09:31:22.8767027Z     kernel registration will override any existing fake kernel registrations.
2025-12-04T09:31:22.8767475Z     
2025-12-04T09:31:22.8767807Z     The input is a dictionary mapping operator names to a set of operator
2025-12-04T09:31:22.8768383Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-12-04T09:31:22.8768938Z     are a record of the input and output tensor metadata. Based on this
2025-12-04T09:31:22.8769505Z     information we will match a given input to the recorded profile, and return
2025-12-04T09:31:22.8770101Z     an output with the same metadata as in the recorded profile. If a profile
2025-12-04T09:31:22.8770582Z     doesn't exist then an exception will be thrown.
2025-12-04T09:31:22.8770924Z     
2025-12-04T09:31:22.8771276Z     The fake kernel generation is considered unsafe because it relies on the
2025-12-04T09:31:22.8771866Z     rigid, pre-defined operator profiles that do not account for potential
2025-12-04T09:31:22.8772520Z     variations in output behavior. Specifically, the generated kernels assume a
2025-12-04T09:31:22.8773156Z     fixed relationship between input and output ranks. However, in reality, it's
2025-12-04T09:31:22.8773778Z     possible that data-dependent operations may produce outputs of different
2025-12-04T09:31:22.8774356Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-12-04T09:31:22.8774924Z     are inflexible and unable to accommodate these nuances, making them
2025-12-04T09:31:22.8775365Z     potentially unsafe.
2025-12-04T09:31:22.8775612Z     
2025-12-04T09:31:22.8775794Z     Args:
2025-12-04T09:31:22.8776132Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-12-04T09:31:22.8776669Z             name to a set of operator profiles from which we will generate fake
2025-12-04T09:31:22.8777069Z             kernels.
2025-12-04T09:31:22.8777302Z     
2025-12-04T09:31:22.8777500Z     Examples:
2025-12-04T09:31:22.8777860Z     
2025-12-04T09:31:22.8778150Z         >>> # Example: Registering an op-profile from draft-export
2025-12-04T09:31:22.8778534Z         >>> import torch
2025-12-04T09:31:22.8778850Z         >>> from torch.export._draft_export import draft_export
2025-12-04T09:31:22.8779221Z         >>>
2025-12-04T09:31:22.8779531Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-12-04T09:31:22.8779960Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-12-04T09:31:22.8780291Z         >>>     return x + y
2025-12-04T09:31:22.8780556Z         >>>
2025-12-04T09:31:22.8780790Z         >>> class M(torch.nn.Module):
2025-12-04T09:31:22.8781099Z         >>>     def forward(self, a, b):
2025-12-04T09:31:22.8781460Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-12-04T09:31:22.8781819Z         >>>         return res
2025-12-04T09:31:22.8782073Z         >>>
2025-12-04T09:31:22.8782362Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-12-04T09:31:22.8782741Z         >>>
2025-12-04T09:31:22.8783156Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-12-04T09:31:22.8783711Z         >>>     decomp = ep.run_decompositions()
2025-12-04T09:31:22.8784030Z     
2025-12-04T09:31:22.8784213Z     
2025-12-04T09:31:22.8784921Z     Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced')
2025-12-04T09:31:22.8785616Z     
2025-12-04T09:31:22.8785831Z       warnings.warn(msg)
2025-12-04T09:31:22.8786079Z     
2025-12-04T09:31:22.8786401Z --- Parse Warning: 11 / 17 ---
2025-12-04T09:31:22.8787861Z     /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.
2025-12-04T09:31:22.8789446Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8789891Z     
2025-12-04T09:31:22.8790274Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-12-04T09:31:22.8790893Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-12-04T09:31:22.8791487Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-12-04T09:31:22.8791953Z     input by the user.
2025-12-04T09:31:22.8792336Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-12-04T09:31:22.8792829Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-12-04T09:31:22.8793179Z     
2025-12-04T09:31:22.8793381Z     Note::
2025-12-04T09:31:22.8793830Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-12-04T09:31:22.8794345Z     
2025-12-04T09:31:22.8794541Z     Args:
2025-12-04T09:31:22.8794755Z         model (nn.Module):
2025-12-04T09:31:22.8795231Z             The model whose layers will be sparsified. The layers that needs to be
2025-12-04T09:31:22.8795827Z             sparsified should be added separately using the register_layer() function
2025-12-04T09:31:22.8796314Z         aggregate_fn (Optional, Callable):
2025-12-04T09:31:22.8796790Z             default aggregate_fn that is used if not specified while registering the layer.
2025-12-04T09:31:22.8797339Z             specifies how inputs should be aggregated over time.
2025-12-04T09:31:22.8797911Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-12-04T09:31:22.8798406Z             Example
2025-12-04T09:31:22.8798714Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-12-04T09:31:22.8799133Z                 reduce_fn (Optional, Callable):
2025-12-04T09:31:22.8799615Z                     default reduce_fn that is used if not specified while registering the layer.
2025-12-04T09:31:22.8800236Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-12-04T09:31:22.8800739Z                     calling agg_fn() on all inputs.
2025-12-04T09:31:22.8801068Z                     Example
2025-12-04T09:31:22.8801443Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-12-04T09:31:22.8801950Z                 mask_fn (Optional, Callable):
2025-12-04T09:31:22.8802491Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-12-04T09:31:22.8803180Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-12-04T09:31:22.8803654Z                     register_layer().
2025-12-04T09:31:22.8804211Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-12-04T09:31:22.8804778Z                     arguments.
2025-12-04T09:31:22.8805071Z                 features (Optional, list):
2025-12-04T09:31:22.8805413Z                     default selected features to sparsify.
2025-12-04T09:31:22.8805936Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-12-04T09:31:22.8806425Z                     For example,
2025-12-04T09:31:22.8806918Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-12-04T09:31:22.8807419Z                 feature_dim (Optional, int):
2025-12-04T09:31:22.8807928Z                     default dimension of input features. Again, features along this dim will be chosen
2025-12-04T09:31:22.8808444Z                     for sparsification.
2025-12-04T09:31:22.8808755Z                 sparse_config (Dict):
2025-12-04T09:31:22.8809193Z                     Default configuration for the mask_fn. This config will be passed
2025-12-04T09:31:22.8809648Z                     with the mask_fn()
2025-12-04T09:31:22.8809929Z     
2025-12-04T09:31:22.8810140Z     Example:
2025-12-04T09:31:22.8810376Z         >>> # xdoctest: +SKIP
2025-12-04T09:31:22.8810653Z         >>> model = SomeModel()
2025-12-04T09:31:22.8811091Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-12-04T09:31:22.8811579Z         >>> # Initialize aggregate_fn
2025-12-04T09:31:22.8811879Z         >>> def agg_fn(x, y):
2025-12-04T09:31:22.8812164Z         >>>     return x + y
2025-12-04T09:31:22.8812428Z         >>>
2025-12-04T09:31:22.8812655Z         >>> # Initialize reduce_fn
2025-12-04T09:31:22.8812939Z         >>> def reduce_fn(x):
2025-12-04T09:31:22.8813230Z         >>>     return torch.mean(x, dim=0)
2025-12-04T09:31:22.8813533Z         >>>
2025-12-04T09:31:22.8813742Z         >>> # Initialize mask_fn
2025-12-04T09:31:22.8814032Z         >>> def mask_fn(data):
2025-12-04T09:31:22.8814353Z         >>>     return torch.eye(data.shape).to(data.device)
2025-12-04T09:31:22.8814686Z         >>>
2025-12-04T09:31:22.8814889Z         >>>
2025-12-04T09:31:22.8815206Z         >>> act_sparsifier.register_layer(
2025-12-04T09:31:22.8815524Z         ...     model.some_layer,
2025-12-04T09:31:22.8815818Z         ...     aggregate_fn=agg_fn,
2025-12-04T09:31:22.8816121Z         ...     reduce_fn=reduce_fn,
2025-12-04T09:31:22.8816403Z         ...     mask_fn=mask_fn,
2025-12-04T09:31:22.8816672Z         ... )
2025-12-04T09:31:22.8816882Z         >>>
2025-12-04T09:31:22.8817094Z         >>> # start training process
2025-12-04T09:31:22.8817391Z         >>> for _ in [...]:
2025-12-04T09:31:22.8817656Z         >>> # epoch starts
2025-12-04T09:31:22.8817997Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-12-04T09:31:22.8818370Z         >>> # epoch ends
2025-12-04T09:31:22.8818641Z         >>>     act_sparsifier.step()
2025-12-04T09:31:22.8818953Z         >>> # end training process
2025-12-04T09:31:22.8819252Z         >>> sparsifier.squash_mask()
2025-12-04T09:31:22.8819537Z     
2025-12-04T09:31:22.8820160Z     Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('<source_block>', 26, 1, '_._ = None\n', 26, 2))
2025-12-04T09:31:22.8820860Z     
2025-12-04T09:31:22.8821053Z     _._ = None
2025-12-04T09:31:22.8821269Z     ^
2025-12-04T09:31:22.8821468Z       warnings.warn(msg)
2025-12-04T09:31:22.8821716Z     
2025-12-04T09:31:22.8822044Z --- Parse Warning: 12 / 17 ---
2025-12-04T09:31:22.8823264Z     /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.
2025-12-04T09:31:22.8824591Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8825044Z     
2025-12-04T09:31:22.8825426Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-12-04T09:31:22.8826082Z     The submesh created consists of the dimensions and the communicators indicated by
2025-12-04T09:31:22.8826567Z     ``mesh_dim_names``
2025-12-04T09:31:22.8826806Z     
2025-12-04T09:31:22.8826987Z     Args:
2025-12-04T09:31:22.8827340Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-12-04T09:31:22.8827889Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-12-04T09:31:22.8828275Z     Returns:
2025-12-04T09:31:22.8828549Z         A :class:`DeviceMesh` object
2025-12-04T09:31:22.8828847Z     
2025-12-04T09:31:22.8829244Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-12-04T09:31:22.8829744Z     In the first example:
2025-12-04T09:31:22.8830173Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-12-04T09:31:22.8830796Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-12-04T09:31:22.8831389Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-12-04T09:31:22.8831951Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-12-04T09:31:22.8832516Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-12-04T09:31:22.8833083Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-12-04T09:31:22.8833493Z     
2025-12-04T09:31:22.8833708Z     In the second example:
2025-12-04T09:31:22.8834153Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-12-04T09:31:22.8834807Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-12-04T09:31:22.8835450Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-12-04T09:31:22.8836099Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-12-04T09:31:22.8836623Z     
2025-12-04T09:31:22.8836814Z     Example::
2025-12-04T09:31:22.8837026Z     
2025-12-04T09:31:22.8837246Z         >>> # xdoctest: +SKIP("no rank")
2025-12-04T09:31:22.8837625Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-12-04T09:31:22.8838000Z         >>>
2025-12-04T09:31:22.8838328Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-12-04T09:31:22.8838797Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-12-04T09:31:22.8839302Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:22.8839786Z         >>> tp_mesh = mesh_2d["tp"]
2025-12-04T09:31:22.8840096Z         >>> dp_mesh = mesh_2d["dp"]
2025-12-04T09:31:22.8840369Z         >>>
2025-12-04T09:31:22.8840592Z         >>> # Initialize a 3D mesh.
2025-12-04T09:31:22.8841073Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-12-04T09:31:22.8841871Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-12-04T09:31:22.8842420Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-12-04T09:31:22.8842757Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-12-04T09:31:22.8843064Z     
2025-12-04T09:31:22.8843865Z     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))
2025-12-04T09:31:22.8844753Z     
2025-12-04T09:31:22.8845126Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-12-04T09:31:22.8845610Z                                                                                      ^
2025-12-04T09:31:22.8845964Z       warnings.warn(msg)
2025-12-04T09:31:22.8846222Z     
2025-12-04T09:31:22.8846536Z --- Parse Warning: 13 / 17 ---
2025-12-04T09:31:22.8847754Z     /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.
2025-12-04T09:31:22.8849112Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8849577Z     
2025-12-04T09:31:22.8850043Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-12-04T09:31:22.8850546Z     
2025-12-04T09:31:22.8850967Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-12-04T09:31:22.8851476Z     
2025-12-04T09:31:22.8851864Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:22.8852392Z     will be visible to the whole process.
2025-12-04T09:31:22.8852706Z     
2025-12-04T09:31:22.8853094Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-12-04T09:31:22.8853587Z     
2025-12-04T09:31:22.8853829Z     1) set_up_planner - called on all ranks.
2025-12-04T09:31:22.8854177Z         Signals the start of a checkpoint save.
2025-12-04T09:31:22.8854501Z     
2025-12-04T09:31:22.8854738Z     2) create_local_plan - called on all ranks.
2025-12-04T09:31:22.8855256Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-12-04T09:31:22.8855752Z     
2025-12-04T09:31:22.8856045Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:22.8856541Z         Takes the SavePlan from all ranks and make any global decision.
2025-12-04T09:31:22.8856927Z     
2025-12-04T09:31:22.8857150Z     4) finish_plan - called on all ranks.
2025-12-04T09:31:22.8857588Z         This gives each rank a chance to adjust to global planning decisions.
2025-12-04T09:31:22.8858001Z     
2025-12-04T09:31:22.8858271Z     5) resolve_data - called multiple times on each rank
2025-12-04T09:31:22.8858742Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-12-04T09:31:22.8859198Z     
2025-12-04T09:31:22.8859622Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-12-04T09:31:22.8860240Z     most changes can be expressed by changes in a single method.
2025-12-04T09:31:22.8860629Z     
2025-12-04T09:31:22.8860855Z     There are 3 usual patterns of extension:
2025-12-04T09:31:22.8861177Z     
2025-12-04T09:31:22.8861549Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-12-04T09:31:22.8862149Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-12-04T09:31:22.8862583Z     
2025-12-04T09:31:22.8862808Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:22.8863158Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-12-04T09:31:22.8863509Z     >>>     def set_up_planner(
2025-12-04T09:31:22.8863784Z     >>>         self,
2025-12-04T09:31:22.8864034Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:22.8864388Z     >>>         storage_meta: Optional[StorageMeta],
2025-12-04T09:31:22.8864737Z     >>>         is_coordinator: bool,
2025-12-04T09:31:22.8865040Z     >>>     ) -> None:
2025-12-04T09:31:22.8865292Z     >>> # prefix all keys with `foo_``
2025-12-04T09:31:22.8865803Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-12-04T09:31:22.8866303Z     
2025-12-04T09:31:22.8866743Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-12-04T09:31:22.8867287Z     
2025-12-04T09:31:22.8867516Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:22.8867859Z     >>> class FP16Planner(DefaultSavePlanner):
2025-12-04T09:31:22.8868208Z     >>>     def create_local_plan(self):
2025-12-04T09:31:22.8868547Z     >>>         plan = super().create_local_plan()
2025-12-04T09:31:22.8868883Z     >>>         for p in plan:
2025-12-04T09:31:22.8869174Z     >>>             if p.tensor_data is not None:
2025-12-04T09:31:22.8869570Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-12-04T09:31:22.8869943Z     >>>         return plan
2025-12-04T09:31:22.8870188Z     >>>
2025-12-04T09:31:22.8870423Z     >>>     def resolve_data(self, write_item):
2025-12-04T09:31:22.8870782Z     >>>         item = super().resolve_data(write_item)
2025-12-04T09:31:22.8871353Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-12-04T09:31:22.8871835Z     
2025-12-04T09:31:22.8872301Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-12-04T09:31:22.8872857Z     
2025-12-04T09:31:22.8873072Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:22.8873416Z     >>> from itertools import zip_longest
2025-12-04T09:31:22.8873755Z     >>> from dataclasses import replace
2025-12-04T09:31:22.8874130Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-12-04T09:31:22.8874694Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-12-04T09:31:22.8875220Z     >>> # This sample doesn't handle ShardedTensors
2025-12-04T09:31:22.8875586Z     >>>     def create_global_plan(self, all_plans):
2025-12-04T09:31:22.8875980Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-12-04T09:31:22.8876355Z     >>>         items_per_rank = [
2025-12-04T09:31:22.8876689Z     >>>             [item for item in items if item is not None]
2025-12-04T09:31:22.8877094Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-12-04T09:31:22.8877455Z     >>>         ]
2025-12-04T09:31:22.8877859Z     >>>         all_plans = [
2025-12-04T09:31:22.8878145Z     >>>             replace(plan, items=items)
2025-12-04T09:31:22.8878566Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-12-04T09:31:22.8878975Z     >>>         ]
2025-12-04T09:31:22.8879246Z     >>>         return super().create_global_plan(all_plans)
2025-12-04T09:31:22.8879686Z     
2025-12-04T09:31:22.8880072Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-12-04T09:31:22.8880729Z     accomplished by having each rank contribute their data items in the local plan and
2025-12-04T09:31:22.8881246Z     the global planner aggregate them:
2025-12-04T09:31:22.8881549Z     
2025-12-04T09:31:22.8881849Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:22.8882223Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-12-04T09:31:22.8882631Z     >>>     def create_local_plan(self) -> SavePlan:
2025-12-04T09:31:22.8883001Z     >>>         plan = super().create_local_plan()
2025-12-04T09:31:22.8883393Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-12-04T09:31:22.8883769Z     >>>
2025-12-04T09:31:22.8884197Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-12-04T09:31:22.8884831Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-12-04T09:31:22.8885305Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-12-04T09:31:22.8885759Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-12-04T09:31:22.8886162Z     >>>         return global_plan, metadata
2025-12-04T09:31:22.8886455Z     
2025-12-04T09:31:22.8887119Z     Original Error: IndentationError('expected an indented block after function definition on line 3', ('<source_block>', 9, 0, '_._ = None\n', 9, -1))
2025-12-04T09:31:22.8887871Z     
2025-12-04T09:31:22.8888062Z     _._ = None
2025-12-04T09:31:22.8888290Z     ^
2025-12-04T09:31:22.8888509Z       warnings.warn(msg)
2025-12-04T09:31:22.8888750Z     
2025-12-04T09:31:22.8889077Z --- Parse Warning: 14 / 17 ---
2025-12-04T09:31:22.8890344Z     /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.
2025-12-04T09:31:22.8904479Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8904960Z     
2025-12-04T09:31:22.8905377Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-12-04T09:31:22.8905872Z     
2025-12-04T09:31:22.8906471Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-12-04T09:31:22.8906979Z     
2025-12-04T09:31:22.8907382Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-12-04T09:31:22.8907898Z     will be visible to the whole process.
2025-12-04T09:31:22.8908211Z     
2025-12-04T09:31:22.8908608Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-12-04T09:31:22.8909081Z     
2025-12-04T09:31:22.8909319Z     1) set_up_planner - called on all ranks.
2025-12-04T09:31:22.8909689Z         Signals the start of loading a checkpoint.
2025-12-04T09:31:22.8910007Z     
2025-12-04T09:31:22.8910243Z     2) create_local_plan - called on all ranks.
2025-12-04T09:31:22.8910769Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-12-04T09:31:22.8911267Z     
2025-12-04T09:31:22.8911554Z     3) create_global_plan - called on the coordinator rank only.
2025-12-04T09:31:22.8912054Z         Takes the LoadPlan from all ranks and make any global decision.
2025-12-04T09:31:22.8912454Z     
2025-12-04T09:31:22.8912703Z     4) load_bytes - called multiple times on each rank
2025-12-04T09:31:22.8913132Z         This is called once per non-tensor value in state_dict.
2025-12-04T09:31:22.8913501Z     
2025-12-04T09:31:22.8913830Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-12-04T09:31:22.8914357Z         They are called in pair for each Tensor value in state_dict.
2025-12-04T09:31:22.8914734Z     
2025-12-04T09:31:22.8915208Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-12-04T09:31:22.8915825Z     most changes can be expressed by changes in a single method.
2025-12-04T09:31:22.8916215Z     
2025-12-04T09:31:22.8916459Z     There are two usual patterns of extension:
2025-12-04T09:31:22.8916773Z     
2025-12-04T09:31:22.8917150Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-12-04T09:31:22.8917799Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-12-04T09:31:22.8918400Z     to keep a reference to the original state_dict as load happens in place so
2025-12-04T09:31:22.8918880Z     we need to be able to perform it in place
2025-12-04T09:31:22.8919197Z     
2025-12-04T09:31:22.8919413Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:22.8919776Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-12-04T09:31:22.8920129Z     >>>     def set_up_planner(
2025-12-04T09:31:22.8920405Z     >>>         self,
2025-12-04T09:31:22.8920662Z     >>>         state_dict: STATE_DICT_TYPE,
2025-12-04T09:31:22.8920989Z     >>>         metadata: Metadata,
2025-12-04T09:31:22.8921302Z     >>>         is_coordinator: bool,
2025-12-04T09:31:22.8921589Z     >>>     ) -> None:
2025-12-04T09:31:22.8921994Z     >>>         self.original_state_dict = state_dict
2025-12-04T09:31:22.8922421Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-12-04T09:31:22.8922796Z     >>>
2025-12-04T09:31:22.8923036Z     >>>         if self.flatten_sharded_tensors:
2025-12-04T09:31:22.8923423Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-12-04T09:31:22.8923774Z     >>>
2025-12-04T09:31:22.8924001Z     >>>         if self.flatten_state_dict:
2025-12-04T09:31:22.8924405Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-12-04T09:31:22.8924803Z     >>>
2025-12-04T09:31:22.8925021Z     >>>         self.state_dict = state_dict
2025-12-04T09:31:22.8925358Z     >>>         self.metadata = metadata
2025-12-04T09:31:22.8925696Z     >>>         self.is_coordinator = is_coordinator
2025-12-04T09:31:22.8926010Z     >>>
2025-12-04T09:31:22.8926247Z     >>>     def load_bytes(self, read_item, value):
2025-12-04T09:31:22.8926590Z     >>> # Remove the "foo_" prefix
2025-12-04T09:31:22.8927170Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-12-04T09:31:22.8927703Z     
2025-12-04T09:31:22.8927898Z     
2025-12-04T09:31:22.8928262Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-12-04T09:31:22.8928733Z     
2025-12-04T09:31:22.8928959Z     >>> # xdoctest: +SKIP("undefined vars")
2025-12-04T09:31:22.8929348Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-12-04T09:31:22.8929733Z     >>>     def resolve_tensor(self, read_item):
2025-12-04T09:31:22.8930125Z     >>>         tensor = super().resolve_tensor(read_item)
2025-12-04T09:31:22.8930533Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-12-04T09:31:22.8930873Z     >>>
2025-12-04T09:31:22.8931120Z     >>>     def commit_tensor(self, read_item, tensor):
2025-12-04T09:31:22.8931521Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-12-04T09:31:22.8931867Z     
2025-12-04T09:31:22.8932529Z     Original Error: IndentationError('expected an indented block after function definition on line 22', ('<source_block>', 23, 0, '_._ = None\n', 23, -1))
2025-12-04T09:31:22.8933275Z     
2025-12-04T09:31:22.8933472Z     _._ = None
2025-12-04T09:31:22.8933675Z     ^
2025-12-04T09:31:22.8933885Z       warnings.warn(msg)
2025-12-04T09:31:22.8934138Z     
2025-12-04T09:31:22.8934474Z --- Parse Warning: 15 / 17 ---
2025-12-04T09:31:22.8935693Z     /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.
2025-12-04T09:31:22.8937088Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8937531Z     
2025-12-04T09:31:22.8937857Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-12-04T09:31:22.8938383Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-12-04T09:31:22.8938909Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-12-04T09:31:22.8939447Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-12-04T09:31:22.8939986Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-12-04T09:31:22.8940391Z     follows:
2025-12-04T09:31:22.8940580Z     
2025-12-04T09:31:22.8940809Z         >>> # xdoctest: +SKIP("undefined variables")
2025-12-04T09:31:22.8941281Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-12-04T09:31:22.8941758Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-12-04T09:31:22.8942211Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-12-04T09:31:22.8942751Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-12-04T09:31:22.8943204Z         >>>     state = fsdp.state_dict()
2025-12-04T09:31:22.8943619Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-12-04T09:31:22.8944199Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-12-04T09:31:22.8944794Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-12-04T09:31:22.8945253Z         >>> if dist.get_rank() == 0:
2025-12-04T09:31:22.8945627Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-12-04T09:31:22.8946073Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-12-04T09:31:22.8946450Z         >>>     model.load_state_dict(state_dict)
2025-12-04T09:31:22.8946912Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-12-04T09:31:22.8947522Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-12-04T09:31:22.8947985Z         >>> fsdp = FSDP(
2025-12-04T09:31:22.8948228Z         ...     model,
2025-12-04T09:31:22.8948515Z         ...     device_id=torch.cuda.current_device(),
2025-12-04T09:31:22.8948923Z         ...     auto_wrap_policy=...,
2025-12-04T09:31:22.8949239Z         ...     sync_module_states=True,
2025-12-04T09:31:22.8949527Z         ... )
2025-12-04T09:31:22.8949869Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-12-04T09:31:22.8950291Z     
2025-12-04T09:31:22.8950483Z     Attributes:
2025-12-04T09:31:22.8950825Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-12-04T09:31:22.8951348Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-12-04T09:31:22.8951815Z             ranks save the full state dict. (Default: ``False``)
2025-12-04T09:31:22.8952173Z     
2025-12-04T09:31:22.8952794Z     Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('<source_block>', 11, 1, '_._ = None\n', 11, 2))
2025-12-04T09:31:22.8953496Z     
2025-12-04T09:31:22.8953681Z     _._ = None
2025-12-04T09:31:22.8953895Z     ^
2025-12-04T09:31:22.8954100Z       warnings.warn(msg)
2025-12-04T09:31:22.8954340Z     
2025-12-04T09:31:22.8954640Z --- Parse Warning: 16 / 17 ---
2025-12-04T09:31:22.8955863Z     /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.
2025-12-04T09:31:22.8957200Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.8957734Z     Register a parametrization to a tensor in a module.
2025-12-04T09:31:22.8958082Z     
2025-12-04T09:31:22.8958531Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-12-04T09:31:22.8959203Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-12-04T09:31:22.8959873Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-12-04T09:31:22.8960561Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-12-04T09:31:22.8961046Z     
2025-12-04T09:31:22.8961479Z         The first time that a module registers a parametrization, this function will add an attribute
2025-12-04T09:31:22.8962267Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-12-04T09:31:22.8962719Z     
2025-12-04T09:31:22.8963082Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-12-04T09:31:22.8963593Z         ``module.parametrizations.weight``.
2025-12-04T09:31:22.8963912Z     
2025-12-04T09:31:22.8964152Z         The original tensor will be accessible under
2025-12-04T09:31:22.8964556Z         ``module.parametrizations.weight.original``.
2025-12-04T09:31:22.8964902Z     
2025-12-04T09:31:22.8965267Z         Parametrizations may be concatenated by registering several parametrizations
2025-12-04T09:31:22.8965761Z         on the same attribute.
2025-12-04T09:31:22.8966025Z     
2025-12-04T09:31:22.8966375Z         The training mode of a registered parametrization is updated on registration
2025-12-04T09:31:22.8966883Z         to match the training mode of the host module
2025-12-04T09:31:22.8967214Z     
2025-12-04T09:31:22.8967636Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-12-04T09:31:22.8968181Z         using the context manager :func:`cached`.
2025-12-04T09:31:22.8968507Z     
2025-12-04T09:31:22.8968864Z         A :attr:`parametrization` may optionally implement a method with signature
2025-12-04T09:31:22.8969303Z     
2025-12-04T09:31:22.8969536Z         .. code-block:: python
2025-12-04T09:31:22.8969804Z     
2025-12-04T09:31:22.8970118Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-12-04T09:31:22.8970544Z     
2025-12-04T09:31:22.8970920Z         This method is called on the unparametrized tensor when the first parametrization
2025-12-04T09:31:22.8971591Z         is registered to compute the initial value of the original tensor.
2025-12-04T09:31:22.8972222Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-12-04T09:31:22.8972740Z     
2025-12-04T09:31:22.8973171Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-12-04T09:31:22.8973891Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-12-04T09:31:22.8974385Z     
2025-12-04T09:31:22.8974730Z         It is possible for the first parametrization to depend on several inputs.
2025-12-04T09:31:22.8975334Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-12-04T09:31:22.8975923Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-12-04T09:31:22.8976365Z     
2025-12-04T09:31:22.8976813Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-12-04T09:31:22.8977397Z         with names ``original0``, ``original1``,...
2025-12-04T09:31:22.8977890Z     
2025-12-04T09:31:22.8978093Z         .. note::
2025-12-04T09:31:22.8978299Z     
2025-12-04T09:31:22.8978677Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-12-04T09:31:22.8979221Z             once to perform a number of consistency checks.
2025-12-04T09:31:22.8979762Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-12-04T09:31:22.8980265Z             and nothing will be called otherwise.
2025-12-04T09:31:22.8980584Z     
2025-12-04T09:31:22.8980882Z         .. note::
2025-12-04T09:31:22.8981091Z     
2025-12-04T09:31:22.8981412Z             In most situations, ``right_inverse`` will be a function such that
2025-12-04T09:31:22.8981861Z             ``forward(right_inverse(X)) == X`` (see
2025-12-04T09:31:22.8982385Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-12-04T09:31:22.8983049Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-12-04T09:31:22.8983526Z             to relax this.
2025-12-04T09:31:22.8983766Z     
2025-12-04T09:31:22.8983963Z         .. warning::
2025-12-04T09:31:22.8984188Z     
2025-12-04T09:31:22.8984577Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-12-04T09:31:22.8985229Z             will register a number of new parameters. If such parametrization is registered
2025-12-04T09:31:22.8985886Z             after the optimizer is created, these new parameters will need to be added manually
2025-12-04T09:31:22.8986483Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-12-04T09:31:22.8986869Z     
2025-12-04T09:31:22.8987062Z         Args:
2025-12-04T09:31:22.8987401Z             module (nn.Module): module on which to register the parametrization
2025-12-04T09:31:22.8987948Z             tensor_name (str): name of the parameter or buffer on which to register
2025-12-04T09:31:22.8988393Z                 the parametrization
2025-12-04T09:31:22.8988803Z             parametrization (nn.Module): the parametrization to register
2025-12-04T09:31:22.8989226Z         Keyword args:
2025-12-04T09:31:22.8989587Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-12-04T09:31:22.8990122Z                 may change the dtype and shape of the tensor. Default: `False`
2025-12-04T09:31:22.8990729Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-12-04T09:31:22.8991234Z                 Enable this flag at your own risk.
2025-12-04T09:31:22.8991557Z     
2025-12-04T09:31:22.8991757Z         Raises:
2025-12-04T09:31:22.8992181Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-12-04T09:31:22.8992666Z     
2025-12-04T09:31:22.8992862Z         Examples:
2025-12-04T09:31:22.8993247Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-12-04T09:31:22.8993601Z             >>> import torch
2025-12-04T09:31:22.8993884Z             >>> import torch.nn as nn
2025-12-04T09:31:22.8994227Z             >>> import torch.nn.utils.parametrize as P
2025-12-04T09:31:22.8994556Z             >>>
2025-12-04T09:31:22.8994801Z             >>> class Symmetric(nn.Module):
2025-12-04T09:31:22.8995126Z             >>>     def forward(self, X):
2025-12-04T09:31:22.8995511Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-12-04T09:31:22.8995894Z             >>>
2025-12-04T09:31:22.8996142Z             >>>     def right_inverse(self, A):
2025-12-04T09:31:22.8996471Z             >>>         return A.triu()
2025-12-04T09:31:22.8996747Z             >>>
2025-12-04T09:31:22.8996977Z             >>> m = nn.Linear(5, 5)
2025-12-04T09:31:22.8997339Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-12-04T09:31:22.8997858Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-12-04T09:31:22.8998310Z             True
2025-12-04T09:31:22.8998546Z             >>> A = torch.rand(5, 5)
2025-12-04T09:31:22.8998845Z             >>> A = A + A.T  # A is now symmetric
2025-12-04T09:31:22.8999272Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-12-04T09:31:22.8999719Z             >>> print(torch.allclose(m.weight, A))
2025-12-04T09:31:22.9000040Z             True
2025-12-04T09:31:22.9000247Z     
2025-12-04T09:31:22.9000464Z             >>> class RankOne(nn.Module):
2025-12-04T09:31:22.9000791Z             >>>     def forward(self, x, y):
2025-12-04T09:31:22.9001200Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-12-04T09:31:22.9001594Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-12-04T09:31:22.9002026Z             >>>
2025-12-04T09:31:22.9002258Z             >>>     def right_inverse(self, Z):
2025-12-04T09:31:22.9002608Z             >>> # Project Z onto the rank 1 matrices
2025-12-04T09:31:22.9002998Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-12-04T09:31:22.9003386Z             >>> # Return rescaled singular vectors
2025-12-04T09:31:22.9003746Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-12-04T09:31:22.9004140Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-12-04T09:31:22.9004496Z             >>>
2025-12-04T09:31:22.9004765Z             >>> linear_rank_one = P.register_parametrization(
2025-12-04T09:31:22.9005158Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-12-04T09:31:22.9005481Z             ... )
2025-12-04T09:31:22.9005810Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-12-04T09:31:22.9006217Z             1
2025-12-04T09:31:22.9006423Z     
2025-12-04T09:31:22.9006602Z         
2025-12-04T09:31:22.9007266Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 3, 0, '_._ = None\n', 3, -1))
2025-12-04T09:31:22.9007996Z     
2025-12-04T09:31:22.9008189Z     _._ = None
2025-12-04T09:31:22.9008394Z     ^
2025-12-04T09:31:22.9008605Z       warnings.warn(msg)
2025-12-04T09:31:22.9008857Z     
2025-12-04T09:31:22.9009174Z --- Parse Warning: 17 / 17 ---
2025-12-04T09:31:22.9010367Z     /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.
2025-12-04T09:31:22.9011681Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-12-04T09:31:22.9012240Z     Reduce learning rate when a metric has stopped improving.
2025-12-04T09:31:22.9012608Z     
2025-12-04T09:31:22.9012920Z         Models often benefit from reducing the learning rate by a factor
2025-12-04T09:31:22.9013433Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-12-04T09:31:22.9013991Z         quantity and if no improvement is seen for a 'patience' number
2025-12-04T09:31:22.9014432Z         of epochs, the learning rate is reduced.
2025-12-04T09:31:22.9014748Z     
2025-12-04T09:31:22.9014938Z         Args:
2025-12-04T09:31:22.9015201Z             optimizer (Optimizer): Wrapped optimizer.
2025-12-04T09:31:22.9015608Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-12-04T09:31:22.9016031Z                 be reduced when the quantity monitored has stopped
2025-12-04T09:31:22.9016477Z                 decreasing; in `max` mode it will be reduced when the
2025-12-04T09:31:22.9016954Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-12-04T09:31:22.9017440Z             factor (float): Factor by which the learning rate will be
2025-12-04T09:31:22.9017863Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-12-04T09:31:22.9018331Z             patience (int): The number of allowed epochs with no improvement after
2025-12-04T09:31:22.9018810Z                 which the learning rate will be reduced.
2025-12-04T09:31:22.9019271Z                 For example, consider the case of having no patience (`patience = 0`).
2025-12-04T09:31:22.9019990Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-12-04T09:31:22.9020681Z                 In the second epoch, if the performance is worse than the baseline,
2025-12-04T09:31:22.9021161Z                 we have what is considered an intolerable epoch.
2025-12-04T09:31:22.9021683Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-12-04T09:31:22.9022296Z                 the learning rate is reduced at the end of this epoch.
2025-12-04T09:31:22.9022907Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-12-04T09:31:22.9023678Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-12-04T09:31:22.9024228Z                 the learning rate is not adjusted.
2025-12-04T09:31:22.9024558Z                 Default: 10.
2025-12-04T09:31:22.9024923Z             threshold (float): Threshold for measuring the new optimum,
2025-12-04T09:31:22.9025386Z                 to only focus on significant changes. Default: 1e-4.
2025-12-04T09:31:22.9025842Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-12-04T09:31:22.9026297Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-12-04T09:31:22.9026715Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-12-04T09:31:22.9027126Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-12-04T09:31:22.9027577Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-12-04T09:31:22.9028049Z             cooldown (int): Number of epochs to wait before resuming
2025-12-04T09:31:22.9028508Z                 normal operation after lr has been reduced. Default: 0.
2025-12-04T09:31:22.9028965Z             min_lr (float or list): A scalar or a list of scalars. A
2025-12-04T09:31:22.9029407Z                 lower bound on the learning rate of all param groups
2025-12-04T09:31:22.9029825Z                 or each group respectively. Default: 0.
2025-12-04T09:31:22.9030237Z             eps (float): Minimal decay applied to lr. If the difference
2025-12-04T09:31:22.9030712Z                 between new and old lr is smaller than eps, the update is
2025-12-04T09:31:22.9031117Z                 ignored. Default: 1e-8.
2025-12-04T09:31:22.9031403Z     
2025-12-04T09:31:22.9031600Z         Example:
2025-12-04T09:31:22.9031837Z             >>> # xdoctest: +SKIP
2025-12-04T09:31:22.9032254Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-12-04T09:31:22.9032768Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-12-04T09:31:22.9033148Z             >>> for epoch in range(10):
2025-12-04T09:31:22.9033508Z             >>>     train(...)
2025-12-04T09:31:22.9033786Z             >>>     val_loss = validate(...)
2025-12-04T09:31:22.9034148Z             >>> # Note that step should be called after validate()
2025-12-04T09:31:22.9034532Z             >>>     scheduler.step(val_loss)
2025-12-04T09:31:22.9034821Z     
2025-12-04T09:31:22.9035131Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-12-04T09:31:22.9035522Z         
2025-12-04T09:31:22.9036045Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-12-04T09:31:22.9036666Z     
2025-12-04T09:31:22.9036881Z         scheduler.step(val_loss)
2025-12-04T09:31:22.9037147Z        ^
2025-12-04T09:31:22.9037357Z       warnings.warn(msg)
2025-12-04T09:31:22.9037603Z     
2025-12-04T09:31:22.9037823Z 
2025-12-04T09:31:22.9038107Z === Found 10 run-time warnings ===
2025-12-04T09:31:22.9038512Z --- Runtime Warning: 1 / 10 ---
2025-12-04T09:31:22.9038939Z example = <DocTest(torch is_storage:0 ln 1157) at 0x7f570d1efb20>
2025-12-04T09:31:22.9040719Z     <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()
2025-12-04T09:31:22.9042510Z     
2025-12-04T09:31:22.9042809Z --- Runtime Warning: 2 / 10 ---
2025-12-04T09:31:22.9043375Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1374) at 0x7f570d163e20>
2025-12-04T09:31:22.9045122Z     /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.)
2025-12-04T09:31:22.9046713Z       return super().refine_names(names)
2025-12-04T09:31:22.9047016Z     
2025-12-04T09:31:22.9047306Z --- Runtime Warning: 3 / 10 ---
2025-12-04T09:31:22.9047841Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 239) at 0x7f570d016140>
2025-12-04T09:31:22.9048910Z     /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.
2025-12-04T09:31:22.9049981Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-12-04T09:31:22.9050620Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-12-04T09:31:22.9051227Z         registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2025-12-04T09:31:22.9051743Z       dispatch key: CPU
2025-12-04T09:31:22.9052343Z       previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-12-04T09:31:22.9053907Z            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.)
2025-12-04T09:31:22.9055175Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-12-04T09:31:22.9055525Z     
2025-12-04T09:31:22.9055816Z --- Runtime Warning: 4 / 10 ---
2025-12-04T09:31:22.9056298Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x7f570d04bd30>
2025-12-04T09:31:22.9058584Z     /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.)
2025-12-04T09:31:22.9060812Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-12-04T09:31:22.9061261Z     
2025-12-04T09:31:22.9061553Z --- Runtime Warning: 5 / 10 ---
2025-12-04T09:31:22.9062031Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x7f570d161120>
2025-12-04T09:31:22.9064054Z     <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.)
2025-12-04T09:31:22.9065874Z     
2025-12-04T09:31:22.9066159Z --- Runtime Warning: 6 / 10 ---
2025-12-04T09:31:22.9066691Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1705) at 0x7f570d15b940>
2025-12-04T09:31:22.9068659Z     /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
2025-12-04T09:31:22.9070467Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-12-04T09:31:22.9070896Z     
2025-12-04T09:31:22.9071187Z --- Runtime Warning: 7 / 10 ---
2025-12-04T09:31:22.9071702Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 91) at 0x7f570d032560>
2025-12-04T09:31:22.9073224Z     /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)
2025-12-04T09:31:22.9074560Z       self.encoder = TransformerEncoder(
2025-12-04T09:31:22.9074857Z     
2025-12-04T09:31:22.9075140Z --- Runtime Warning: 8 / 10 ---
2025-12-04T09:31:22.9075707Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 345) at 0x7f570d030e50>
2025-12-04T09:31:22.9077386Z     <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)
2025-12-04T09:31:22.9079000Z     
2025-12-04T09:31:22.9079284Z --- Runtime Warning: 9 / 10 ---
2025-12-04T09:31:22.9079796Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x7f570d049930>
2025-12-04T09:31:22.9081019Z     /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`.
2025-12-04T09:31:22.9082129Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:31:22.9082439Z     
2025-12-04T09:31:22.9082732Z --- Runtime Warning: 10 / 10 ---
2025-12-04T09:31:22.9083271Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x7f570d049c30>
2025-12-04T09:31:22.9084503Z     /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`.
2025-12-04T09:31:22.9085553Z       WeightNorm.apply(module, name, dim)
2025-12-04T09:31:22.9085857Z     
2025-12-04T09:31:22.9086240Z === 378 passed, 516 skipped, 27 warnings in 20.55 seconds ===
2025-12-04T09:31:22.9086914Z Finished doctests 1/1 ... [2025-12-04 09:31:22.850233][1140.322460964], took 0.34min
2025-12-04T09:31:22.9087547Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:31:22.851914][1140.324150596]
2025-12-04T09:31:22.9088056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:22.9089336Z 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 09:31:22.852253]
2025-12-04T09:31:30.3675873Z 
2025-12-04T09:31:30.3676987Z 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_d7e8968997304a32_.log
2025-12-04T09:31:30.3677990Z 
2025-12-04T09:31:30.3678460Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:31:30.367515][1147.839747361], took 0.13min
2025-12-04T09:31:30.3692307Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:31:30.369062][1147.841297635]
2025-12-04T09:31:30.3692915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:30.3696244Z 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 09:31:30.369405]
2025-12-04T09:31:38.2855479Z 
2025-12-04T09:31:38.2856809Z 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_3eb9803616ba4902_.log
2025-12-04T09:31:38.2857704Z Running 0 items in this shard:
2025-12-04T09:31:38.2857897Z 
2025-12-04T09:31:38.2858234Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:31:38.285384][1155.757617701], took 0.13min
2025-12-04T09:31:38.2868039Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-f75d35fdc6381720.xml
2025-12-04T09:31:38.3499331Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:31:38.349705][1155.821939162]
2025-12-04T09:31:38.3499904Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:38.3502959Z 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 09:31:38.350059]
2025-12-04T09:31:46.0120486Z 
2025-12-04T09:31:46.0121489Z 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_24e6c9a8430b6899_.log
2025-12-04T09:31:46.0122527Z Running 0 items in this shard:
2025-12-04T09:31:46.0122722Z 
2025-12-04T09:31:46.0123084Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:31:46.011888][1163.48412041], took 0.13min
2025-12-04T09:31:46.0136221Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-7c05033d6f9c3aa9.xml
2025-12-04T09:31:46.0857985Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:31:46.085532][1163.557763629]
2025-12-04T09:31:46.0858534Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:46.0861386Z 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 09:31:46.085894]
2025-12-04T09:31:49.5001847Z 
2025-12-04T09:31:49.5003185Z 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_723a4344fe2756b3_.log
2025-12-04T09:31:49.5004089Z Running 0 items in this shard:
2025-12-04T09:31:49.5004284Z 
2025-12-04T09:31:49.5004623Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:31:49.500013][1166.972246888], took 0.06min
2025-12-04T09:31:49.5018992Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-9052514eb2fb3cc5.xml
2025-12-04T09:31:49.5288641Z Running test_sort_and_select 1/1 ... [2025-12-04 09:31:49.528679][1167.000911448]
2025-12-04T09:31:49.5289150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:49.5292565Z 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 09:31:49.529035]
2025-12-04T09:31:53.3338598Z 
2025-12-04T09:31:53.3339516Z 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_3dba15a71020c426_.log
2025-12-04T09:31:53.3340304Z Running 0 items in this shard:
2025-12-04T09:31:53.3340495Z 
2025-12-04T09:31:53.3340785Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:31:53.333659][1170.805892282], took 0.06min
2025-12-04T09:31:53.3355384Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-b4ad4808e264d0fd.xml
2025-12-04T09:31:53.3627495Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:31:53.362464][1170.834694762]
2025-12-04T09:31:53.3627979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:31:53.3631045Z 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 09:31:53.362875]
2025-12-04T09:32:02.9523218Z 
2025-12-04T09:32:02.9524142Z 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_e8ac70c9c68ece9d_.log
2025-12-04T09:32:02.9524934Z Running 0 items in this shard:
2025-12-04T09:32:02.9525130Z 
2025-12-04T09:32:02.9525423Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:32:02.952154][1180.424387421], took 0.16min
2025-12-04T09:32:02.9541416Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-a07d8ce37d1a525d.xml
2025-12-04T09:32:03.0237828Z Running test_extension_utils 1/1 ... [2025-12-04 09:32:03.023553][1180.495787795]
2025-12-04T09:32:03.0238336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:03.0241156Z 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 09:32:03.023891]
2025-12-04T09:32:06.1307049Z 
2025-12-04T09:32:06.1307911Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_0ddb224d2014cd13_.log
2025-12-04T09:32:06.1308715Z Running 0 items in this shard:
2025-12-04T09:32:06.1308909Z 
2025-12-04T09:32:06.1309215Z Finished test_extension_utils 1/1 ... [2025-12-04 09:32:06.130541][1183.602773975], took 0.05min
2025-12-04T09:32:06.1326630Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-b8cd172478d8fc1a.xml
2025-12-04T09:32:06.1583902Z Running test_show_pickle 1/1 ... [2025-12-04 09:32:06.158228][1183.630462102]
2025-12-04T09:32:06.1584601Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:06.1587737Z 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 09:32:06.158553]
2025-12-04T09:32:09.3880122Z 
2025-12-04T09:32:09.3881056Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_9af3580c36545da7_.log
2025-12-04T09:32:09.3883120Z Running 0 items in this shard:
2025-12-04T09:32:09.3883415Z 
2025-12-04T09:32:09.3883957Z Finished test_show_pickle 1/1 ... [2025-12-04 09:32:09.387847][1186.860080604], took 0.05min
2025-12-04T09:32:09.3901447Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-15bd3f710fa06ebb.xml
2025-12-04T09:32:09.4192196Z Running test_torch 1/1 ... [2025-12-04 09:32:09.418937][1186.891167932]
2025-12-04T09:32:09.4192804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:09.4195877Z 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 09:32:09.419330]
2025-12-04T09:32:31.2874596Z 
2025-12-04T09:32:31.2875804Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_a8fc6828ab3cc2b5_.log
2025-12-04T09:32:31.2913921Z 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
2025-12-04T09:32:31.2948354Z 
2025-12-04T09:32:31.2948600Z Finished test_torch 1/1 ... [2025-12-04 09:32:31.287460][1208.759692497], took 0.36min
2025-12-04T09:32:31.2949532Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-a12b52a7ae8ef888.xml
2025-12-04T09:32:31.3855885Z Running test_tensorexpr 1/1 ... [2025-12-04 09:32:31.385357][1208.857590696]
2025-12-04T09:32:31.3856359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:31.3859446Z 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 09:32:31.385696]
2025-12-04T09:32:34.5410244Z 
2025-12-04T09:32:34.5411156Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_e254e7a0c7cdaefa_.log
2025-12-04T09:32:34.5411942Z Running 0 items in this shard:
2025-12-04T09:32:34.5412145Z 
2025-12-04T09:32:34.5412409Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:32:34.540844][1212.013078346], took 0.05min
2025-12-04T09:32:34.5433613Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-64eeb799ecd808f6.xml
2025-12-04T09:32:34.5940306Z Running test_utils 1/1 ... [2025-12-04 09:32:34.593821][1212.066053837]
2025-12-04T09:32:34.5940789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:34.5943936Z 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 09:32:34.594157]
2025-12-04T09:32:39.2724235Z 
2025-12-04T09:32:39.2725297Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_2912cab653bdab61_.log
2025-12-04T09:32:39.2751060Z 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
2025-12-04T09:32:39.2776467Z 
2025-12-04T09:32:39.2776705Z Finished test_utils 1/1 ... [2025-12-04 09:32:39.272396][1216.744627639], took 0.08min
2025-12-04T09:32:39.2777785Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-43d9d3e4abfee87e.xml
2025-12-04T09:32:39.3231137Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:32:39.322919][1216.795151929]
2025-12-04T09:32:39.3231644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:39.3234812Z 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 09:32:39.323259]
2025-12-04T09:32:42.6903722Z 
2025-12-04T09:32:42.6904728Z 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_2702f63ad2e58102_.log
2025-12-04T09:32:42.6905615Z Running 0 items in this shard:
2025-12-04T09:32:42.6905810Z 
2025-12-04T09:32:42.6906130Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:32:42.690193][1220.162427035], took 0.06min
2025-12-04T09:32:42.6930560Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-260af1e34bf3749d.xml
2025-12-04T09:32:42.7230530Z Running test_fake_tensor 1/1 ... [2025-12-04 09:32:42.722772][1220.195002829]
2025-12-04T09:32:42.7231057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:42.7234129Z 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 09:32:42.723166]
2025-12-04T09:32:51.7783568Z 
2025-12-04T09:32:51.7784721Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_cd66b56240584d66_.log
2025-12-04T09:32:51.7801110Z 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
2025-12-04T09:32:51.7817347Z 
2025-12-04T09:32:51.7817611Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:32:51.778265][1229.250496561], took 0.15min
2025-12-04T09:32:51.7818608Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-34509f23a9451f2d.xml
2025-12-04T09:32:51.8515117Z Running test_multiprocessing 1/1 ... [2025-12-04 09:32:51.851293][1229.323526166]
2025-12-04T09:32:51.8515638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:32:51.8518562Z 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 09:32:51.851638]
2025-12-04T09:38:38.9429657Z 
2025-12-04T09:38:38.9430637Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_a3bafe42e0ab6d56_.log
2025-12-04T09:38:38.9464347Z 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
2025-12-04T09:38:38.9497825Z 
2025-12-04T09:38:38.9498121Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:38:38.942957][1576.415187263], took 5.78min
2025-12-04T09:38:38.9499215Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-26b3331fc301cdcf.xml
2025-12-04T09:38:39.0384038Z Running test_fx 1/1 ... [2025-12-04 09:38:39.038110][1576.510339561]
2025-12-04T09:38:39.0384493Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:38:39.0387603Z 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 09:38:39.038521]
2025-12-04T09:42:14.3095810Z 
2025-12-04T09:42:14.3096588Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_e02fd1302ce3b80b_.log
2025-12-04T09:42:14.3122879Z 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
2025-12-04T09:42:14.3148752Z 
2025-12-04T09:42:14.3148986Z Finished test_fx 1/1 ... [2025-12-04 09:42:14.309441][1791.781674899], took 3.59min
2025-12-04T09:42:14.3149845Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-28372632d70420aa.xml
2025-12-04T09:42:14.3927482Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:42:14.392476][1791.86470593]
2025-12-04T09:42:14.3928010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:14.3931164Z 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 09:42:14.392857]
2025-12-04T09:42:17.6956792Z 
2025-12-04T09:42:17.6957688Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_abcf5bb4c127e59a_.log
2025-12-04T09:42:17.6958509Z Running 0 items in this shard:
2025-12-04T09:42:17.6958708Z 
2025-12-04T09:42:17.6959016Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:42:17.695523][1795.167757309], took 0.06min
2025-12-04T09:42:17.6989101Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-9524a13b8497925c.xml
2025-12-04T09:42:17.7282344Z Running test_autocast 1/1 ... [2025-12-04 09:42:17.727949][1795.200181186]
2025-12-04T09:42:17.7282832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:17.7285584Z 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 09:42:17.728321]
2025-12-04T09:42:21.3085828Z 
2025-12-04T09:42:21.3086809Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_30317e42de544008_.log
2025-12-04T09:42:21.3087542Z Running 0 items in this shard:
2025-12-04T09:42:21.3087749Z 
2025-12-04T09:42:21.3088004Z Finished test_autocast 1/1 ... [2025-12-04 09:42:21.308369][1798.780603174], took 0.06min
2025-12-04T09:42:21.3117867Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-e2b1a8fcb409908c.xml
2025-12-04T09:42:21.3642714Z Running test_python_dispatch 1/1 ... [2025-12-04 09:42:21.363940][1798.836171706]
2025-12-04T09:42:21.3643188Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:21.3645487Z 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 09:42:21.364308]
2025-12-04T09:42:26.1498423Z 
2025-12-04T09:42:26.1499302Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_52401b63bb2366bf_.log
2025-12-04T09:42:26.1500109Z Running 0 items in this shard:
2025-12-04T09:42:26.1500302Z 
2025-12-04T09:42:26.1500595Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:42:26.149670][1803.621903949], took 0.08min
2025-12-04T09:42:26.1531922Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-11365835199c191d.xml
2025-12-04T09:42:26.1759394Z Running test_jit_disabled 1/1 ... [2025-12-04 09:42:26.175765][1803.647998978]
2025-12-04T09:42:26.1759866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:26.1763299Z 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 09:42:26.176110]
2025-12-04T09:42:29.3719439Z 
2025-12-04T09:42:29.3720339Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_c79f7a23a0317a0c_.log
2025-12-04T09:42:29.3721101Z Running 0 items in this shard:
2025-12-04T09:42:29.3721326Z 
2025-12-04T09:42:29.3721608Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:42:29.371764][1806.843997582], took 0.05min
2025-12-04T09:42:29.3754355Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-871477537341f7f1.xml
2025-12-04T09:42:29.4148029Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:42:29.414501][1806.88673169]
2025-12-04T09:42:29.4148594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:29.4151329Z 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 09:42:29.414894]
2025-12-04T09:42:32.6460624Z 
2025-12-04T09:42:32.6461626Z 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_7762dd9876823b17_.log
2025-12-04T09:42:32.6462541Z Running 0 items in this shard:
2025-12-04T09:42:32.6462748Z 
2025-12-04T09:42:32.6463088Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:42:32.645881][1810.118114885], took 0.05min
2025-12-04T09:42:32.6497239Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-6fef71162a3ddd37.xml
2025-12-04T09:42:32.6789925Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:42:32.678688][1810.150920068]
2025-12-04T09:42:32.6790510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:32.6792896Z 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 09:42:32.679066]
2025-12-04T09:42:36.2330855Z 
2025-12-04T09:42:36.2331890Z 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_91ff5602533f01be_.log
2025-12-04T09:42:36.2332846Z Running 0 items in this shard:
2025-12-04T09:42:36.2333057Z 
2025-12-04T09:42:36.2333456Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:42:36.232909][1813.705143179], took 0.06min
2025-12-04T09:42:36.2369476Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-dd07cdff94c05152.xml
2025-12-04T09:42:36.3072421Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:42:36.306974][1813.779206036]
2025-12-04T09:42:36.3072923Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:36.3075883Z 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 09:42:36.307346]
2025-12-04T09:42:39.8722367Z 
2025-12-04T09:42:39.8723376Z 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_4bcd8ee64ab6fae2_.log
2025-12-04T09:42:39.8724198Z Running 0 items in this shard:
2025-12-04T09:42:39.8724406Z 
2025-12-04T09:42:39.8724706Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:42:39.872058][1817.34429271], took 0.06min
2025-12-04T09:42:39.8761453Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-e13f3593d1a85de0.xml
2025-12-04T09:42:39.9046866Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:42:39.904470][1817.376702703]
2025-12-04T09:42:39.9047443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:39.9050740Z 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 09:42:39.904822]
2025-12-04T09:42:43.0910449Z 
2025-12-04T09:42:43.0911491Z 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_be5bf64e67bb9cbc_.log
2025-12-04T09:42:43.0912442Z Running 0 items in this shard:
2025-12-04T09:42:43.0912635Z 
2025-12-04T09:42:43.0913001Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:42:43.090875][1820.563109168], took 0.05min
2025-12-04T09:42:43.0950936Z 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-22b44aafee98d85d.xml
2025-12-04T09:42:43.1256731Z Running test_dispatch 1/1 ... [2025-12-04 09:42:43.125482][1820.597714859]
2025-12-04T09:42:43.1257203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:43.1260529Z 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 09:42:43.125838]
2025-12-04T09:42:46.5460584Z 
2025-12-04T09:42:46.5461562Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_c1749c07d2c9381e_.log
2025-12-04T09:42:46.5462298Z Running 0 items in this shard:
2025-12-04T09:42:46.5462508Z 
2025-12-04T09:42:46.5462762Z Finished test_dispatch 1/1 ... [2025-12-04 09:42:46.545849][1824.018082903], took 0.06min
2025-12-04T09:42:46.5503300Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-1651c8b4fad74d71.xml
2025-12-04T09:42:46.5735567Z Running nn/test_convolution 1/1 ... [2025-12-04 09:42:46.573302][1824.045533025]
2025-12-04T09:42:46.5736052Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:46.5739488Z 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 09:42:46.573707]
2025-12-04T09:42:50.6188076Z 
2025-12-04T09:42:50.6188816Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_b52ab4d10499ec97_.log
2025-12-04T09:42:50.6189605Z Running 0 items in this shard:
2025-12-04T09:42:50.6189809Z 
2025-12-04T09:42:50.6190088Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:42:50.618633][1828.090866492], took 0.07min
2025-12-04T09:42:50.6231216Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-e6ef336e3ed96f05.xml
2025-12-04T09:42:50.6447799Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:42:50.644532][1828.11676323]
2025-12-04T09:42:50.6448313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:50.6452161Z 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 09:42:50.644984]
2025-12-04T09:42:54.2164526Z 
2025-12-04T09:42:54.2165457Z 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_211de311672b1e4f_.log
2025-12-04T09:42:54.2166308Z Running 0 items in this shard:
2025-12-04T09:42:54.2166502Z 
2025-12-04T09:42:54.2166794Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:42:54.216296][1831.688529463], took 0.06min
2025-12-04T09:42:54.2209797Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-dfbd987d7acabf70.xml
2025-12-04T09:42:54.2445178Z Running test_nn 1/1 ... [2025-12-04 09:42:54.244319][1831.716551889]
2025-12-04T09:42:54.2445609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:54.2448674Z 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 09:42:54.244654]
2025-12-04T09:43:00.2826661Z 
2025-12-04T09:43:00.2827446Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_114e02fdd11d737e_.log
2025-12-04T09:43:00.2828154Z Running 0 items in this shard:
2025-12-04T09:43:00.2828361Z 
2025-12-04T09:43:00.2828582Z Finished test_nn 1/1 ... [2025-12-04 09:43:00.282487][1837.754721713], took 0.10min
2025-12-04T09:43:00.2872620Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-2a01ce9b769bfe9f.xml
2025-12-04T09:43:00.3571547Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:43:00.356880][1837.829112476]
2025-12-04T09:43:00.3572080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:00.3574990Z 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 09:43:00.357254]
2025-12-04T09:43:08.6669895Z 
2025-12-04T09:43:08.6670886Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_43d2eb7f18d460ec_.log
2025-12-04T09:43:08.6672050Z Running 0 items in this shard:
2025-12-04T09:43:08.6672246Z 
2025-12-04T09:43:08.6672566Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:43:08.666810][1846.139042908], took 0.14min
2025-12-04T09:43:08.6718077Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-480e7cd333ad5203.xml
2025-12-04T09:43:08.7274361Z Running nn/test_pooling 1/1 ... [2025-12-04 09:43:08.727166][1846.199396695]
2025-12-04T09:43:08.7274832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:08.7277908Z 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 09:43:08.727542]
2025-12-04T09:43:12.3472696Z 
2025-12-04T09:43:12.3473684Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_37de9640885b1802_.log
2025-12-04T09:43:12.3474460Z Running 0 items in this shard:
2025-12-04T09:43:12.3474652Z 
2025-12-04T09:43:12.3474962Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:43:12.347106][1849.819339676], took 0.06min
2025-12-04T09:43:12.3522947Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-47ebb69cb22d0a34.xml
2025-12-04T09:43:12.3763994Z Running test_cuda_trace 1/1 ... [2025-12-04 09:43:12.376161][1849.848393102]
2025-12-04T09:43:12.3764462Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:12.3767488Z 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 09:43:12.376528]
2025-12-04T09:43:15.6667539Z 
2025-12-04T09:43:15.6668428Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_be3bf0e965ef3125_.log
2025-12-04T09:43:15.6669463Z Running 0 items in this shard:
2025-12-04T09:43:15.6669661Z 
2025-12-04T09:43:15.6669933Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:43:15.666583][1853.138816723], took 0.05min
2025-12-04T09:43:15.6720674Z Running test_native_mha 1/1 ... [2025-12-04 09:43:15.671906][1853.144140662]
2025-12-04T09:43:15.6721141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:15.6724662Z 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 09:43:15.672255]
2025-12-04T09:43:19.1717067Z 
2025-12-04T09:43:19.1717899Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_3c5143b8db9b27ee_.log
2025-12-04T09:43:19.1718654Z Running 0 items in this shard:
2025-12-04T09:43:19.1718862Z 
2025-12-04T09:43:19.1719153Z Finished test_native_mha 1/1 ... [2025-12-04 09:43:19.171511][1856.643744762], took 0.06min
2025-12-04T09:43:19.1766769Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-586c934448f4dbdb.xml
2025-12-04T09:43:19.2531015Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:43:19.252826][1856.725057429]
2025-12-04T09:43:19.2531522Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:19.2534358Z 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 09:43:19.253206]
2025-12-04T09:43:22.5795151Z 
2025-12-04T09:43:22.5796404Z 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_7e2f21e9cc646f70_.log
2025-12-04T09:43:22.5797287Z Running 0 items in this shard:
2025-12-04T09:43:22.5797481Z 
2025-12-04T09:43:22.5797790Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:43:22.579318][1860.0515526], took 0.06min
2025-12-04T09:43:22.5849430Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:43:22.584746][1860.056979329]
2025-12-04T09:43:22.5850144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:22.5853614Z 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 09:43:22.585105]
2025-12-04T09:43:26.5586278Z 
2025-12-04T09:43:26.5587779Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_b905921c02153b11_.log
2025-12-04T09:43:26.5622480Z 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
2025-12-04T09:43:26.5656629Z 
2025-12-04T09:43:26.5656922Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:43:26.558593][1864.030826133], took 0.07min
2025-12-04T09:43:26.5658009Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-bd8e0cb93180605a.xml
2025-12-04T09:43:26.6422779Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:43:26.641952][1864.114183585]
2025-12-04T09:43:26.6423332Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:26.6425994Z 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 09:43:26.642333]
2025-12-04T09:43:30.1705879Z 
2025-12-04T09:43:30.1707060Z 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_87420e3ac1e57655_.log
2025-12-04T09:43:30.1707865Z Running 0 items in this shard:
2025-12-04T09:43:30.1708057Z 
2025-12-04T09:43:30.1708643Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:43:30.170405][1867.642639019], took 0.06min
2025-12-04T09:43:30.1760860Z Running test_reductions 1/1 ... [2025-12-04 09:43:30.175918][1867.648153086]
2025-12-04T09:43:30.1761555Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:30.1765242Z 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 09:43:30.176272]
2025-12-04T09:43:34.7982973Z 
2025-12-04T09:43:34.7984138Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_9c3721f7519cd016_.log
2025-12-04T09:43:34.7984901Z Running 0 items in this shard:
2025-12-04T09:43:34.7985092Z 
2025-12-04T09:43:34.7985401Z Finished test_reductions 1/1 ... [2025-12-04 09:43:34.798112][1872.270346948], took 0.08min
2025-12-04T09:43:34.8035510Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-d435c48a274178dc.xml
2025-12-04T09:43:34.8825230Z Running test_spectral_ops 1/1 ... [2025-12-04 09:43:34.882212][1872.354442919]
2025-12-04T09:43:34.8825899Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:34.8828823Z 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 09:43:34.882605]
2025-12-04T09:43:39.4726857Z 
2025-12-04T09:43:39.4728033Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_b285e13b659c6b86_.log
2025-12-04T09:43:39.4728817Z Running 0 items in this shard:
2025-12-04T09:43:39.4729011Z 
2025-12-04T09:43:39.4729328Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:43:39.472513][1876.944747571], took 0.08min
2025-12-04T09:43:39.4782387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-f51bd84c50639b13.xml
2025-12-04T09:43:39.5106670Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:43:39.510359][1876.982591053]
2025-12-04T09:43:39.5107308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:39.5110160Z 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 09:43:39.510741]
2025-12-04T09:43:43.9469831Z 
2025-12-04T09:43:43.9471001Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_adf460bb04b2e8de_.log
2025-12-04T09:43:43.9492093Z 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
2025-12-04T09:43:43.9511602Z 
2025-12-04T09:43:43.9511962Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:43:43.946853][1881.419088251], took 0.07min
2025-12-04T09:43:43.9525734Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-694b5cc4d7dc4e7c.xml
2025-12-04T09:43:43.9914252Z Running test_autoload_disable 1/1 ... [2025-12-04 09:43:43.991224][1881.463457528]
2025-12-04T09:43:44.3108743Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:43:47.4649053Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:43:47.4669871Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:43:57.0614419Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:43:57.0867233Z [?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=0f0e4c978b492ecb567e3908b4d601009612eec488d95e1190d872d90eeb05b6
2025-12-04T09:43:57.0868653Z   Stored in directory: /tmp/pip-ephem-wheel-cache-u8j5ddlr/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:43:57.0887056Z Successfully built torch_test_cpp_extension
2025-12-04T09:43:57.4411698Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:43:57.6008938Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:43:59.2890074Z W1204 09:43:59.288000 5456 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:44:00.2250350Z 
2025-12-04T09:44:00.2250808Z Running tests...
2025-12-04T09:44:00.2251231Z ----------------------------------------------------------------------
2025-12-04T09:44:00.3934864Z .
2025-12-04T09:44:00.3935178Z ----------------------------------------------------------------------
2025-12-04T09:44:00.3935570Z Ran 1 test in 0.168s
2025-12-04T09:44:00.3935724Z 
2025-12-04T09:44:00.3935803Z OK
2025-12-04T09:44:00.3935925Z 
2025-12-04T09:44:00.3936028Z Generating XML reports...
2025-12-04T09:44:01.0436639Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:44:01.043331][1898.515556027], took 0.28min
2025-12-04T09:44:01.0493560Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094400.xml
2025-12-04T09:44:01.1231056Z Running test_autoload_enable 1/1 ... [2025-12-04 09:44:01.122799][1898.595030066]
2025-12-04T09:44:01.4468559Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:44:04.7449669Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:44:04.7470162Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:44:14.3760889Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:44:14.4012768Z [?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=e72cfcbc33c923a3d45a3709be8599cdbfc9dd26c5c6880157183c29afe56533
2025-12-04T09:44:14.4014183Z   Stored in directory: /tmp/pip-ephem-wheel-cache-vit7apjl/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:44:14.4032755Z Successfully built torch_test_cpp_extension
2025-12-04T09:44:14.7541632Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:44:14.9174087Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:44:16.5697697Z W1204 09:44:16.569000 5641 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T09:44:17.4813996Z 
2025-12-04T09:44:17.4814430Z Running tests...
2025-12-04T09:44:17.4814795Z ----------------------------------------------------------------------
2025-12-04T09:44:17.6469963Z .
2025-12-04T09:44:17.6470322Z ----------------------------------------------------------------------
2025-12-04T09:44:17.6470704Z Ran 1 test in 0.166s
2025-12-04T09:44:17.6470875Z 
2025-12-04T09:44:17.6470955Z OK
2025-12-04T09:44:17.6471074Z 
2025-12-04T09:44:17.6471180Z Generating XML reports...
2025-12-04T09:44:18.2454027Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:44:18.245063][1915.717288251], took 0.29min
2025-12-04T09:44:18.2511682Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094417.xml
2025-12-04T09:44:18.3260708Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:44:18.325777][1915.798008863]
2025-12-04T09:44:18.6782800Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:44:21.8661580Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:44:21.8681535Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:44:32.7136975Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:44:32.7396113Z [?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=e0fe8e897a7e6b58f96b2e4dbe3a780758b6f96e849694eec8a0f179f342ad64
2025-12-04T09:44:32.7397534Z   Stored in directory: /tmp/pip-ephem-wheel-cache-v_1vv2n8/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:44:32.7417119Z Successfully built torch_test_cpp_extension
2025-12-04T09:44:33.1192118Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:44:33.2961198Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:44:33.7313653Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:44:35.8255015Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:44:35.8275795Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:44:38.2142712Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:44:38.2149519Z [?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=37a5e5037cf285652cdaf3a818824395e7ea90783bb6f71fde8f7b7a7e4631c1
2025-12-04T09:44:38.2150887Z   Stored in directory: /tmp/pip-ephem-wheel-cache-k91jhm05/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:44:38.2170549Z Successfully built no_python_abi_suffix_test
2025-12-04T09:44:38.5828746Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:44:38.5942113Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:44:38.6933961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:44:38.6939465Z 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 09:44:38.693554]
2025-12-04T09:44:42.6065593Z 
2025-12-04T09:44:42.6067073Z 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_211479e92b4a4b64_.log
2025-12-04T09:44:42.6068670Z Running 0 items in this shard:
2025-12-04T09:44:42.6069087Z 
2025-12-04T09:44:42.6069680Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:44:42.606444][1940.078676845], took 0.40min
2025-12-04T09:44:42.6127709Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-bb238ee95cc89392.xml
2025-12-04T09:44:42.6876509Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:44:42.687323][1940.159554063]
2025-12-04T09:44:43.0248048Z Processing /var/lib/jenkins/workspace/test/cpp_extensions
2025-12-04T09:44:46.5497966Z   Preparing metadata (pyproject.toml) ... [?25l- \ done
2025-12-04T09:44:46.5520936Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension
2025-12-04T09:44:57.1490615Z   Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done
2025-12-04T09:44:57.1748917Z [?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=80712f722977d100d190d50597e1d5b01249a90be8a2ab722e9e99e6ed66060a
2025-12-04T09:44:57.1750361Z   Stored in directory: /tmp/pip-ephem-wheel-cache-nboynq0v/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1
2025-12-04T09:44:57.1769461Z Successfully built torch_test_cpp_extension
2025-12-04T09:44:57.5404956Z Installing collected packages: torch_test_cpp_extension
2025-12-04T09:44:57.7078481Z Successfully installed torch_test_cpp_extension-0.0.0
2025-12-04T09:44:58.1246742Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test
2025-12-04T09:45:00.1651556Z   Preparing metadata (pyproject.toml) ... [?25l- done
2025-12-04T09:45:00.1672079Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test
2025-12-04T09:45:02.4197460Z   Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:45:02.4204548Z [?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=5b779cf7594a94c282d2224f10ffd50cd506cce7a40376f1de845f49f6e8f258
2025-12-04T09:45:02.4205949Z   Stored in directory: /tmp/pip-ephem-wheel-cache-aszboyxh/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80
2025-12-04T09:45:02.4225033Z Successfully built no_python_abi_suffix_test
2025-12-04T09:45:02.7889680Z Installing collected packages: no_python_abi_suffix_test
2025-12-04T09:45:02.7999154Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-12-04T09:45:02.8766731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:02.8770129Z 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 09:45:02.876763]
2025-12-04T09:45:06.8156468Z 
2025-12-04T09:45:06.8157904Z 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_d62a560888e9c3e5_.log
2025-12-04T09:45:06.8158799Z Running 0 items in this shard:
2025-12-04T09:45:06.8159008Z 
2025-12-04T09:45:06.8159381Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:45:06.815477][1964.287703168], took 0.40min
2025-12-04T09:45:06.8221099Z 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-f7a13a0b271440ae.xml
2025-12-04T09:45:06.8931343Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 09:45:06.892854][1964.365084878]
2025-12-04T09:45:06.8931882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:06.8934613Z 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 09:45:06.893218]
2025-12-04T09:45:15.9468026Z 
2025-12-04T09:45:15.9469138Z 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_eff1723c63f37a8e_.log
2025-12-04T09:45:15.9469931Z 
2025-12-04T09:45:15.9470259Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 09:45:15.946579][1973.418813129], took 0.15min
2025-12-04T09:45:15.9534118Z Running inductor/test_torchinductor_opinfo 1/1 ... [2025-12-04 09:45:15.953154][1973.425386478]
2025-12-04T09:45:15.9534689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:15.9538095Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_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 09:45:15.953567]
2025-12-04T09:45:26.1438219Z 
2025-12-04T09:45:26.1439290Z inductor/test_torchinductor_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.1_7d6809a745cea9d6_.log
2025-12-04T09:45:26.1440229Z Running 0 items in this shard:
2025-12-04T09:45:26.1441354Z 
2025-12-04T09:45:26.1441731Z Finished inductor/test_torchinductor_opinfo 1/1 ... [2025-12-04 09:45:26.143635][1983.615865238], took 0.17min
2025-12-04T09:45:26.1498948Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-c1aae29fa9d324d7.xml
2025-12-04T09:45:26.2246978Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:45:26.224365][1983.696595542]
2025-12-04T09:45:26.2247516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:26.2250521Z 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 09:45:26.224776]
2025-12-04T09:45:35.0444587Z 
2025-12-04T09:45:35.0445631Z 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_2587ec7bceffa377_.log
2025-12-04T09:45:35.0446415Z 
2025-12-04T09:45:35.0446758Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:45:35.044232][1992.516464932], took 0.15min
2025-12-04T09:45:35.0512080Z Running inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:45:35.050963][1992.52319537]
2025-12-04T09:45:35.0512630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:35.0515802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.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 09:45:35.051356]
2025-12-04T09:45:43.9717470Z 
2025-12-04T09:45:43.9719028Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_a0cd0beab615f8a1_.log
2025-12-04T09:45:43.9720335Z 
2025-12-04T09:45:43.9720868Z Finished inductor/test_compile_subprocess 1/1 ... [2025-12-04 09:45:43.971515][2001.443749932], took 0.15min
2025-12-04T09:45:43.9785316Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:45:43.978254][2001.450486592]
2025-12-04T09:45:43.9785831Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:43.9788897Z 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 09:45:43.978658]
2025-12-04T09:45:52.7233073Z 
2025-12-04T09:45:52.7234092Z 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_727173ebeaba526f_.log
2025-12-04T09:45:52.7234888Z 
2025-12-04T09:45:52.7235223Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:45:52.723078][2010.195311924], took 0.15min
2025-12-04T09:45:52.7300991Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:45:52.729854][2010.202085878]
2025-12-04T09:45:52.7301498Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:52.7304903Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.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 09:45:52.730270]
2025-12-04T09:46:02.6379301Z 
2025-12-04T09:46:02.6380322Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_165ca9bb76f751cc_.log
2025-12-04T09:46:02.6381071Z 
2025-12-04T09:46:02.6381698Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:46:02.637717][2020.109949618], took 0.17min
2025-12-04T09:46:02.6444678Z Running inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:46:02.644292][2020.116528364]
2025-12-04T09:46:02.6445244Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:02.6449015Z 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 09:46:02.644651]
2025-12-04T09:46:11.4739734Z 
2025-12-04T09:46:11.4740781Z 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_811f3669666200cd_.log
2025-12-04T09:46:11.4741687Z Running 0 items in this shard:
2025-12-04T09:46:11.4741880Z 
2025-12-04T09:46:11.4742255Z Finished inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:46:11.473770][2028.946001248], took 0.15min
2025-12-04T09:46:11.4802964Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-bd9b63104b205e96.xml
2025-12-04T09:46:11.5370616Z Running inductor/test_padding 1/1 ... [2025-12-04 09:46:11.536754][2029.008984866]
2025-12-04T09:46:11.5371126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:11.5373747Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_padding.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 09:46:11.537124]
2025-12-04T09:46:20.2942675Z 
2025-12-04T09:46:20.2943718Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_ca53f95cf45cd931_.log
2025-12-04T09:46:20.2944433Z 
2025-12-04T09:46:20.2944736Z Finished inductor/test_padding 1/1 ... [2025-12-04 09:46:20.294050][2037.76628401], took 0.15min
2025-12-04T09:46:20.3012254Z Running test_varlen_attention 1/1 ... [2025-12-04 09:46:20.300957][2037.773188092]
2025-12-04T09:46:20.3012747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:20.3015750Z 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 09:46:20.301356]
2025-12-04T09:46:24.3589183Z 
2025-12-04T09:46:24.3590170Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_1c48867d1c61e927_.log
2025-12-04T09:46:24.3590982Z Running 0 items in this shard:
2025-12-04T09:46:24.3591191Z 
2025-12-04T09:46:24.3591514Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:46:24.358723][2041.830957151], took 0.07min
2025-12-04T09:46:24.3652185Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-b9c9f4cd26243862.xml
2025-12-04T09:46:24.4369971Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:46:24.436660][2041.90889032]
2025-12-04T09:46:24.4370556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:24.4373222Z 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 09:46:24.437072]
2025-12-04T09:46:33.4109904Z 
2025-12-04T09:46:33.4111337Z 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_9ff2bbfa5fc09de4_.log
2025-12-04T09:46:33.4112322Z Running 0 items in this shard:
2025-12-04T09:46:33.4112530Z 
2025-12-04T09:46:33.4112891Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 09:46:33.410818][2050.883051063], took 0.15min
2025-12-04T09:46:33.4174163Z 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-f82b0ce48d0ba554.xml
2025-12-04T09:46:33.4958705Z Running test_decomp 1/1 ... [2025-12-04 09:46:33.495596][2050.967827543]
2025-12-04T09:46:33.4959191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:33.4961920Z 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 09:46:33.495948]
2025-12-04T09:46:38.7444808Z 
2025-12-04T09:46:38.7445615Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_e1787c61527f0365_.log
2025-12-04T09:46:38.7446365Z Running 0 items in this shard:
2025-12-04T09:46:38.7446558Z 
2025-12-04T09:46:38.7446799Z Finished test_decomp 1/1 ... [2025-12-04 09:46:38.744302][2056.21653516], took 0.09min
2025-12-04T09:46:38.7511225Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-3f5f7303004552f9.xml
2025-12-04T09:46:38.7840945Z Running test_ops_fwd_gradients 1/1 ... [2025-12-04 09:46:38.783832][2056.256062329]
2025-12-04T09:46:38.7841437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:38.7844368Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.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 09:46:38.784217]
2025-12-04T09:46:43.6765868Z 
2025-12-04T09:46:43.6766807Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_dd5b92b0b23eb4f8_.log
2025-12-04T09:46:43.6767628Z Running 0 items in this shard:
2025-12-04T09:46:43.6767821Z 
2025-12-04T09:46:43.6768127Z Finished test_ops_fwd_gradients 1/1 ... [2025-12-04 09:46:43.676385][2061.148619545], took 0.08min
2025-12-04T09:46:43.6832491Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-1a67880a847eec51.xml
2025-12-04T09:46:43.7155651Z Running test_meta 1/1 ... [2025-12-04 09:46:43.715290][2061.187520813]
2025-12-04T09:46:43.7156113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:43.7159202Z 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 09:46:43.715698]
2025-12-04T09:46:48.7759682Z 
2025-12-04T09:46:48.7760480Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_47efdfecc247573e_.log
2025-12-04T09:46:48.7761197Z Running 0 items in this shard:
2025-12-04T09:46:48.7761390Z 
2025-12-04T09:46:48.7761642Z Finished test_meta 1/1 ... [2025-12-04 09:46:48.775779][2066.248013322], took 0.08min
2025-12-04T09:46:48.7826810Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-4a3c6f1f4ffba2cc.xml
2025-12-04T09:46:48.8074441Z Running test_nestedtensor 1/1 ... [2025-12-04 09:46:48.807177][2066.279408963]
2025-12-04T09:46:48.8074938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:48.8078832Z 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 09:46:48.807552]
2025-12-04T09:46:54.1932689Z 
2025-12-04T09:46:54.1933575Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_23e0ca0dd3d50aab_.log
2025-12-04T09:46:54.1934363Z Running 0 items in this shard:
2025-12-04T09:46:54.1934557Z 
2025-12-04T09:46:54.1934876Z Finished test_nestedtensor 1/1 ... [2025-12-04 09:46:54.193079][2071.665313019], took 0.09min
2025-12-04T09:46:54.2003339Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-c420537664aa614a.xml
2025-12-04T09:46:54.2253644Z Running test_linalg 1/1 ... [2025-12-04 09:46:54.225114][2071.697344574]
2025-12-04T09:46:54.2254126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:54.2256964Z 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 09:46:54.225473]
2025-12-04T09:46:58.6154666Z 
2025-12-04T09:46:58.6155526Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_c9788075c1963ab0_.log
2025-12-04T09:46:58.6157293Z Running 0 items in this shard:
2025-12-04T09:46:58.6157499Z 
2025-12-04T09:46:58.6157735Z Finished test_linalg 1/1 ... [2025-12-04 09:46:58.615265][2076.087499514], took 0.07min
2025-12-04T09:46:58.6225851Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-a00685430766c6b5.xml
2025-12-04T09:46:58.6506234Z Running test_public_bindings 1/1 ... [2025-12-04 09:46:58.650356][2076.122587276]
2025-12-04T09:46:58.6506726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:58.6509409Z 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 09:46:58.650713]
2025-12-04T09:47:02.1546393Z 
2025-12-04T09:47:02.1547295Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_186cab0393d5ef4c_.log
2025-12-04T09:47:02.1548136Z Running 0 items in this shard:
2025-12-04T09:47:02.1548347Z 
2025-12-04T09:47:02.1548634Z Finished test_public_bindings 1/1 ... [2025-12-04 09:47:02.154463][2079.626697171], took 0.06min
2025-12-04T09:47:02.1618476Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_public_bindings/test_public_bindings-ad99aca0869f9d2b.xml
2025-12-04T09:47:02.1882258Z Running test_ops 1/1 ... [2025-12-04 09:47:02.187997][2079.660227539]
2025-12-04T09:47:02.1882679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:02.1885797Z 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 09:47:02.188367]
2025-12-04T09:47:12.0687057Z 
2025-12-04T09:47:12.0687933Z test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.1_ae8ab1f3d1f96ce1_.log
2025-12-04T09:47:12.0688630Z Running 0 items in this shard:
2025-12-04T09:47:12.0688825Z 
2025-12-04T09:47:12.0689062Z Finished test_ops 1/1 ... [2025-12-04 09:47:12.068521][2089.540754701], took 0.16min
2025-12-04T09:47:12.0762004Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-a3c25951997da776.xml
2025-12-04T09:47:12.1467005Z Running functorch/test_dims 1/1 ... [2025-12-04 09:47:12.146408][2089.618639287]
2025-12-04T09:47:12.1468851Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:12.1470305Z 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 09:47:12.146783]
2025-12-04T09:47:16.0935709Z 
2025-12-04T09:47:16.0936774Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_365faa85ec1d397c_.log
2025-12-04T09:47:16.0937598Z Running 0 items in this shard:
2025-12-04T09:47:16.0937805Z 
2025-12-04T09:47:16.0938120Z Finished functorch/test_dims 1/1 ... [2025-12-04 09:47:16.093401][2093.56563546], took 0.07min
2025-12-04T09:47:16.1010374Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-dc25456e0dbc8586.xml
2025-12-04T09:47:16.1240438Z Running test_sparse_csr 1/1 ... [2025-12-04 09:47:16.123784][2093.596013545]
2025-12-04T09:47:16.1240911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:16.1243821Z 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 09:47:16.124120]
2025-12-04T09:47:21.3808449Z 
2025-12-04T09:47:21.3809329Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_3332f3e47769da70_.log
2025-12-04T09:47:21.3810115Z Running 0 items in this shard:
2025-12-04T09:47:21.3810308Z 
2025-12-04T09:47:21.3810581Z Finished test_sparse_csr 1/1 ... [2025-12-04 09:47:21.380665][2098.852898376], took 0.09min
2025-12-04T09:47:21.3885592Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-235c10b3ddd3538f.xml
2025-12-04T09:47:21.4147925Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:47:21.414470][2098.88670145]
2025-12-04T09:47:21.4148422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:21.4150837Z 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 09:47:21.414840]
2025-12-04T09:47:27.2553249Z 
2025-12-04T09:47:27.2554234Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_9939610b83e6ef8e_.log
2025-12-04T09:47:27.2555030Z Running 0 items in this shard:
2025-12-04T09:47:27.2555237Z 
2025-12-04T09:47:27.2555520Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:47:27.255143][2104.727378003], took 0.10min
2025-12-04T09:47:27.2630927Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-c6ce5652d83aff1f.xml
2025-12-04T09:47:27.2921703Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:47:27.291920][2104.764151417]
2025-12-04T09:47:27.2922185Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:27.2925430Z 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 09:47:27.292317]
2025-12-04T09:47:30.9111737Z 
2025-12-04T09:47:30.9112938Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_6c864b774f74cecf_.log
2025-12-04T09:47:30.9113779Z Running 0 items in this shard:
2025-12-04T09:47:30.9113986Z 
2025-12-04T09:47:30.9114275Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:47:30.911005][2108.383237455], took 0.06min
2025-12-04T09:47:30.9192004Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-5f2b4ae8894935d1.xml
2025-12-04T09:47:30.9441411Z Running inductor/test_select_algorithm 1/1 ... [2025-12-04 09:47:30.943890][2108.416121586]
2025-12-04T09:47:30.9442007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:30.9445488Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_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 09:47:30.944299]
2025-12-04T09:47:39.5628193Z 
2025-12-04T09:47:39.5629263Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_94fee73f865b2bb0_.log
2025-12-04T09:47:39.5630077Z 
2025-12-04T09:47:39.5630418Z Finished inductor/test_select_algorithm 1/1 ... [2025-12-04 09:47:39.562600][2117.03483166], took 0.14min
2025-12-04T09:47:39.5713689Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:47:39.571077][2117.043309485]
2025-12-04T09:47:39.5714559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:39.5717588Z 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 09:47:39.571511]
2025-12-04T09:47:48.4810188Z 
2025-12-04T09:47:48.4811748Z 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_b046bc682c487eec_.log
2025-12-04T09:47:48.4813201Z Running 0 items in this shard:
2025-12-04T09:47:48.4813524Z 
2025-12-04T09:47:48.4814080Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:47:48.480823][2125.953055629], took 0.15min
2025-12-04T09:47:48.4895827Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-152e7014ad7cdd35.xml
2025-12-04T09:47:48.5536978Z Running dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 09:47:48.553420][2126.025650811]
2025-12-04T09:47:48.5537486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:48.5540516Z 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 09:47:48.553816]
2025-12-04T09:48:02.5950709Z 
2025-12-04T09:48:02.5951836Z 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_af05ade86165327d_.log
2025-12-04T09:48:02.5952713Z Running 0 items in this shard:
2025-12-04T09:48:02.5952907Z 
2025-12-04T09:48:02.5953236Z Finished dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 09:48:02.594878][2140.067109491], took 0.23min
2025-12-04T09:48:02.6032964Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-d3cd0e6e3892a286.xml
2025-12-04T09:48:02.6671300Z Running inductor/test_cpu_repro 5/5 ... [2025-12-04 09:48:02.666864][2140.13909507]
2025-12-04T09:48:02.6672073Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:02.6675002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:02.667262]
2025-12-04T09:48:12.7960193Z 
2025-12-04T09:48:12.7961136Z inductor/test_cpu_repro 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_5.5_6a6e6295b9090644_.log
2025-12-04T09:48:12.7962096Z Running 0 items in this shard:
2025-12-04T09:48:12.7962305Z 
2025-12-04T09:48:12.7962602Z Finished inductor/test_cpu_repro 5/5 ... [2025-12-04 09:48:12.795820][2150.268052714], took 0.17min
2025-12-04T09:48:12.8042723Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-6667fc27c3868c05.xml
2025-12-04T09:48:12.8714914Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 09:48:12.871191][2150.343422753]
2025-12-04T09:48:12.8715442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:12.8718275Z 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 09:48:12.871577]
2025-12-04T09:48:21.1249615Z 
2025-12-04T09:48:21.1250649Z 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_3a96a17368b107fc_.log
2025-12-04T09:48:21.1251545Z Running 0 items in this shard:
2025-12-04T09:48:21.1251743Z 
2025-12-04T09:48:21.1252117Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 09:48:21.124794][2158.59702757], took 0.14min
2025-12-04T09:48:21.1333761Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-619881eeddfb81a6.xml
2025-12-04T09:48:21.2030564Z Running inductor/test_perf 1/1 ... [2025-12-04 09:48:21.202738][2158.674969712]
2025-12-04T09:48:21.2031066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:21.2033895Z 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 09:48:21.203131]
2025-12-04T09:48:29.5331164Z 
2025-12-04T09:48:29.5332093Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_19d2b35683e3c9ff_.log
2025-12-04T09:48:29.5332787Z 
2025-12-04T09:48:29.5333100Z Finished inductor/test_perf 1/1 ... [2025-12-04 09:48:29.532904][2167.005138765], took 0.14min
2025-12-04T09:48:29.5422556Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 09:48:29.541975][2167.014206987]
2025-12-04T09:48:29.5423090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:29.5426164Z 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 09:48:29.542386]
2025-12-04T09:48:37.6655050Z 
2025-12-04T09:48:37.6656080Z 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_4e1c8d89092bee41_.log
2025-12-04T09:48:37.6656961Z Running 0 items in this shard:
2025-12-04T09:48:37.6657167Z 
2025-12-04T09:48:37.6657816Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 09:48:37.665329][2175.137559438], took 0.14min
2025-12-04T09:48:37.6740446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-b341e3db65c127e5.xml
2025-12-04T09:48:37.7476043Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 09:48:37.747318][2175.219548393]
2025-12-04T09:48:37.7476569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:37.7479777Z 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 09:48:37.747695]
2025-12-04T09:48:45.8822104Z 
2025-12-04T09:48:45.8823179Z 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_c4a2ebbffd462620_.log
2025-12-04T09:48:45.8824062Z Running 0 items in this shard:
2025-12-04T09:48:45.8824255Z 
2025-12-04T09:48:45.8824593Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 09:48:45.882046][2183.354276587], took 0.14min
2025-12-04T09:48:45.8912669Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-3e8d5503b751e7c2.xml
2025-12-04T09:48:45.9616884Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:48:45.961438][2183.433670347]
2025-12-04T09:48:45.9617781Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:45.9620721Z 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 09:48:45.961815]
2025-12-04T09:48:54.4946315Z 
2025-12-04T09:48:54.4947505Z 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_d7b93605e2a044f6_.log
2025-12-04T09:48:54.4948505Z Running 0 items in this shard:
2025-12-04T09:48:54.4948715Z 
2025-12-04T09:48:54.4949140Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:48:54.494457][2191.966689486], took 0.14min
2025-12-04T09:48:54.5033793Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-8c4b4e3b0d5f339a.xml
2025-12-04T09:48:54.5676811Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:48:54.567398][2192.039629857]
2025-12-04T09:48:54.5677430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:54.5680512Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_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 09:48:54.567745]
2025-12-04T09:49:02.6526863Z 
2025-12-04T09:49:02.6528017Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_3ac3c84897d8677e_.log
2025-12-04T09:49:02.6528992Z Running 0 items in this shard:
2025-12-04T09:49:02.6529199Z 
2025-12-04T09:49:02.6529606Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 09:49:02.652518][2200.124749937], took 0.13min
2025-12-04T09:49:02.6615122Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-b1ed4ae2e70399e0.xml
2025-12-04T09:49:02.7731372Z Running inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 09:49:02.772818][2200.245049536]
2025-12-04T09:49:02.7731943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:02.7734357Z 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 09:49:02.773170]
2025-12-04T09:49:11.3967952Z 
2025-12-04T09:49:11.3968998Z 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_80ddb765869bd3ec_.log
2025-12-04T09:49:11.3969972Z Running 0 items in this shard:
2025-12-04T09:49:11.3970165Z 
2025-12-04T09:49:11.3970544Z Finished inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 09:49:11.396613][2208.868844123], took 0.14min
2025-12-04T09:49:11.4057938Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-dac8d31d27fe6db8.xml
2025-12-04T09:49:11.4969172Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:49:11.496599][2208.968831156]
2025-12-04T09:49:11.4969803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:11.4972142Z 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 09:49:11.496964]
2025-12-04T09:49:19.3977833Z 
2025-12-04T09:49:19.3979170Z 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_950f7bc9545f67d1_.log
2025-12-04T09:49:19.3980080Z 
2025-12-04T09:49:19.3980528Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:49:19.397554][2216.869787088], took 0.13min
2025-12-04T09:49:19.4073703Z Running inductor/test_multi_kernel 1/1 ... [2025-12-04 09:49:19.407172][2216.879406463]
2025-12-04T09:49:19.4074211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:19.4077542Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_multi_kernel.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 09:49:19.407530]
2025-12-04T09:49:27.0661069Z 
2025-12-04T09:49:27.0662037Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_dc8c5f0d238057ba_.log
2025-12-04T09:49:27.0662797Z 
2025-12-04T09:49:27.0663150Z Finished inductor/test_multi_kernel 1/1 ... [2025-12-04 09:49:27.065916][2224.538150147], took 0.13min
2025-12-04T09:49:27.0757328Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:49:27.075553][2224.547787656]
2025-12-04T09:49:27.0757891Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:27.0760975Z 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 09:49:27.075885]
2025-12-04T09:49:35.0700793Z 
2025-12-04T09:49:35.0701900Z 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_fa0c4eef0de01f18_.log
2025-12-04T09:49:35.0702879Z Running 0 items in this shard:
2025-12-04T09:49:35.0703084Z 
2025-12-04T09:49:35.0703736Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:49:35.069910][2232.542144785], took 0.13min
2025-12-04T09:49:35.0792355Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-b36f34c1351fddf8.xml
2025-12-04T09:49:35.1469052Z Running inductor/test_triton_heuristics 1/1 ... [2025-12-04 09:49:35.146613][2232.618845936]
2025-12-04T09:49:35.1469637Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:35.1472250Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_heuristics.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 09:49:35.146969]
2025-12-04T09:49:42.7781049Z 
2025-12-04T09:49:42.7782132Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_2becd8d1e8d1be79_.log
2025-12-04T09:49:42.7782938Z 
2025-12-04T09:49:42.7783284Z Finished inductor/test_triton_heuristics 1/1 ... [2025-12-04 09:49:42.777910][2240.25014393], took 0.13min
2025-12-04T09:49:42.7879585Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:49:42.787741][2240.259975959]
2025-12-04T09:49:42.7880115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:42.7883562Z 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 09:49:42.788117]
2025-12-04T09:49:50.8249103Z 
2025-12-04T09:49:50.8250037Z 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_a42f1c41088631d9_.log
2025-12-04T09:49:50.8250840Z 
2025-12-04T09:49:50.8346410Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:49:50.824712][2248.296945966], took 0.13min
2025-12-04T09:49:50.8347153Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:49:50.834426][2248.306660494]
2025-12-04T09:49:50.8347660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:50.8350161Z 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 09:49:50.834777]
2025-12-04T09:49:53.9575114Z 
2025-12-04T09:49:53.9576116Z 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_a7f011d4bd3c2d77_.log
2025-12-04T09:49:53.9576996Z Running 0 items in this shard:
2025-12-04T09:49:53.9577222Z 
2025-12-04T09:49:53.9577553Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:49:53.957345][2251.429579138], took 0.05min
2025-12-04T09:49:53.9667115Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_deque_reconstruct/dynamo.test_deque_reconstruct-8692c9614cfe50f7.xml
2025-12-04T09:49:54.0394359Z Running inductor/test_utils 1/1 ... [2025-12-04 09:49:54.039164][2251.51139634]
2025-12-04T09:49:54.0394850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:54.0397544Z 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 09:49:54.039505]
2025-12-04T09:49:57.4818897Z 
2025-12-04T09:49:57.4820049Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_2327c5e4f046a780_.log
2025-12-04T09:49:57.4820845Z Running 0 items in this shard:
2025-12-04T09:49:57.4821051Z 
2025-12-04T09:49:57.4821340Z Finished inductor/test_utils 1/1 ... [2025-12-04 09:49:57.481724][2254.953956171], took 0.06min
2025-12-04T09:49:57.4912101Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_utils/inductor.test_utils-f6684d84a0d40345.xml
2025-12-04T09:49:57.5181298Z Running inductor/test_indexing 1/1 ... [2025-12-04 09:49:57.517910][2254.990143135]
2025-12-04T09:49:57.5181821Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:57.5184701Z 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 09:49:57.518245]
2025-12-04T09:50:05.2779279Z 
2025-12-04T09:50:05.2780248Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_7ceaf4f7e5502714_.log
2025-12-04T09:50:05.2781061Z Running 0 items in this shard:
2025-12-04T09:50:05.2781271Z 
2025-12-04T09:50:05.2781570Z Finished inductor/test_indexing 1/1 ... [2025-12-04 09:50:05.277727][2262.749958858], took 0.13min
2025-12-04T09:50:05.2874676Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_indexing/inductor.test_indexing-691df35dc3d5e668.xml
2025-12-04T09:50:05.3606809Z Running inductor/test_inductor_annotations 1/1 ... [2025-12-04 09:50:05.360367][2262.832598967]
2025-12-04T09:50:05.3607373Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:05.3610162Z 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 09:50:05.360752]
2025-12-04T09:50:13.0975482Z 
2025-12-04T09:50:13.0976514Z 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_83774247ab15b018_.log
2025-12-04T09:50:13.0977450Z Running 0 items in this shard:
2025-12-04T09:50:13.0977790Z 
2025-12-04T09:50:13.0978154Z Finished inductor/test_inductor_annotations 1/1 ... [2025-12-04 09:50:13.097375][2270.569607072], took 0.13min
2025-12-04T09:50:13.1072054Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_annotations/inductor.test_inductor_annotations-17501e1125e9bfd4.xml
2025-12-04T09:50:13.1780254Z Running inductor/test_compile_worker 1/1 ... [2025-12-04 09:50:13.177739][2270.649971942]
2025-12-04T09:50:13.1780791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:13.1784150Z 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 09:50:13.178144]
2025-12-04T09:50:20.8873314Z 
2025-12-04T09:50:20.8874304Z 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_53ab1cbb97d5ec95_.log
2025-12-04T09:50:20.8875220Z Running 0 items in this shard:
2025-12-04T09:50:20.8875411Z 
2025-12-04T09:50:20.8875751Z Finished inductor/test_compile_worker 1/1 ... [2025-12-04 09:50:20.887156][2278.359388606], took 0.13min
2025-12-04T09:50:20.8971351Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_worker/inductor.test_compile_worker-80bd2538e14c7ca2.xml
2025-12-04T09:50:20.9694335Z Running dynamo/test_einops 1/1 ... [2025-12-04 09:50:20.969122][2278.44135432]
2025-12-04T09:50:20.9694868Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:20.9697335Z 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 09:50:20.969469]
2025-12-04T09:50:24.0628409Z 
2025-12-04T09:50:24.0629298Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_d18ca0e5a997fdd2_.log
2025-12-04T09:50:24.0630112Z Running 0 items in this shard:
2025-12-04T09:50:24.0630319Z 
2025-12-04T09:50:24.0630595Z Finished dynamo/test_einops 1/1 ... [2025-12-04 09:50:24.062683][2281.534913023], took 0.05min
2025-12-04T09:50:24.0729600Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_einops/dynamo.test_einops-23b4d73ee49d98fe.xml
2025-12-04T09:50:24.1006201Z Running inductor/test_external_callables 1/1 ... [2025-12-04 09:50:24.100402][2281.57263582]
2025-12-04T09:50:24.1006752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:24.1010235Z 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 09:50:24.100757]
2025-12-04T09:50:27.4904168Z 
2025-12-04T09:50:27.4905188Z 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_1b0de0808512821b_.log
2025-12-04T09:50:27.4906111Z Running 0 items in this shard:
2025-12-04T09:50:27.4906303Z 
2025-12-04T09:50:27.4906700Z Finished inductor/test_external_callables 1/1 ... [2025-12-04 09:50:27.490220][2284.962455186], took 0.06min
2025-12-04T09:50:27.5005330Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_external_callables/inductor.test_external_callables-0274a92f63c606c3.xml
2025-12-04T09:50:27.5291075Z Running test_testing 1/1 ... [2025-12-04 09:50:27.528834][2285.001067949]
2025-12-04T09:50:27.5291550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:27.5293764Z 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 09:50:27.529145]
2025-12-04T09:50:32.1674680Z 
2025-12-04T09:50:32.1675584Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_3f91f6b6d640fa65_.log
2025-12-04T09:50:32.1676302Z Running 0 items in this shard:
2025-12-04T09:50:32.1676511Z 
2025-12-04T09:50:32.1676755Z Finished test_testing 1/1 ... [2025-12-04 09:50:32.167293][2289.639527272], took 0.08min
2025-12-04T09:50:32.1775622Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_testing/test_testing-751cdefda2808e63.xml
2025-12-04T09:50:32.2063857Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:50:32.206198][2289.678432859]
2025-12-04T09:50:32.2064383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:32.2067317Z 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 09:50:32.206521]
2025-12-04T09:50:35.2913809Z 
2025-12-04T09:50:35.2915021Z 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_a848fb11ccf2a3c7_.log
2025-12-04T09:50:35.2915944Z Running 0 items in this shard:
2025-12-04T09:50:35.2916135Z 
2025-12-04T09:50:35.2916457Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:50:35.291203][2292.763436463], took 0.05min
2025-12-04T09:50:35.3016317Z 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-fab5b351db06d9d5.xml
2025-12-04T09:50:35.3253227Z Running export/test_strict_export_v2 1/1 ... [2025-12-04 09:50:35.325133][2292.797365736]
2025-12-04T09:50:35.3253756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:35.3256661Z 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 09:50:35.325454]
2025-12-04T09:50:43.9087465Z 
2025-12-04T09:50:43.9088506Z 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_e600fbd1c8871d33_.log
2025-12-04T09:50:43.9089383Z Running 0 items in this shard:
2025-12-04T09:50:43.9089579Z 
2025-12-04T09:50:43.9089896Z Finished export/test_strict_export_v2 1/1 ... [2025-12-04 09:50:43.908600][2301.380834204], took 0.14min
2025-12-04T09:50:43.9191901Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_strict_export_v2/export.test_strict_export_v2-3e3afa95f4e6950d.xml
2025-12-04T09:50:44.0548092Z Running inductor/test_segmented_tree 1/1 ... [2025-12-04 09:50:44.054573][2301.526804905]
2025-12-04T09:50:44.0548631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:44.0552043Z 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 09:50:44.054934]
2025-12-04T09:50:47.1723066Z 
2025-12-04T09:50:47.1724063Z 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_45539cac161b12eb_.log
2025-12-04T09:50:47.1724941Z Running 0 items in this shard:
2025-12-04T09:50:47.1725187Z 
2025-12-04T09:50:47.1725510Z Finished inductor/test_segmented_tree 1/1 ... [2025-12-04 09:50:47.172136][2304.644369903], took 0.05min
2025-12-04T09:50:47.1828583Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_segmented_tree/inductor.test_segmented_tree-cc551981aaefba3e.xml
2025-12-04T09:50:47.2106639Z Running inductor/test_kernel_optimization 1/1 ... [2025-12-04 09:50:47.210479][2304.68271281]
2025-12-04T09:50:47.2107176Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:47.2110422Z 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 09:50:47.210811]
2025-12-04T09:50:54.8594838Z 
2025-12-04T09:50:54.8595895Z 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_3fa9bff17f34da7b_.log
2025-12-04T09:50:54.8596865Z Running 0 items in this shard:
2025-12-04T09:50:54.8597056Z 
2025-12-04T09:50:54.8597420Z Finished inductor/test_kernel_optimization 1/1 ... [2025-12-04 09:50:54.859318][2312.331551189], took 0.13min
2025-12-04T09:50:54.8700483Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_kernel_optimization/inductor.test_kernel_optimization-dadd8df52ffc47c7.xml
2025-12-04T09:50:55.1970004Z Uploading artifacts took 0.23 seconds
2025-12-04T09:50:55.1973832Z Running inductor/test_metrics 1/1 ... [2025-12-04 09:50:55.197219][2312.669451728]
2025-12-04T09:50:55.1974334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:55.1978514Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.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 09:50:55.197601]
2025-12-04T09:51:02.7626476Z 
2025-12-04T09:51:02.7627415Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_9edffca21ede1ef1_.log
2025-12-04T09:51:02.7628132Z 
2025-12-04T09:51:02.7628472Z Finished inductor/test_metrics 1/1 ... [2025-12-04 09:51:02.762452][2320.234686853], took 0.13min
2025-12-04T09:51:02.7738725Z Running export/test_unflatten_training_ir 1/1 ... [2025-12-04 09:51:02.773695][2320.245929674]
2025-12-04T09:51:02.7739291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:02.7744024Z 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 09:51:02.774170]
2025-12-04T09:51:05.9211804Z 
2025-12-04T09:51:05.9212855Z 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_85e3feb5ed0a20c6_.log
2025-12-04T09:51:05.9213786Z Running 0 items in this shard:
2025-12-04T09:51:05.9213982Z 
2025-12-04T09:51:05.9214379Z Finished export/test_unflatten_training_ir 1/1 ... [2025-12-04 09:51:05.921024][2323.393257822], took 0.05min
2025-12-04T09:51:05.9322040Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten_training_ir/export.test_unflatten_training_ir-05f10af021bac1ad.xml
2025-12-04T09:51:06.0036485Z Running inductor/test_fx_fusion 1/1 ... [2025-12-04 09:51:06.003416][2323.475648267]
2025-12-04T09:51:06.0036993Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:06.0040074Z 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 09:51:06.003769]
2025-12-04T09:51:10.0427253Z 
2025-12-04T09:51:10.0428571Z 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_94b5905fb95c5032_.log
2025-12-04T09:51:10.0429383Z Running 0 items in this shard:
2025-12-04T09:51:10.0429595Z 
2025-12-04T09:51:10.0429892Z Finished inductor/test_fx_fusion 1/1 ... [2025-12-04 09:51:10.042552][2327.514785081], took 0.07min
2025-12-04T09:51:10.0536780Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-8f3f09987cc4373d.xml
2025-12-04T09:51:10.0842907Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:51:10.084065][2327.556298427]
2025-12-04T09:51:10.0843595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:10.0847172Z 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 09:51:10.084423]
2025-12-04T09:51:14.1091358Z 
2025-12-04T09:51:14.1092650Z 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_a566e3aa29d99611_.log
2025-12-04T09:51:14.1093544Z Running 0 items in this shard:
2025-12-04T09:51:14.1093736Z 
2025-12-04T09:51:14.1094060Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:51:14.108963][2331.581196486], took 0.07min
2025-12-04T09:51:14.1202446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-024ef563aa95a36a.xml
2025-12-04T09:51:14.1469371Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 09:51:14.146722][2331.618954904]
2025-12-04T09:51:14.1470047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:14.1473532Z 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 09:51:14.147072]
2025-12-04T09:51:17.2543929Z 
2025-12-04T09:51:17.2545293Z 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_2fefa33223090d9d_.log
2025-12-04T09:51:17.2546263Z Running 0 items in this shard:
2025-12-04T09:51:17.2546469Z 
2025-12-04T09:51:17.2546848Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 09:51:17.254240][2334.726472735], took 0.05min
2025-12-04T09:51:17.2655824Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-98462957c3f3a55e.xml
2025-12-04T09:51:17.2967149Z Running dynamo/test_base_output 1/1 ... [2025-12-04 09:51:17.296516][2334.768749966]
2025-12-04T09:51:17.2967770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:17.2970947Z 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 09:51:17.296838]
2025-12-04T09:51:20.7276183Z 
2025-12-04T09:51:20.7277351Z 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_95982ea9f02a1955_.log
2025-12-04T09:51:20.7278403Z Running 0 items in this shard:
2025-12-04T09:51:20.7278608Z 
2025-12-04T09:51:20.7279028Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 09:51:20.727473][2338.199706058], took 0.06min
2025-12-04T09:51:20.7389754Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-a81b79dc304bdc39.xml
2025-12-04T09:51:20.7640081Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:51:20.763820][2338.236054493]
2025-12-04T09:51:20.7640726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:20.7644085Z 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 09:51:20.764139]
2025-12-04T09:51:28.3061209Z 
2025-12-04T09:51:28.3062496Z 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_b8ac47562cd6e3a1_.log
2025-12-04T09:51:28.3063242Z 
2025-12-04T09:51:28.3063559Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:51:28.305931][2345.778165115], took 0.13min
2025-12-04T09:51:28.3181043Z Running export/test_serialize 1/1 ... [2025-12-04 09:51:28.317828][2345.790063415]
2025-12-04T09:51:28.3181560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:28.3184306Z 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 09:51:28.318167]
2025-12-04T09:51:36.1567757Z 
2025-12-04T09:51:36.1568978Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_8520139bc6db1c97_.log
2025-12-04T09:51:36.1569825Z Running 0 items in this shard:
2025-12-04T09:51:36.1570018Z 
2025-12-04T09:51:36.1570326Z Finished export/test_serialize 1/1 ... [2025-12-04 09:51:36.156603][2353.628837928], took 0.13min
2025-12-04T09:51:36.1683423Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-a55c98db94635752.xml
2025-12-04T09:51:36.2435890Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:51:36.243310][2353.715543663]
2025-12-04T09:51:36.2436519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:36.2439613Z 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 09:51:36.243653]
2025-12-04T09:51:43.8994257Z 
2025-12-04T09:51:43.8995547Z 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_621d9c82a47cf087_.log
2025-12-04T09:51:43.8996441Z Running 0 items in this shard:
2025-12-04T09:51:43.8996663Z 
2025-12-04T09:51:43.8997048Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:51:43.899276][2361.371509303], took 0.13min
2025-12-04T09:51:43.9111713Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-0140ba277cf750c0.xml
2025-12-04T09:51:43.9737380Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:51:43.973481][2361.445714322]
2025-12-04T09:51:43.9738083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:43.9741147Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.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 09:51:43.973818]
2025-12-04T09:51:51.5639430Z 
2025-12-04T09:51:51.5640807Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_92f7031717c4dc58_.log
2025-12-04T09:51:51.5641651Z 
2025-12-04T09:51:51.5642093Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:51:51.563766][2369.035998121], took 0.13min
2025-12-04T09:51:51.5761881Z Running export/test_export_strict 1/1 ... [2025-12-04 09:51:51.575942][2369.048177838]
2025-12-04T09:51:51.5762451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:51.5765736Z 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 09:51:51.576296]
2025-12-04T09:52:00.0638130Z 
2025-12-04T09:52:00.0639621Z 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_e96982fe738db915_.log
2025-12-04T09:52:00.0640489Z Running 0 items in this shard:
2025-12-04T09:52:00.0640680Z 
2025-12-04T09:52:00.0640989Z Finished export/test_export_strict 1/1 ... [2025-12-04 09:52:00.063638][2377.535872044], took 0.14min
2025-12-04T09:52:00.0756400Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-0172f234f26c334f.xml
2025-12-04T09:52:00.1595382Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:52:00.159263][2377.631496073]
2025-12-04T09:52:00.1596028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:00.1600052Z 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 09:52:00.159712]
2025-12-04T09:52:08.0603877Z 
2025-12-04T09:52:08.0605072Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_9e5eaeba03ddef42_.log
2025-12-04T09:52:08.0605887Z Running 0 items in this shard:
2025-12-04T09:52:08.0606081Z 
2025-12-04T09:52:08.0606376Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:52:08.060218][2385.53245074], took 0.13min
2025-12-04T09:52:08.0723540Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-0dba702234380573.xml
2025-12-04T09:52:08.1467511Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 09:52:08.146472][2385.618705292]
2025-12-04T09:52:08.1468404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:08.1471132Z 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 09:52:08.146823]
2025-12-04T09:52:11.2920144Z 
2025-12-04T09:52:11.2921144Z 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_0a494bbda60d0a90_.log
2025-12-04T09:52:11.2922064Z Running 0 items in this shard:
2025-12-04T09:52:11.2922256Z 
2025-12-04T09:52:11.2922581Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 09:52:11.291850][2388.76408362], took 0.05min
2025-12-04T09:52:11.3041212Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-ea0bf0f9896f1cc5.xml
2025-12-04T09:52:11.3309506Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:52:11.330717][2388.802950605]
2025-12-04T09:52:11.3310055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:11.3312893Z 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 09:52:11.331061]
2025-12-04T09:52:18.8390872Z 
2025-12-04T09:52:18.8391869Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_b1b2633907d236d1_.log
2025-12-04T09:52:18.8392648Z 
2025-12-04T09:52:18.8392988Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:52:18.838886][2396.311119737], took 0.13min
2025-12-04T09:52:18.8517085Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 09:52:18.851528][2396.323762967]
2025-12-04T09:52:18.8517613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:18.8521259Z 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 09:52:18.851875]
2025-12-04T09:52:22.2636637Z 
2025-12-04T09:52:22.2637611Z 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_0f62d0f1abf17539_.log
2025-12-04T09:52:22.2638497Z Running 0 items in this shard:
2025-12-04T09:52:22.2638693Z 
2025-12-04T09:52:22.2639039Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 09:52:22.263477][2399.735711041], took 0.06min
2025-12-04T09:52:22.2759669Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-34cd9fb2cba83d3d.xml
2025-12-04T09:52:22.3512304Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 09:52:22.350989][2399.823222238]
2025-12-04T09:52:22.3512833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:22.3515763Z 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 09:52:22.351325]
2025-12-04T09:52:30.2426416Z 
2025-12-04T09:52:30.2427381Z 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_0c609a62b39304ac_.log
2025-12-04T09:52:30.2428227Z Running 0 items in this shard:
2025-12-04T09:52:30.2428690Z 
2025-12-04T09:52:30.2429013Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 09:52:30.242483][2407.714715848], took 0.13min
2025-12-04T09:52:30.2547038Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-b0efab1f254cc906.xml
2025-12-04T09:52:30.3340109Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:52:30.333777][2407.806009515]
2025-12-04T09:52:30.3340627Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:30.3343631Z 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 09:52:30.334131]
2025-12-04T09:52:33.7659706Z 
2025-12-04T09:52:33.7660586Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_ca8f85bd6245d44f_.log
2025-12-04T09:52:33.7661448Z Running 0 items in this shard:
2025-12-04T09:52:33.7661642Z 
2025-12-04T09:52:33.7661943Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:52:33.765783][2411.238016392], took 0.06min
2025-12-04T09:52:33.7782920Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-d7e5b7c92c8e26b3.xml
2025-12-04T09:52:33.8049715Z Running inductor/test_foreach 1/1 ... [2025-12-04 09:52:33.804803][2411.277036917]
2025-12-04T09:52:33.8050218Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:33.8053468Z 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 09:52:33.805127]
2025-12-04T09:52:42.6391293Z 
2025-12-04T09:52:42.6392242Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_bff7e32c19e77466_.log
2025-12-04T09:52:42.6393065Z Running 0 items in this shard:
2025-12-04T09:52:42.6393258Z 
2025-12-04T09:52:42.6393822Z Finished inductor/test_foreach 1/1 ... [2025-12-04 09:52:42.638954][2420.111187155], took 0.15min
2025-12-04T09:52:42.6515208Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-a550b07f4c5b9829.xml
2025-12-04T09:52:42.7280253Z Running export/test_tree_utils 1/1 ... [2025-12-04 09:52:42.727742][2420.199974856]
2025-12-04T09:52:42.7280788Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:42.7283623Z 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 09:52:42.728101]
2025-12-04T09:52:45.8190948Z 
2025-12-04T09:52:45.8191899Z 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_a6b805695ca99f04_.log
2025-12-04T09:52:45.8192737Z Running 0 items in this shard:
2025-12-04T09:52:45.8192945Z 
2025-12-04T09:52:45.8193237Z Finished export/test_tree_utils 1/1 ... [2025-12-04 09:52:45.818929][2423.291163399], took 0.05min
2025-12-04T09:52:45.8318102Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tree_utils/export.test_tree_utils-e25b358a5be15c57.xml
2025-12-04T09:52:45.8549755Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 09:52:45.854747][2423.326979329]
2025-12-04T09:52:45.8550301Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:45.8553199Z 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 09:52:45.855094]
2025-12-04T09:52:53.5398726Z 
2025-12-04T09:52:53.5399769Z 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_c776b4b75cde2463_.log
2025-12-04T09:52:53.5400712Z Running 0 items in this shard:
2025-12-04T09:52:53.5400907Z 
2025-12-04T09:52:53.5401259Z Finished inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 09:52:53.539700][2431.011931978], took 0.13min
2025-12-04T09:52:53.5525796Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_static_cuda_launcher/inductor.test_static_cuda_launcher-6eff45adeb47fc40.xml
2025-12-04T09:52:53.6197945Z Running export/test_dynamic_shapes 1/1 ... [2025-12-04 09:52:53.619554][2431.091786897]
2025-12-04T09:52:53.6198468Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:53.6201378Z 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 09:52:53.619895]
2025-12-04T09:52:56.7043716Z 
2025-12-04T09:52:56.7044717Z 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_dd783919772ffdbe_.log
2025-12-04T09:52:56.7045569Z Running 0 items in this shard:
2025-12-04T09:52:56.7045777Z 
2025-12-04T09:52:56.7046091Z Finished export/test_dynamic_shapes 1/1 ... [2025-12-04 09:52:56.704204][2434.176437542], took 0.05min
2025-12-04T09:52:56.7173103Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_dynamic_shapes/export.test_dynamic_shapes-ffe97298b5d0c63f.xml
2025-12-04T09:52:56.7437864Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 09:52:56.743590][2434.215823461]
2025-12-04T09:52:56.7438328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:56.7441708Z 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 09:52:56.743929]
2025-12-04T09:53:00.1571344Z 
2025-12-04T09:53:00.1572201Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_c6afb89708e6bc90_.log
2025-12-04T09:53:00.1572966Z Running 0 items in this shard:
2025-12-04T09:53:00.1573160Z 
2025-12-04T09:53:00.1573427Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 09:53:00.156964][2437.629197196], took 0.06min
2025-12-04T09:53:00.1701449Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sdpa/dynamo.test_sdpa-d23ae6ff8490b040.xml
2025-12-04T09:53:00.1975396Z Running dynamo/test_utils 1/1 ... [2025-12-04 09:53:00.197359][2437.669592688]
2025-12-04T09:53:00.1975885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:00.1979421Z 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 09:53:00.197700]
2025-12-04T09:53:03.3132830Z 
2025-12-04T09:53:03.3133710Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_9ad7cb8d50504470_.log
2025-12-04T09:53:03.3134751Z Running 0 items in this shard:
2025-12-04T09:53:03.3134947Z 
2025-12-04T09:53:03.3135229Z Finished dynamo/test_utils 1/1 ... [2025-12-04 09:53:03.313115][2440.785349229], took 0.05min
2025-12-04T09:53:03.3263913Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-cd797127af491686.xml
2025-12-04T09:53:03.3560952Z Running inductor/test_provenance_tracing 1/1 ... [2025-12-04 09:53:03.355908][2440.828141477]
2025-12-04T09:53:03.3561493Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:03.3564961Z 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 09:53:03.356254]
2025-12-04T09:53:11.3092710Z 
2025-12-04T09:53:11.3093778Z 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_66acc146f4f69692_.log
2025-12-04T09:53:11.3094737Z Running 0 items in this shard:
2025-12-04T09:53:11.3094930Z 
2025-12-04T09:53:11.3095293Z Finished inductor/test_provenance_tracing 1/1 ... [2025-12-04 09:53:11.309103][2448.781336798], took 0.13min
2025-12-04T09:53:11.3226029Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-4750086d368cc4ba.xml
2025-12-04T09:53:11.3976318Z Running inductor/test_combo_kernels 1/1 ... [2025-12-04 09:53:11.397379][2448.869612174]
2025-12-04T09:53:11.3976849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:11.3980009Z 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 09:53:11.397727]
2025-12-04T09:53:19.3164226Z 
2025-12-04T09:53:19.3165205Z 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_8b79f8ed3e6d3ff4_.log
2025-12-04T09:53:19.3166077Z Running 0 items in this shard:
2025-12-04T09:53:19.3166559Z 
2025-12-04T09:53:19.3166886Z Finished inductor/test_combo_kernels 1/1 ... [2025-12-04 09:53:19.316243][2456.788476431], took 0.13min
2025-12-04T09:53:19.3299221Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_combo_kernels/inductor.test_combo_kernels-0a2be218f2214c54.xml
2025-12-04T09:53:19.3972328Z Running inductor/test_codegen_triton 1/1 ... [2025-12-04 09:53:19.396935][2456.869166192]
2025-12-04T09:53:19.3972846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:19.3975707Z 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 09:53:19.397325]
2025-12-04T09:53:27.0303234Z 
2025-12-04T09:53:27.0304236Z 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_cf2ead340f51af64_.log
2025-12-04T09:53:27.0305123Z Running 0 items in this shard:
2025-12-04T09:53:27.0305316Z 
2025-12-04T09:53:27.0305640Z Finished inductor/test_codegen_triton 1/1 ... [2025-12-04 09:53:27.030148][2464.502381919], took 0.13min
2025-12-04T09:53:27.0437865Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_codegen_triton/inductor.test_codegen_triton-eb412e9d8688fd9b.xml
2025-12-04T09:53:27.1205997Z Running dynamo/test_frame_init 1/1 ... [2025-12-04 09:53:27.120362][2464.592595066]
2025-12-04T09:53:27.1206792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:27.1209611Z 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 09:53:27.120710]
2025-12-04T09:53:30.1961256Z 
2025-12-04T09:53:30.1962277Z 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_292cb99c8f4f3cf2_.log
2025-12-04T09:53:30.1963101Z Running 0 items in this shard:
2025-12-04T09:53:30.1963296Z 
2025-12-04T09:53:30.1963609Z Finished dynamo/test_frame_init 1/1 ... [2025-12-04 09:53:30.195871][2467.668104624], took 0.05min
2025-12-04T09:53:30.2096864Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-1ce7095bb2e93ee0.xml
2025-12-04T09:53:30.2348714Z Running inductor/test_device_assert 1/1 ... [2025-12-04 09:53:30.234690][2467.706924469]
2025-12-04T09:53:30.2349240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:30.2352521Z 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 09:53:30.235026]
2025-12-04T09:53:37.8942441Z 
2025-12-04T09:53:37.8943406Z 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_712d8b4314b7fa65_.log
2025-12-04T09:53:37.8944276Z Running 0 items in this shard:
2025-12-04T09:53:37.8944467Z 
2025-12-04T09:53:37.8944785Z Finished inductor/test_device_assert 1/1 ... [2025-12-04 09:53:37.894004][2475.36623768], took 0.13min
2025-12-04T09:53:37.9080560Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_device_assert/inductor.test_device_assert-7d9d8635cc14e18e.xml
2025-12-04T09:53:37.9818923Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:53:37.981660][2475.453892459]
2025-12-04T09:53:37.9819448Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:37.9823017Z 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 09:53:37.982016]
2025-12-04T09:53:41.3961418Z 
2025-12-04T09:53:41.3962470Z 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_9e32055936b69ab1_.log
2025-12-04T09:53:41.3963361Z Running 0 items in this shard:
2025-12-04T09:53:41.3963553Z 
2025-12-04T09:53:41.3963868Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 09:53:41.395980][2478.868212002], took 0.06min
2025-12-04T09:53:41.4101428Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-9bfaaf845de35649.xml
2025-12-04T09:53:41.4351625Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:53:41.434974][2478.907207991]
2025-12-04T09:53:41.4352164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:41.4355498Z 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 09:53:41.435316]
2025-12-04T09:53:44.8472723Z 
2025-12-04T09:53:44.8474036Z 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_c2677f2ae8224066_.log
2025-12-04T09:53:44.8474951Z Running 0 items in this shard:
2025-12-04T09:53:44.8475155Z 
2025-12-04T09:53:44.8475511Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:53:44.847092][2482.319326676], took 0.06min
2025-12-04T09:53:44.8614685Z 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-e4d21d9000b9c666.xml
2025-12-04T09:53:44.8841474Z Running dynamo/test_interop 1/1 ... [2025-12-04 09:53:44.883902][2482.35613655]
2025-12-04T09:53:44.8842006Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:44.8844793Z 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 09:53:44.884237]
2025-12-04T09:53:48.2944417Z 
2025-12-04T09:53:48.2945315Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_606bd84c207b8ed5_.log
2025-12-04T09:53:48.2946143Z Running 0 items in this shard:
2025-12-04T09:53:48.2946336Z 
2025-12-04T09:53:48.2946633Z Finished dynamo/test_interop 1/1 ... [2025-12-04 09:53:48.294269][2485.766503306], took 0.06min
2025-12-04T09:53:48.3087450Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_interop/dynamo.test_interop-d01a80896ffab18b.xml
2025-12-04T09:53:48.3341995Z Running functorch/test_eager_transforms 1/1 ... [2025-12-04 09:53:48.333988][2485.806221452]
2025-12-04T09:53:48.3342546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:48.3345694Z 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 09:53:48.334337]
2025-12-04T09:53:53.1041554Z 
2025-12-04T09:53:53.1043042Z 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_119a948ec8516cd1_.log
2025-12-04T09:53:53.1044074Z Running 0 items in this shard:
2025-12-04T09:53:53.1044271Z 
2025-12-04T09:53:53.1044678Z Finished functorch/test_eager_transforms 1/1 ... [2025-12-04 09:53:53.103971][2490.576205405], took 0.08min
2025-12-04T09:53:53.1187749Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_eager_transforms/functorch.test_eager_transforms-9dba6768a66e55ea.xml
2025-12-04T09:53:53.1420750Z Running inductor/test_benchmarking 1/1 ... [2025-12-04 09:53:53.141883][2490.614116249]
2025-12-04T09:53:53.1421368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:53.1424364Z 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 09:53:53.142203]
2025-12-04T09:54:00.8440832Z 
2025-12-04T09:54:00.8441861Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_069dc436d6906b5e_.log
2025-12-04T09:54:00.8442735Z Running 0 items in this shard:
2025-12-04T09:54:00.8442934Z 
2025-12-04T09:54:00.8443273Z Finished inductor/test_benchmarking 1/1 ... [2025-12-04 09:54:00.843912][2498.316145729], took 0.13min
2025-12-04T09:54:00.8585340Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmarking/inductor.test_benchmarking-0da49bed76e1a77e.xml
2025-12-04T09:54:00.9130192Z Running inductor/test_helion_kernels 1/1 ... [2025-12-04 09:54:00.912751][2498.38498317]
2025-12-04T09:54:00.9131824Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:00.9133921Z 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 09:54:00.913120]
2025-12-04T09:54:08.5503254Z 
2025-12-04T09:54:08.5504288Z 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_67047b322885572f_.log
2025-12-04T09:54:08.5505173Z Running 0 items in this shard:
2025-12-04T09:54:08.5505380Z 
2025-12-04T09:54:08.5505701Z Finished inductor/test_helion_kernels 1/1 ... [2025-12-04 09:54:08.550148][2506.022381808], took 0.13min
2025-12-04T09:54:08.5649726Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_helion_kernels/inductor.test_helion_kernels-148d7ba75a211212.xml
2025-12-04T09:54:08.6295090Z Running inductor/test_quantization 1/1 ... [2025-12-04 09:54:08.629251][2506.101483784]
2025-12-04T09:54:08.6295656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:08.6298288Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_quantization.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 09:54:08.629591]
2025-12-04T09:54:16.2125015Z 
2025-12-04T09:54:16.2126574Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_5db80ae1d4e79541_.log
2025-12-04T09:54:16.2128070Z 
2025-12-04T09:54:16.2128674Z Finished inductor/test_quantization 1/1 ... [2025-12-04 09:54:16.212324][2513.684557403], took 0.13min
2025-12-04T09:54:16.2279060Z Running export/test_tools 1/1 ... [2025-12-04 09:54:16.227662][2513.699898168]
2025-12-04T09:54:16.2279853Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:16.2284766Z 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 09:54:16.228092]
2025-12-04T09:54:19.6337516Z 
2025-12-04T09:54:19.6338916Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_9b698a6f1bc2fab2_.log
2025-12-04T09:54:19.6340338Z Running 0 items in this shard:
2025-12-04T09:54:19.6340728Z 
2025-12-04T09:54:19.6341256Z Finished export/test_tools 1/1 ... [2025-12-04 09:54:19.633561][2517.105796392], took 0.06min
2025-12-04T09:54:19.6488633Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tools/export.test_tools-c3a6358c96d7bbde.xml
2025-12-04T09:54:19.7158135Z Running inductor/test_compiled_optimizers 1/1 ... [2025-12-04 09:54:19.715477][2517.18771013]
2025-12-04T09:54:19.7159085Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:19.7161906Z 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 09:54:19.715847]
2025-12-04T09:54:29.8759822Z 
2025-12-04T09:54:29.8761499Z 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_525133a815941ada_.log
2025-12-04T09:54:29.8763621Z Running 0 items in this shard:
2025-12-04T09:54:29.8763982Z 
2025-12-04T09:54:29.8764678Z Finished inductor/test_compiled_optimizers 1/1 ... [2025-12-04 09:54:29.875771][2527.348005548], took 0.17min
2025-12-04T09:54:29.8912673Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-058553da384f0503.xml
2025-12-04T09:54:29.9789815Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:54:29.978660][2527.450892729]
2025-12-04T09:54:29.9790754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:29.9793860Z 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 09:54:29.979037]
2025-12-04T09:54:37.7707602Z 
2025-12-04T09:54:37.7708667Z 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_8e4a13da020e39ea_.log
2025-12-04T09:54:37.7709517Z 
2025-12-04T09:54:37.7709908Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:54:37.770581][2535.242812147], took 0.13min
2025-12-04T09:54:37.7865079Z Running inductor/test_memory_planning 1/1 ... [2025-12-04 09:54:37.786236][2535.258471159]
2025-12-04T09:54:37.7865622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:37.7868608Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory_planning.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 09:54:37.786610]
2025-12-04T09:54:45.6226184Z 
2025-12-04T09:54:45.6227199Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_0f7cfbba4d32a75a_.log
2025-12-04T09:54:45.6227989Z 
2025-12-04T09:54:45.6228615Z Finished inductor/test_memory_planning 1/1 ... [2025-12-04 09:54:45.622449][2543.094682235], took 0.13min
2025-12-04T09:54:45.6382745Z Running inductor/test_dependencies 1/1 ... [2025-12-04 09:54:45.638110][2543.110343765]
2025-12-04T09:54:45.6383267Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:45.6386718Z 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 09:54:45.638453]
2025-12-04T09:54:53.2117311Z 
2025-12-04T09:54:53.2118383Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_6ac57c5eb1f57cce_.log
2025-12-04T09:54:53.2119137Z 
2025-12-04T09:54:53.2119478Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 09:54:53.211550][2550.683784016], took 0.13min
2025-12-04T09:54:53.2271873Z Running inductor/test_alignment 1/1 ... [2025-12-04 09:54:53.226972][2550.699207688]
2025-12-04T09:54:53.2272372Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:53.2275758Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_alignment.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 09:54:53.227350]
2025-12-04T09:55:01.0349017Z 
2025-12-04T09:55:01.0349896Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_f3d576ebc8b3417c_.log
2025-12-04T09:55:01.0350876Z 
2025-12-04T09:55:01.0351201Z Finished inductor/test_alignment 1/1 ... [2025-12-04 09:55:01.034700][2558.506934551], took 0.13min
2025-12-04T09:55:01.0506411Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 09:55:01.050439][2558.522672988]
2025-12-04T09:55:01.0506922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:01.0509988Z 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 09:55:01.050778]
2025-12-04T09:55:04.6684538Z 
2025-12-04T09:55:04.6685491Z 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_b3f0ae37dd40dfb5_.log
2025-12-04T09:55:04.6686331Z Running 0 items in this shard:
2025-12-04T09:55:04.6686537Z 
2025-12-04T09:55:04.6686834Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 09:55:04.668263][2562.140496485], took 0.06min
2025-12-04T09:55:04.6836891Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_debug_utils/dynamo.test_debug_utils-ef70e1d7254617a2.xml
2025-12-04T09:55:04.7519040Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 09:55:04.751681][2562.223914829]
2025-12-04T09:55:04.7519531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:04.7522684Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_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 09:55:04.752013]
2025-12-04T09:55:12.6037320Z 
2025-12-04T09:55:12.6038250Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_048f20e8829b6a55_.log
2025-12-04T09:55:12.6039016Z 
2025-12-04T09:55:12.6039327Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 09:55:12.603569][2570.075803322], took 0.13min
2025-12-04T09:55:12.6194924Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:55:12.619328][2570.091563137]
2025-12-04T09:55:12.6195629Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:12.6199266Z 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 09:55:12.619700]
2025-12-04T09:55:16.0106498Z 
2025-12-04T09:55:16.0107334Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_f0b5cdf63128f135_.log
2025-12-04T09:55:16.0108113Z Running 0 items in this shard:
2025-12-04T09:55:16.0108308Z 
2025-12-04T09:55:16.0108571Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:55:16.010506][2573.482739279], took 0.06min
2025-12-04T09:55:16.0261302Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-8c546f8682d58cf8.xml
2025-12-04T09:55:16.0999093Z Running test_expanded_weights 1/1 ... [2025-12-04 09:55:16.099624][2573.571856586]
2025-12-04T09:55:16.0999620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:16.1002579Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_expanded_weights.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 09:55:16.099992]
2025-12-04T09:55:20.6096881Z 
2025-12-04T09:55:20.6097731Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_193b55fa82cd1c67_.log
2025-12-04T09:55:20.6098823Z Running 0 items in this shard:
2025-12-04T09:55:20.6099027Z 
2025-12-04T09:55:20.6099315Z Finished test_expanded_weights 1/1 ... [2025-12-04 09:55:20.609518][2578.081750591], took 0.08min
2025-12-04T09:55:20.6251320Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_expanded_weights/test_expanded_weights-5a111af158fa2ae5.xml
2025-12-04T09:55:20.6520571Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:55:20.651808][2578.124038574]
2025-12-04T09:55:20.6521102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:20.6524005Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.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 09:55:20.652164]
2025-12-04T09:55:24.6530894Z 
2025-12-04T09:55:24.6531911Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_b69b680399a6e373_.log
2025-12-04T09:55:24.6532834Z Running 0 items in this shard:
2025-12-04T09:55:24.6533024Z 
2025-12-04T09:55:24.6533411Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:55:24.652933][2582.125167506], took 0.07min
2025-12-04T09:55:24.6686344Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-59014952df3eeaa4.xml
2025-12-04T09:55:24.6934165Z Running test_weak 1/1 ... [2025-12-04 09:55:24.693209][2582.165442589]
2025-12-04T09:55:24.6934604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:24.6937720Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.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 09:55:24.693542]
2025-12-04T09:55:27.8684594Z 
2025-12-04T09:55:27.8685379Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_bb05de0f784e82b0_.log
2025-12-04T09:55:27.8686345Z Running 0 items in this shard:
2025-12-04T09:55:27.8686542Z 
2025-12-04T09:55:27.8686771Z Finished test_weak 1/1 ... [2025-12-04 09:55:27.868285][2585.340519304], took 0.05min
2025-12-04T09:55:27.8841628Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-634a03c853ad4993.xml
2025-12-04T09:55:27.9081739Z Running test_complex 1/1 ... [2025-12-04 09:55:27.907970][2585.380202818]
2025-12-04T09:55:27.9082267Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:27.9085397Z 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 09:55:27.908308]
2025-12-04T09:55:31.3207622Z 
2025-12-04T09:55:31.3208514Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_9d5aa52abe0f40a9_.log
2025-12-04T09:55:31.3209254Z Running 0 items in this shard:
2025-12-04T09:55:31.3209445Z 
2025-12-04T09:55:31.3209703Z Finished test_complex 1/1 ... [2025-12-04 09:55:31.320599][2588.792833513], took 0.06min
2025-12-04T09:55:31.3367259Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-07a5494a68344036.xml
2025-12-04T09:55:31.3631901Z Running test_optim 1/1 ... [2025-12-04 09:55:31.363013][2588.835247092]
2025-12-04T09:55:31.3632356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:31.3635690Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 09:55:31.363352]
2025-12-04T09:55:36.1656722Z 
2025-12-04T09:55:36.1657612Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_95e1ef2741efa9fe_.log
2025-12-04T09:55:36.1658310Z Running 0 items in this shard:
2025-12-04T09:55:36.1658517Z 
2025-12-04T09:55:36.1658753Z Finished test_optim 1/1 ... [2025-12-04 09:55:36.165505][2593.63773863], took 0.08min
2025-12-04T09:55:36.1814555Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-ef28b1b5d27d398c.xml
2025-12-04T09:55:36.2064229Z Running lazy/test_functionalization 1/1 ... [2025-12-04 09:55:36.206211][2593.678445005]
2025-12-04T09:55:36.2064767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:36.2067724Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_functionalization.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 09:55:36.206552]
2025-12-04T09:55:39.3160941Z 
2025-12-04T09:55:39.3161986Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_9e835c2ebb4a101e_.log
2025-12-04T09:55:39.3162873Z Running 0 items in this shard:
2025-12-04T09:55:39.3163068Z 
2025-12-04T09:55:39.3163411Z Finished lazy/test_functionalization 1/1 ... [2025-12-04 09:55:39.315930][2596.788164068], took 0.05min
2025-12-04T09:55:39.3321646Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_functionalization/lazy.test_functionalization-61de0ef68bac9975.xml
2025-12-04T09:55:39.3606657Z Running torch_np/test_random 1/1 ... [2025-12-04 09:55:39.360472][2596.832705616]
2025-12-04T09:55:39.3607183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:39.3610719Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_random.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 09:55:39.360828]
2025-12-04T09:55:42.5205302Z 
2025-12-04T09:55:42.5206685Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_f8d19e2a96d88ea1_.log
2025-12-04T09:55:42.5208139Z Running 0 items in this shard:
2025-12-04T09:55:42.5208517Z 
2025-12-04T09:55:42.5209030Z Finished torch_np/test_random 1/1 ... [2025-12-04 09:55:42.520355][2599.992585976], took 0.05min
2025-12-04T09:55:42.5369586Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_random/torch_np.test_random-cb8cb472022123a9.xml
2025-12-04T09:55:42.5710512Z Running nn/test_multihead_attention 1/1 ... [2025-12-04 09:55:42.570798][2600.043031465]
2025-12-04T09:55:42.5711340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:42.5715556Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:42.571195]
2025-12-04T09:55:45.9860934Z 
2025-12-04T09:55:45.9862481Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_745e39b4a068a7c1_.log
2025-12-04T09:55:45.9864063Z Running 0 items in this shard:
2025-12-04T09:55:45.9864764Z 
2025-12-04T09:55:45.9865348Z Finished nn/test_multihead_attention 1/1 ... [2025-12-04 09:55:45.985922][2603.458157019], took 0.06min
2025-12-04T09:55:46.0026965Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_multihead_attention/nn.test_multihead_attention-df255dec270539ee.xml
2025-12-04T09:55:46.0301333Z Running test_legacy_vmap 1/1 ... [2025-12-04 09:55:46.029874][2603.50210715]
2025-12-04T09:55:46.0302073Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:46.0306080Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_legacy_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 09:55:46.030263]
2025-12-04T09:55:49.5926815Z 
2025-12-04T09:55:49.5927870Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_c0f86f8fe9e09c18_.log
2025-12-04T09:55:49.5928643Z Running 0 items in this shard:
2025-12-04T09:55:49.5928849Z 
2025-12-04T09:55:49.5929117Z Finished test_legacy_vmap 1/1 ... [2025-12-04 09:55:49.592508][2607.064743261], took 0.06min
2025-12-04T09:55:49.6091828Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_legacy_vmap/test_legacy_vmap-d06818fb9c2ecdee.xml
2025-12-04T09:55:49.6353407Z Running lazy/test_bindings 1/1 ... [2025-12-04 09:55:49.635095][2607.107329118]
2025-12-04T09:55:49.6353879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:49.6356706Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_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 09:55:49.635449]
2025-12-04T09:55:52.7357625Z 
2025-12-04T09:55:52.7358529Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_28960f022f186f0a_.log
2025-12-04T09:55:52.7359311Z Running 0 items in this shard:
2025-12-04T09:55:52.7359519Z 
2025-12-04T09:55:52.7359798Z Finished lazy/test_bindings 1/1 ... [2025-12-04 09:55:52.735618][2610.207851134], took 0.05min
2025-12-04T09:55:52.7523353Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_bindings/lazy.test_bindings-f33f761906dd35bd.xml
2025-12-04T09:55:52.7764288Z Running test_pytree 1/1 ... [2025-12-04 09:55:52.776269][2610.248502021]
2025-12-04T09:55:52.7764747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:52.7768408Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pytree.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 09:55:52.776628]
2025-12-04T09:55:56.1418304Z 
2025-12-04T09:55:56.1419169Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_df59d93208848d88_.log
2025-12-04T09:55:56.1419870Z Running 0 items in this shard:
2025-12-04T09:55:56.1420078Z 
2025-12-04T09:55:56.1420350Z Finished test_pytree 1/1 ... [2025-12-04 09:55:56.141662][2613.613896312], took 0.06min
2025-12-04T09:55:56.1584386Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pytree/test_pytree-a4174fdca49ad504.xml
2025-12-04T09:55:56.1842990Z Running profiler/test_record_function 1/1 ... [2025-12-04 09:55:56.184099][2613.656332984]
2025-12-04T09:55:56.1843521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:56.1847046Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_record_function.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 09:55:56.184470]
2025-12-04T09:55:59.2957633Z 
2025-12-04T09:55:59.2959212Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_70218fdeceed4347_.log
2025-12-04T09:55:59.2960920Z Running 0 items in this shard:
2025-12-04T09:55:59.2961276Z 
2025-12-04T09:55:59.2961998Z Finished profiler/test_record_function 1/1 ... [2025-12-04 09:55:59.295582][2616.767816324], took 0.05min
2025-12-04T09:55:59.3129717Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-9fec6328a7b99e77.xml
2025-12-04T09:55:59.3376029Z Running test_compile_benchmark_util 1/1 ... [2025-12-04 09:55:59.337346][2616.809579297]
2025-12-04T09:55:59.3376876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:59.3381134Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_compile_benchmark_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 09:55:59.337728]
2025-12-04T09:56:02.7352834Z 
2025-12-04T09:56:02.7353949Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_5c7a4bd87d135ef3_.log
2025-12-04T09:56:02.7354822Z Running 0 items in this shard:
2025-12-04T09:56:02.7355014Z 
2025-12-04T09:56:02.7355347Z Finished test_compile_benchmark_util 1/1 ... [2025-12-04 09:56:02.735089][2620.207323169], took 0.06min
2025-12-04T09:56:02.7522645Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_compile_benchmark_util/test_compile_benchmark_util-e10718db76a5de53.xml
2025-12-04T09:56:02.7829975Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:56:02.782796][2620.255029828]
2025-12-04T09:56:02.7830537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:02.7834248Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.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 09:56:02.783159]
2025-12-04T09:56:05.8740927Z 
2025-12-04T09:56:05.8741955Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_5abf94236705e2cf_.log
2025-12-04T09:56:05.8742889Z Running 0 items in this shard:
2025-12-04T09:56:05.8743083Z 
2025-12-04T09:56:05.8743447Z Finished test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:56:05.873943][2623.346176876], took 0.05min
2025-12-04T09:56:05.8911197Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-dbdcc3749c0c7c0e.xml
2025-12-04T09:56:05.9201291Z Running test_stateless 1/1 ... [2025-12-04 09:56:05.919862][2623.392093528]
2025-12-04T09:56:05.9201774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:05.9204580Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.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 09:56:05.920233]
2025-12-04T09:56:09.4169652Z 
2025-12-04T09:56:09.4170573Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_fd578b5f356f025e_.log
2025-12-04T09:56:09.4171337Z Running 0 items in this shard:
2025-12-04T09:56:09.4171829Z 
2025-12-04T09:56:09.4172088Z Finished test_stateless 1/1 ... [2025-12-04 09:56:09.416804][2626.889038748], took 0.06min
2025-12-04T09:56:09.4342966Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_stateless/test_stateless-94e83a61605ddb10.xml
2025-12-04T09:56:09.4607464Z Running test_binary_ufuncs 1/1 ... [2025-12-04 09:56:09.460545][2626.932777579]
2025-12-04T09:56:09.4607938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:09.4611096Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_binary_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 09:56:09.460894]
2025-12-04T09:56:13.9344595Z 
2025-12-04T09:56:13.9345474Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_6ae13c117ff5e15d_.log
2025-12-04T09:56:13.9346290Z Running 0 items in this shard:
2025-12-04T09:56:13.9346481Z 
2025-12-04T09:56:13.9346771Z Finished test_binary_ufuncs 1/1 ... [2025-12-04 09:56:13.934302][2631.406535378], took 0.07min
2025-12-04T09:56:13.9514807Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_binary_ufuncs/test_binary_ufuncs-2e3011bfc8073521.xml
2025-12-04T09:56:13.9782911Z Running higher_order_ops/test_print 1/1 ... [2025-12-04 09:56:13.978068][2631.450301179]
2025-12-04T09:56:13.9783436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:13.9786256Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_print.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 09:56:13.978396]
2025-12-04T09:56:17.3736343Z 
2025-12-04T09:56:17.3737312Z higher_order_ops/test_print 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_print_1.1_5d698992c40f833f_.log
2025-12-04T09:56:17.3738159Z Running 0 items in this shard:
2025-12-04T09:56:17.3738363Z 
2025-12-04T09:56:17.3738674Z Finished higher_order_ops/test_print 1/1 ... [2025-12-04 09:56:17.373463][2634.84569682], took 0.06min
2025-12-04T09:56:17.3909938Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_print/higher_order_ops.test_print-05e144648e0eee83.xml
2025-12-04T09:56:17.4204234Z Running test_per_overload_api 1/1 ... [2025-12-04 09:56:17.420227][2634.892460968]
2025-12-04T09:56:17.4204778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:17.4207726Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_per_overload_api.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 09:56:17.420552]
2025-12-04T09:56:20.5225303Z 
2025-12-04T09:56:20.5226097Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_cd325b3c2cd299ba_.log
2025-12-04T09:56:20.5226871Z Running 0 items in this shard:
2025-12-04T09:56:20.5227098Z 
2025-12-04T09:56:20.5227385Z Finished test_per_overload_api 1/1 ... [2025-12-04 09:56:20.522385][2637.994617473], took 0.05min
2025-12-04T09:56:20.5399865Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_per_overload_api/test_per_overload_api-cddb8db3e8b3f4e8.xml
2025-12-04T09:56:20.5632716Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:56:20.563018][2638.035250381]
2025-12-04T09:56:20.5633279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:20.5636153Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.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 09:56:20.563389]
2025-12-04T09:56:23.7471887Z 
2025-12-04T09:56:23.7472994Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_610548fb7f269895_.log
2025-12-04T09:56:23.7473932Z Running 0 items in this shard:
2025-12-04T09:56:23.7474138Z 
2025-12-04T09:56:23.7474494Z Finished torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:56:23.747034][2641.219266275], took 0.05min
2025-12-04T09:56:23.7649331Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_einsum/torch_np.numpy_tests.core.test_einsum-901362de4fcfcce0.xml
2025-12-04T09:56:23.7890675Z Running test_out_dtype_op 1/1 ... [2025-12-04 09:56:23.788873][2641.261106986]
2025-12-04T09:56:23.7891143Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:23.7894418Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.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 09:56:23.789225]
2025-12-04T09:56:27.5265876Z 
2025-12-04T09:56:27.5266747Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_90b9205225316518_.log
2025-12-04T09:56:27.5267498Z Running 0 items in this shard:
2025-12-04T09:56:27.5267692Z 
2025-12-04T09:56:27.5267956Z Finished test_out_dtype_op 1/1 ... [2025-12-04 09:56:27.526412][2644.998645443], took 0.06min
2025-12-04T09:56:27.5442079Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_out_dtype_op/test_out_dtype_op-b490d4afc929417f.xml
2025-12-04T09:56:27.5702705Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:56:27.570085][2645.042318765]
2025-12-04T09:56:27.5703216Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:27.5706771Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_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 09:56:27.570429]
2025-12-04T09:56:31.3216159Z 
2025-12-04T09:56:31.3217110Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_1565779ae67e0e9a_.log
2025-12-04T09:56:31.3217966Z Running 0 items in this shard:
2025-12-04T09:56:31.3218157Z 
2025-12-04T09:56:31.3218476Z Finished torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:56:31.321459][2648.793692876], took 0.06min
2025-12-04T09:56:31.3395201Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ufuncs_basic/torch_np.test_ufuncs_basic-1dc4525cdf67dc8b.xml
2025-12-04T09:56:31.3810745Z Running lazy/test_step_closures 1/1 ... [2025-12-04 09:56:31.380835][2648.853068582]
2025-12-04T09:56:31.3811281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:31.3813930Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_step_closures.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 09:56:31.381183]
2025-12-04T09:56:34.4970751Z 
2025-12-04T09:56:34.4971675Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_53612c6a42671aa4_.log
2025-12-04T09:56:34.4972789Z Running 0 items in this shard:
2025-12-04T09:56:34.4972982Z 
2025-12-04T09:56:34.4973286Z Finished lazy/test_step_closures 1/1 ... [2025-12-04 09:56:34.496897][2651.969132146], took 0.05min
2025-12-04T09:56:34.5154318Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_step_closures/lazy.test_step_closures-a34eebd7bd71d3a1.xml
2025-12-04T09:56:34.5459915Z Running functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:56:34.545730][2652.017962129]
2025-12-04T09:56:34.5460462Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:34.5463388Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_getsetitem.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 09:56:34.546111]
2025-12-04T09:56:37.6745580Z 
2025-12-04T09:56:37.6746594Z functorch/dim/test_getsetitem 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_getsetitem_1.1_dcd4172036a020ee_.log
2025-12-04T09:56:37.6747537Z Running 0 items in this shard:
2025-12-04T09:56:37.6747727Z 
2025-12-04T09:56:37.6748071Z Finished functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:56:37.674378][2655.146612357], took 0.05min
2025-12-04T09:56:37.6926409Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_getsetitem/functorch.dim.test_getsetitem-665db78135b4aef9.xml
2025-12-04T09:56:37.7203748Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:56:37.720205][2655.192438076]
2025-12-04T09:56:37.7204260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:37.7207814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.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 09:56:37.720562]
2025-12-04T09:56:43.2961948Z 
2025-12-04T09:56:43.2963066Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_1e677264aab0f34a_.log
2025-12-04T09:56:43.2963910Z Running 0 items in this shard:
2025-12-04T09:56:43.2964367Z 
2025-12-04T09:56:43.2964679Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:56:43.296025][2660.768259653], took 0.09min
2025-12-04T09:56:43.3144246Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-00742c405c6c85e0.xml
2025-12-04T09:56:43.3412044Z Running test_hub 1/1 ... [2025-12-04 09:56:43.341056][2660.813290335]
2025-12-04T09:56:43.3412486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:43.3416006Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.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 09:56:43.341400]
2025-12-04T09:56:46.4670443Z 
2025-12-04T09:56:46.4671273Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_cd8366f87c33205f_.log
2025-12-04T09:56:46.4671966Z Running 0 items in this shard:
2025-12-04T09:56:46.4672161Z 
2025-12-04T09:56:46.4672405Z Finished test_hub 1/1 ... [2025-12-04 09:56:46.466894][2663.939125184], took 0.05min
2025-12-04T09:56:46.4855748Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-c522cb769cd0390b.xml
2025-12-04T09:56:46.5122746Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 09:56:46.512108][2663.984342671]
2025-12-04T09:56:46.5123246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:46.5126678Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_opaque_obj_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 09:56:46.512454]
2025-12-04T09:56:49.9429423Z 
2025-12-04T09:56:49.9430326Z test_opaque_obj_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_opaque_obj_v2_1.1_bb2be09f6133ec30_.log
2025-12-04T09:56:49.9431097Z Running 0 items in this shard:
2025-12-04T09:56:49.9431302Z 
2025-12-04T09:56:49.9431572Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 09:56:49.942782][2667.415016367], took 0.06min
2025-12-04T09:56:49.9616270Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_opaque_obj_v2/test_opaque_obj_v2-790b6c71c8dba18e.xml
2025-12-04T09:56:49.9903846Z Running test_type_hints 1/1 ... [2025-12-04 09:56:49.990194][2667.462428208]
2025-12-04T09:56:49.9904360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:49.9907440Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.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 09:56:49.990525]
2025-12-04T09:56:53.1083123Z 
2025-12-04T09:56:53.1083961Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_7c738576aa85a251_.log
2025-12-04T09:56:53.1084715Z Running 0 items in this shard:
2025-12-04T09:56:53.1084909Z 
2025-12-04T09:56:53.1085168Z Finished test_type_hints 1/1 ... [2025-12-04 09:56:53.108141][2670.580373469], took 0.05min
2025-12-04T09:56:53.1271423Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-9398a28f96cdc110.xml
2025-12-04T09:56:53.1509015Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:56:53.150724][2670.622957326]
2025-12-04T09:56:53.1509607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:53.1513174Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.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 09:56:53.151075]
2025-12-04T09:56:56.5678139Z 
2025-12-04T09:56:56.5679223Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_3d0fd48675ede97a_.log
2025-12-04T09:56:56.5680209Z Running 0 items in this shard:
2025-12-04T09:56:56.5680401Z 
2025-12-04T09:56:56.5680796Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:56:56.567644][2674.039878415], took 0.06min
2025-12-04T09:56:56.5866385Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aot_joint_with_descriptors/functorch.test_aot_joint_with_descriptors-bcf0f4fa2d48f77c.xml
2025-12-04T09:56:56.6140489Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:56:56.613861][2674.086095045]
2025-12-04T09:56:56.6141064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:56.6144217Z 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 09:56:56.614203]
2025-12-04T09:57:00.2209760Z 
2025-12-04T09:57:00.2210742Z 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_50236a573aba867d_.log
2025-12-04T09:57:00.2211956Z Running 0 items in this shard:
2025-12-04T09:57:00.2212146Z 
2025-12-04T09:57:00.2212503Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:57:00.220819][2677.693052965], took 0.06min
2025-12-04T09:57:00.2401858Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-286413623a04e35b.xml
2025-12-04T09:57:00.2672086Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:57:00.267021][2677.739255449]
2025-12-04T09:57:00.2672591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:00.2675758Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.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 09:57:00.267367]
2025-12-04T09:57:03.3819840Z 
2025-12-04T09:57:03.3820725Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_44736e71ff0bc037_.log
2025-12-04T09:57:03.3821540Z Running 0 items in this shard:
2025-12-04T09:57:03.3821733Z 
2025-12-04T09:57:03.3822052Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:57:03.381815][2680.854049512], took 0.05min
2025-12-04T09:57:03.4026812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-b0e191c7789bb5e8.xml
2025-12-04T09:57:03.4305910Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:57:03.430396][2680.902629655]
2025-12-04T09:57:03.4306431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:03.4309628Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.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 09:57:03.430742]
2025-12-04T09:57:11.2340291Z 
2025-12-04T09:57:11.2341301Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_c5c56ad14409fb13_.log
2025-12-04T09:57:11.2342436Z Running 0 items in this shard:
2025-12-04T09:57:11.2342649Z 
2025-12-04T09:57:11.2342968Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:57:11.233869][2688.706101346], took 0.13min
2025-12-04T09:57:11.2535268Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-105cf5ba0b499c55.xml
2025-12-04T09:57:11.3213023Z Running test_logging 1/1 ... [2025-12-04 09:57:11.321081][2688.793313351]
2025-12-04T09:57:11.3213469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:11.3216517Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 09:57:11.321437]
2025-12-04T09:57:14.4221010Z 
2025-12-04T09:57:14.4221854Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_412a11d0974baa15_.log
2025-12-04T09:57:14.4222583Z Running 0 items in this shard:
2025-12-04T09:57:14.4222780Z 
2025-12-04T09:57:14.4223040Z Finished test_logging 1/1 ... [2025-12-04 09:57:14.421945][2691.894178678], took 0.05min
2025-12-04T09:57:14.4418365Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-f663911910ff1463.xml
2025-12-04T09:57:14.4667449Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 09:57:14.466565][2691.938798691]
2025-12-04T09:57:14.4667939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:14.4671123Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_lazy_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 09:57:14.466905]
2025-12-04T09:57:17.9494286Z 
2025-12-04T09:57:17.9495222Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_a583d48e9105ac03_.log
2025-12-04T09:57:17.9496010Z Running 0 items in this shard:
2025-12-04T09:57:17.9496213Z 
2025-12-04T09:57:17.9496494Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 09:57:17.949259][2695.421493436], took 0.06min
2025-12-04T09:57:17.9690577Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-a7277fbe0ea27b9b.xml
2025-12-04T09:57:17.9940227Z Running nn/test_pruning 1/1 ... [2025-12-04 09:57:17.993838][2695.466072236]
2025-12-04T09:57:17.9940695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:17.9943951Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pruning.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 09:57:17.994185]
2025-12-04T09:57:21.4814926Z 
2025-12-04T09:57:21.4815767Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_dff6be7053fa27b1_.log
2025-12-04T09:57:21.4816520Z Running 0 items in this shard:
2025-12-04T09:57:21.4816729Z 
2025-12-04T09:57:21.4816990Z Finished nn/test_pruning 1/1 ... [2025-12-04 09:57:21.481325][2698.953558272], took 0.06min
2025-12-04T09:57:21.5012152Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-20546e0126e4aa19.xml
2025-12-04T09:57:21.5253715Z Running test_monitor 1/1 ... [2025-12-04 09:57:21.525197][2698.997430191]
2025-12-04T09:57:21.5254170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:21.5257849Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_monitor.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 09:57:21.525553]
2025-12-04T09:57:24.6340474Z 
2025-12-04T09:57:24.6341313Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_e8c0dc777e79bf41_.log
2025-12-04T09:57:24.6342040Z Running 0 items in this shard:
2025-12-04T09:57:24.6342250Z 
2025-12-04T09:57:24.6342497Z Finished test_monitor 1/1 ... [2025-12-04 09:57:24.633894][2702.106128311], took 0.05min
2025-12-04T09:57:24.6539738Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-1031927709c913c1.xml
2025-12-04T09:57:24.6794972Z Running test_bundled_inputs 1/1 ... [2025-12-04 09:57:24.679333][2702.151566256]
2025-12-04T09:57:24.6795440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:24.6798893Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_bundled_inputs.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 09:57:24.679676]
2025-12-04T09:57:27.8088659Z 
2025-12-04T09:57:27.8089548Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_9320800c2c23ce0d_.log
2025-12-04T09:57:27.8090343Z Running 0 items in this shard:
2025-12-04T09:57:27.8090535Z 
2025-12-04T09:57:27.8090829Z Finished test_bundled_inputs 1/1 ... [2025-12-04 09:57:27.808688][2705.280921922], took 0.05min
2025-12-04T09:57:27.8290961Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-84f2783782b89c7c.xml
2025-12-04T09:57:27.8764214Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:57:27.876235][2705.348468784]
2025-12-04T09:57:27.8764791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:27.8768052Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.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 09:57:27.876584]
2025-12-04T09:57:31.5810754Z 
2025-12-04T09:57:31.5811758Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_8df7da73ced20165_.log
2025-12-04T09:57:31.5812747Z Running 0 items in this shard:
2025-12-04T09:57:31.5812937Z 
2025-12-04T09:57:31.5813298Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:57:31.580903][2709.053138105], took 0.06min
2025-12-04T09:57:31.6013954Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-a4e5a62fba1fef5c.xml
2025-12-04T09:57:31.6255782Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 09:57:31.625387][2709.097620484]
2025-12-04T09:57:31.6256362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:31.6259540Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_multiarray.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 09:57:31.625727]
2025-12-04T09:57:36.5038897Z 
2025-12-04T09:57:36.5039982Z torch_np/numpy_tests/core/test_multiarray 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_09b102fb8c85aa39_.log
2025-12-04T09:57:36.5040962Z Running 0 items in this shard:
2025-12-04T09:57:36.5041153Z 
2025-12-04T09:57:36.5042223Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 09:57:36.503730][2713.975964373], took 0.08min
2025-12-04T09:57:36.5242343Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_multiarray/torch_np.numpy_tests.core.test_multiarray-570e12de69509d0b.xml
2025-12-04T09:57:36.5470932Z Running test_itt 1/1 ... [2025-12-04 09:57:36.546928][2714.019161676]
2025-12-04T09:57:36.5471378Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:36.5474759Z 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 09:57:36.547271]
2025-12-04T09:57:39.6526059Z 
2025-12-04T09:57:39.6527011Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_b5272c74e756d205_.log
2025-12-04T09:57:39.6527688Z Running 0 items in this shard:
2025-12-04T09:57:39.6527890Z 
2025-12-04T09:57:39.6528114Z Finished test_itt 1/1 ... [2025-12-04 09:57:39.652448][2717.124681273], took 0.05min
2025-12-04T09:57:39.6732919Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-6345778ab0880dc8.xml
2025-12-04T09:57:39.7022017Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 09:57:39.701966][2717.174199225]
2025-12-04T09:57:39.7022603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:39.7025578Z 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 09:57:39.702315]
2025-12-04T09:57:43.8889090Z 
2025-12-04T09:57:43.8890274Z 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_6d95f99a1b3a7a71_.log
2025-12-04T09:57:43.8891261Z Running 0 items in this shard:
2025-12-04T09:57:43.8891468Z 
2025-12-04T09:57:43.8891857Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 09:57:43.888726][2721.360959974], took 0.07min
2025-12-04T09:57:43.9096560Z 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-e6fb6b03088c9ae0.xml
2025-12-04T09:57:43.9316352Z Running test_masked 1/1 ... [2025-12-04 09:57:43.931402][2721.403635916]
2025-12-04T09:57:43.9317117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:43.9321441Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_masked.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 09:57:43.931815]
2025-12-04T09:57:48.3538225Z 
2025-12-04T09:57:48.3539041Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_2edaeda03ad7d6ca_.log
2025-12-04T09:57:48.3539753Z Running 0 items in this shard:
2025-12-04T09:57:48.3539943Z 
2025-12-04T09:57:48.3540194Z Finished test_masked 1/1 ... [2025-12-04 09:57:48.353655][2725.825886857], took 0.07min
2025-12-04T09:57:48.3745188Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_masked/test_masked-bf266bbcec94079a.xml
2025-12-04T09:57:48.3976579Z Running test_sympy_utils 1/1 ... [2025-12-04 09:57:48.397465][2725.869698764]
2025-12-04T09:57:48.3977055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:48.3981586Z 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 09:57:48.397908]
2025-12-04T09:57:52.1459922Z 
2025-12-04T09:57:52.1460800Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_affe53238c4abb7a_.log
2025-12-04T09:57:52.1461561Z Running 0 items in this shard:
2025-12-04T09:57:52.1461761Z 
2025-12-04T09:57:52.1462026Z Finished test_sympy_utils 1/1 ... [2025-12-04 09:57:52.145838][2729.618070988], took 0.06min
2025-12-04T09:57:52.1669059Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-8ce080abe01852b3.xml
2025-12-04T09:57:52.1880919Z Running test_subclass 1/1 ... [2025-12-04 09:57:52.187927][2729.660160411]
2025-12-04T09:57:52.1881395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:52.1884719Z 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 09:57:52.188257]
2025-12-04T09:57:55.5267664Z 
2025-12-04T09:57:55.5268529Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_ca083be34fa1033e_.log
2025-12-04T09:57:55.5269275Z Running 0 items in this shard:
2025-12-04T09:57:55.5269747Z 
2025-12-04T09:57:55.5270011Z Finished test_subclass 1/1 ... [2025-12-04 09:57:55.526604][2732.99883805], took 0.06min
2025-12-04T09:57:55.5476380Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-3011be0535eed193.xml
2025-12-04T09:57:55.5731009Z Running test_import_stats 1/1 ... [2025-12-04 09:57:55.572890][2733.045123904]
2025-12-04T09:57:55.5731495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:55.5734311Z 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 09:57:55.573210]
2025-12-04T09:57:58.6797372Z 
2025-12-04T09:57:58.6798282Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_9f903966adc9e146_.log
2025-12-04T09:57:58.6799085Z Running 0 items in this shard:
2025-12-04T09:57:58.6799279Z 
2025-12-04T09:57:58.6799563Z Finished test_import_stats 1/1 ... [2025-12-04 09:57:58.679565][2736.151799383], took 0.05min
2025-12-04T09:57:58.7006627Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-29522328e9d54d33.xml
2025-12-04T09:57:58.7255615Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 09:57:58.725349][2736.197583031]
2025-12-04T09:57:58.7256192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:57:58.7259044Z 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 09:57:58.725672]
2025-12-04T09:58:05.0258695Z 
2025-12-04T09:58:05.0259737Z 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_45029f1a9f3257c0_.log
2025-12-04T09:58:05.0260680Z Running 0 items in this shard:
2025-12-04T09:58:05.0260872Z 
2025-12-04T09:58:05.0261506Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 09:58:05.025708][2742.497942038], took 0.11min
2025-12-04T09:58:05.0469026Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-501be9d48abef81a.xml
2025-12-04T09:58:05.1208542Z Running nn/test_parametrization 1/1 ... [2025-12-04 09:58:05.120544][2742.592775292]
2025-12-04T09:58:05.1209069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:05.1211154Z 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 09:58:05.120880]
2025-12-04T09:58:08.6508349Z 
2025-12-04T09:58:08.6509305Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_8cb7ee5eeb6ca36f_.log
2025-12-04T09:58:08.6510158Z Running 0 items in this shard:
2025-12-04T09:58:08.6510370Z 
2025-12-04T09:58:08.6510676Z Finished nn/test_parametrization 1/1 ... [2025-12-04 09:58:08.650655][2746.122889448], took 0.06min
2025-12-04T09:58:08.6720261Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-9f8ca87c2ad7e6d5.xml
2025-12-04T09:58:08.6965359Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 09:58:08.696278][2746.168511195]
2025-12-04T09:58:08.6965835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:08.6968209Z 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 09:58:08.696606]
2025-12-04T09:58:11.8487534Z 
2025-12-04T09:58:11.8488473Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_eb9dfdfa1bae248d_.log
2025-12-04T09:58:11.8489241Z Running 0 items in this shard:
2025-12-04T09:58:11.8489444Z 
2025-12-04T09:58:11.8489717Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 09:58:11.848576][2749.320810043], took 0.05min
2025-12-04T09:58:11.8703336Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-2b3025015d03f0cd.xml
2025-12-04T09:58:11.8973107Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:58:11.897121][2749.369355197]
2025-12-04T09:58:11.8973633Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:11.8976687Z 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 09:58:11.897451]
2025-12-04T09:58:16.3422939Z 
2025-12-04T09:58:16.3423857Z 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_fe549643625ca679_.log
2025-12-04T09:58:16.3424626Z Running 0 items in this shard:
2025-12-04T09:58:16.3424835Z 
2025-12-04T09:58:16.3425118Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:58:16.342117][2753.814351316], took 0.07min
2025-12-04T09:58:16.3481981Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-b5935d55a07b0e4b.xml
2025-12-04T09:58:16.3887703Z Running test_dynamic_shapes 1/1 ... [2025-12-04 09:58:16.388577][2753.860810115]
2025-12-04T09:58:16.3888185Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:16.3891553Z 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 09:58:16.388898]
2025-12-04T09:58:20.4854116Z 
2025-12-04T09:58:20.4854885Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_be69ad639a05d94b_.log
2025-12-04T09:58:20.4855661Z Running 0 items in this shard:
2025-12-04T09:58:20.4855853Z 
2025-12-04T09:58:20.4856147Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 09:58:20.485221][2757.957454949], took 0.07min
2025-12-04T09:58:20.5069485Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-0d2f3d86dbe2cb56.xml
2025-12-04T09:58:20.5341778Z Running optim/test_swa_utils 1/1 ... [2025-12-04 09:58:20.533991][2758.006225636]
2025-12-04T09:58:20.5342264Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:20.5345388Z 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 09:58:20.534319]
2025-12-04T09:58:23.5573738Z 
2025-12-04T09:58:23.5574634Z 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_584700f2f546d18e_.log
2025-12-04T09:58:23.5575311Z 
2025-12-04T09:58:23.5575607Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 09:58:23.557166][2761.029400017], took 0.05min
2025-12-04T09:58:23.5794328Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 09:58:23.579236][2761.051470173]
2025-12-04T09:58:23.5794897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:23.5798388Z 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 09:58:23.579621]
2025-12-04T09:58:26.7761287Z 
2025-12-04T09:58:26.7762602Z 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_7a704d5816ef7e16_.log
2025-12-04T09:58:26.7763581Z Running 0 items in this shard:
2025-12-04T09:58:26.7763787Z 
2025-12-04T09:58:26.7764166Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 09:58:26.775950][2764.248183588], took 0.05min
2025-12-04T09:58:26.7978586Z 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-f869dc64cd56e0b4.xml
2025-12-04T09:58:26.8715374Z Running torch_np/test_indexing 1/1 ... [2025-12-04 09:58:26.871295][2764.343527295]
2025-12-04T09:58:26.8715909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:26.8718600Z 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 09:58:26.871636]
2025-12-04T09:58:29.9921183Z 
2025-12-04T09:58:29.9922195Z 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_a11899b79e1f7404_.log
2025-12-04T09:58:29.9923053Z Running 0 items in this shard:
2025-12-04T09:58:29.9923250Z 
2025-12-04T09:58:29.9923559Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 09:58:29.991951][2767.464184737], took 0.05min
2025-12-04T09:58:30.0141546Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-32a62903423c869c.xml
2025-12-04T09:58:30.0526804Z Running test_schema_check 1/1 ... [2025-12-04 09:58:30.052468][2767.524700899]
2025-12-04T09:58:30.0527291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:30.0530469Z 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 09:58:30.052806]
2025-12-04T09:58:34.5493759Z 
2025-12-04T09:58:34.5494607Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_113fa8b8473cf43c_.log
2025-12-04T09:58:34.5495373Z Running 0 items in this shard:
2025-12-04T09:58:34.5495566Z 
2025-12-04T09:58:34.5495834Z Finished test_schema_check 1/1 ... [2025-12-04 09:58:34.549202][2772.021435102], took 0.07min
2025-12-04T09:58:34.5716541Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-83f2cac8c93d3791.xml
2025-12-04T09:58:34.5979476Z Running test_tensorboard 1/1 ... [2025-12-04 09:58:34.597706][2772.069939926]
2025-12-04T09:58:34.5979993Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:34.5982668Z 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 09:58:34.598045]
2025-12-04T09:58:38.1497265Z 
2025-12-04T09:58:38.1498143Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_54183c6ba7685ec7_.log
2025-12-04T09:58:38.1498907Z Running 0 items in this shard:
2025-12-04T09:58:38.1499113Z 
2025-12-04T09:58:38.1499414Z Finished test_tensorboard 1/1 ... [2025-12-04 09:58:38.149558][2775.621792048], took 0.06min
2025-12-04T09:58:38.1719462Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorboard/test_tensorboard-e0f65d6837dc86a7.xml
2025-12-04T09:58:38.1995437Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 09:58:38.199320][2775.671553101]
2025-12-04T09:58:38.1996031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:38.1998802Z 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 09:58:38.199644]
2025-12-04T09:58:41.4278744Z 
2025-12-04T09:58:41.4279868Z 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_4ec510f6fc1683d7_.log
2025-12-04T09:58:41.4280817Z Running 0 items in this shard:
2025-12-04T09:58:41.4281021Z 
2025-12-04T09:58:41.4281400Z Finished torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 09:58:41.427710][2778.899944216], took 0.05min
2025-12-04T09:58:41.4502564Z 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-2f956e4cee3c3e68.xml
2025-12-04T09:58:41.4765064Z Running test_futures 1/1 ... [2025-12-04 09:58:41.476326][2778.948558771]
2025-12-04T09:58:41.4765542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:41.4768506Z 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 09:58:41.476642]
2025-12-04T09:58:44.6240919Z 
2025-12-04T09:58:44.6241786Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_fb6ed1fd53f4bc9a_.log
2025-12-04T09:58:44.6242590Z Running 0 items in this shard:
2025-12-04T09:58:44.6242798Z 
2025-12-04T09:58:44.6243043Z Finished test_futures 1/1 ... [2025-12-04 09:58:44.623899][2782.096133016], took 0.05min
2025-12-04T09:58:44.6464988Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_futures/test_futures-8d667dfdcbd2d697.xml
2025-12-04T09:58:44.6740200Z Running nn/test_dropout 1/1 ... [2025-12-04 09:58:44.673803][2782.14603664]
2025-12-04T09:58:44.6740693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:44.6743570Z 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 09:58:44.674125]
2025-12-04T09:58:48.1180840Z 
2025-12-04T09:58:48.1181703Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_c1b43e21904a4055_.log
2025-12-04T09:58:48.1182456Z Running 0 items in this shard:
2025-12-04T09:58:48.1182649Z 
2025-12-04T09:58:48.1182918Z Finished nn/test_dropout 1/1 ... [2025-12-04 09:58:48.117915][2785.59014877], took 0.06min
2025-12-04T09:58:48.1406138Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-6f018c47da66a1f9.xml
2025-12-04T09:58:48.1700003Z Running functorch/dim/test_split 1/1 ... [2025-12-04 09:58:48.169805][2785.642039054]
2025-12-04T09:58:48.1700523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:48.1703555Z 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 09:58:48.170131]
2025-12-04T09:58:51.3308693Z 
2025-12-04T09:58:51.3309618Z 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_f9e7f03d0dd32227_.log
2025-12-04T09:58:51.3310477Z Running 0 items in this shard:
2025-12-04T09:58:51.3310670Z 
2025-12-04T09:58:51.3310992Z Finished functorch/dim/test_split 1/1 ... [2025-12-04 09:58:51.330710][2788.802944196], took 0.05min
2025-12-04T09:58:51.3533349Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_split/functorch.dim.test_split-068427a74dab8ae3.xml
2025-12-04T09:58:51.3831714Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 09:58:51.381869][2788.854102125]
2025-12-04T09:58:51.3832584Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:51.3834006Z 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 09:58:51.382202]
2025-12-04T09:58:54.5657979Z 
2025-12-04T09:58:54.5659043Z 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_3e6c26ebead0c4f6_.log
2025-12-04T09:58:54.5660057Z Running 0 items in this shard:
2025-12-04T09:58:54.5660253Z 
2025-12-04T09:58:54.5660620Z Finished torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 09:58:54.565640][2792.037874146], took 0.05min
2025-12-04T09:58:54.5884942Z 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-7ff7eab87e3d081f.xml
2025-12-04T09:58:54.6194013Z Running profiler/test_execution_trace 1/1 ... [2025-12-04 09:58:54.619204][2792.091437511]
2025-12-04T09:58:54.6194554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:54.6197501Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_execution_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 09:58:54.619522]
2025-12-04T09:58:58.0177487Z 
2025-12-04T09:58:58.0178611Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_6e17525dc822e005_.log
2025-12-04T09:58:58.0179505Z Running 0 items in this shard:
2025-12-04T09:58:58.0179700Z 
2025-12-04T09:58:58.0180076Z Finished profiler/test_execution_trace 1/1 ... [2025-12-04 09:58:58.017586][2795.48982004], took 0.06min
2025-12-04T09:58:58.0406686Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_execution_trace/profiler.test_execution_trace-d32b2d7cb42b0732.xml
2025-12-04T09:58:58.0687720Z Running test_jit 1/1 ... [2025-12-04 09:58:58.068563][2795.540795203]
2025-12-04T09:58:58.0688161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:58:58.0691160Z 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 09:58:58.068884]
2025-12-04T09:59:07.6166982Z 
2025-12-04T09:59:07.6167765Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_84c174578167f728_.log
2025-12-04T09:59:07.6168449Z Running 0 items in this shard:
2025-12-04T09:59:07.6168643Z 
2025-12-04T09:59:07.6168899Z Finished test_jit 1/1 ... [2025-12-04 09:59:07.616520][2805.088753334], took 0.16min
2025-12-04T09:59:07.6399004Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit/test_jit-fb5cb7897ac16eea.xml
2025-12-04T09:59:07.6987643Z Running test_datapipe 1/1 ... [2025-12-04 09:59:07.698542][2805.17077583]
2025-12-04T09:59:07.6988109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:07.6991156Z 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 09:59:07.698873]
2025-12-04T09:59:11.0320825Z 
2025-12-04T09:59:11.0321624Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_9b4b7398b00c7dae_.log
2025-12-04T09:59:11.0322434Z Running 0 items in this shard:
2025-12-04T09:59:11.0322641Z 
2025-12-04T09:59:11.0322896Z Finished test_datapipe 1/1 ... [2025-12-04 09:59:11.031927][2808.504161371], took 0.06min
2025-12-04T09:59:11.0552455Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_datapipe/test_datapipe-8576d4602a4b24b8.xml
2025-12-04T09:59:11.0812449Z Running test_numba_integration 1/1 ... [2025-12-04 09:59:11.081051][2808.553284945]
2025-12-04T09:59:11.0812954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:11.0815973Z 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 09:59:11.081383]
2025-12-04T09:59:14.5080610Z 
2025-12-04T09:59:14.5081772Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_7dfb9ec6d2dca036_.log
2025-12-04T09:59:14.5082685Z Running 0 items in this shard:
2025-12-04T09:59:14.5082879Z 
2025-12-04T09:59:14.5083179Z Finished test_numba_integration 1/1 ... [2025-12-04 09:59:14.507892][2811.980125908], took 0.06min
2025-12-04T09:59:14.5313956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numba_integration/test_numba_integration-040ab4de6f36ff37.xml
2025-12-04T09:59:14.5561634Z Running test_functional_optim 1/1 ... [2025-12-04 09:59:14.555977][2812.028211339]
2025-12-04T09:59:14.5562211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:14.5565316Z 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 09:59:14.556317]
2025-12-04T09:59:17.8698398Z 
2025-12-04T09:59:17.8699319Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_038060caf7897e63_.log
2025-12-04T09:59:17.8700120Z Running 0 items in this shard:
2025-12-04T09:59:17.8700325Z 
2025-12-04T09:59:17.8700617Z Finished test_functional_optim 1/1 ... [2025-12-04 09:59:17.869673][2815.341907379], took 0.06min
2025-12-04T09:59:17.8932522Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_optim/test_functional_optim-a593aba95a9b73df.xml
2025-12-04T09:59:17.9201335Z Running test_maskedtensor 1/1 ... [2025-12-04 09:59:17.919952][2815.392185591]
2025-12-04T09:59:17.9201872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:17.9205069Z 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 09:59:17.920284]
2025-12-04T09:59:22.6863763Z 
2025-12-04T09:59:22.6864668Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_b53e5bf542ece8c5_.log
2025-12-04T09:59:22.6865447Z Running 0 items in this shard:
2025-12-04T09:59:22.6865641Z 
2025-12-04T09:59:22.6865922Z Finished test_maskedtensor 1/1 ... [2025-12-04 09:59:22.686192][2820.158426484], took 0.08min
2025-12-04T09:59:22.7098699Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-f8a86bbfbc67afa8.xml
2025-12-04T09:59:22.7422678Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 09:59:22.742052][2820.214285604]
2025-12-04T09:59:22.7423241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:22.7426167Z 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 09:59:22.742386]
2025-12-04T09:59:25.8657131Z 
2025-12-04T09:59:25.8658196Z 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_fb831151f59e0856_.log
2025-12-04T09:59:25.8659148Z Running 0 items in this shard:
2025-12-04T09:59:25.8659372Z 
2025-12-04T09:59:25.8659747Z Finished benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 09:59:25.865538][2823.337772278], took 0.05min
2025-12-04T09:59:25.8893620Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-0e15f7fea4730f99.xml
2025-12-04T09:59:25.9159037Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 09:59:25.915708][2823.387941953]
2025-12-04T09:59:25.9159614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:25.9162562Z 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 09:59:25.916027]
2025-12-04T09:59:29.4016233Z 
2025-12-04T09:59:29.4017349Z 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_56d6ef01a141e903_.log
2025-12-04T09:59:29.4018366Z Running 0 items in this shard:
2025-12-04T09:59:29.4018572Z 
2025-12-04T09:59:29.4019039Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 09:59:29.401470][2826.873703903], took 0.06min
2025-12-04T09:59:29.4257751Z 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-9e089d56d5a8fc43.xml
2025-12-04T09:59:29.4535181Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 09:59:29.453306][2826.925537876]
2025-12-04T09:59:29.4535757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:29.4538854Z 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 09:59:29.453653]
2025-12-04T09:59:32.8503441Z 
2025-12-04T09:59:32.8504590Z 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_e1e7f8b8a155f0f2_.log
2025-12-04T09:59:32.8505566Z Running 0 items in this shard:
2025-12-04T09:59:32.8505778Z 
2025-12-04T09:59:32.8506151Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 09:59:32.850179][2830.322413825], took 0.06min
2025-12-04T09:59:32.8743589Z 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-42c242c792691f5c.xml
2025-12-04T09:59:32.8974847Z Running test_vulkan 1/1 ... [2025-12-04 09:59:32.897310][2830.369543801]
2025-12-04T09:59:32.8975298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:32.8978505Z 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 09:59:32.897630]
2025-12-04T09:59:35.9948870Z 
2025-12-04T09:59:35.9949649Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_960c7ecde8e6ccd9_.log
2025-12-04T09:59:35.9950367Z Running 0 items in this shard:
2025-12-04T09:59:35.9950557Z 
2025-12-04T09:59:35.9950816Z Finished test_vulkan 1/1 ... [2025-12-04 09:59:35.994715][2833.46694885], took 0.05min
2025-12-04T09:59:36.0189201Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-9e449d7319685d78.xml
2025-12-04T09:59:36.0446530Z Running lazy/test_generator 1/1 ... [2025-12-04 09:59:36.044488][2833.516721689]
2025-12-04T09:59:36.0447045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:36.0450533Z 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 09:59:36.044814]
2025-12-04T09:59:39.1493300Z 
2025-12-04T09:59:39.1494233Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_17855f5dc3d7b7a8_.log
2025-12-04T09:59:39.1495012Z Running 0 items in this shard:
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2025-12-04T09:59:39.1495504Z Finished lazy/test_generator 1/1 ... [2025-12-04 09:59:39.149161][2836.621395676], took 0.05min
2025-12-04T09:59:39.1735729Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-064df11ff768c9fe.xml
2025-12-04T09:59:39.1976385Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 09:59:39.197442][2836.669675798]
2025-12-04T09:59:39.1976938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:39.1980098Z 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 09:59:39.197786]
2025-12-04T09:59:42.8924557Z 
2025-12-04T09:59:42.8925671Z 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_a4809306048583d2_.log
2025-12-04T09:59:42.8926635Z Running 0 items in this shard:
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2025-12-04T09:59:42.8927486Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 09:59:42.892294][2840.364527437], took 0.06min
2025-12-04T09:59:42.9165612Z 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-2553b84eb4d0f1ad.xml
2025-12-04T09:59:42.9424852Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 09:59:42.942294][2840.414527383]
2025-12-04T09:59:42.9425464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:42.9428648Z 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 09:59:42.942622]
2025-12-04T09:59:46.2028136Z 
2025-12-04T09:59:46.2029199Z 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_aa93b754bbc63316_.log
2025-12-04T09:59:46.2030168Z Running 0 items in this shard:
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2025-12-04T09:59:46.2030728Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 09:59:46.202648][2843.674882847], took 0.05min
2025-12-04T09:59:46.2274069Z 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-59a2f012ae0bc8de.xml
2025-12-04T09:59:46.2532974Z Running lazy/test_debug_util 1/1 ... [2025-12-04 09:59:46.253140][2843.725374267]
2025-12-04T09:59:46.2533460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:46.2536772Z 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 09:59:46.253466]
2025-12-04T09:59:49.3531930Z 
2025-12-04T09:59:49.3532835Z 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_8611f7f704d12bc6_.log
2025-12-04T09:59:49.3533631Z Running 0 items in this shard:
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2025-12-04T09:59:49.3534355Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 09:59:49.353022][2846.825256624], took 0.05min
2025-12-04T09:59:49.3776836Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-36b9aa7f212f6b8b.xml
2025-12-04T09:59:49.4021650Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 09:59:49.401938][2846.874171049]
2025-12-04T09:59:49.4022142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:49.4025094Z 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 09:59:49.402289]
2025-12-04T09:59:52.8574110Z 
2025-12-04T09:59:52.8575045Z 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_0661491ea93deacf_.log
2025-12-04T09:59:52.8576748Z Running 0 items in this shard:
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2025-12-04T09:59:52.8577311Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 09:59:52.857250][2850.329484742], took 0.06min
2025-12-04T09:59:52.8819880Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-cbf30bcb69862cef.xml
2025-12-04T09:59:52.9528290Z Running nn/test_module_hooks 1/1 ... [2025-12-04 09:59:52.952601][2850.424834611]
2025-12-04T09:59:52.9528791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:52.9531803Z 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 09:59:52.952944]
2025-12-04T09:59:56.4422163Z 
2025-12-04T09:59:56.4423097Z 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_7ed535cec305256e_.log
2025-12-04T09:59:56.4423899Z Running 0 items in this shard:
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2025-12-04T09:59:56.4424390Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 09:59:56.442066][2853.91430025], took 0.06min
2025-12-04T09:59:56.4669827Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-e7d7b37445fe284a.xml
2025-12-04T09:59:56.4922224Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 09:59:56.492035][2853.964268495]
2025-12-04T09:59:56.4922823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:56.4926001Z 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 09:59:56.492368]
2025-12-04T09:59:59.6627798Z 
2025-12-04T09:59:59.6629479Z 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_a81eecd590119b95_.log
2025-12-04T09:59:59.6631097Z Running 0 items in this shard:
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2025-12-04T09:59:59.6631974Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 09:59:59.662573][2857.134807964], took 0.05min
2025-12-04T09:59:59.6876833Z 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-450a36b30b37f61e.xml
2025-12-04T09:59:59.7138267Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 09:59:59.713644][2857.185878307]
2025-12-04T09:59:59.7139064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:59:59.7141955Z 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 09:59:59.713977]
2025-12-04T10:00:03.1687000Z 
2025-12-04T10:00:03.1687988Z 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_28a22e3453a075a9_.log
2025-12-04T10:00:03.1688908Z Running 0 items in this shard:
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2025-12-04T10:00:03.1689436Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 10:00:03.168535][2860.640768285], took 0.06min
2025-12-04T10:00:03.1938215Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-740e5b0378e1031d.xml
2025-12-04T10:00:03.2219696Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 10:00:03.221783][2860.694016317]
2025-12-04T10:00:03.2220176Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:03.2223297Z 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 10:00:03.222112]
2025-12-04T10:00:06.8962071Z 
2025-12-04T10:00:06.8963301Z 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_9da9255e92e489e1_.log
2025-12-04T10:00:06.8964129Z Running 0 items in this shard:
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2025-12-04T10:00:06.9215028Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 10:00:06.896036][2864.368270561], took 0.06min
2025-12-04T10:00:06.9216101Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-27e452c0900b76af.xml
2025-12-04T10:00:06.9494315Z Running test_serialization 1/1 ... [2025-12-04 10:00:06.949245][2864.421478811]
2025-12-04T10:00:06.9494870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:06.9498071Z 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 10:00:06.949573]
2025-12-04T10:00:10.9583028Z 
2025-12-04T10:00:10.9583951Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_0bee1d76183eb939_.log
2025-12-04T10:00:10.9584742Z Running 0 items in this shard:
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2025-12-04T10:00:10.9585271Z Finished test_serialization 1/1 ... [2025-12-04 10:00:10.958136][2868.430369874], took 0.07min
2025-12-04T10:00:10.9837164Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-3bdfbf1474ee6216.xml
2025-12-04T10:00:11.0265674Z Running optim/test_optim 1/1 ... [2025-12-04 10:00:11.026359][2868.498592705]
2025-12-04T10:00:11.0266144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:11.0269264Z 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 10:00:11.026703]
2025-12-04T10:00:14.0302094Z 
2025-12-04T10:00:14.0302989Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_9dce3e46f5d62bf1_.log
2025-12-04T10:00:14.0303710Z 
2025-12-04T10:00:14.0304288Z Finished optim/test_optim 1/1 ... [2025-12-04 10:00:14.030021][2871.502255915], took 0.05min
2025-12-04T10:00:14.0561699Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:00:14.055953][2871.528187938]
2025-12-04T10:00:14.0562324Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:14.0565351Z 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 10:00:14.056312]
2025-12-04T10:00:17.2709285Z 
2025-12-04T10:00:17.2710322Z 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_c99b1ae744aee756_.log
2025-12-04T10:00:17.2711297Z Running 0 items in this shard:
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2025-12-04T10:00:17.2711879Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:00:17.270762][2874.742996659], took 0.05min
2025-12-04T10:00:17.2967452Z 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-15991ac7dbb9843e.xml
2025-12-04T10:00:17.3605370Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:00:17.360314][2874.832547269]
2025-12-04T10:00:17.3605949Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:17.3609013Z 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 10:00:17.360662]
2025-12-04T10:00:20.5865089Z 
2025-12-04T10:00:20.5866189Z 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_44283acbe752a274_.log
2025-12-04T10:00:20.5867168Z Running 0 items in this shard:
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2025-12-04T10:00:20.5867743Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:00:20.586327][2878.058560511], took 0.05min
2025-12-04T10:00:20.6122544Z 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_-2e58e99c8ac615d8.xml
2025-12-04T10:00:20.6362082Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:00:20.635957][2878.1081889]
2025-12-04T10:00:20.6362654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:20.6365782Z 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 10:00:20.636336]
2025-12-04T10:00:23.7789272Z 
2025-12-04T10:00:23.7790360Z 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_da7a6d9800d9cd1c_.log
2025-12-04T10:00:23.7791342Z Running 0 items in this shard:
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2025-12-04T10:00:23.7791928Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:00:23.778741][2881.250975101], took 0.05min
2025-12-04T10:00:23.8049690Z 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-bef5838d370ea31b.xml
2025-12-04T10:00:23.8341678Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:00:23.833889][2881.306120365]
2025-12-04T10:00:23.8342215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:23.8344937Z 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 10:00:23.834247]
2025-12-04T10:00:27.6817489Z 
2025-12-04T10:00:27.6818534Z 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_0d20407add2b2f58_.log
2025-12-04T10:00:27.6819453Z Running 0 items in this shard:
2025-12-04T10:00:27.6819650Z 
2025-12-04T10:00:27.6819984Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:00:27.681565][2885.153798841], took 0.06min
2025-12-04T10:00:27.7077187Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-10a2d28ee6d26ac6.xml
2025-12-04T10:00:27.7350547Z Running test_type_info 1/1 ... [2025-12-04 10:00:27.734864][2885.207097955]
2025-12-04T10:00:27.7351015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:27.7354346Z 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 10:00:27.735191]
2025-12-04T10:00:30.9207671Z 
2025-12-04T10:00:30.9208529Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_e069419d02a2b89f_.log
2025-12-04T10:00:30.9209272Z Running 0 items in this shard:
2025-12-04T10:00:30.9209465Z 
2025-12-04T10:00:30.9209732Z Finished test_type_info 1/1 ... [2025-12-04 10:00:30.920613][2888.392846996], took 0.05min
2025-12-04T10:00:30.9466555Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-aa363c787fad3672.xml
2025-12-04T10:00:30.9754348Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 10:00:30.975252][2888.447485396]
2025-12-04T10:00:30.9754877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:30.9758034Z 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 10:00:30.975583]
2025-12-04T10:00:37.2518727Z 
2025-12-04T10:00:37.2519815Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_88e2388d1c65c3ec_.log
2025-12-04T10:00:37.2520689Z Running 0 items in this shard:
2025-12-04T10:00:37.2520927Z 
2025-12-04T10:00:37.2521240Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 10:00:37.251685][2894.723919], took 0.10min
2025-12-04T10:00:37.2781083Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-053019315eeb05f3.xml
2025-12-04T10:00:37.3431263Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 10:00:37.342850][2894.8150823]
2025-12-04T10:00:37.3431769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:37.3434258Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scatter_gather_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 10:00:37.343188]
2025-12-04T10:00:40.8449672Z 
2025-12-04T10:00:40.8450812Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_c4db86635f00c4a5_.log
2025-12-04T10:00:40.8451639Z Running 0 items in this shard:
2025-12-04T10:00:40.8451831Z 
2025-12-04T10:00:40.8452134Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 10:00:40.844803][2898.317036024], took 0.06min
2025-12-04T10:00:40.8711152Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-4961e37bbe16415a.xml
2025-12-04T10:00:40.8981588Z Running test_unary_ufuncs 1/1 ... [2025-12-04 10:00:40.897897][2898.370129724]
2025-12-04T10:00:40.8982173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:40.8984777Z 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 10:00:40.898228]
2025-12-04T10:00:45.4344557Z 
2025-12-04T10:00:45.4345436Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_91ad45c1034c486f_.log
2025-12-04T10:00:45.4346205Z Running 0 items in this shard:
2025-12-04T10:00:45.4346397Z 
2025-12-04T10:00:45.4346676Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 10:00:45.434283][2902.906517739], took 0.08min
2025-12-04T10:00:45.4608808Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-963e930357308aec.xml
2025-12-04T10:00:45.4871146Z Running test_dlpack 1/1 ... [2025-12-04 10:00:45.486938][2902.959171295]
2025-12-04T10:00:45.4871614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:45.4874803Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:45.487266]
2025-12-04T10:00:49.0510704Z 
2025-12-04T10:00:49.0511527Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_ef1a4e0c815dee86_.log
2025-12-04T10:00:49.0512248Z Running 0 items in this shard:
2025-12-04T10:00:49.0512443Z 
2025-12-04T10:00:49.0512697Z Finished test_dlpack 1/1 ... [2025-12-04 10:00:49.050916][2906.523150171], took 0.06min
2025-12-04T10:00:49.0775095Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-8edec42269bf305c.xml
2025-12-04T10:00:50.7809113Z W1204 10:00:50.780000 14761 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:00:50.8051179Z W1204 10:00:50.804000 14760 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:00:50.8052608Z W1204 10:00:50.804000 14759 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:00:52.1122762Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 10:00:52.111934][2909.584166291]
2025-12-04T10:00:52.1123318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:52.1126294Z 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 10:00:52.112360]
2025-12-04T10:00:52.1345647Z Running inductor/test_torchinductor_opinfo 1/1 ... [2025-12-04 10:00:52.134263][2909.606496659]
2025-12-04T10:00:52.1346271Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:52.1346805Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:00:52.134341][2909.606573508]
2025-12-04T10:00:52.1347624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:00:52.1349405Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_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 10:00:52.134674]
2025-12-04T10:00:52.1352023Z 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 10:00:52.134725]
2025-12-04T10:01:00.4390474Z 
2025-12-04T10:01:00.4391429Z 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_3f352298625d55b1_.log
2025-12-04T10:01:00.4392278Z 
2025-12-04T10:01:00.4392639Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:01:00.438942][2917.911176144], took 0.14min
2025-12-04T10:01:02.8890353Z 
2025-12-04T10:01:02.8891546Z inductor/test_torchinductor_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.1_a535a6a1c9af79e6_.log
2025-12-04T10:01:02.8892481Z Running 0 items in this shard:
2025-12-04T10:01:02.8892683Z 
2025-12-04T10:01:02.8893040Z Finished inductor/test_torchinductor_opinfo 1/1 ... [2025-12-04 10:01:02.888983][2920.36121585], took 0.18min
2025-12-04T10:01:02.8950954Z W1204 10:01:02.894000 15139 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:02.9006583Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-1677743d76cb05d3.xml
2025-12-04T10:01:04.0709806Z 
2025-12-04T10:01:04.0710849Z 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_83135d323be56442_.log
2025-12-04T10:01:04.0711699Z 
2025-12-04T10:01:04.0712040Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 10:01:04.071004][2921.543234653], took 0.20min
2025-12-04T10:01:04.2610718Z Running inductor/test_compile_subprocess 1/1 ... [2025-12-04 10:01:04.260696][2921.732928415]
2025-12-04T10:01:04.2611316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:04.2614281Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.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 10:01:04.261148]
2025-12-04T10:01:05.3068446Z W1204 10:01:05.306000 15172 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:06.5374527Z W1204 10:01:06.536000 15189 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:06.6568424Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 10:01:06.656444][2924.128676165]
2025-12-04T10:01:06.6568956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:06.6571512Z 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 10:01:06.656866]
2025-12-04T10:01:07.8801172Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 10:01:07.879740][2925.351972692]
2025-12-04T10:01:07.8801715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:07.8804508Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.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 10:01:07.880160]
2025-12-04T10:01:12.7839826Z 
2025-12-04T10:01:12.7840878Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_17ab92e7bf1405ab_.log
2025-12-04T10:01:12.7841688Z 
2025-12-04T10:01:12.7842139Z Finished inductor/test_compile_subprocess 1/1 ... [2025-12-04 10:01:12.783903][2930.256137095], took 0.14min
2025-12-04T10:01:15.0240858Z 
2025-12-04T10:01:15.0242877Z 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_7ab0ed9734bda814_.log
2025-12-04T10:01:15.0244672Z 
2025-12-04T10:01:15.0245472Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 10:01:15.023935][2932.496164983], took 0.14min
2025-12-04T10:01:15.2451528Z W1204 10:01:15.244000 15532 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:16.6317800Z Running inductor/test_unbacked_symints 1/1 ... [2025-12-04 10:01:16.631391][2934.103622718]
2025-12-04T10:01:16.6318604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:16.6321196Z 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 10:01:16.631820]
2025-12-04T10:01:17.3700353Z 
2025-12-04T10:01:17.3701581Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_828c1739c8b149b0_.log
2025-12-04T10:01:17.3702336Z 
2025-12-04T10:01:17.3702691Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 10:01:17.369950][2934.842182343], took 0.16min
2025-12-04T10:01:17.5269541Z W1204 10:01:17.526000 15565 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:18.8759532Z Running inductor/test_padding 1/1 ... [2025-12-04 10:01:18.875595][2936.347827984]
2025-12-04T10:01:18.8760075Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:18.8762832Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_padding.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 10:01:18.876001]
2025-12-04T10:01:19.7389878Z W1204 10:01:19.738000 15598 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:21.0672390Z Running test_varlen_attention 1/1 ... [2025-12-04 10:01:21.066918][2938.539150842]
2025-12-04T10:01:21.0672928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:21.0675504Z 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 10:01:21.067329]
2025-12-04T10:01:24.9166376Z 
2025-12-04T10:01:24.9167397Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_c55b13784245150b_.log
2025-12-04T10:01:24.9168212Z Running 0 items in this shard:
2025-12-04T10:01:24.9168405Z 
2025-12-04T10:01:24.9168701Z Finished test_varlen_attention 1/1 ... [2025-12-04 10:01:24.916580][2942.388812236], took 0.06min
2025-12-04T10:01:24.9289247Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-68cdf63fc4acba95.xml
2025-12-04T10:01:25.0047782Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-28e03e58a5d4c2af.xml
2025-12-04T10:01:25.1559161Z 
2025-12-04T10:01:25.1560303Z 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_0f14016798d235c6_.log
2025-12-04T10:01:25.1561306Z Running 0 items in this shard:
2025-12-04T10:01:25.1561499Z 
2025-12-04T10:01:25.1561953Z Finished inductor/test_unbacked_symints 1/1 ... [2025-12-04 10:01:25.155868][2942.628098677], took 0.14min
2025-12-04T10:01:27.2074453Z 
2025-12-04T10:01:27.2075899Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_f018df728b47d337_.log
2025-12-04T10:01:27.2076980Z 
2025-12-04T10:01:27.2077434Z Finished inductor/test_padding 1/1 ... [2025-12-04 10:01:27.207351][2944.679583507], took 0.14min
2025-12-04T10:01:27.4409320Z W1204 10:01:27.440000 15834 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:27.6722989Z W1204 10:01:27.671000 15835 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:28.8159509Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 10:01:28.815517][2946.287749245]
2025-12-04T10:01:28.8160949Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:28.8163709Z 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 10:01:28.815943]
2025-12-04T10:01:29.0226748Z Running test_decomp 1/1 ... [2025-12-04 10:01:29.022359][2946.49459191]
2025-12-04T10:01:29.0227234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:29.0230591Z 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 10:01:29.022801]
2025-12-04T10:01:29.6639706Z W1204 10:01:29.663000 15868 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:30.9799095Z Running test_ops_fwd_gradients 1/1 ... [2025-12-04 10:01:30.979575][2948.451808034]
2025-12-04T10:01:30.9799627Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:30.9802811Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.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 10:01:30.980029]
2025-12-04T10:01:34.2613705Z 
2025-12-04T10:01:34.2614758Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_e6d968c070cb4da6_.log
2025-12-04T10:01:34.2615583Z Running 0 items in this shard:
2025-12-04T10:01:34.2615794Z 
2025-12-04T10:01:34.2616035Z Finished test_decomp 1/1 ... [2025-12-04 10:01:34.261384][2951.733614487], took 0.09min
2025-12-04T10:01:34.2739686Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-57b78709a1e7f72c.xml
2025-12-04T10:01:35.9551873Z 
2025-12-04T10:01:35.9553101Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_0fad210f5b85ac47_.log
2025-12-04T10:01:35.9553954Z Running 0 items in this shard:
2025-12-04T10:01:35.9554147Z 
2025-12-04T10:01:35.9554449Z Finished test_ops_fwd_gradients 1/1 ... [2025-12-04 10:01:35.955135][2953.427368819], took 0.08min
2025-12-04T10:01:35.9769683Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-1f4c383641c9955c.xml
2025-12-04T10:01:36.8162561Z W1204 10:01:36.815000 16043 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:37.6602183Z 
2025-12-04T10:01:37.6603691Z 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_bd0b3ec024814fa0_.log
2025-12-04T10:01:37.6647812Z 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
2025-12-04T10:01:37.6685058Z 
2025-12-04T10:01:37.6685601Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 10:01:37.660270][2955.13250111], took 0.15min
2025-12-04T10:01:37.6728753Z 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-78356700fb8a75cd.xml
2025-12-04T10:01:38.2008555Z Running test_meta 1/1 ... [2025-12-04 10:01:38.200480][2955.67271145]
2025-12-04T10:01:38.2009029Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:38.2011537Z 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 10:01:38.200906]
2025-12-04T10:01:38.4381690Z W1204 10:01:38.437000 16074 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:39.8697678Z Running test_nestedtensor 1/1 ... [2025-12-04 10:01:39.869357][2957.341585685]
2025-12-04T10:01:39.8698247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:39.8701040Z 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 10:01:39.869827]
2025-12-04T10:01:40.2081142Z W1204 10:01:40.207000 16092 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:41.5721931Z Running test_linalg 1/1 ... [2025-12-04 10:01:41.571822][2959.044055302]
2025-12-04T10:01:41.5722422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:41.5725566Z 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 10:01:41.572256]
2025-12-04T10:01:43.2425649Z 
2025-12-04T10:01:43.2426537Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_e52ee50901ab5a74_.log
2025-12-04T10:01:43.2427226Z Running 0 items in this shard:
2025-12-04T10:01:43.2427459Z 
2025-12-04T10:01:43.2427682Z Finished test_meta 1/1 ... [2025-12-04 10:01:43.242456][2960.7146897], took 0.08min
2025-12-04T10:01:43.2627847Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-ca37fa022f3c7570.xml
2025-12-04T10:01:45.2017637Z 
2025-12-04T10:01:45.2018802Z test_nestedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.1_a8aacc80328effc3_.log
2025-12-04T10:01:45.2019577Z Running 0 items in this shard:
2025-12-04T10:01:45.2019784Z 
2025-12-04T10:01:45.2020093Z Finished test_nestedtensor 1/1 ... [2025-12-04 10:01:45.201666][2962.673899073], took 0.09min
2025-12-04T10:01:45.2149920Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-e3003eb3f603dfc0.xml
2025-12-04T10:01:45.2406137Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-517cdd70bac2ec42.xml
2025-12-04T10:01:45.6926010Z W1204 10:01:45.691000 16189 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:45.9097544Z 
2025-12-04T10:01:45.9098231Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_c1cbdbedc5a68939_.log
2025-12-04T10:01:45.9099202Z Running 0 items in this shard:
2025-12-04T10:01:45.9099442Z 
2025-12-04T10:01:45.9099681Z Finished test_linalg 1/1 ... [2025-12-04 10:01:45.909731][2963.381960284], took 0.07min
2025-12-04T10:01:47.0747671Z Running test_public_bindings 1/1 ... [2025-12-04 10:01:47.074395][2964.546627879]
2025-12-04T10:01:47.0748199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:47.0751202Z 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 10:01:47.074843]
2025-12-04T10:01:47.7395496Z W1204 10:01:47.738000 16207 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:48.4143765Z W1204 10:01:48.413000 16223 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:49.0624125Z Running test_ops 1/1 ... [2025-12-04 10:01:49.062094][2966.534326597]
2025-12-04T10:01:49.0624596Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:49.0627818Z 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 10:01:49.062532]
2025-12-04T10:01:49.7678123Z Running functorch/test_dims 1/1 ... [2025-12-04 10:01:49.767443][2967.239675643]
2025-12-04T10:01:49.7678646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:49.7681296Z 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 10:01:49.767857]
2025-12-04T10:01:50.5531204Z 
2025-12-04T10:01:50.5532171Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_a70ba694cfef26ce_.log
2025-12-04T10:01:50.5533058Z Running 0 items in this shard:
2025-12-04T10:01:50.5533253Z 
2025-12-04T10:01:50.5533609Z Finished test_public_bindings 1/1 ... [2025-12-04 10:01:50.553049][2968.025278475], took 0.06min
2025-12-04T10:01:50.5667260Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_public_bindings/test_public_bindings-c661def42f5b47c5.xml
2025-12-04T10:01:53.0622596Z W1204 10:01:53.061000 16290 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:53.6877921Z 
2025-12-04T10:01:53.6879441Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_14cfe0711bbcf72e_.log
2025-12-04T10:01:53.6891247Z 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
2025-12-04T10:01:53.6902693Z 
2025-12-04T10:01:53.6902987Z Finished functorch/test_dims 1/1 ... [2025-12-04 10:01:53.687739][2971.159973276], took 0.07min
2025-12-04T10:01:53.7018466Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-30946eeb98db0b1b.xml
2025-12-04T10:01:54.4373914Z Running test_sparse_csr 1/1 ... [2025-12-04 10:01:54.436814][2971.909039065]
2025-12-04T10:01:54.4375044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:54.4381630Z 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 10:01:54.437618]
2025-12-04T10:01:56.1657440Z W1204 10:01:56.165000 16400 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:01:57.5620104Z Running functorch/test_vmap 1/1 ... [2025-12-04 10:01:57.561387][2975.033613777]
2025-12-04T10:01:57.5621281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:01:57.5627213Z 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 10:01:57.562235]
2025-12-04T10:01:58.8033740Z 
2025-12-04T10:01:58.8034506Z test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.1_4ce438d7174baeb5_.log
2025-12-04T10:01:58.8035203Z Running 0 items in this shard:
2025-12-04T10:01:58.8035398Z 
2025-12-04T10:01:58.8035628Z Finished test_ops 1/1 ... [2025-12-04 10:01:58.803313][2976.275544759], took 0.16min
2025-12-04T10:01:58.8170046Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-50b67c4780538dcd.xml
2025-12-04T10:01:58.8493091Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-997dd3039b2c2169.xml
2025-12-04T10:01:59.4216530Z 
2025-12-04T10:01:59.4217429Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_7dbe9c805fb63003_.log
2025-12-04T10:01:59.4218190Z Running 0 items in this shard:
2025-12-04T10:01:59.4218416Z 
2025-12-04T10:01:59.4218686Z Finished test_sparse_csr 1/1 ... [2025-12-04 10:01:59.421567][2976.893796353], took 0.08min
2025-12-04T10:02:01.3957145Z W1204 10:02:01.394000 16481 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:01.9401729Z W1204 10:02:01.939000 16497 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:02.7201972Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 10:02:02.719879][2980.192111047]
2025-12-04T10:02:02.7202512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:02.7205686Z 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 10:02:02.720311]
2025-12-04T10:02:03.2575895Z 
2025-12-04T10:02:03.2576953Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_4738385f0368b8c6_.log
2025-12-04T10:02:03.2577970Z Running 0 items in this shard:
2025-12-04T10:02:03.2578166Z 
2025-12-04T10:02:03.2578449Z Finished functorch/test_vmap 1/1 ... [2025-12-04 10:02:03.257552][2980.729782762], took 0.09min
2025-12-04T10:02:03.2632866Z Running inductor/test_select_algorithm 1/1 ... [2025-12-04 10:02:03.262943][2980.735169818]
2025-12-04T10:02:03.2634125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:03.2642641Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_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 10:02:03.263768]
2025-12-04T10:02:03.2848005Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-c3debe62795cadd0.xml
2025-12-04T10:02:05.7125737Z W1204 10:02:05.711000 16563 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:06.1636273Z 
2025-12-04T10:02:06.1637623Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_5950ff1e8d056fd7_.log
2025-12-04T10:02:06.1638966Z Running 0 items in this shard:
2025-12-04T10:02:06.1639202Z 
2025-12-04T10:02:06.1639543Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 10:02:06.163567][2983.63579814], took 0.06min
2025-12-04T10:02:06.1786742Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-d90fa5e28bdd9484.xml
2025-12-04T10:02:07.0329520Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 10:02:07.032521][2984.504753742]
2025-12-04T10:02:07.0330474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:07.0333331Z 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 10:02:07.032971]
2025-12-04T10:02:08.5484331Z W1204 10:02:08.547000 16582 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:09.8957974Z Running dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 10:02:09.895376][2987.367604982]
2025-12-04T10:02:09.8958962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:09.8961607Z 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 10:02:09.895812]
2025-12-04T10:02:11.4707642Z 
2025-12-04T10:02:11.4709761Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_1013fc471182f8c9_.log
2025-12-04T10:02:11.4711586Z 
2025-12-04T10:02:11.4712691Z Finished inductor/test_select_algorithm 1/1 ... [2025-12-04 10:02:11.470848][2988.943075021], took 0.14min
2025-12-04T10:02:13.8597654Z W1204 10:02:13.859000 16800 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:15.2094611Z Running inductor/test_cpu_repro 5/5 ... [2025-12-04 10:02:15.209107][2992.681337585]
2025-12-04T10:02:15.2095158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:15.2098286Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:15.209549]
2025-12-04T10:02:15.3627018Z 
2025-12-04T10:02:15.3628081Z 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_9a52f37c53a51a6b_.log
2025-12-04T10:02:15.3629119Z Running 0 items in this shard:
2025-12-04T10:02:15.3629369Z 
2025-12-04T10:02:15.3629713Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 10:02:15.362764][2992.834994393], took 0.14min
2025-12-04T10:02:15.3775723Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-38bb1c8e0cd3a0bc.xml
2025-12-04T10:02:17.8403458Z W1204 10:02:17.839000 16942 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:19.1219538Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 10:02:19.121595][2996.593827542]
2025-12-04T10:02:19.1220110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:19.1222808Z 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 10:02:19.122019]
2025-12-04T10:02:23.2482655Z 
2025-12-04T10:02:23.2484210Z 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_677cef8393bd73e2_.log
2025-12-04T10:02:23.2485756Z Running 0 items in this shard:
2025-12-04T10:02:23.2486118Z 
2025-12-04T10:02:23.2486713Z Finished dynamo/test_dynamic_shapes 1/2 ... [2025-12-04 10:02:23.248168][3000.720401325], took 0.22min
2025-12-04T10:02:23.2722776Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-e4973e908f8157e9.xml
2025-12-04T10:02:25.1994318Z 
2025-12-04T10:02:25.1995793Z inductor/test_cpu_repro 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_5.5_44ab3e6701f043d0_.log
2025-12-04T10:02:25.1997289Z Running 0 items in this shard:
2025-12-04T10:02:25.1997625Z 
2025-12-04T10:02:25.1998168Z Finished inductor/test_cpu_repro 5/5 ... [2025-12-04 10:02:25.199359][3002.671592222], took 0.17min
2025-12-04T10:02:25.2236306Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-fa1fc8bb87862710.xml
2025-12-04T10:02:25.7841287Z W1204 10:02:25.783000 17160 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:27.1753388Z Running inductor/test_perf 1/1 ... [2025-12-04 10:02:27.174984][3004.647216629]
2025-12-04T10:02:27.1753986Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:27.1756731Z 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 10:02:27.175416]
2025-12-04T10:02:27.6087341Z 
2025-12-04T10:02:27.6088416Z 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_bebf6d71c051be9e_.log
2025-12-04T10:02:27.6089545Z Running 0 items in this shard:
2025-12-04T10:02:27.6089740Z 
2025-12-04T10:02:27.6090082Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 10:02:27.608783][3005.081013057], took 0.14min
2025-12-04T10:02:27.6242886Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-6eac495e305b75a6.xml
2025-12-04T10:02:27.7911401Z W1204 10:02:27.790000 17193 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:29.1654790Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 10:02:29.165069][3006.637301564]
2025-12-04T10:02:29.1655389Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:29.1657550Z 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 10:02:29.165481]
2025-12-04T10:02:30.0709292Z W1204 10:02:30.070000 17226 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:31.3759391Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 10:02:31.375583][3008.847816236]
2025-12-04T10:02:31.3759956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:31.3762600Z 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 10:02:31.375981]
2025-12-04T10:02:35.4495908Z 
2025-12-04T10:02:35.4496804Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_2078b2af4fd169bd_.log
2025-12-04T10:02:35.4497484Z 
2025-12-04T10:02:35.4497782Z Finished inductor/test_perf 1/1 ... [2025-12-04 10:02:35.449521][3012.921754126], took 0.14min
2025-12-04T10:02:37.5816003Z 
2025-12-04T10:02:37.5817144Z 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_0dd6ff4ebc7f22f6_.log
2025-12-04T10:02:37.5818045Z Running 0 items in this shard:
2025-12-04T10:02:37.5818238Z 
2025-12-04T10:02:37.5818568Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 10:02:37.581526][3015.053759324], took 0.14min
2025-12-04T10:02:37.5972501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-693cce1bc5e783b2.xml
2025-12-04T10:02:37.8869675Z W1204 10:02:37.886000 17538 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:39.2657215Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:02:39.265366][3016.7375992]
2025-12-04T10:02:39.2657798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:39.2660502Z 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 10:02:39.265776]
2025-12-04T10:02:40.0354669Z W1204 10:02:40.034000 17571 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:40.0778465Z 
2025-12-04T10:02:40.0779401Z 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_4841fa579b6d1448_.log
2025-12-04T10:02:40.0780825Z Running 0 items in this shard:
2025-12-04T10:02:40.0781197Z 
2025-12-04T10:02:40.0781686Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 10:02:40.077906][3017.550137004], took 0.15min
2025-12-04T10:02:40.0938313Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-baccb068666541a9.xml
2025-12-04T10:02:41.3940557Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 10:02:41.393678][3018.865906824]
2025-12-04T10:02:41.3941162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:41.3944166Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_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 10:02:41.394118]
2025-12-04T10:02:42.4918032Z W1204 10:02:42.491000 17604 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:43.7771113Z Running inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 10:02:43.776726][3021.248958453]
2025-12-04T10:02:43.7771767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:43.7774411Z 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 10:02:43.777123]
2025-12-04T10:02:50.4392883Z 
2025-12-04T10:02:50.4394645Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_b090b162ff570829_.log
2025-12-04T10:02:50.4397848Z Running 0 items in this shard:
2025-12-04T10:02:50.4398278Z 
2025-12-04T10:02:50.4399091Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 10:02:50.439391][3027.911540183], took 0.15min
2025-12-04T10:02:50.4835312Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-d43bed5f21790475.xml
2025-12-04T10:02:53.0495183Z W1204 10:02:53.048000 17940 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:53.5742736Z 
2025-12-04T10:02:53.5743942Z 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_f4cceab963aec3e3_.log
2025-12-04T10:02:53.5744956Z Running 0 items in this shard:
2025-12-04T10:02:53.5745150Z 
2025-12-04T10:02:53.5745523Z Finished inductor/test_aot_inductor_arrayref 2/2 ... [2025-12-04 10:02:53.574242][3031.046475091], took 0.16min
2025-12-04T10:02:53.6003620Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-a2eb840ac9a1448b.xml
2025-12-04T10:02:54.4221404Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 10:02:54.421785][3031.894017924]
2025-12-04T10:02:54.4222075Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:54.4224664Z 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 10:02:54.422190]
2025-12-04T10:02:56.1073722Z W1204 10:02:56.106000 18000 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:02:57.5001930Z Running inductor/test_multi_kernel 1/1 ... [2025-12-04 10:02:57.499815][3034.972047592]
2025-12-04T10:02:57.5002489Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:02:57.5005158Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_multi_kernel.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 10:02:57.500235]
2025-12-04T10:03:03.2183702Z 
2025-12-04T10:03:03.2184951Z 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_76d9984d04ed8f2b_.log
2025-12-04T10:03:03.2185969Z 
2025-12-04T10:03:03.2186425Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 10:03:03.218349][3040.690580037], took 0.15min
2025-12-04T10:03:05.8227436Z W1204 10:03:05.822000 18527 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:06.2012928Z 
2025-12-04T10:03:06.2013988Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_113061fc4055acc4_.log
2025-12-04T10:03:06.2014756Z 
2025-12-04T10:03:06.2015354Z Finished inductor/test_multi_kernel 1/1 ... [2025-12-04 10:03:06.201214][3043.673447745], took 0.15min
2025-12-04T10:03:07.2424761Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 10:03:07.242006][3044.714237441]
2025-12-04T10:03:07.2425771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:07.2428524Z 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 10:03:07.242476]
2025-12-04T10:03:08.8444128Z W1204 10:03:08.843000 18682 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:10.2304117Z Running inductor/test_triton_heuristics 1/1 ... [2025-12-04 10:03:10.230025][3047.702254916]
2025-12-04T10:03:10.2304731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:10.2307748Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_heuristics.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 10:03:10.230502]
2025-12-04T10:03:15.8052040Z 
2025-12-04T10:03:15.8053516Z 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_88773ad49f16f6c3_.log
2025-12-04T10:03:15.8054964Z Running 0 items in this shard:
2025-12-04T10:03:15.8055288Z 
2025-12-04T10:03:15.8055707Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 10:03:15.805138][3053.277370024], took 0.14min
2025-12-04T10:03:15.8222391Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-f5a0810c7652b268.xml
2025-12-04T10:03:18.2399343Z W1204 10:03:18.239000 19211 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:18.4926473Z 
2025-12-04T10:03:18.4928123Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_08368c3d837df34d_.log
2025-12-04T10:03:18.4929583Z 
2025-12-04T10:03:18.4930136Z Finished inductor/test_triton_heuristics 1/1 ... [2025-12-04 10:03:18.492577][3055.964810442], took 0.14min
2025-12-04T10:03:19.6176640Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 10:03:19.617225][3057.08945714]
2025-12-04T10:03:19.6177851Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:19.6180500Z 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 10:03:19.617700]
2025-12-04T10:03:21.1724177Z W1204 10:03:21.171000 19324 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:22.5864384Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 10:03:22.586048][3060.058279884]
2025-12-04T10:03:22.5864951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:22.5867934Z 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 10:03:22.586528]
2025-12-04T10:03:26.2958659Z 
2025-12-04T10:03:26.2959922Z 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_6cf4bbec836e17fd_.log
2025-12-04T10:03:26.2960843Z Running 0 items in this shard:
2025-12-04T10:03:26.2961033Z 
2025-12-04T10:03:26.2961363Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 10:03:26.295652][3063.767883663], took 0.06min
2025-12-04T10:03:26.3133743Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_deque_reconstruct/dynamo.test_deque_reconstruct-294a5e2664f54996.xml
2025-12-04T10:03:28.9070840Z W1204 10:03:28.906000 19755 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:29.0015142Z 
2025-12-04T10:03:29.0016545Z 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_7fdd49d9a16096dd_.log
2025-12-04T10:03:29.0017812Z 
2025-12-04T10:03:29.0018512Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 10:03:29.001423][3066.473654922], took 0.16min
2025-12-04T10:03:30.3260981Z Running inductor/test_utils 1/1 ... [2025-12-04 10:03:30.325680][3067.797911667]
2025-12-04T10:03:30.3261507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:30.3264212Z 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 10:03:30.326151]
2025-12-04T10:03:31.7366918Z W1204 10:03:31.735000 19820 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:33.1334964Z Running inductor/test_indexing 1/1 ... [2025-12-04 10:03:33.133063][3070.605295079]
2025-12-04T10:03:33.1335513Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:33.1338141Z 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 10:03:33.133519]
2025-12-04T10:03:34.4242674Z 
2025-12-04T10:03:34.4243992Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_b2ee955465ad45f6_.log
2025-12-04T10:03:34.4245188Z Running 0 items in this shard:
2025-12-04T10:03:34.4245525Z 
2025-12-04T10:03:34.4246043Z Finished inductor/test_utils 1/1 ... [2025-12-04 10:03:34.424131][3071.896363067], took 0.07min
2025-12-04T10:03:34.4552752Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_utils/inductor.test_utils-f077c18b3657fc29.xml
2025-12-04T10:03:36.9963080Z W1204 10:03:36.995000 20098 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:38.4392988Z Running inductor/test_inductor_annotations 1/1 ... [2025-12-04 10:03:38.438863][3075.911093927]
2025-12-04T10:03:38.4393592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:38.4396032Z 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 10:03:38.439316]
2025-12-04T10:03:42.2241356Z 
2025-12-04T10:03:42.2243025Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_4cc81df6dcf431a6_.log
2025-12-04T10:03:42.2243875Z Running 0 items in this shard:
2025-12-04T10:03:42.2244069Z 
2025-12-04T10:03:42.2244677Z Finished inductor/test_indexing 1/1 ... [2025-12-04 10:03:42.224076][3079.696307489], took 0.15min
2025-12-04T10:03:42.2422698Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_indexing/inductor.test_indexing-b6f780500f230a8d.xml
2025-12-04T10:03:44.8655390Z W1204 10:03:44.864000 20505 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:46.3162575Z Running inductor/test_compile_worker 1/1 ... [2025-12-04 10:03:46.315851][3083.788083432]
2025-12-04T10:03:46.3163147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:46.3166398Z 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 10:03:46.316348]
2025-12-04T10:03:47.5305024Z 
2025-12-04T10:03:47.5306690Z 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_67961514fc1086c7_.log
2025-12-04T10:03:47.5307671Z Running 0 items in this shard:
2025-12-04T10:03:47.5307869Z 
2025-12-04T10:03:47.5308244Z Finished inductor/test_inductor_annotations 1/1 ... [2025-12-04 10:03:47.530390][3085.002619724], took 0.15min
2025-12-04T10:03:47.5635432Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_annotations/inductor.test_inductor_annotations-5025dccd1a6abc4d.xml
2025-12-04T10:03:50.1460341Z W1204 10:03:50.145000 20698 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:51.5904820Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:03:51.590054][3089.062285947]
2025-12-04T10:03:51.5905744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:51.5908485Z 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 10:03:51.590507]
2025-12-04T10:03:55.3249532Z 
2025-12-04T10:03:55.3250608Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_cc05e231502f2958_.log
2025-12-04T10:03:55.3251501Z Running 0 items in this shard:
2025-12-04T10:03:55.3251734Z 
2025-12-04T10:03:55.3252043Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:03:55.324972][3092.79720153], took 0.06min
2025-12-04T10:03:55.3435995Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_worker/inductor.test_compile_worker-03f4cb52d52f0aaa.xml
2025-12-04T10:03:55.4175696Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_einops/dynamo.test_einops-99fd743fde0d5cae.xml
2025-12-04T10:03:55.4333233Z 
2025-12-04T10:03:55.4334434Z 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_5330e0f7f2681c2e_.log
2025-12-04T10:03:55.4335353Z Running 0 items in this shard:
2025-12-04T10:03:55.4335557Z 
2025-12-04T10:03:55.4335884Z Finished inductor/test_compile_worker 1/1 ... [2025-12-04 10:03:55.433236][3092.905464066], took 0.15min
2025-12-04T10:03:57.9806591Z W1204 10:03:57.980000 21113 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:58.0730331Z W1204 10:03:58.072000 21114 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:03:59.3042842Z Running inductor/test_external_callables 1/1 ... [2025-12-04 10:03:59.303917][3096.776149737]
2025-12-04T10:03:59.3043679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:59.3046124Z 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 10:03:59.304351]
2025-12-04T10:03:59.4047929Z Running test_testing 1/1 ... [2025-12-04 10:03:59.404464][3096.876696326]
2025-12-04T10:03:59.4048415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:03:59.4051409Z 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 10:03:59.404901]
2025-12-04T10:04:03.0344537Z 
2025-12-04T10:04:03.0346188Z 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_8fd733d074da5de2_.log
2025-12-04T10:04:03.0347732Z Running 0 items in this shard:
2025-12-04T10:04:03.0348050Z 
2025-12-04T10:04:03.0348627Z Finished inductor/test_external_callables 1/1 ... [2025-12-04 10:04:03.034385][3100.506617858], took 0.06min
2025-12-04T10:04:03.0529016Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_external_callables/inductor.test_external_callables-56fea0818281438b.xml
2025-12-04T10:04:04.4915950Z 
2025-12-04T10:04:04.4917256Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_4a0474a1b9896944_.log
2025-12-04T10:04:04.4931460Z 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
2025-12-04T10:04:04.4945075Z 
2025-12-04T10:04:04.4945340Z Finished test_testing 1/1 ... [2025-12-04 10:04:04.491600][3101.963830834], took 0.08min
2025-12-04T10:04:04.5101999Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_testing/test_testing-d1450f365719bde8.xml
2025-12-04T10:04:05.4483634Z W1204 10:04:05.447000 21478 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:06.8350318Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:04:06.834680][3104.306913491]
2025-12-04T10:04:06.8350895Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:06.8353544Z 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 10:04:06.835091]
2025-12-04T10:04:06.8507911Z W1204 10:04:06.850000 21500 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:08.1833367Z Running export/test_strict_export_v2 1/1 ... [2025-12-04 10:04:08.182963][3105.65519566]
2025-12-04T10:04:08.1833911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:08.1836213Z 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 10:04:08.183364]
2025-12-04T10:04:10.1025114Z 
2025-12-04T10:04:10.1026687Z 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_c9e0f2ae23a292e1_.log
2025-12-04T10:04:10.1028327Z Running 0 items in this shard:
2025-12-04T10:04:10.1028705Z 
2025-12-04T10:04:10.1029343Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:04:10.102522][3107.574751932], took 0.05min
2025-12-04T10:04:10.1215725Z 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-abe7dc7a05189483.xml
2025-12-04T10:04:12.6010599Z W1204 10:04:12.600000 21792 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:13.8845345Z Running inductor/test_segmented_tree 1/1 ... [2025-12-04 10:04:13.884129][3111.356361476]
2025-12-04T10:04:13.8845919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:13.8848721Z 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 10:04:13.884565]
2025-12-04T10:04:17.2324962Z 
2025-12-04T10:04:17.2326318Z 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_49f47f9b5563a93b_.log
2025-12-04T10:04:17.2327241Z Running 0 items in this shard:
2025-12-04T10:04:17.2327433Z 
2025-12-04T10:04:17.2327767Z Finished inductor/test_segmented_tree 1/1 ... [2025-12-04 10:04:17.232454][3114.704686596], took 0.06min
2025-12-04T10:04:17.2622693Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_strict_export_v2/export.test_strict_export_v2-3fccd3456ecf3ead.xml
2025-12-04T10:04:17.2979160Z 
2025-12-04T10:04:17.2980498Z 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_4768e730f850d288_.log
2025-12-04T10:04:17.2981807Z Running 0 items in this shard:
2025-12-04T10:04:17.2982100Z 
2025-12-04T10:04:17.2982605Z Finished export/test_strict_export_v2 1/1 ... [2025-12-04 10:04:17.297894][3114.770126796], took 0.15min
2025-12-04T10:04:17.3440103Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_segmented_tree/inductor.test_segmented_tree-a3944dace421420a.xml
2025-12-04T10:04:19.6573163Z W1204 10:04:19.656000 22194 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:19.6793124Z W1204 10:04:19.678000 22195 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:20.9637336Z Running inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:04:20.963298][3118.435531408]
2025-12-04T10:04:20.9638789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:20.9641256Z 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 10:04:20.963696]
2025-12-04T10:04:20.9827209Z Running inductor/test_metrics 1/1 ... [2025-12-04 10:04:20.980302][3118.452534571]
2025-12-04T10:04:20.9828145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:20.9830400Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.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 10:04:20.980703]
2025-12-04T10:04:28.9682927Z 
2025-12-04T10:04:28.9684409Z 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_a2847c96efaf45e3_.log
2025-12-04T10:04:28.9685641Z Running 0 items in this shard:
2025-12-04T10:04:28.9685856Z 
2025-12-04T10:04:28.9686303Z Finished inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:04:28.968194][3126.440420354], took 0.13min
2025-12-04T10:04:29.0029164Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_kernel_optimization/inductor.test_kernel_optimization-bbd06eaa5173976c.xml
2025-12-04T10:04:30.6734723Z 
2025-12-04T10:04:30.6735683Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_b71a6796348dfd02_.log
2025-12-04T10:04:30.6736411Z 
2025-12-04T10:04:30.6736705Z Finished inductor/test_metrics 1/1 ... [2025-12-04 10:04:30.673385][3128.145616489], took 0.16min
2025-12-04T10:04:31.3297822Z W1204 10:04:31.329000 22794 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:32.6532280Z Running export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:04:32.652852][3130.125084621]
2025-12-04T10:04:32.6533160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:32.6535300Z 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 10:04:32.653256]
2025-12-04T10:04:32.9585950Z W1204 10:04:32.957000 22906 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:34.2840505Z Running inductor/test_fx_fusion 1/1 ... [2025-12-04 10:04:34.283664][3131.755896629]
2025-12-04T10:04:34.2841094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:34.2843987Z 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 10:04:34.284080]
2025-12-04T10:04:35.9717396Z 
2025-12-04T10:04:35.9718573Z 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_1fe435f0f301f05e_.log
2025-12-04T10:04:35.9719558Z Running 0 items in this shard:
2025-12-04T10:04:35.9719750Z 
2025-12-04T10:04:35.9720160Z Finished export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:04:35.971680][3133.443912292], took 0.06min
2025-12-04T10:04:35.9909772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten_training_ir/export.test_unflatten_training_ir-b32c32e4e278e3d3.xml
2025-12-04T10:04:38.3025066Z W1204 10:04:38.301000 23143 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:38.4683447Z 
2025-12-04T10:04:38.4685855Z 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_72ea5c30d957b85b_.log
2025-12-04T10:04:38.4687092Z Running 0 items in this shard:
2025-12-04T10:04:38.4687292Z 
2025-12-04T10:04:38.4687675Z Finished inductor/test_fx_fusion 1/1 ... [2025-12-04 10:04:38.468374][3135.940604475], took 0.07min
2025-12-04T10:04:38.4885288Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-d2f525996ac20790.xml
2025-12-04T10:04:39.6092230Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:04:39.608806][3137.081038571]
2025-12-04T10:04:39.6092826Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:39.6095298Z 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 10:04:39.609238]
2025-12-04T10:04:40.9001999Z W1204 10:04:40.899000 23263 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:42.1565376Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 10:04:42.156166][3139.628398043]
2025-12-04T10:04:42.1565983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:42.1568331Z 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 10:04:42.156564]
2025-12-04T10:04:43.8472774Z 
2025-12-04T10:04:43.8474220Z 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_86052091ef4a13d6_.log
2025-12-04T10:04:43.8475165Z Running 0 items in this shard:
2025-12-04T10:04:43.8475358Z 
2025-12-04T10:04:43.8475702Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:04:43.847234][3141.319467872], took 0.07min
2025-12-04T10:04:43.8669387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-238b4fbc37ed9591.xml
2025-12-04T10:04:45.5753465Z 
2025-12-04T10:04:45.5754593Z 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_b6fab0bd26e5770f_.log
2025-12-04T10:04:45.5755662Z Running 0 items in this shard:
2025-12-04T10:04:45.5755854Z 
2025-12-04T10:04:45.5756234Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 10:04:45.575320][3143.047549933], took 0.06min
2025-12-04T10:04:45.5955714Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-514e0bc1ba45063d.xml
2025-12-04T10:04:46.1581498Z W1204 10:04:46.157000 23458 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:47.4937645Z Running dynamo/test_base_output 1/1 ... [2025-12-04 10:04:47.493325][3144.965557303]
2025-12-04T10:04:47.4938552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:47.4940477Z 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 10:04:47.493748]
2025-12-04T10:04:47.8655278Z W1204 10:04:47.864000 23522 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:49.1991456Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 10:04:49.198731][3146.67096357]
2025-12-04T10:04:49.1992297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:49.1994088Z 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 10:04:49.199142]
2025-12-04T10:04:51.1188254Z 
2025-12-04T10:04:51.1189279Z 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_29543cb5c3ddb388_.log
2025-12-04T10:04:51.1190211Z Running 0 items in this shard:
2025-12-04T10:04:51.1190404Z 
2025-12-04T10:04:51.1190718Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 10:04:51.118805][3148.591036714], took 0.06min
2025-12-04T10:04:51.1549559Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-3e3f360df1c421fe.xml
2025-12-04T10:04:53.4351907Z W1204 10:04:53.434000 23813 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:04:54.7530232Z Running export/test_serialize 1/1 ... [2025-12-04 10:04:54.752690][3152.224923219]
2025-12-04T10:04:54.7530768Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:04:54.7533576Z 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 10:04:54.753094]
2025-12-04T10:04:57.1889615Z 
2025-12-04T10:04:57.1891004Z 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_a69fde3a40705fd5_.log
2025-12-04T10:04:57.1891794Z 
2025-12-04T10:04:57.1892121Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 10:04:57.188850][3154.661083848], took 0.13min
2025-12-04T10:04:59.5508868Z W1204 10:04:59.550000 24131 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:00.8757156Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:05:00.875356][3158.347584519]
2025-12-04T10:05:00.8757718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:00.8761359Z 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 10:05:00.875902]
2025-12-04T10:05:03.0503879Z 
2025-12-04T10:05:03.0505393Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_5aedf29d95e9ff48_.log
2025-12-04T10:05:03.0506931Z Running 0 items in this shard:
2025-12-04T10:05:03.0507287Z 
2025-12-04T10:05:03.0509490Z Finished export/test_serialize 1/1 ... [2025-12-04 10:05:03.050301][3160.522530486], took 0.14min
2025-12-04T10:05:03.0889717Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-c9f4615c3cb9199e.xml
2025-12-04T10:05:05.4060506Z W1204 10:05:05.405000 24498 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:06.6796196Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:05:06.679270][3164.151502803]
2025-12-04T10:05:06.6796799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:06.6799472Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.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 10:05:06.679675]
2025-12-04T10:05:09.0141524Z 
2025-12-04T10:05:09.0142549Z 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_6e1f10908450bfb8_.log
2025-12-04T10:05:09.0143462Z Running 0 items in this shard:
2025-12-04T10:05:09.0143657Z 
2025-12-04T10:05:09.0144004Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:05:09.014071][3166.486305275], took 0.14min
2025-12-04T10:05:09.0346770Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-1f1b9bf79e3009c3.xml
2025-12-04T10:05:11.3928691Z W1204 10:05:11.392000 24816 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:12.7069054Z Running export/test_export_strict 1/1 ... [2025-12-04 10:05:12.706209][3170.178438987]
2025-12-04T10:05:12.7070251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:12.7073392Z 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 10:05:12.706787]
2025-12-04T10:05:14.7500789Z 
2025-12-04T10:05:14.7501951Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_07ab00083be0c760_.log
2025-12-04T10:05:14.7502867Z 
2025-12-04T10:05:14.7503288Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:05:14.749971][3172.222205133], took 0.13min
2025-12-04T10:05:17.1114668Z W1204 10:05:17.110000 25170 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:18.4138204Z Running dynamo/test_modules 1/1 ... [2025-12-04 10:05:18.413437][3175.885669978]
2025-12-04T10:05:18.4138726Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:18.4141481Z 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 10:05:18.413857]
2025-12-04T10:05:21.6464681Z 
2025-12-04T10:05:21.6465639Z 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_f7e1b698baed1c84_.log
2025-12-04T10:05:21.6466641Z Running 0 items in this shard:
2025-12-04T10:05:21.6466848Z 
2025-12-04T10:05:21.6467187Z Finished export/test_export_strict 1/1 ... [2025-12-04 10:05:21.646503][3179.118730962], took 0.15min
2025-12-04T10:05:21.6674870Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-3fb5471d70b5738e.xml
2025-12-04T10:05:24.0537666Z W1204 10:05:24.053000 25561 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:25.3959125Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 10:05:25.395534][3182.867767113]
2025-12-04T10:05:25.3959997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:25.3962798Z 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 10:05:25.395961]
2025-12-04T10:05:26.7825236Z 
2025-12-04T10:05:26.7826295Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_f8664d708bf1ab58_.log
2025-12-04T10:05:26.7827105Z Running 0 items in this shard:
2025-12-04T10:05:26.7827298Z 
2025-12-04T10:05:26.7827583Z Finished dynamo/test_modules 1/1 ... [2025-12-04 10:05:26.782463][3184.254691442], took 0.14min
2025-12-04T10:05:26.8039084Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-1aee97c61de6ee78.xml
2025-12-04T10:05:28.7183157Z 
2025-12-04T10:05:28.7184300Z 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_ecc3eff95059ece6_.log
2025-12-04T10:05:28.7185389Z Running 0 items in this shard:
2025-12-04T10:05:28.7185646Z 
2025-12-04T10:05:28.7185995Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 10:05:28.718389][3186.190619166], took 0.06min
2025-12-04T10:05:28.7394252Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-c27d314376805822.xml
2025-12-04T10:05:29.1213031Z W1204 10:05:29.120000 25769 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:30.4490721Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 10:05:30.448688][3187.920917093]
2025-12-04T10:05:30.4491286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:30.4494024Z 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 10:05:30.449133]
2025-12-04T10:05:31.0687875Z W1204 10:05:31.068000 25883 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:32.3559942Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 10:05:32.355636][3189.82786899]
2025-12-04T10:05:32.3560509Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:32.3562988Z 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 10:05:32.356041]
2025-12-04T10:05:35.9002846Z 
2025-12-04T10:05:35.9003968Z 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_aed4248b504c7260_.log
2025-12-04T10:05:35.9004869Z Running 0 items in this shard:
2025-12-04T10:05:35.9005064Z 
2025-12-04T10:05:35.9005440Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 10:05:35.900209][3193.372442628], took 0.06min
2025-12-04T10:05:35.9216696Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-7e2840b9367044bc.xml
2025-12-04T10:05:38.3463874Z W1204 10:05:38.345000 26314 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:38.4202372Z 
2025-12-04T10:05:38.4203456Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_212932db4987119a_.log
2025-12-04T10:05:38.4204514Z 
2025-12-04T10:05:38.4204864Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 10:05:38.420128][3195.892359747], took 0.13min
2025-12-04T10:05:39.6815073Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 10:05:39.681169][3197.153401146]
2025-12-04T10:05:39.6815640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:39.6818472Z 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 10:05:39.681598]
2025-12-04T10:05:40.7923145Z W1204 10:05:40.791000 26379 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:42.0758300Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 10:05:42.075315][3199.547545424]
2025-12-04T10:05:42.0759323Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:42.0761929Z 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 10:05:42.075767]
2025-12-04T10:05:45.7420239Z 
2025-12-04T10:05:45.7421684Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_9581ec076e83cce9_.log
2025-12-04T10:05:45.7422523Z Running 0 items in this shard:
2025-12-04T10:05:45.7422717Z 
2025-12-04T10:05:45.7423038Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 10:05:45.741952][3203.214183129], took 0.06min
2025-12-04T10:05:45.7637349Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-a924163b6e99c3f6.xml
2025-12-04T10:05:47.9955322Z 
2025-12-04T10:05:47.9956381Z 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_fbd9f079059e2658_.log
2025-12-04T10:05:47.9957220Z Running 0 items in this shard:
2025-12-04T10:05:47.9957425Z 
2025-12-04T10:05:47.9957965Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 10:05:47.995508][3205.46773929], took 0.14min
2025-12-04T10:05:48.0183550Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-f95aa92cc241ef61.xml
2025-12-04T10:05:48.0669952Z W1204 10:05:48.066000 26804 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:49.4194895Z Running inductor/test_foreach 1/1 ... [2025-12-04 10:05:49.419105][3206.891337666]
2025-12-04T10:05:49.4195947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:49.4199003Z 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 10:05:49.419546]
2025-12-04T10:05:50.4299124Z W1204 10:05:50.429000 26923 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:51.7238600Z Running export/test_tree_utils 1/1 ... [2025-12-04 10:05:51.723525][3209.195756003]
2025-12-04T10:05:51.7239139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:51.7242338Z 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 10:05:51.723947]
2025-12-04T10:05:55.0037251Z 
2025-12-04T10:05:55.0038572Z 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_ee5ecd2111b28bd3_.log
2025-12-04T10:05:55.0039852Z Running 0 items in this shard:
2025-12-04T10:05:55.0040190Z 
2025-12-04T10:05:55.0040727Z Finished export/test_tree_utils 1/1 ... [2025-12-04 10:05:55.003594][3212.475826992], took 0.05min
2025-12-04T10:05:55.0262043Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tree_utils/export.test_tree_utils-2a2bc5d41882c809.xml
2025-12-04T10:05:57.3330109Z W1204 10:05:57.332000 27258 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:05:58.6135622Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:05:58.613187][3216.085419662]
2025-12-04T10:05:58.6136251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:05:58.6139009Z 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 10:05:58.613606]
2025-12-04T10:05:58.6546568Z 
2025-12-04T10:05:58.6547476Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_9b6ebe875a20fe20_.log
2025-12-04T10:05:58.6548413Z Running 0 items in this shard:
2025-12-04T10:05:58.6548659Z 
2025-12-04T10:05:58.6549053Z Finished inductor/test_foreach 1/1 ... [2025-12-04 10:05:58.654659][3216.126889271], took 0.15min
2025-12-04T10:05:58.6770523Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-e915bc0bcbe312eb.xml
2025-12-04T10:06:01.0222346Z W1204 10:06:01.021000 27435 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:02.2780573Z Running export/test_dynamic_shapes 1/1 ... [2025-12-04 10:06:02.277698][3219.749931285]
2025-12-04T10:06:02.2781131Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:02.2784097Z 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 10:06:02.278114]
2025-12-04T10:06:05.6312446Z 
2025-12-04T10:06:05.6314414Z 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_ffe5680d9dd39464_.log
2025-12-04T10:06:05.6315459Z Running 0 items in this shard:
2025-12-04T10:06:05.6315686Z 
2025-12-04T10:06:05.6316001Z Finished export/test_dynamic_shapes 1/1 ... [2025-12-04 10:06:05.631188][3223.103419292], took 0.06min
2025-12-04T10:06:05.6539829Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_dynamic_shapes/export.test_dynamic_shapes-89b3be114e7303a8.xml
2025-12-04T10:06:06.7309793Z 
2025-12-04T10:06:06.7311035Z 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_1b06c364b795f975_.log
2025-12-04T10:06:06.7311968Z Running 0 items in this shard:
2025-12-04T10:06:06.7312172Z 
2025-12-04T10:06:06.7312526Z Finished inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:06:06.730923][3224.20315559], took 0.14min
2025-12-04T10:06:06.7534943Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_static_cuda_launcher/inductor.test_static_cuda_launcher-56d5fa622f1083c3.xml
2025-12-04T10:06:08.0049284Z W1204 10:06:08.003000 27802 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:09.0718746Z W1204 10:06:09.071000 27866 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:09.3005874Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 10:06:09.300108][3226.772339685]
2025-12-04T10:06:09.3006794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:09.3008799Z 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 10:06:09.300545]
2025-12-04T10:06:10.4195908Z Running dynamo/test_utils 1/1 ... [2025-12-04 10:06:10.419208][3227.891441079]
2025-12-04T10:06:10.4196423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:10.4199295Z 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 10:06:10.419642]
2025-12-04T10:06:12.9065562Z 
2025-12-04T10:06:12.9066671Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_3caddc09158fab11_.log
2025-12-04T10:06:12.9067433Z Running 0 items in this shard:
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2025-12-04T10:06:12.9067909Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 10:06:12.906540][3230.378772055], took 0.06min
2025-12-04T10:06:12.9297873Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sdpa/dynamo.test_sdpa-4d87e0304e709c79.xml
2025-12-04T10:06:13.7604964Z 
2025-12-04T10:06:13.7606215Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_cefc45017207d559_.log
2025-12-04T10:06:13.7607938Z Running 0 items in this shard:
2025-12-04T10:06:13.7608244Z 
2025-12-04T10:06:13.7608670Z Finished dynamo/test_utils 1/1 ... [2025-12-04 10:06:13.760474][3231.232704941], took 0.06min
2025-12-04T10:06:13.7837375Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-9aec7b604eac70d9.xml
2025-12-04T10:06:15.3232528Z W1204 10:06:15.322000 28158 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:16.1013801Z W1204 10:06:16.100000 28174 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:16.5928669Z Running inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:06:16.592530][3234.064763659]
2025-12-04T10:06:16.5929253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:16.5931881Z 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 10:06:16.592938]
2025-12-04T10:06:17.4563021Z Running inductor/test_combo_kernels 1/1 ... [2025-12-04 10:06:17.455894][3234.928126438]
2025-12-04T10:06:17.4563965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:17.4566884Z 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 10:06:17.456345]
2025-12-04T10:06:25.0426616Z 
2025-12-04T10:06:25.0428282Z 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_41fb5f752b122682_.log
2025-12-04T10:06:25.0429221Z Running 0 items in this shard:
2025-12-04T10:06:25.0429411Z 
2025-12-04T10:06:25.0429801Z Finished inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:06:25.042592][3242.514825684], took 0.14min
2025-12-04T10:06:25.0660924Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-70c58bcbe7e6b873.xml
2025-12-04T10:06:26.7961778Z 
2025-12-04T10:06:26.7962828Z 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_38dc377a0cf113d9_.log
2025-12-04T10:06:26.7963688Z Running 0 items in this shard:
2025-12-04T10:06:26.7963894Z 
2025-12-04T10:06:26.7964218Z Finished inductor/test_combo_kernels 1/1 ... [2025-12-04 10:06:26.796082][3244.268310124], took 0.16min
2025-12-04T10:06:26.8202606Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_combo_kernels/inductor.test_combo_kernels-e5fdb409bcba42cc.xml
2025-12-04T10:06:27.4598684Z W1204 10:06:27.459000 28830 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:28.8374639Z Running inductor/test_codegen_triton 1/1 ... [2025-12-04 10:06:28.837076][3246.309308698]
2025-12-04T10:06:28.8375200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:28.8378062Z 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 10:06:28.837507]
2025-12-04T10:06:29.1899166Z W1204 10:06:29.189000 28900 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:30.5908787Z Running dynamo/test_frame_init 1/1 ... [2025-12-04 10:06:30.590522][3248.062754437]
2025-12-04T10:06:30.5909320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:30.5912088Z 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 10:06:30.590943]
2025-12-04T10:06:34.0357201Z 
2025-12-04T10:06:34.0358590Z 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_6450091e1bfe85fb_.log
2025-12-04T10:06:34.0359429Z Running 0 items in this shard:
2025-12-04T10:06:34.0359629Z 
2025-12-04T10:06:34.0359919Z Finished dynamo/test_frame_init 1/1 ... [2025-12-04 10:06:34.035543][3251.507776157], took 0.06min
2025-12-04T10:06:34.0755701Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-5ebdf1ac75cc2dd1.xml
2025-12-04T10:06:36.5501335Z W1204 10:06:36.549000 29275 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:37.4338668Z 
2025-12-04T10:06:37.4340243Z 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_2a29496b32f883fd_.log
2025-12-04T10:06:37.4341131Z Running 0 items in this shard:
2025-12-04T10:06:37.4341336Z 
2025-12-04T10:06:37.4341659Z Finished inductor/test_codegen_triton 1/1 ... [2025-12-04 10:06:37.433799][3254.906032974], took 0.14min
2025-12-04T10:06:37.4580645Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_codegen_triton/inductor.test_codegen_triton-fbc2559140128f36.xml
2025-12-04T10:06:37.9280934Z Running inductor/test_device_assert 1/1 ... [2025-12-04 10:06:37.927729][3255.399962237]
2025-12-04T10:06:37.9281488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:37.9285186Z 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 10:06:37.928249]
2025-12-04T10:06:40.0241904Z W1204 10:06:40.023000 29356 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:41.3283691Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:06:41.327987][3258.800218163]
2025-12-04T10:06:41.3284245Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:41.3287008Z 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 10:06:41.328426]
2025-12-04T10:06:45.0258289Z 
2025-12-04T10:06:45.0259540Z 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_698540f6ba341d36_.log
2025-12-04T10:06:45.0260437Z Running 0 items in this shard:
2025-12-04T10:06:45.0260632Z 
2025-12-04T10:06:45.0260957Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:06:45.025796][3262.498027083], took 0.06min
2025-12-04T10:06:45.0508218Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-92d735a8739307a9.xml
2025-12-04T10:06:46.2930185Z 
2025-12-04T10:06:46.2932214Z 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_657d7c163e8dc4f4_.log
2025-12-04T10:06:46.2934251Z Running 0 items in this shard:
2025-12-04T10:06:46.2934692Z 
2025-12-04T10:06:46.2935431Z Finished inductor/test_device_assert 1/1 ... [2025-12-04 10:06:46.292619][3263.76484767], took 0.14min
2025-12-04T10:06:46.3187620Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_device_assert/inductor.test_device_assert-60229fa312b1e32e.xml
2025-12-04T10:06:47.4160056Z W1204 10:06:47.415000 29786 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:48.6224529Z W1204 10:06:48.621000 29886 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:48.7534557Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:06:48.753098][3266.225330885]
2025-12-04T10:06:48.7535181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:48.7538126Z 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 10:06:48.753514]
2025-12-04T10:06:49.9925205Z Running dynamo/test_interop 1/1 ... [2025-12-04 10:06:49.992129][3267.464361523]
2025-12-04T10:06:49.9925912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:49.9928306Z 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 10:06:49.992540]
2025-12-04T10:06:52.5932243Z 
2025-12-04T10:06:52.5933702Z 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_b7dfead684531518_.log
2025-12-04T10:06:52.5934715Z Running 0 items in this shard:
2025-12-04T10:06:52.5935076Z 
2025-12-04T10:06:52.5935453Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:06:52.593126][3270.065358313], took 0.06min
2025-12-04T10:06:52.6182031Z 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-1443156642b66815.xml
2025-12-04T10:06:53.8384755Z 
2025-12-04T10:06:53.8385743Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_201ff506b79a3e26_.log
2025-12-04T10:06:53.8386596Z Running 0 items in this shard:
2025-12-04T10:06:53.8386805Z 
2025-12-04T10:06:53.8387148Z Finished dynamo/test_interop 1/1 ... [2025-12-04 10:06:53.838382][3271.310615273], took 0.06min
2025-12-04T10:06:53.8641906Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_interop/dynamo.test_interop-3d5565258b58ee06.xml
2025-12-04T10:06:55.1252132Z W1204 10:06:55.124000 30142 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:56.4059716Z W1204 10:06:56.405000 30158 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:06:56.5420078Z Running functorch/test_eager_transforms 1/1 ... [2025-12-04 10:06:56.541618][3274.013851191]
2025-12-04T10:06:56.5420665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:56.5423396Z 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 10:06:56.542049]
2025-12-04T10:06:57.8022367Z Running inductor/test_benchmarking 1/1 ... [2025-12-04 10:06:57.801787][3275.274020321]
2025-12-04T10:06:57.8023333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:06:57.8026417Z 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 10:06:57.802231]
2025-12-04T10:07:01.7291215Z 
2025-12-04T10:07:01.7292259Z 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_564eefe1cda7537c_.log
2025-12-04T10:07:01.7293524Z Running 0 items in this shard:
2025-12-04T10:07:01.7293839Z 
2025-12-04T10:07:01.7294519Z Finished functorch/test_eager_transforms 1/1 ... [2025-12-04 10:07:01.729122][3279.201352702], took 0.09min
2025-12-04T10:07:01.7553314Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_eager_transforms/functorch.test_eager_transforms-ed39f2e4259f103b.xml
2025-12-04T10:07:04.1323396Z W1204 10:07:04.131000 30589 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:05.4638669Z Running inductor/test_helion_kernels 1/1 ... [2025-12-04 10:07:05.463509][3282.935742847]
2025-12-04T10:07:05.4639252Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:05.4641675Z 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 10:07:05.463927]
2025-12-04T10:07:06.3281147Z 
2025-12-04T10:07:06.3282279Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_62d11812850dbc5c_.log
2025-12-04T10:07:06.3283161Z Running 0 items in this shard:
2025-12-04T10:07:06.3283368Z 
2025-12-04T10:07:06.3283719Z Finished inductor/test_benchmarking 1/1 ... [2025-12-04 10:07:06.328068][3283.800300362], took 0.14min
2025-12-04T10:07:06.3538584Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmarking/inductor.test_benchmarking-c09c81a10598b1e8.xml
2025-12-04T10:07:08.6255772Z W1204 10:07:08.624000 30782 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:09.9501945Z Running inductor/test_quantization 1/1 ... [2025-12-04 10:07:09.949809][3287.422041185]
2025-12-04T10:07:09.9502517Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:09.9505051Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_quantization.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 10:07:09.950232]
2025-12-04T10:07:13.5511503Z 
2025-12-04T10:07:13.5512628Z 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_2a56ee30b1f06103_.log
2025-12-04T10:07:13.5513508Z Running 0 items in this shard:
2025-12-04T10:07:13.5513721Z 
2025-12-04T10:07:13.5514047Z Finished inductor/test_helion_kernels 1/1 ... [2025-12-04 10:07:13.551091][3291.023323628], took 0.13min
2025-12-04T10:07:13.5771798Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_helion_kernels/inductor.test_helion_kernels-b367e247a89b7711.xml
2025-12-04T10:07:15.8858071Z W1204 10:07:15.885000 31210 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:17.2757520Z Running export/test_tools 1/1 ... [2025-12-04 10:07:17.275307][3294.747540377]
2025-12-04T10:07:17.2758445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:17.2761707Z 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 10:07:17.275763]
2025-12-04T10:07:18.1468325Z 
2025-12-04T10:07:18.1469334Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_420f17d0f527db65_.log
2025-12-04T10:07:18.1470096Z 
2025-12-04T10:07:18.1470420Z Finished inductor/test_quantization 1/1 ... [2025-12-04 10:07:18.146726][3295.618958845], took 0.14min
2025-12-04T10:07:20.6190579Z W1204 10:07:20.618000 31418 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:21.1539571Z 
2025-12-04T10:07:21.1540503Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_2607cf92823cdf01_.log
2025-12-04T10:07:21.1541844Z Running 0 items in this shard:
2025-12-04T10:07:21.1542187Z 
2025-12-04T10:07:21.1542622Z Finished export/test_tools 1/1 ... [2025-12-04 10:07:21.154009][3298.626238559], took 0.06min
2025-12-04T10:07:21.1801431Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tools/export.test_tools-1aa4774e753fa476.xml
2025-12-04T10:07:22.0623108Z Running inductor/test_compiled_optimizers 1/1 ... [2025-12-04 10:07:22.061958][3299.534190092]
2025-12-04T10:07:22.0623710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:22.0627035Z 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 10:07:22.062414]
2025-12-04T10:07:23.9076444Z W1204 10:07:23.906000 31580 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:25.3632622Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 10:07:25.362803][3302.835034224]
2025-12-04T10:07:25.3633703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:25.3636368Z 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 10:07:25.363265]
2025-12-04T10:07:33.9117932Z 
2025-12-04T10:07:33.9119111Z 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_3261f24e67556215_.log
2025-12-04T10:07:33.9120051Z Running 0 items in this shard:
2025-12-04T10:07:33.9120246Z 
2025-12-04T10:07:33.9120628Z Finished inductor/test_compiled_optimizers 1/1 ... [2025-12-04 10:07:33.911758][3311.383988577], took 0.20min
2025-12-04T10:07:33.9379361Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-da62fe6cdf2436a8.xml
2025-12-04T10:07:34.5789146Z 
2025-12-04T10:07:34.5790214Z 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_05b38b4b185b59fd_.log
2025-12-04T10:07:34.5791097Z 
2025-12-04T10:07:34.5791460Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 10:07:34.578903][3312.051134116], took 0.15min
2025-12-04T10:07:36.4697660Z W1204 10:07:36.469000 32166 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:37.1308854Z W1204 10:07:37.130000 32266 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:37.7727250Z Running inductor/test_memory_planning 1/1 ... [2025-12-04 10:07:37.772271][3315.244504299]
2025-12-04T10:07:37.7727820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:37.7730007Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory_planning.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 10:07:37.772664]
2025-12-04T10:07:38.4967166Z Running inductor/test_dependencies 1/1 ... [2025-12-04 10:07:38.496295][3315.968527086]
2025-12-04T10:07:38.4967785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:38.4970195Z 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 10:07:38.496701]
2025-12-04T10:07:46.3107417Z 
2025-12-04T10:07:46.3108550Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_0b01d795eb5da5b9_.log
2025-12-04T10:07:46.3109338Z 
2025-12-04T10:07:46.3109687Z Finished inductor/test_memory_planning 1/1 ... [2025-12-04 10:07:46.310674][3323.782905405], took 0.14min
2025-12-04T10:07:47.7010059Z 
2025-12-04T10:07:47.7012024Z inductor/test_dependencies 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_dependencies_1.1_6b0967c26dcc911d_.log
2025-12-04T10:07:47.7013400Z 
2025-12-04T10:07:47.7013961Z Finished inductor/test_dependencies 1/1 ... [2025-12-04 10:07:47.700788][3325.173021649], took 0.15min
2025-12-04T10:07:48.6807027Z W1204 10:07:48.680000 32850 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:50.0321936Z Running inductor/test_alignment 1/1 ... [2025-12-04 10:07:50.031802][3327.504035275]
2025-12-04T10:07:50.0322494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:50.0324622Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_alignment.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 10:07:50.032215]
2025-12-04T10:07:50.0916210Z W1204 10:07:50.091000 32962 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:51.4391467Z Running dynamo/test_debug_utils 1/1 ... [2025-12-04 10:07:51.438756][3328.910989133]
2025-12-04T10:07:51.4392037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:51.4394457Z 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 10:07:51.439164]
2025-12-04T10:07:55.3319234Z 
2025-12-04T10:07:55.3320468Z 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_e2df58f58f0a1992_.log
2025-12-04T10:07:55.3321377Z Running 0 items in this shard:
2025-12-04T10:07:55.3321605Z 
2025-12-04T10:07:55.3322038Z Finished dynamo/test_debug_utils 1/1 ... [2025-12-04 10:07:55.331913][3332.804142899], took 0.06min
2025-12-04T10:07:55.3577153Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_debug_utils/dynamo.test_debug_utils-1c60a01a506dfd00.xml
2025-12-04T10:07:57.8387950Z W1204 10:07:57.837000 33283 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:07:58.5489758Z 
2025-12-04T10:07:58.5491087Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_985289eb6ff0f734_.log
2025-12-04T10:07:58.5492172Z 
2025-12-04T10:07:58.5492725Z Finished inductor/test_alignment 1/1 ... [2025-12-04 10:07:58.548842][3336.021074963], took 0.14min
2025-12-04T10:07:59.2146463Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 10:07:59.214271][3336.686502484]
2025-12-04T10:07:59.2147023Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:07:59.2149958Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_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 10:07:59.214743]
2025-12-04T10:08:01.1287695Z W1204 10:08:01.128000 33475 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:02.4681346Z Running xpu/test_fusion 1/1 ... [2025-12-04 10:08:02.467688][3339.939921143]
2025-12-04T10:08:02.4682042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:02.4684162Z 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 10:08:02.468131]
2025-12-04T10:08:06.1221348Z 
2025-12-04T10:08:06.1222499Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_8024312f47e7b907_.log
2025-12-04T10:08:06.1223392Z Running 0 items in this shard:
2025-12-04T10:08:06.1223588Z 
2025-12-04T10:08:06.1223953Z Finished xpu/test_fusion 1/1 ... [2025-12-04 10:08:06.122069][3343.594300523], took 0.06min
2025-12-04T10:08:06.1483328Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-15c7b26bc6188586.xml
2025-12-04T10:08:07.9130812Z 
2025-12-04T10:08:07.9131839Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_2052d329faf4b284_.log
2025-12-04T10:08:07.9132549Z 
2025-12-04T10:08:07.9132873Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 10:08:07.912987][3345.385219298], took 0.14min
2025-12-04T10:08:08.5621335Z W1204 10:08:08.561000 33884 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:10.0267655Z Running test_expanded_weights 1/1 ... [2025-12-04 10:08:10.026355][3347.498586436]
2025-12-04T10:08:10.0268190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:10.0271247Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_expanded_weights.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 10:08:10.026843]
2025-12-04T10:08:10.5837122Z W1204 10:08:10.582000 33991 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:11.9359924Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:08:11.935619][3349.407850452]
2025-12-04T10:08:11.9360553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:11.9363887Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.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 10:08:11.936083]
2025-12-04T10:08:14.7945652Z 
2025-12-04T10:08:14.7946701Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_eac8ff74e9044606_.log
2025-12-04T10:08:14.7947519Z Running 0 items in this shard:
2025-12-04T10:08:14.7947713Z 
2025-12-04T10:08:14.7948006Z Finished test_expanded_weights 1/1 ... [2025-12-04 10:08:14.794514][3352.266747325], took 0.08min
2025-12-04T10:08:14.8211834Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_expanded_weights/test_expanded_weights-85bd8731887f0953.xml
2025-12-04T10:08:16.1801697Z 
2025-12-04T10:08:16.1802851Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_995afa8d00a18bca_.log
2025-12-04T10:08:16.1803894Z Running 0 items in this shard:
2025-12-04T10:08:16.1804089Z 
2025-12-04T10:08:16.1804536Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:08:16.180197][3353.652415927], took 0.07min
2025-12-04T10:08:16.2074797Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-d5842d56223abb23.xml
2025-12-04T10:08:17.1130538Z W1204 10:08:17.112000 34213 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:18.4539024Z Running test_weak 1/1 ... [2025-12-04 10:08:18.453580][3355.925813031]
2025-12-04T10:08:18.4539527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:18.4542666Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.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 10:08:18.454001]
2025-12-04T10:08:18.5289471Z W1204 10:08:18.528000 34277 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:19.8435373Z Running test_complex 1/1 ... [2025-12-04 10:08:19.843168][3357.315397981]
2025-12-04T10:08:19.8435874Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:19.8438754Z 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 10:08:19.843637]
2025-12-04T10:08:21.7541289Z 
2025-12-04T10:08:21.7542148Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_3337c400e16735f8_.log
2025-12-04T10:08:21.7542851Z Running 0 items in this shard:
2025-12-04T10:08:21.7543044Z 
2025-12-04T10:08:21.7543305Z Finished test_weak 1/1 ... [2025-12-04 10:08:21.754053][3359.226287353], took 0.06min
2025-12-04T10:08:21.7807516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-43d590ef07826cd1.xml
2025-12-04T10:08:23.4934786Z 
2025-12-04T10:08:23.4935701Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_4d314f38d9f92910_.log
2025-12-04T10:08:23.4936486Z Running 0 items in this shard:
2025-12-04T10:08:23.4936680Z 
2025-12-04T10:08:23.4936931Z Finished test_complex 1/1 ... [2025-12-04 10:08:23.493381][3360.965615719], took 0.06min
2025-12-04T10:08:23.5204585Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-6502c1ba8308716d.xml
2025-12-04T10:08:24.1692511Z W1204 10:08:24.168000 34569 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:25.5141125Z Running test_optim 1/1 ... [2025-12-04 10:08:25.513684][3362.985916698]
2025-12-04T10:08:25.5141706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:25.5143620Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 10:08:25.514101]
2025-12-04T10:08:25.9399919Z W1204 10:08:25.939000 34634 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:27.2788187Z Running lazy/test_functionalization 1/1 ... [2025-12-04 10:08:27.278408][3364.750640526]
2025-12-04T10:08:27.2789602Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:27.2792115Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_functionalization.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 10:08:27.278802]
2025-12-04T10:08:30.5843356Z 
2025-12-04T10:08:30.5844627Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_0257c0afbe9b0bc4_.log
2025-12-04T10:08:30.5845365Z Running 0 items in this shard:
2025-12-04T10:08:30.5845557Z 
2025-12-04T10:08:30.5845794Z Finished test_optim 1/1 ... [2025-12-04 10:08:30.584277][3368.056509356], took 0.08min
2025-12-04T10:08:30.6128540Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-42bb91deaac1d1fb.xml
2025-12-04T10:08:30.6143292Z 
2025-12-04T10:08:30.6144319Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_d93d2afef3f40707_.log
2025-12-04T10:08:30.6145297Z Running 0 items in this shard:
2025-12-04T10:08:30.6145496Z 
2025-12-04T10:08:30.6145860Z Finished lazy/test_functionalization 1/1 ... [2025-12-04 10:08:30.614377][3368.086609288], took 0.06min
2025-12-04T10:08:30.6769893Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_functionalization/lazy.test_functionalization-8e29a224eba3e7e4.xml
2025-12-04T10:08:32.9286521Z W1204 10:08:32.928000 34940 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:32.9836059Z W1204 10:08:32.983000 34941 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:34.2227381Z Running torch_np/test_random 1/1 ... [2025-12-04 10:08:34.222317][3371.694549595]
2025-12-04T10:08:34.2227912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:34.2230004Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_random.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 10:08:34.222723]
2025-12-04T10:08:34.3117949Z Running nn/test_multihead_attention 1/1 ... [2025-12-04 10:08:34.311020][3371.783246706]
2025-12-04T10:08:34.3119334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:34.3125588Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:34.311776]
2025-12-04T10:08:37.7632413Z 
2025-12-04T10:08:37.7633395Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_5a71599552f57b02_.log
2025-12-04T10:08:37.7634179Z Running 0 items in this shard:
2025-12-04T10:08:37.7634387Z 
2025-12-04T10:08:37.7634965Z Finished torch_np/test_random 1/1 ... [2025-12-04 10:08:37.763117][3375.235350061], took 0.06min
2025-12-04T10:08:37.7918137Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_random/torch_np.test_random-6bb910674bae291f.xml
2025-12-04T10:08:37.8635155Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_multihead_attention/nn.test_multihead_attention-b060e4646266b919.xml
2025-12-04T10:08:38.1502057Z 
2025-12-04T10:08:38.1503771Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_aec7000a39062e67_.log
2025-12-04T10:08:38.1504680Z Running 0 items in this shard:
2025-12-04T10:08:38.1504875Z 
2025-12-04T10:08:38.1505195Z Finished nn/test_multihead_attention 1/1 ... [2025-12-04 10:08:38.150212][3375.62244462], took 0.06min
2025-12-04T10:08:40.4374710Z W1204 10:08:40.436000 35200 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:40.8252156Z W1204 10:08:40.824000 35285 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:41.8456083Z Running test_legacy_vmap 1/1 ... [2025-12-04 10:08:41.845089][3379.317319488]
2025-12-04T10:08:41.8457007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:41.8458845Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_legacy_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 10:08:41.845584]
2025-12-04T10:08:42.2555459Z Running lazy/test_bindings 1/1 ... [2025-12-04 10:08:42.255163][3379.727394218]
2025-12-04T10:08:42.2555987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:42.2559183Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_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 10:08:42.255644]
2025-12-04T10:08:45.7800505Z 
2025-12-04T10:08:45.7801493Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_eebacd6770591a77_.log
2025-12-04T10:08:45.7802335Z Running 0 items in this shard:
2025-12-04T10:08:45.7802564Z 
2025-12-04T10:08:45.7802855Z Finished lazy/test_bindings 1/1 ... [2025-12-04 10:08:45.780006][3383.252239544], took 0.06min
2025-12-04T10:08:45.8240549Z 
2025-12-04T10:08:45.8241379Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_13d5cf9c90f2212c_.log
2025-12-04T10:08:45.8242286Z Running 0 items in this shard:
2025-12-04T10:08:45.8242496Z 
2025-12-04T10:08:45.8243151Z Finished test_legacy_vmap 1/1 ... [2025-12-04 10:08:45.824116][3383.296346431], took 0.07min
2025-12-04T10:08:45.8309148Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_legacy_vmap/test_legacy_vmap-d2fad25c7f3a5bb0.xml
2025-12-04T10:08:45.9214121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_bindings/lazy.test_bindings-ad424acaca0393e3.xml
2025-12-04T10:08:48.3273060Z W1204 10:08:48.326000 35557 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:48.3407885Z W1204 10:08:48.340000 35556 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:49.7116626Z Running test_pytree 1/1 ... [2025-12-04 10:08:49.711301][3387.18353431]
2025-12-04T10:08:49.7117125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:49.7120447Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pytree.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 10:08:49.711718]
2025-12-04T10:08:49.7258397Z Running profiler/test_record_function 1/1 ... [2025-12-04 10:08:49.725576][3387.197809339]
2025-12-04T10:08:49.7258933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:49.7262467Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_record_function.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 10:08:49.725983]
2025-12-04T10:08:53.2195610Z 
2025-12-04T10:08:53.2197114Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_95687072730cde4c_.log
2025-12-04T10:08:53.2198032Z Running 0 items in this shard:
2025-12-04T10:08:53.2198228Z 
2025-12-04T10:08:53.2198575Z Finished profiler/test_record_function 1/1 ... [2025-12-04 10:08:53.219443][3390.691675948], took 0.06min
2025-12-04T10:08:53.2491359Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pytree/test_pytree-3fec04d09a83a034.xml
2025-12-04T10:08:53.3236962Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-09b55bbdb9194e61.xml
2025-12-04T10:08:53.5335986Z 
2025-12-04T10:08:53.5337096Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_6019b75fdae10936_.log
2025-12-04T10:08:53.5337836Z Running 0 items in this shard:
2025-12-04T10:08:53.5338038Z 
2025-12-04T10:08:53.5338333Z Finished test_pytree 1/1 ... [2025-12-04 10:08:53.533493][3391.005725793], took 0.06min
2025-12-04T10:08:55.8549170Z W1204 10:08:55.854000 35912 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:56.1749661Z W1204 10:08:56.174000 35913 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:08:57.2628444Z Running test_compile_benchmark_util 1/1 ... [2025-12-04 10:08:57.262434][3394.734664821]
2025-12-04T10:08:57.2629015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:57.2631959Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_compile_benchmark_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 10:08:57.262919]
2025-12-04T10:08:57.5829699Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 10:08:57.582590][3395.054822348]
2025-12-04T10:08:57.5830282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:08:57.5832752Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.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 10:08:57.583008]
2025-12-04T10:09:00.9285548Z 
2025-12-04T10:09:00.9287217Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_d363eced03c60af8_.log
2025-12-04T10:09:00.9288332Z Running 0 items in this shard:
2025-12-04T10:09:00.9288525Z 
2025-12-04T10:09:00.9288856Z Finished test_compile_benchmark_util 1/1 ... [2025-12-04 10:09:00.928560][3398.400788196], took 0.06min
2025-12-04T10:09:00.9601440Z 
2025-12-04T10:09:00.9602914Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_30a4ff74aabd3b61_.log
2025-12-04T10:09:00.9603946Z Running 0 items in this shard:
2025-12-04T10:09:00.9604139Z 
2025-12-04T10:09:00.9604500Z Finished test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 10:09:00.960061][3398.432293591], took 0.06min
2025-12-04T10:09:01.0317271Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_compile_benchmark_util/test_compile_benchmark_util-316ea3b022b55279.xml
2025-12-04T10:09:01.1145285Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-70bb3ed7cf682ce9.xml
2025-12-04T10:09:03.3316082Z W1204 10:09:03.330000 36220 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:03.3364388Z W1204 10:09:03.335000 36221 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:04.6324193Z Running test_stateless 1/1 ... [2025-12-04 10:09:04.632058][3402.104290242]
2025-12-04T10:09:04.6324705Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:04.6326504Z Running test_binary_ufuncs 1/1 ... [2025-12-04 10:09:04.632457][3402.104690794]
2025-12-04T10:09:04.6326978Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:04.6328256Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.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 10:09:04.632492]
2025-12-04T10:09:04.6330901Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_binary_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 10:09:04.632829]
2025-12-04T10:09:08.3143193Z 
2025-12-04T10:09:08.3144087Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_3fef134e349e749c_.log
2025-12-04T10:09:08.3144819Z Running 0 items in this shard:
2025-12-04T10:09:08.3145032Z 
2025-12-04T10:09:08.3145291Z Finished test_stateless 1/1 ... [2025-12-04 10:09:08.314207][3405.786441318], took 0.06min
2025-12-04T10:09:08.3438384Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_stateless/test_stateless-957b6968bf8762c6.xml
2025-12-04T10:09:09.4025512Z 
2025-12-04T10:09:09.4026908Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_0df6e61cd85b8992_.log
2025-12-04T10:09:09.4028349Z Running 0 items in this shard:
2025-12-04T10:09:09.4028727Z 
2025-12-04T10:09:09.4029217Z Finished test_binary_ufuncs 1/1 ... [2025-12-04 10:09:09.402502][3406.874733113], took 0.08min
2025-12-04T10:09:09.4327873Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_binary_ufuncs/test_binary_ufuncs-2140995f9cedc813.xml
2025-12-04T10:09:10.6823881Z W1204 10:09:10.681000 36579 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:11.7104072Z W1204 10:09:11.709000 36607 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:11.9670062Z Running higher_order_ops/test_print 1/1 ... [2025-12-04 10:09:11.966587][3409.438820616]
2025-12-04T10:09:11.9671081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:11.9673863Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_print.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 10:09:11.966998]
2025-12-04T10:09:13.0347215Z Running test_per_overload_api 1/1 ... [2025-12-04 10:09:13.034295][3410.506528086]
2025-12-04T10:09:13.0348142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:13.0350988Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_per_overload_api.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 10:09:13.034708]
2025-12-04T10:09:15.5701828Z 
2025-12-04T10:09:15.5703243Z higher_order_ops/test_print 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_print_1.1_34335129356d015c_.log
2025-12-04T10:09:15.5704114Z Running 0 items in this shard:
2025-12-04T10:09:15.5704341Z 
2025-12-04T10:09:15.5704656Z Finished higher_order_ops/test_print 1/1 ... [2025-12-04 10:09:15.570099][3413.042332744], took 0.06min
2025-12-04T10:09:15.5999521Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_print/higher_order_ops.test_print-26eb49a91b8759a8.xml
2025-12-04T10:09:16.2802160Z 
2025-12-04T10:09:16.2803177Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_d45d8fe5cca5160c_.log
2025-12-04T10:09:16.2804344Z Running 0 items in this shard:
2025-12-04T10:09:16.2806004Z 
2025-12-04T10:09:16.2806509Z Finished test_per_overload_api 1/1 ... [2025-12-04 10:09:16.280134][3413.752367365], took 0.05min
2025-12-04T10:09:16.3106749Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_per_overload_api/test_per_overload_api-053c82c7f0cdd849.xml
2025-12-04T10:09:17.9535774Z W1204 10:09:17.952000 36851 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:18.6341277Z W1204 10:09:18.633000 36951 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:19.2368234Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 10:09:19.236363][3416.708592255]
2025-12-04T10:09:19.2369168Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:19.2372645Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.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 10:09:19.236876]
2025-12-04T10:09:19.9773217Z Running test_out_dtype_op 1/1 ... [2025-12-04 10:09:19.976957][3417.449189021]
2025-12-04T10:09:19.9773760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:19.9776486Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.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 10:09:19.977389]
2025-12-04T10:09:22.5952210Z 
2025-12-04T10:09:22.5953722Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_f33fb024be137696_.log
2025-12-04T10:09:22.5955199Z Running 0 items in this shard:
2025-12-04T10:09:22.5955519Z 
2025-12-04T10:09:22.5956158Z Finished torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 10:09:22.595150][3420.067384095], took 0.06min
2025-12-04T10:09:22.6254525Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_einsum/torch_np.numpy_tests.core.test_einsum-42da824b94521506.xml
2025-12-04T10:09:23.9978908Z 
2025-12-04T10:09:23.9979778Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_e5fbe5273c40f659_.log
2025-12-04T10:09:23.9980548Z Running 0 items in this shard:
2025-12-04T10:09:23.9980742Z 
2025-12-04T10:09:23.9981020Z Finished test_out_dtype_op 1/1 ... [2025-12-04 10:09:23.997855][3421.470085536], took 0.07min
2025-12-04T10:09:24.0280980Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_out_dtype_op/test_out_dtype_op-9a1912a260faa810.xml
2025-12-04T10:09:24.9628520Z W1204 10:09:24.962000 37207 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:26.3104845Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 10:09:26.310062][3423.782295181]
2025-12-04T10:09:26.3105813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:26.3109517Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_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 10:09:26.310577]
2025-12-04T10:09:26.3400387Z W1204 10:09:26.339000 37223 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:27.6489547Z Running lazy/test_step_closures 1/1 ... [2025-12-04 10:09:27.648615][3425.120847789]
2025-12-04T10:09:27.6490436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:27.6492503Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_step_closures.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 10:09:27.649006]
2025-12-04T10:09:30.2829494Z 
2025-12-04T10:09:30.2831075Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_73de910e428aef9a_.log
2025-12-04T10:09:30.2832614Z Running 0 items in this shard:
2025-12-04T10:09:30.2832985Z 
2025-12-04T10:09:30.2833554Z Finished torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 10:09:30.282882][3427.75511429], took 0.07min
2025-12-04T10:09:30.3152898Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ufuncs_basic/torch_np.test_ufuncs_basic-58ab876244ef08f7.xml
2025-12-04T10:09:31.0389773Z 
2025-12-04T10:09:31.0390850Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_3ec9b8b8698790bb_.log
2025-12-04T10:09:31.0391679Z Running 0 items in this shard:
2025-12-04T10:09:31.0391870Z 
2025-12-04T10:09:31.0392206Z Finished lazy/test_step_closures 1/1 ... [2025-12-04 10:09:31.038925][3428.511159335], took 0.06min
2025-12-04T10:09:31.0698501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_step_closures/lazy.test_step_closures-f16aa21b04787e4b.xml
2025-12-04T10:09:32.7311529Z W1204 10:09:32.730000 37515 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:33.3806873Z W1204 10:09:33.380000 37531 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:34.0243661Z Running functorch/dim/test_getsetitem 1/1 ... [2025-12-04 10:09:34.023898][3431.496130565]
2025-12-04T10:09:34.0244623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:34.0247536Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_getsetitem.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 10:09:34.024337]
2025-12-04T10:09:34.7353404Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 10:09:34.735003][3432.207234793]
2025-12-04T10:09:34.7353951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:34.7357176Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.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 10:09:34.735439]
2025-12-04T10:09:37.3114321Z 
2025-12-04T10:09:37.3115385Z functorch/dim/test_getsetitem 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_getsetitem_1.1_bf905f8b249b8c5f_.log
2025-12-04T10:09:37.3116311Z Running 0 items in this shard:
2025-12-04T10:09:37.3116505Z 
2025-12-04T10:09:37.3116893Z Finished functorch/dim/test_getsetitem 1/1 ... [2025-12-04 10:09:37.311324][3434.783553408], took 0.05min
2025-12-04T10:09:37.3436962Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_getsetitem/functorch.dim.test_getsetitem-580f016216f715af.xml
2025-12-04T10:09:38.8943050Z 
2025-12-04T10:09:38.8944084Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_c6f24e620e7d6e0c_.log
2025-12-04T10:09:38.8944998Z Running 0 items in this shard:
2025-12-04T10:09:38.8945459Z 
2025-12-04T10:09:38.8945834Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 10:09:38.894233][3436.366465672], took 0.07min
2025-12-04T10:09:38.9260468Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-26b1b15f24514db4.xml
2025-12-04T10:09:39.6391338Z W1204 10:09:39.638000 37863 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:40.9899122Z Running test_hub 1/1 ... [2025-12-04 10:09:40.989556][3438.461788186]
2025-12-04T10:09:40.9899600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:40.9902361Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.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 10:09:40.989989]
2025-12-04T10:09:41.1718399Z W1204 10:09:41.171000 37891 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:42.5112980Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 10:09:42.510883][3439.983116389]
2025-12-04T10:09:42.5113886Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:42.5116269Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_opaque_obj_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 10:09:42.511282]
2025-12-04T10:09:44.8348931Z 
2025-12-04T10:09:44.8349942Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_8aba9af5b1e64860_.log
2025-12-04T10:09:44.8372348Z Running 100 items in this shard: test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes
2025-12-04T10:09:44.8393234Z 
2025-12-04T10:09:44.8393469Z Finished test_hub 1/1 ... [2025-12-04 10:09:44.834913][3442.307144966], took 0.06min
2025-12-04T10:09:44.8661651Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-6199840b4b7733ec.xml
2025-12-04T10:09:46.1704356Z 
2025-12-04T10:09:46.1705652Z test_opaque_obj_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_opaque_obj_v2_1.1_44a7b3813a76969e_.log
2025-12-04T10:09:46.1706739Z Running 0 items in this shard:
2025-12-04T10:09:46.1706935Z 
2025-12-04T10:09:46.1707201Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 10:09:46.170411][3443.642640263], took 0.06min
2025-12-04T10:09:46.2017804Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_opaque_obj_v2/test_opaque_obj_v2-877bacb543523c64.xml
2025-12-04T10:09:47.1900328Z W1204 10:09:47.189000 38135 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:48.5023739Z W1204 10:09:48.501000 38247 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:48.5364851Z Running test_type_hints 1/1 ... [2025-12-04 10:09:48.536095][3446.008327733]
2025-12-04T10:09:48.5365734Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:48.5369008Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.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 10:09:48.536540]
2025-12-04T10:09:49.8285869Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 10:09:49.828221][3447.300454105]
2025-12-04T10:09:49.8286488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:49.8288847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.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 10:09:49.828623]
2025-12-04T10:09:53.4613574Z 
2025-12-04T10:09:53.4614754Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_44919b09374bba94_.log
2025-12-04T10:09:53.4615752Z Running 0 items in this shard:
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2025-12-04T10:09:53.4616343Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 10:09:53.461289][3450.933522091], took 0.06min
2025-12-04T10:09:53.4932751Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aot_joint_with_descriptors/functorch.test_aot_joint_with_descriptors-ffa3b3dc904c50bb.xml
2025-12-04T10:09:55.8132725Z W1204 10:09:55.812000 38491 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:09:57.1166432Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:09:57.116230][3454.588462108]
2025-12-04T10:09:57.1167001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:09:57.1169956Z 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 10:09:57.116688]
2025-12-04T10:10:00.9025772Z 
2025-12-04T10:10:00.9027096Z 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_2a5550400193de37_.log
2025-12-04T10:10:00.9028077Z Running 0 items in this shard:
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2025-12-04T10:10:00.9028708Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:10:00.902527][3458.374759764], took 0.06min
2025-12-04T10:10:00.9347478Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-749636507b48a379.xml
2025-12-04T10:10:03.3726371Z W1204 10:10:03.371000 38813 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:04.6488412Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 10:10:04.648480][3462.120712475]
2025-12-04T10:10:04.6489147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:04.6491705Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.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 10:10:04.648887]
2025-12-04T10:10:07.8158655Z 
2025-12-04T10:10:07.8159990Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_c47c75da103f382e_.log
2025-12-04T10:10:07.8161321Z Running 0 items in this shard:
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2025-12-04T10:10:07.8162180Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 10:10:07.815824][3465.288056203], took 0.05min
2025-12-04T10:10:07.8479041Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-d065ea93a6b69ac9.xml
2025-12-04T10:10:10.0723110Z W1204 10:10:10.071000 39087 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:11.3841648Z Running functorch/test_control_flow 1/1 ... [2025-12-04 10:10:11.383746][3468.855975734]
2025-12-04T10:10:11.3842671Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:11.3845886Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.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 10:10:11.384221]
2025-12-04T10:10:19.2867656Z 
2025-12-04T10:10:19.2868624Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_f08bad9310f4f9a5_.log
2025-12-04T10:10:19.2869485Z Running 0 items in this shard:
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2025-12-04T10:10:19.2870040Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 10:10:19.286713][3476.75894343], took 0.13min
2025-12-04T10:10:19.3382568Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-05e43e62ce4aa802.xml
2025-12-04T10:10:21.6757524Z W1204 10:10:21.674000 39553 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:22.9624643Z Running test_logging 1/1 ... [2025-12-04 10:10:22.962069][3480.434302349]
2025-12-04T10:10:22.9625128Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:22.9628236Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 10:10:22.962498]
2025-12-04T10:10:26.2576378Z 
2025-12-04T10:10:26.2577945Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_a62cca5b677bc623_.log
2025-12-04T10:10:26.2578699Z Running 0 items in this shard:
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2025-12-04T10:10:26.2579151Z Finished test_logging 1/1 ... [2025-12-04 10:10:26.257586][3483.72982036], took 0.05min
2025-12-04T10:10:26.2910945Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-bf868bb805ceb00f.xml
2025-12-04T10:10:28.5929774Z W1204 10:10:28.592000 39783 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:29.9184869Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 10:10:29.918117][3487.390348408]
2025-12-04T10:10:29.9185400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:29.9187912Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_lazy_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 10:10:29.918533]
2025-12-04T10:10:33.6672474Z 
2025-12-04T10:10:33.6673783Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_73eb6521e8d788db_.log
2025-12-04T10:10:33.6674965Z Running 0 items in this shard:
2025-12-04T10:10:33.6675266Z 
2025-12-04T10:10:33.6675756Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 10:10:33.667139][3491.139372838], took 0.06min
2025-12-04T10:10:33.7191479Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-c36fe2c698151a03.xml
2025-12-04T10:10:35.9883166Z W1204 10:10:35.987000 40105 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:37.2476462Z Running nn/test_pruning 1/1 ... [2025-12-04 10:10:37.247277][3494.719510008]
2025-12-04T10:10:37.2476958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:37.2479815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pruning.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 10:10:37.247696]
2025-12-04T10:10:40.9116090Z 
2025-12-04T10:10:40.9117047Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_a50898c8405bf210_.log
2025-12-04T10:10:40.9118096Z Running 0 items in this shard:
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2025-12-04T10:10:40.9118567Z Finished nn/test_pruning 1/1 ... [2025-12-04 10:10:40.911553][3498.383785243], took 0.06min
2025-12-04T10:10:40.9449372Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-e2bdd6764fc3c145.xml
2025-12-04T10:10:43.2107072Z W1204 10:10:43.210000 40379 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:44.5055593Z Running test_monitor 1/1 ... [2025-12-04 10:10:44.505158][3501.97739025]
2025-12-04T10:10:44.5056382Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:44.5058361Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_monitor.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 10:10:44.505574]
2025-12-04T10:10:47.7706760Z 
2025-12-04T10:10:47.7708088Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_6b7c6dd78cebade4_.log
2025-12-04T10:10:47.7708854Z Running 0 items in this shard:
2025-12-04T10:10:47.7709045Z 
2025-12-04T10:10:47.7709300Z Finished test_monitor 1/1 ... [2025-12-04 10:10:47.770609][3505.242842989], took 0.05min
2025-12-04T10:10:47.8040707Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-8234b87011652252.xml
2025-12-04T10:10:50.0401417Z W1204 10:10:50.039000 40689 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:51.3210728Z Running test_bundled_inputs 1/1 ... [2025-12-04 10:10:51.320730][3508.792961991]
2025-12-04T10:10:51.3211275Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:51.3214070Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_bundled_inputs.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 10:10:51.321123]
2025-12-04T10:10:54.6622003Z 
2025-12-04T10:10:54.6623444Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_c7ec70d24252181f_.log
2025-12-04T10:10:54.6624922Z Running 0 items in this shard:
2025-12-04T10:10:54.6625272Z 
2025-12-04T10:10:54.6625839Z Finished test_bundled_inputs 1/1 ... [2025-12-04 10:10:54.662101][3512.134334868], took 0.06min
2025-12-04T10:10:54.6960347Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-dc6eb8499ebbe120.xml
2025-12-04T10:10:57.0396695Z W1204 10:10:57.039000 40927 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:10:58.3080360Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:10:58.307627][3515.779858287]
2025-12-04T10:10:58.3080969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:10:58.3083517Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.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 10:10:58.308073]
2025-12-04T10:11:02.2367750Z 
2025-12-04T10:11:02.2369602Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_5a602b39719cb9aa_.log
2025-12-04T10:11:02.2370562Z Running 0 items in this shard:
2025-12-04T10:11:02.2370956Z 
2025-12-04T10:11:02.2371321Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:11:02.236738][3519.708970956], took 0.07min
2025-12-04T10:11:02.2706509Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-f4a30361c6ae75f1.xml
2025-12-04T10:11:02.7332657Z Uploading artifacts took 0.38 seconds
2025-12-04T10:11:04.6303375Z W1204 10:11:04.629000 41255 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:05.9135555Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:11:05.913199][3523.385432034]
2025-12-04T10:11:05.9136456Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:05.9138209Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_multiarray.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 10:11:05.913594]
2025-12-04T10:11:11.0111538Z 
2025-12-04T10:11:11.0112919Z torch_np/numpy_tests/core/test_multiarray 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_ccae51178c40ec5a_.log
2025-12-04T10:11:11.0114536Z Running 0 items in this shard:
2025-12-04T10:11:11.0114733Z 
2025-12-04T10:11:11.0115117Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:11:11.011075][3528.48330915], took 0.08min
2025-12-04T10:11:11.0668498Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_multiarray/torch_np.numpy_tests.core.test_multiarray-f2caff395799d3f4.xml
2025-12-04T10:11:13.3425826Z W1204 10:11:13.341000 41574 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:14.6426048Z Running test_itt 1/1 ... [2025-12-04 10:11:14.642212][3532.114445338]
2025-12-04T10:11:14.6426722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:14.6429330Z 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 10:11:14.642625]
2025-12-04T10:11:17.9190278Z 
2025-12-04T10:11:17.9191274Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_4ed38705243c155c_.log
2025-12-04T10:11:17.9192010Z Running 0 items in this shard:
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2025-12-04T10:11:17.9192450Z Finished test_itt 1/1 ... [2025-12-04 10:11:17.918922][3535.391155889], took 0.05min
2025-12-04T10:11:17.9528504Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-a2f01f01e59553d7.xml
2025-12-04T10:11:20.2149549Z W1204 10:11:20.214000 41851 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:21.5346950Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:11:21.534220][3539.006451937]
2025-12-04T10:11:21.5348092Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:21.5350758Z 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 10:11:21.534664]
2025-12-04T10:11:25.8782746Z 
2025-12-04T10:11:25.8784096Z 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_42cac1243ac34c6b_.log
2025-12-04T10:11:25.8786051Z Running 0 items in this shard:
2025-12-04T10:11:25.8786245Z 
2025-12-04T10:11:25.8786631Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:11:25.878197][3543.350429369], took 0.07min
2025-12-04T10:11:25.9131268Z 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-0429e458efe65e07.xml
2025-12-04T10:11:28.2466426Z W1204 10:11:28.245000 42173 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:29.6017507Z Running test_masked 1/1 ... [2025-12-04 10:11:29.601316][3547.073548083]
2025-12-04T10:11:29.6018005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:29.6020943Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_masked.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 10:11:29.601759]
2025-12-04T10:11:34.4554748Z 
2025-12-04T10:11:34.4555725Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_909c080d7fd43181_.log
2025-12-04T10:11:34.4556490Z Running 0 items in this shard:
2025-12-04T10:11:34.4556685Z 
2025-12-04T10:11:34.4556938Z Finished test_masked 1/1 ... [2025-12-04 10:11:34.455421][3551.927653846], took 0.08min
2025-12-04T10:11:34.4897947Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_masked/test_masked-4783e6487d3eacbd.xml
2025-12-04T10:11:36.8553457Z W1204 10:11:36.854000 42550 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:38.1779408Z Running test_sympy_utils 1/1 ... [2025-12-04 10:11:38.177573][3555.649806681]
2025-12-04T10:11:38.1779923Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:38.1782621Z 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 10:11:38.178011]
2025-12-04T10:11:42.1947789Z 
2025-12-04T10:11:42.1949124Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_caff9c4308a6b3e8_.log
2025-12-04T10:11:42.1950503Z Running 0 items in this shard:
2025-12-04T10:11:42.1950832Z 
2025-12-04T10:11:42.1951294Z Finished test_sympy_utils 1/1 ... [2025-12-04 10:11:42.194705][3559.666938291], took 0.07min
2025-12-04T10:11:42.2512319Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-9e01a6cb96fc1c23.xml
2025-12-04T10:11:44.4915424Z W1204 10:11:44.490000 42820 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:45.7770462Z Running test_subclass 1/1 ... [2025-12-04 10:11:45.776651][3563.248884088]
2025-12-04T10:11:45.7771353Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:45.7773918Z 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 10:11:45.777057]
2025-12-04T10:11:49.3013786Z 
2025-12-04T10:11:49.3015333Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_2946e020411dabe3_.log
2025-12-04T10:11:49.3016081Z Running 0 items in this shard:
2025-12-04T10:11:49.3016469Z 
2025-12-04T10:11:49.3016739Z Finished test_subclass 1/1 ... [2025-12-04 10:11:49.301288][3566.773521245], took 0.06min
2025-12-04T10:11:49.3372432Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-2bb705f439f4a94f.xml
2025-12-04T10:11:51.6753053Z W1204 10:11:51.674000 43058 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:11:53.0010191Z Running test_import_stats 1/1 ... [2025-12-04 10:11:53.000653][3570.472884964]
2025-12-04T10:11:53.0010690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:11:53.0013474Z 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 10:11:53.001078]
2025-12-04T10:11:56.3071233Z 
2025-12-04T10:11:56.3072179Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_871062e3df96c15d_.log
2025-12-04T10:11:56.3072954Z Running 0 items in this shard:
2025-12-04T10:11:56.3073152Z 
2025-12-04T10:11:56.3073423Z Finished test_import_stats 1/1 ... [2025-12-04 10:11:56.307043][3573.779276272], took 0.06min
2025-12-04T10:11:56.3422773Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-b0a02c75a60b01d0.xml
2025-12-04T10:11:58.6820858Z W1204 10:11:58.681000 43379 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:00.0019862Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:12:00.001610][3577.47384228]
2025-12-04T10:12:00.0020466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:00.0022847Z 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 10:12:00.002024]
2025-12-04T10:12:06.3486835Z 
2025-12-04T10:12:06.3488463Z 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_9ab4e7ea5bfc6cbf_.log
2025-12-04T10:12:06.3491415Z Running 0 items in this shard:
2025-12-04T10:12:06.3491712Z 
2025-12-04T10:12:06.3492306Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:12:06.348634][3583.820866587], took 0.11min
2025-12-04T10:12:06.3850814Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-5facb1e67e07230c.xml
2025-12-04T10:12:08.7350187Z W1204 10:12:08.734000 43798 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:10.0183610Z Running nn/test_parametrization 1/1 ... [2025-12-04 10:12:10.017939][3587.490171874]
2025-12-04T10:12:10.0184554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:10.0187751Z 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 10:12:10.018399]
2025-12-04T10:12:13.9521205Z 
2025-12-04T10:12:13.9522558Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_6da6d9b4fb997c78_.log
2025-12-04T10:12:13.9554860Z 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
2025-12-04T10:12:13.9586284Z 
2025-12-04T10:12:13.9586599Z Finished nn/test_parametrization 1/1 ... [2025-12-04 10:12:13.952191][3591.424423943], took 0.07min
2025-12-04T10:12:14.0194790Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-b2ecbc2d63ec00cd.xml
2025-12-04T10:12:16.3492064Z W1204 10:12:16.348000 44024 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:12:17.6086718Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 10:12:17.608323][3595.080555342]
2025-12-04T10:12:17.6087259Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:12:17.6089839Z 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 10:12:17.608722]
2025-12-04T10:24:52.2937862Z 
2025-12-04T10:24:52.2951083Z PRINTING LOG FILE of test_type_hints 1/1 (test/test-reports/test_type_hints_1.1_c043f951ed271746_.log)
2025-12-04T10:24:52.2952678Z W1204 10:09:50.186000 38312 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:24:52.2954710Z Test results will be stored in test-reports/python-pytest/test_type_hints/test_type_hints-9e648f2d23b8c7ee.xml
2025-12-04T10:24:52.2955803Z ============================= test session starts ==============================
2025-12-04T10:24:52.2956707Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T10:24:52.2957556Z cachedir: .pytest_cache
2025-12-04T10:24:52.2958490Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T10:24:52.2959564Z rootdir: /var/lib/jenkins/workspace
2025-12-04T10:24:52.2960059Z configfile: pytest.ini
2025-12-04T10:24:52.2971952Z 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
2025-12-04T10:24:52.2972948Z collecting ... collected 1 item
2025-12-04T10:24:52.2973336Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T10:24:52.2988174Z Running 50 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples
2025-12-04T10:24:52.3011855Z 
2025-12-04T10:24:52.3012473Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [29.9865s]   [  2%]
2025-12-04T10:24:52.3013706Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [17.0763s]   [  2%]
2025-12-04T10:24:52.3014990Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [16.8257s]   [  2%]
2025-12-04T10:24:52.3016105Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [16.8761s]   [  2%]
2025-12-04T10:24:52.3017371Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [16.8122s]   [  2%]
2025-12-04T10:24:52.3018479Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [17.4469s]   [  2%]
2025-12-04T10:24:52.3019511Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [16.8892s]   [  2%]
2025-12-04T10:24:52.3021013Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [16.7638s]   [  2%]
2025-12-04T10:24:52.3022033Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [19.7110s]   [  2%]
2025-12-04T10:24:52.3023012Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [20.9271s]   [  2%]
2025-12-04T10:24:52.3024022Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [19.0840s]   [  2%]
2025-12-04T10:24:52.3025010Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [19.7081s]   [  2%]
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2025-12-04T10:24:52.3053014Z test_type_hints.py::TestTypeHints::test_doc_examples 
2025-12-04T10:24:52.3054682Z FINISHED PRINTING LOG FILE of test_type_hints 1/1 (test/test-reports/test_type_hints_1.1_c043f951ed271746_.log)
2025-12-04T10:24:52.3055782Z 
2025-12-04T10:24:52.3114611Z Finished test_type_hints 1/1 ... [2025-12-04 10:24:52.308029][4349.777331463], took 15.06min
2025-12-04T10:24:57.3929688Z Uploading logs for 57118431063 to S3
2025-12-04T10:24:57.6553317Z Uploading artifacts took 3.76 seconds
2025-12-04T10:24:57.6578723Z test_type_hints 1/1 failed! Received signal: SIGKILL
2025-12-04T10:25:19.0263644Z W1204 10:25:19.025000 64039 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:25:22.4832912Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:25:22.482739][4379.954963223]
2025-12-04T10:25:22.4833825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:25:22.4841485Z 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 10:25:22.483452]
2025-12-04T10:25:28.9899823Z 
2025-12-04T10:25:28.9900963Z 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_0c678108a8e9b4f1_.log
2025-12-04T10:25:28.9902077Z Running 0 items in this shard:
2025-12-04T10:25:28.9902344Z 
2025-12-04T10:25:28.9902725Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:25:28.990002][4386.462230582], took 0.11min
2025-12-04T10:25:29.0036233Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-705e6b72fcbdd8ed.xml
2025-12-04T10:25:31.7703610Z W1204 10:25:31.769000 64520 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:25:33.1513333Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:25:33.150808][4390.623039463]
2025-12-04T10:25:33.1514414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:25:33.1517484Z 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 10:25:33.151291]
2025-12-04T10:25:55.7262680Z 
2025-12-04T10:25:55.7263972Z PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_2dec58e43f18c22a_.log)
2025-12-04T10:25:55.7265742Z W1204 10:25:37.251000 64585 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:25:55.7267326Z Test results will be stored in test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-9427f84788b14eb8.xml
2025-12-04T10:25:55.7268472Z ============================= test session starts ==============================
2025-12-04T10:25:55.7269381Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T10:25:55.7276510Z cachedir: .pytest_cache
2025-12-04T10:25:55.7295724Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T10:25:55.7297076Z rootdir: /var/lib/jenkins/workspace
2025-12-04T10:25:55.7297631Z configfile: pytest.ini
2025-12-04T10:25:55.7298782Z 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
2025-12-04T10:25:55.7300079Z collecting ... collected 378 items
2025-12-04T10:25:55.7300747Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T10:25:55.7331007Z 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
2025-12-04T10:25:55.7361574Z 
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2025-12-04T10:25:55.7426555Z 
2025-12-04T10:25:55.7426768Z =================================== FAILURES ===================================
2025-12-04T10:25:55.7427613Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.7428552Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.7429483Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.7430701Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.7435150Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.7439404Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.7440750Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.7442265Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.7443759Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.7445197Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.7446823Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.7448446Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7449890Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.7451399Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.7452953Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.7454407Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.7455909Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.7457542Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7459186Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.7461012Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7462542Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.7464119Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7465679Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.7467262Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7468860Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.7470319Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7471806Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.7473337Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.7474693Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.7475928Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.7477200Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.7478793Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.7480198Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.7482440Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7484722Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.7486570Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.7488909Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7491768Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7496160Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7500454Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7502883Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.7506950Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7510265Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.7514416Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7518326Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7520603Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.7522651Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7525039Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7527418Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7529783Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7532606Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.7536142Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.7538586Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.7539908Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.7541118Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.7542104Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.7543041Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.7544430Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.7548975Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.7553641Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.7555089Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.7556672Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.7558185Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.7559778Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.7561493Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.7563285Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7564738Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.7566213Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.7567745Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.7569299Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.7570958Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.7572585Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7574140Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.7575830Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7577450Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.7579320Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7580838Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.7582379Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7583872Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.7585357Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7586691Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.7588080Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.7589526Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.7590757Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.7592026Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.7593396Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.7594752Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.7597213Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7599770Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.7601660Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.7604133Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7606953Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7611178Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7615352Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7617979Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.7620457Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7623639Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.7878962Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7883656Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7886249Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.7888662Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7891204Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7893691Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7896403Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7899574Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.7903338Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.7905860Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.7907347Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.7908765Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.7909849Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.7910813Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.7912164Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.7917294Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.7922578Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.7924148Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.7925779Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.7927410Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.7928995Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.7930727Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.7932447Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7934067Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.7935679Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.7937411Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.7939030Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.7940712Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.7942376Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7944059Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.7945865Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7947583Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.7949306Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7950945Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.7952604Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7954240Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.7955860Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.7957465Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.7958992Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.7960388Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.7961704Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.7963121Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.7964621Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.7966213Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.7968719Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7971346Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.7973396Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.7975993Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7979405Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7984025Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7988729Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.7991511Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.7994455Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.7998046Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8002772Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8007347Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8009893Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8012035Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8014594Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8017236Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8019793Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8022976Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8026537Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8028950Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8030426Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8031839Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8032903Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8033880Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8035295Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8040349Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8045628Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8047175Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8048773Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8050406Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8051992Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8053707Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8055432Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8057050Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8058691Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8060300Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8061908Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8063586Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8065345Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8067003Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8068689Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8070437Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8072146Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8073744Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8075381Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8077027Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8078825Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8080416Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8082024Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8083561Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8084859Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8086196Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8087622Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8089199Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8091836Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8094464Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8096533Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8099105Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8102293Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8106881Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8111418Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8114338Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8117135Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8120710Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8125475Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8129996Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8132542Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8134749Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8137284Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8139793Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8142439Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8145607Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8149214Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8151659Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8153075Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8154488Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8155434Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8156326Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8157551Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8162276Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8166692Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8168069Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8169420Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8170747Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8172082Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8173630Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8175151Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8176697Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8178423Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8180071Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8181619Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8183137Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8184709Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8186297Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8188145Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8189832Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8191482Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8193014Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8194582Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8196179Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8197761Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8199261Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8200751Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8202182Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8203410Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8204623Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8206098Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8207597Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8209987Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8212475Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8214422Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8216836Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8219895Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8224280Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8228718Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8231338Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8234167Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8237600Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8242123Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8246464Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8248919Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8250936Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8253367Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8255795Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8258004Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8260833Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8264252Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8266618Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8268018Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8269430Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8270442Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8271303Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8272613Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8277291Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8283376Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8284913Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8286376Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8287844Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8289328Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8290939Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8292320Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8293672Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8295163Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8296553Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8297958Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8299531Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8301328Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8302910Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8304474Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8306111Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8307758Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8309296Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8310837Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8312378Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8313952Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8315513Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8316978Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8318436Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8319730Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8321003Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8322501Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8323974Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8326568Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8328823Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8330356Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8332382Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8334948Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8339409Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8343788Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8346591Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8349349Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8352916Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8357513Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8362192Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8364761Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8366962Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8369198Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8371599Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8374041Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8376961Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8380398Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8382699Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8383911Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8385115Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8385975Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8386756Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8387824Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8392493Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8397493Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8399033Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8400448Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8401929Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8403395Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8404929Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8406603Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8408008Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8409491Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8411076Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8412542Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8414004Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8415528Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8417137Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8418970Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8420599Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8422199Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8423781Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8425273Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8426807Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8428137Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8429393Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8430637Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8431827Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8432998Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8434246Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8435678Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8437226Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8439588Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8442210Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8444069Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8446449Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8449183Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8453134Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8457181Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8459539Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8462075Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8465061Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8469162Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8473489Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8476033Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8478286Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8480788Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8483371Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8485822Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8488946Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8492645Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8495181Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8496582Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8498018Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8499104Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8499955Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8500996Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8504470Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8507714Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8508765Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8509843Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8510897Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8512059Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8513405Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8514755Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8515927Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8517095Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8518266Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8519427Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8520703Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8522014Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8523229Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8524441Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8525662Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8526897Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8528072Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8529264Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8530425Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8531614Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8532767Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8533881Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8534962Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8535924Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8536880Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8537912Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8539026Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8540910Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8542798Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8544259Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8546095Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8548420Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8551682Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8554920Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8556960Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8558952Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8561452Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8564842Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8568067Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8569899Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8571536Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8573364Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8575126Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8577040Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8579497Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8582216Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8584034Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8585153Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8586173Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8587026Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8587789Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8588730Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8592055Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8595449Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8596482Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8597552Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8598593Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8599655Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8600794Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8602030Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8603072Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8604129Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8605332Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8606383Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8607465Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8608562Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8609800Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8610902Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8612010Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8613140Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8614219Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8615304Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8616360Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8617452Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8618602Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8619695Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8620705Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8621881Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8623003Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8624185Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8625380Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8627342Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8629397Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8631112Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8633358Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8636277Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8640507Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8644957Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8647587Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8650346Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8653673Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8657947Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8662071Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8664265Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8666006Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8668226Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8670526Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8672563Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8675439Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8678865Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8680956Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8682255Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8683378Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8684321Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8685142Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8686391Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8690984Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8695654Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8697132Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8698548Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8699951Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8701316Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8702926Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8704498Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8705942Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8707322Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8708682Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8710153Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8711753Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8713227Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8714772Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8716252Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8717948Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8719473Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8721023Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8722591Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8724031Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8725488Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8726903Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8728306Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8729662Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8730756Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8732025Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8733311Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8734728Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8737168Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8739619Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8741458Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8743781Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8746616Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8750860Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8755052Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8757682Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8760292Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8763699Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8767837Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8771964Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8774428Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8776415Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8778931Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8781151Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8783605Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8786472Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8789864Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8792104Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8793377Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8794646Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8795528Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8796321Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8797414Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8801409Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8804956Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8805963Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8807026Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8808081Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8809124Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8810272Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8811422Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8812569Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8813829Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8815201Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8816391Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8817608Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8818802Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8820122Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8821343Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8822582Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8823801Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8824985Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8826164Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8827343Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8828509Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8829663Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8830777Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8831791Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8832725Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8833682Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8834796Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8835944Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8837719Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8839603Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8841071Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8843010Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8845328Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8848559Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8851952Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8853925Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8856014Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8858552Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8861809Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8865019Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8866825Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8868345Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8870159Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8872009Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8873824Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8876077Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8878968Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8880765Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8881917Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8882952Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8883742Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8884486Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8885677Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8889593Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8893025Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8894048Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8895119Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8896188Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8897254Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8898368Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.8899511Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8900558Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.8901619Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.8902666Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.8903725Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.8904947Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.8906042Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8907125Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.8908274Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8909405Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.8910534Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8911585Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.8912664Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8913739Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.8914822Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.8915844Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.8916855Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.8917862Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.8918740Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.8919592Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8920562Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.8921595Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.8923429Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8925299Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.8926718Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.8928657Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8931314Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8935209Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8939261Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8941718Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.8944028Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8946962Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.8950923Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8955207Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.8957592Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.8959686Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8962045Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8964574Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8967250Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.8970121Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8973720Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.8976128Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.8977988Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.8979256Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.8980254Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.8981194Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.8982526Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.8987314Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.8992103Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.8993618Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.8995198Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.8996740Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.8998245Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.8999877Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9001297Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9002763Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9004283Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9005934Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9007471Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9009086Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9010694Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9012456Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9013952Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9015420Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9016897Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9018372Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9019952Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9021521Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9023112Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9024585Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9026007Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9027201Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9028393Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9029462Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9030758Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9032082Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9034365Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9036737Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9038703Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9041147Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9044286Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9048273Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9052741Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9055481Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9058059Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9060849Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9064897Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9069084Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9071434Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9073348Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9075595Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9078295Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9080778Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9083952Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9087569Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9089873Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9091252Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9092588Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9093657Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9094483Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9095927Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9100682Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9105313Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9106833Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9108307Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9109809Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9111266Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9112880Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9114429Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9115709Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9116993Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9118439Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9120018Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9121939Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9123435Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9125129Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9126657Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9128158Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9129721Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9131282Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9132526Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9134073Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9135633Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9137198Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9138685Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9140171Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9141390Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9142500Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9143665Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9145096Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9147632Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9150051Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9151940Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9154338Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9157379Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9161616Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9165767Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9167938Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9169960Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9172556Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9175892Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9179372Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9181214Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9182905Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9184728Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9186532Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9188460Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9190737Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9193433Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9195244Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9196308Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9197337Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9198128Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9198842Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9199833Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9203638Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9207325Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9208452Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9209619Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9210767Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9211932Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9213158Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9214356Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9215466Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9216582Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9217804Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9218908Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9220076Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9221243Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9222494Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9223643Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9224841Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9226034Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9227170Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9228296Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9229436Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9230576Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9231677Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9232734Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9233707Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9234634Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9235555Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9236581Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9237673Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9239404Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9241222Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9242747Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9244546Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9246797Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9250008Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9253201Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9255115Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9257112Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9259684Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9263020Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9266289Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9268126Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9269653Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9271467Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9273289Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9275109Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9277380Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9280237Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9282100Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9283157Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9284177Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9284956Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9285671Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9286717Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9290497Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9294100Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9295227Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9296396Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9297553Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9298714Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9299950Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9301196Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9302371Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9303490Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9304622Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9305743Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9307020Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9308192Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9309363Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9310557Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9311750Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9312955Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9314104Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9315255Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9316387Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9317539Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9318648Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9319735Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9320750Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9321690Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9322684Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9323700Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9324799Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9326669Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9328517Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9329953Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9331742Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9334019Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9337228Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9340431Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9342432Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9344379Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9346866Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9349991Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9352326Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9353658Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9354809Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9356121Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9357406Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9358767Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9360402Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9362395Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9363707Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9364507Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9365239Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9365818Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9366349Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9367061Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9369664Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9372278Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9373103Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9373954Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9374799Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9375628Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9376525Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9377435Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9378463Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9379296Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9380233Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9381074Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9381967Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9382836Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9383812Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9384695Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9385593Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9386494Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9387359Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9388213Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9389065Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9389914Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9404415Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9405375Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9406131Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9406830Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9407516Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9408433Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9409262Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9410571Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9411911Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9412972Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9414301Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9416005Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9418343Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9420704Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9422108Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9423610Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9425451Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9427824Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9430148Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9431463Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9432567Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9433878Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9435259Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9436571Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9438205Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9440123Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9441399Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9442357Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9443094Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9443687Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9444205Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9444962Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9447631Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9450178Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9451005Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9451833Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9452679Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9453564Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9454457Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9455341Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9456179Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9457017Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9457859Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9458684Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9459627Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9460496Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9461367Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9462226Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9463121Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9464019Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9464868Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9465710Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9466560Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9467412Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9468236Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9469023Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9469793Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9470491Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9471180Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9471907Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9472727Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9474097Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9475448Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9476489Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9478075Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9479750Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9482162Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9484504Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9486023Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9487446Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9489285Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9491656Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9493986Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9495311Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9496480Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9497777Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9499121Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9500523Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9502149Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9504073Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9505377Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9506146Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9506892Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9507466Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9507984Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9508693Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9511335Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9513929Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9514750Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9515597Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9516423Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9517263Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9518160Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9519044Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9519877Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9520712Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9521591Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9522495Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9523365Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9524237Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9525342Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9526204Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9527095Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9527990Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9528835Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9529669Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9530512Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9531362Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9532188Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9532970Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9533697Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9534387Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9535076Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9535851Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9536669Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9537953Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9539296Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9540333Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9541670Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9543326Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9545654Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9548011Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9549431Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9550917Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9552733Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9555098Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9557417Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9558735Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9559845Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9561155Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9562602Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9563918Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9565540Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9567460Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9568744Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9569510Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9570251Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9570822Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9571386Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9572075Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9574734Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9577280Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9578637Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9579607Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9580437Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9581277Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9582164Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9583059Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9583880Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9584717Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9585927Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9586770Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9587721Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9588587Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9589463Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9590336Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9591221Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9592119Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9592962Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9593804Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9594637Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9595479Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9596297Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9597091Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9597880Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9598572Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9599269Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9600011Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9600820Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9602282Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9603653Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9604710Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9606032Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9607688Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9610027Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9612333Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9613786Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9615219Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9617029Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9619387Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9621698Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9623010Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9624143Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9625451Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9626723Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9628083Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9629714Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9631638Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9632932Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9633708Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9634432Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9635002Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9635526Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9636222Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9638816Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9641416Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9642313Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9643657Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9644502Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9645331Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9646223Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9647124Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9647946Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9648787Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9649699Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9650541Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9651403Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9652276Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9653215Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9654096Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9654978Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9655878Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9656727Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9657587Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9658430Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9659288Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9660125Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9660930Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9661646Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9662351Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9663093Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9663834Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9664642Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9665932Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9667280Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9668332Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9669666Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9671313Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9673665Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9676076Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9677496Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9679364Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9681209Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9683633Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9685947Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9687256Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9688360Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9689677Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9691050Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9692343Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9693970Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9695899Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9697188Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9697962Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9698686Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9699265Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9699860Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9700564Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9703210Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9705759Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9706576Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9707417Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9708256Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9709079Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9709967Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9710863Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9711700Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9712523Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9713364Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9714198Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9715107Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9715965Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9716833Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9717706Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9718600Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9719479Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9720335Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9721180Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9722109Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9722948Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9723776Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9724576Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9725345Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9726021Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9726718Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9727459Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9728284Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9729616Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9730964Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9732018Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9733349Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9735018Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9737352Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9739665Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9741119Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9742547Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9744384Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9746739Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9749063Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9750362Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9751506Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9752819Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9754101Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9755454Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9757063Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9758975Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9760261Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9761039Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9761836Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9762391Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9762913Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9763617Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9766216Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9768807Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9769608Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9770453Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9771294Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9772129Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9773006Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9773906Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9774739Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9775572Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9776432Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9777260Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9778335Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9779207Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9780186Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9781058Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9781954Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9782856Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9783695Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9784545Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9785394Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9786239Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9787047Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9787848Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9788583Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9789277Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9790005Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9790741Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9791562Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9792847Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9794181Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9795230Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9796562Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9798221Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9800554Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9802995Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9804410Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9805916Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9807742Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9810097Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9812414Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9813722Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9814809Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9816118Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9817441Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9818743Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9820370Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9822287Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9823577Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9824356Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9825088Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9825650Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9826222Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9827115Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9829859Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9832413Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9833220Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9834062Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9834902Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9835744Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9836631Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9837526Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9838379Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9839220Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9840048Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9840882Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9841885Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9842765Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9843629Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9844503Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9845401Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9846306Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9847144Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9848005Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9848868Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9849731Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9850544Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9851354Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9852142Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9852843Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9853522Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9854269Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9855092Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9856440Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9857772Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9858816Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9860146Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9861798Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9864148Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9866464Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9867890Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9869323Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9871151Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9873517Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9875829Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9877139Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9878427Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9879732Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9881018Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9882532Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9884165Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9886073Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9887345Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9888131Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9888869Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9889435Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9889945Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9890648Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9893263Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9895872Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9896695Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9897521Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9898365Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9899207Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9900098Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9900986Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9901817Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9902655Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9903537Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9904352Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9905218Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9906079Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9907010Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9907863Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9908754Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9909648Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9910497Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9911337Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9912184Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9913027Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9913845Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9914632Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9915356Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9916047Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9916771Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9917496Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9918313Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9919597Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9920937Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9922049Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9923383Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9925038Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9927376Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9929761Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9931180Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9932668Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9934525Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:55.9936874Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9939196Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9940503Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:55.9941600Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9942891Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9944233Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9945539Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9947163Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9949086Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:55.9950379Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9951146Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:55.9951890Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:55.9952464Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:55.9953025Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:55.9953738Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:55.9956415Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:55.9958962Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:55.9959785Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:55.9960615Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:55.9961463Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:55.9962380Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:55.9963278Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:55.9964168Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9965005Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:55.9965849Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:55.9966696Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:55.9967518Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:55.9968443Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:55.9969312Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9970189Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:55.9971043Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9971939Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:55.9972837Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9973681Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:55.9974519Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9975362Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:55.9976215Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:55.9977038Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:55.9978123Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:55.9978858Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:55.9979557Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:55.9980263Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:55.9980989Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:55.9981811Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:55.9983227Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9984586Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:55.9985625Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:55.9986956Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9988620Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9990964Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9993280Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:55.9994751Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:55.9996166Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:55.9997994Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0000355Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0002744Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0004060Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0005216Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0006525Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0007794Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0009150Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0010785Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0012698Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0013982Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0014749Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0015484Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0016044Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0016571Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0017257Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0019871Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0022434Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0023248Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0024090Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0024918Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0025753Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0026643Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0027535Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0028353Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0029433Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0030274Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0031109Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0031964Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0032834Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0033764Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0034631Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0035509Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0036402Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0037251Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0038104Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0038937Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0039781Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0040603Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0041399Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0042183Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0042874Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0043602Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0044341Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0045141Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0046441Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0047791Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0048839Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0050157Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0051821Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0054146Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0056502Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0057922Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0059410Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0061237Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0063598Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0065911Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0067228Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0068340Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0069657Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0070977Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0072286Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0073925Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0075842Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0077129Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0078103Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0078831Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0079407Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0080018Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0080709Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0082992Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0083336Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0083704Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0084064Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0084430Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0084784Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0085193Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0085565Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0085911Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0086281Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0086629Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0086976Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0087417Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0087772Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0088172Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0088527Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0088941Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0089311Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0089672Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0090040Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0090400Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0090753Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0091104Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0091465Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0091745Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0092041Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0092306Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0092663Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0093008Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0093886Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0094299Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0094810Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0095514Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0096352Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0097743Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0098571Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0099088Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0099926Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0100804Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0102174Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0103016Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0103379Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0104037Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0104611Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0105186Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0105850Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0106756Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0107663Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0107935Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0108326Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0108558Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0108765Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0108977Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0109352Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0111454Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0111833Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0112196Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0112557Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0112908Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0113280Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0113688Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0114056Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0114403Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0114798Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0115162Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0115512Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0115909Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0116263Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0116714Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0117078Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0117485Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0117848Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0118207Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0118559Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0118930Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0119285Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0119635Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0119970Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0120235Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0120545Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0120846Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0121187Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0121544Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0122439Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0122864Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0123375Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0124082Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0124923Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0126319Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0127200Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0127665Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0128575Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0129442Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0130827Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0131660Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0132036Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0132644Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0133234Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0133848Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0134461Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0135364Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0136262Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0136542Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0136922Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0137167Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0137373Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0137596Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0137990Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0140141Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0140500Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0140858Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0141232Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0141584Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0141940Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0142359Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0142718Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0143079Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0143439Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0143788Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0144151Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0144574Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0144938Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0145324Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0145675Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0146095Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0146448Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0146827Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0147180Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0147543Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0147911Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0148250Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0148625Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0148892Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0149185Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0149462Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0149809Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0150185Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0151107Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0151523Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0152049Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0152744Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0153603Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0154981Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0155823Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0156320Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0157181Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0158055Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0159430Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0160265Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0160632Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0161282Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0161930Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0162527Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0163197Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0164119Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0165013Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0165297Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0165678Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0165914Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0166135Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0166334Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0166712Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0168839Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0169230Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0169583Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0169946Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0170313Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0170672Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0171098Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0171457Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0171808Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0172209Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0172557Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0172908Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0173309Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0173663Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0174114Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0174469Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0174879Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0175241Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0175600Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0175967Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0176330Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0176685Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0177033Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0177363Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0177860Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0178159Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0178545Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0178907Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0179252Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0180081Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0180496Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0181023Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0181714Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0182552Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0183939Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0184819Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0185299Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0186217Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0187099Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0188469Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0189312Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0189673Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0190293Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0190870Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0191476Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0192089Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0192994Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0193897Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0194167Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0194557Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0194788Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0194996Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0195231Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0195608Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0198256Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0198603Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0198969Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0199330Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0199680Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0200052Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0200463Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0200839Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0201186Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0201549Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0201976Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0202333Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0202769Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0203123Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0203509Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0203879Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0204291Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0204660Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0205025Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0205379Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0205751Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0206107Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0206457Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0206830Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0207095Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0207400Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0207666Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0208019Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0208361Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0209227Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0209655Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0210166Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0210874Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0211707Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0213089Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0213915Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0214431Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0215268Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0216134Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0217516Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0218344Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0218719Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0219358Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0219949Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0220581Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0221192Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0222091Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0222991Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0223261Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0223638Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0223878Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0224085Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0224280Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0224669Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0226782Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0227170Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0227521Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0227889Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0228240Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0228593Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0229015Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0229371Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0229727Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0230115Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0230465Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0230830Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0231216Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0231579Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0232024Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0232378Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0232799Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0233152Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0233531Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0233888Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0234254Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0234622Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0234962Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0235305Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0235568Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0235862Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0236176Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0236518Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0236873Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0237686Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0238100Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0238620Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0239313Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0240165Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0241544Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0242489Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0242958Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0243868Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0244740Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0246124Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0246951Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0247340Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0247952Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0248584Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0249182Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0249781Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0250701Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0251591Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0251875Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0252256Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0252488Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0252714Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0252950Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0253346Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0255503Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0255858Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0256210Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0256568Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0256937Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0257294Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0257724Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0258086Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0258433Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0258807Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0259161Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0259526Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0259953Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0260308Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0260710Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0261063Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0261488Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0261842Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0262206Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0262576Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0262943Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0263315Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0263656Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0264035Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0264315Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0264611Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0264891Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0265235Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0265579Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0266464Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0266883Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0267406Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0268099Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0268936Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0270329Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0271155Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0271676Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0272511Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0273393Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0274760Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0275601Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0275966Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0276620Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0277198Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0278109Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0278712Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0279611Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0280511Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0280780Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0281175Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0281407Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0281614Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0281938Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0282321Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0284437Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0284838Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0285202Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0285562Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0285911Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0286280Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0286690Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0287059Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0287405Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0287816Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0288177Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0288528Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0288924Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0289279Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0289731Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0290097Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0290507Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0290873Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0291235Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0291589Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0291965Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0292315Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0292669Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0293002Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0293271Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0293581Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0293872Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0294230Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0294579Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0295391Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0295817Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0296328Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0297035Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0297877Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0299267Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0300125Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0300607Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0301504Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0302371Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0303755Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0304586Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0304958Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0305565Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0306182Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0306757Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0307365Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0308265Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0309174Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0309442Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0309823Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0310065Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0310269Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0310501Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0310878Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0313020Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0313373Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0313724Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0314095Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0314444Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0314811Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0315219Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0315574Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0315932Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0316292Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0316658Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0317008Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0317420Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0317785Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0318173Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0318537Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0318947Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0319298Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0319670Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0320026Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0320398Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0320757Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0321095Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0321464Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0321728Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0322121Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0322386Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0322728Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0323139Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0323948Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0324373Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0324884Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0325578Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0326427Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0327800Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0328639Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0329134Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0329984Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0330850Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0332232Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0333058Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0333435Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0334330Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0334909Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0335560Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0336157Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0337066Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0337957Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0338239Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0338618Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0338883Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0339100Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0339294Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0348934Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0351166Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0351617Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0351992Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0352356Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0352721Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0353080Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0353493Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0353864Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0354216Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0354622Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0354973Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0355326Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0355728Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0356083Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0356545Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0356903Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0357315Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0357683Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0358047Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0358417Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0358779Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0359133Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0359489Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0359824Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0360104Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0360398Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0360688Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0361043Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0361391Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0362338Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0362752Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0363264Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0363971Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0364813Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0366202Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0367062Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0367544Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0368429Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0369311Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0370674Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0371520Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0371882Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0372504Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0373114Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0373692Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0374303Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0375207Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0376113Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0376383Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0376778Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0377011Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0377226Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0377465Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0378050Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0380289Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0380635Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0381001Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0381363Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0381724Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0382092Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0382504Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0382877Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0383229Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0383593Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0383959Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0384313Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0384798Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0385153Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0385549Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0385920Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0386331Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0386698Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0387061Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0387416Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0387795Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0388152Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0388502Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0388939Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0389205Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0389557Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0389824Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0390171Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0390600Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0391418Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0391847Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0392358Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0393061Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0393906Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0395289Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0396126Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0396655Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0397515Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0398391Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0399777Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0400608Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0401040Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0401645Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0402330Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0402979Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0403596Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0404493Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0405385Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0405672Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0406050Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0406297Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0406515Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0406715Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0407107Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0409216Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0409624Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0409976Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0410352Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0410705Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0411062Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0411487Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0411850Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0412209Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0412605Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0412957Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0413323Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0413710Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0414076Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0414521Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0414874Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0415298Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0415650Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0416032Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0416385Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0416747Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0417112Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0417452Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0417798Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0418066Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0418361Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0418669Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0419010Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0419370Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0420179Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0420589Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0421113Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0421800Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0422647Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0424028Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0424905Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0425373Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0426280Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0427148Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0428533Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0429362Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0429738Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0430346Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0430977Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0431572Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0432171Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0433085Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0433985Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0434271Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0434652Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0434885Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0435106Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0435338Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0435736Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0437895Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0438251Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0438605Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0438964Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0439341Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0439696Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0440118Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0440475Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0440838Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0441211Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0441560Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0442040Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0442481Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0442834Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0443234Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0443591Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0444018Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0444374Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0444742Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0445113Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0445472Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0445843Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0446180Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0446545Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0446823Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0447119Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0447383Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0447741Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0448138Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0448963Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0449375Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0449898Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0450592Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0451429Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0452827Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0453657Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0454167Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0455004Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0455885Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0457255Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0458091Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0458511Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0459126Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0459708Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0460352Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0460947Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0461847Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0462752Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0463025Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0463412Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0463645Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0463854Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0464064Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0464443Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0466568Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0466941Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0467303Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0467660Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0468009Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0468373Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0468780Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0469151Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0469498Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0469886Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0470247Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0470597Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0470994Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0471345Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0471800Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0472169Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0472576Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0472943Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0473308Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0473659Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0474035Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0474391Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0474742Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0475074Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0475340Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0475650Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0475952Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0476306Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0476651Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0477460Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0478076Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0478592Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0479298Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0480135Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0481532Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0482497Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0482990Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0483907Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0484773Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0486150Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0486977Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0487353Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0487958Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0488587Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0489168Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0489873Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0490865Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0491776Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0492047Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0492427Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0492669Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0492882Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0493130Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0493507Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0495653Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0496008Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0496363Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0496737Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0497092Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0497456Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0497866Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0498222Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0498581Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0498940Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0499303Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0499655Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0500070Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0500455Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0501031Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0501403Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0501815Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0502167Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0502542Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0502895Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0503267Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0503623Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0503960Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0504350Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0504616Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0504910Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0505188Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0505531Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0505948Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0506762Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0507191Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0507700Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0508389Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0509245Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0510620Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0511463Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0511964Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0512818Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0513683Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0515066Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0515890Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0516292Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0516897Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0517476Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0518133Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0518729Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0519642Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0520538Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0520821Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0521202Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0521435Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0521665Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0521960Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0522358Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0524483Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0524951Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0525307Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0525676Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0526049Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0526405Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0526841Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0527200Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0527551Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0527999Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0528351Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0528717Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0529105Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0529460Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0529908Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0530263Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0530689Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0531042Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0531410Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0531774Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0532137Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0532523Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0532967Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0533297Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0533589Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0533885Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0534208Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0534551Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0534903Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0535728Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0536143Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0536669Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0537361Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0538216Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0539582Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0540463Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0540935Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0541820Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0542712Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0544092Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0544935Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0545303Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0545922Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0546543Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0547138Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0547734Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0548636Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0549547Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0549814Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0550208Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0550447Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0550707Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0550904Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0551280Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0553538Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0553887Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0554256Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0554616Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0554982Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0555338Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0555754Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0556123Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0556472Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0556842Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0557190Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0557579Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0557983Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0558336Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0558736Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0559087Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0559496Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0559862Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0560223Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0560591Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0560956Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0561311Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0561660Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0562167Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0562436Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0562746Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0563012Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0563368Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0563798Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0564608Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0565035Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0565547Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0566251Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0567098Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0568492Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0569318Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0569848Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0570676Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0571563Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0572939Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0573789Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0574191Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0574799Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0575393Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0576026Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0576631Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0577531Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0578694Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0578964Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0579347Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0579590Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0579801Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0580012Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0580391Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0582594Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0582936Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0583287Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0583660Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0584014Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0584381Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0584793Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0585151Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0585513Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0585930Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0586291Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0586642Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0587025Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0587387Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0587852Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0588220Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0588628Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0588984Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0589360Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0589713Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0590090Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0590444Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0590779Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0591123Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0591387Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0591692Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0592013Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0592355Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0592716Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0593529Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0593954Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0594463Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0595154Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0596010Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0597380Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0598253Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0598774Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0599617Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0600478Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0601935Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0602771Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0603154Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0603760Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0604413Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0604991Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0605592Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0606505Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0607405Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0607689Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0608072Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0608324Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0608575Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0608770Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0609161Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0611343Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0611703Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0612056Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0612419Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0612784Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0613136Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0613564Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0613920Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0614265Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0614637Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0614986Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0615395Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0615780Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0616133Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0616530Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0616886Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0617308Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0617662Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0618026Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0618391Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0618760Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0619128Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0619470Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0619843Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0620122Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0620416Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0620696Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0621037Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0621435Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0622259Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0622670Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0623190Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0623890Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0624741Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0626115Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0626955Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0627452Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0628301Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0629169Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0630549Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0631373Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0631767Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0632386Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0632967Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0633606Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0634206Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0635122Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0636015Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0636299Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0636677Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0636908Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0637128Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0637322Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0637704Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0639866Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0640205Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0640569Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0640932Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0641300Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0641653Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0642158Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0642530Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0642877Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0643319Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0643672Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0644027Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0644429Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0644852Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0645251Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0645604Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0646015Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0646383Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0646745Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0647111Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0647475Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0647826Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0648176Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0648509Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0648788Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0649079Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0649371Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0649726Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0650072Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0650896Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0651310Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0651821Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0652524Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0653368Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0654743Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0655614Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0656149Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0656989Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0657871Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0659241Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0660080Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0660442Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0661056Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0661678Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0662259Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0662865Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0663763Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0664670Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0664939Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0665331Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0665565Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0665817Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0666023Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0666400Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0668574Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0668917Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0669285Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0669645Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0669998Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0670363Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0670778Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0671143Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0671492Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0671854Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0672213Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0672591Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0672988Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0673346Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0673731Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0674093Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0674502Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0674869Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0675236Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0675588Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0675964Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0676315Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0676664Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0677021Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0677288Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0677829Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0678134Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0678500Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0678971Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0679783Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0680212Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0680726Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0681432Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0682332Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0683724Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0684599Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0685071Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0685918Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0686782Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0688169Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0688994Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0689417Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0690021Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0690614Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0691260Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0691874Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0692776Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0693665Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0693950Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0694328Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0694569Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0694781Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0694977Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0695367Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0697500Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0697852Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0698205Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0698575Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0698925Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0699277Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0699703Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0700057Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0700415Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0700804Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0701151Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0701512Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0701900Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0702396Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0702784Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0703137Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0703561Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0703912Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0704290Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0704643Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0705007Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0705371Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0705706Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0706051Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0706316Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0706610Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0706915Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0707257Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0707618Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0708434Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0708846Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0709362Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0710060Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0710914Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0712290Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0713162Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0713677Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0714525Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0715398Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0716774Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0717602Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0717983Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0718588Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0719207Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0719798Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0720401Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0721309Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0722294Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0722584Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0722969Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0723199Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________
2025-12-04T10:25:56.0723457Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785
2025-12-04T10:25:56.0723650Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:25:56.0724041Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function:
2025-12-04T10:25:56.0726185Z V1204 10:25:53.001000 64585 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):
2025-12-04T10:25:56.0726539Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     def guard(L):
2025-12-04T10:25:56.0726891Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var0 = L['a']
2025-12-04T10:25:56.0727252Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var1 = _var0.size
2025-12-04T10:25:56.0727620Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var2 = _var1()
2025-12-04T10:25:56.0727971Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var3 = _var2[1]
2025-12-04T10:25:56.0728408Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var0.stride()[0] == _var3):
2025-12-04T10:25:56.0728765Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0729115Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var4 = L['b']
2025-12-04T10:25:56.0729489Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var5 = _var4.size
2025-12-04T10:25:56.0729839Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var6 = _var5()
2025-12-04T10:25:56.0730236Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         _var7 = _var2[0]
2025-12-04T10:25:56.0730621Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[0] == _var7):
2025-12-04T10:25:56.0730980Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0731379Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var6[1] == _var3):
2025-12-04T10:25:56.0731733Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0732160Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (_var4.stride()[0] == _var3):
2025-12-04T10:25:56.0732517Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0732885Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var7):
2025-12-04T10:25:56.0733252Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0733621Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         if not (0 <= _var3):
2025-12-04T10:25:56.0733988Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]             return False
2025-12-04T10:25:56.0734327Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]         return True
2025-12-04T10:25:56.0734706Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards]     return guard
2025-12-04T10:25:56.0734983Z V1204 10:25:53.001000 64585 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 
2025-12-04T10:25:56.0735281Z V1204 10:25:53.002000 64585 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS:
2025-12-04T10:25:56.0735559Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0735905Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER:
2025-12-04T10:25:56.0736299Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager
2025-12-04T10:25:56.0737126Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0737539Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
2025-12-04T10:25:56.0738067Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
2025-12-04T10:25:56.0738761Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0739607Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0740995Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0741867Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0742351Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'])
2025-12-04T10:25:56.0743194Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0744077Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94260614194112)  # <class 'torch.Tensor'>  # a.expand(b.shape)  # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func
2025-12-04T10:25:56.0745452Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0746303Z V1204 10:25:53.003000 64585 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
2025-12-04T10:25:56.0746701Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
2025-12-04T10:25:56.0747323Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0747905Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0748553Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0749151Z V1204 10:25:53.003000 64585 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)
2025-12-04T10:25:56.0750050Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0750959Z V1204 10:25:53.003000 64585 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>)
2025-12-04T10:25:56.0751229Z V1204 10:25:53.003000 64585 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 
2025-12-04T10:25:56.0751625Z V1204 10:25:53.031000 64585 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 67.09 us
2025-12-04T10:25:56.0752215Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-9427f84788b14eb8.xml -
2025-12-04T10:25:56.0752373Z =========================== short test summary info ============================
2025-12-04T10:25:56.0752692Z FAILED [14.3907s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0752977Z FAILED [0.0429s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0753299Z FAILED [0.0380s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0753575Z FAILED [0.0303s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0753848Z FAILED [0.0569s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0754138Z FAILED [0.0245s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0754411Z FAILED [0.0397s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0754698Z FAILED [0.0364s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0754971Z FAILED [0.0190s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0755243Z FAILED [0.0287s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0755531Z FAILED [0.0284s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0755804Z FAILED [0.0209s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0756077Z FAILED [0.0210s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0756368Z FAILED [0.0335s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0756641Z FAILED [0.0142s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0756925Z FAILED [0.0167s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0757242Z FAILED [0.0226s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0757518Z FAILED [0.0269s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0757807Z FAILED [0.0148s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0758082Z FAILED [0.0273s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0758372Z FAILED [0.0230s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0758647Z FAILED [0.0143s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0758982Z FAILED [0.0265s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0759270Z FAILED [0.0271s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0759543Z FAILED [0.0271s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0759818Z FAILED [0.0204s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0760103Z FAILED [0.0198s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0760374Z FAILED [0.0267s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0760662Z FAILED [0.0206s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0760936Z FAILED [0.0163s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0761209Z FAILED [0.0271s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0761496Z FAILED [0.0212s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0761868Z FAILED [0.0263s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0762169Z FAILED [0.0181s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0762443Z FAILED [0.0240s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0762718Z FAILED [0.0231s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0763043Z FAILED [0.0140s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0763319Z FAILED [0.0183s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0763592Z FAILED [0.0281s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0763883Z FAILED [0.0278s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0764155Z FAILED [0.0283s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0764440Z FAILED [0.0275s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0764715Z FAILED [0.0211s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0764990Z FAILED [0.0239s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0765273Z FAILED [0.0198s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0765550Z FAILED [0.0286s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0765836Z FAILED [0.0197s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0766110Z FAILED [0.0273s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0766387Z FAILED [0.0233s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0766674Z FAILED [0.0297s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs
2025-12-04T10:25:56.0766816Z ============================= 50 failed in 16.79s ==============================
2025-12-04T10:25:56.0766859Z 
2025-12-04T10:25:56.0767290Z FINISHED PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_2dec58e43f18c22a_.log)
2025-12-04T10:25:56.0767295Z 
2025-12-04T10:25:56.0767570Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:25:55.730820][4413.203040594], took 0.38min
2025-12-04T10:25:56.0768249Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-9427f84788b14eb8.xml
2025-12-04T10:25:56.4237950Z Uploading logs for 57118431063 to S3
2025-12-04T10:25:56.4765250Z Uploading artifacts took 0.54 seconds
2025-12-04T10:25:56.4765787Z test_dynamic_shapes 1/1 failed!
2025-12-04T10:25:58.4959540Z W1204 10:25:58.495000 65331 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:26:00.0074895Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:26:00.007031][4417.479262067]
2025-12-04T10:26:00.0075839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:00.0079146Z 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 10:26:00.007510]
2025-12-04T10:26:03.9108185Z 
2025-12-04T10:26:03.9109251Z 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_fd687c67af8a7bed_.log
2025-12-04T10:26:03.9109964Z 
2025-12-04T10:26:03.9110279Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:26:03.910706][4421.382938976], took 0.07min
2025-12-04T10:26:06.8755094Z W1204 10:26:06.874000 65605 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:26:08.3000168Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:26:08.299446][4425.771677462]
2025-12-04T10:26:08.3001345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:08.3004777Z 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 10:26:08.299959]
2025-12-04T10:26:12.5449604Z 
2025-12-04T10:26:12.5451672Z 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_4f797c1811901fc4_.log
2025-12-04T10:26:12.5453743Z Running 0 items in this shard:
2025-12-04T10:26:12.5454159Z 
2025-12-04T10:26:12.5454943Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:26:12.544895][4430.017122373], took 0.07min
2025-12-04T10:26:12.5863240Z 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-46ba9707641c89e0.xml
2025-12-04T10:26:15.8513380Z W1204 10:26:15.850000 65831 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:26:17.2414025Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:26:17.240856][4434.713086846]
2025-12-04T10:26:17.2414905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:17.2417895Z 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 10:26:17.241364]
2025-12-04T10:26:21.1461873Z 
2025-12-04T10:26:21.1463222Z 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_1a1bfe3989fbb233_.log
2025-12-04T10:26:21.1464657Z Running 0 items in this shard:
2025-12-04T10:26:21.1464912Z 
2025-12-04T10:26:21.1465319Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:26:21.145438][4438.617671699], took 0.07min
2025-12-04T10:26:21.1838081Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-ce3963078e250503.xml
2025-12-04T10:26:23.7884627Z W1204 10:26:23.787000 66105 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:26:25.1883503Z Running test_schema_check 1/1 ... [2025-12-04 10:26:25.187794][4442.66002282]
2025-12-04T10:26:25.1884206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:25.1887622Z 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 10:26:25.188360]
2025-12-04T10:26:30.4123899Z 
2025-12-04T10:26:30.4125127Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_857d9dea133846e2_.log
2025-12-04T10:26:30.4126603Z Running 0 items in this shard:
2025-12-04T10:26:30.4126818Z 
2025-12-04T10:26:30.4127085Z Finished test_schema_check 1/1 ... [2025-12-04 10:26:30.412395][4447.884624714], took 0.09min
2025-12-04T10:26:30.4761573Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-e3b1cb5f5a38e5d8.xml
2025-12-04T10:26:33.5903701Z W1204 10:26:33.589000 66442 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:26:34.9832781Z Running test_tensorboard 1/1 ... [2025-12-04 10:26:34.982849][4452.455081291]
2025-12-04T10:26:34.9833490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:34.9836754Z 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 10:26:34.983348]
2025-12-04T10:26:39.7403323Z 
2025-12-04T10:26:39.7404748Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_cd2562433ce4840c_.log
2025-12-04T10:26:39.7405894Z Running 0 items in this shard:
2025-12-04T10:26:39.7406200Z 
2025-12-04T10:26:39.7406813Z Finished test_tensorboard 1/1 ... [2025-12-04 10:26:39.740145][4457.212377334], took 0.08min
2025-12-04T10:26:40.0212680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorboard/test_tensorboard-e70c8fd1e56facd2.xml
2025-12-04T10:26:42.6965214Z W1204 10:26:42.695000 66752 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:26:44.1136224Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:26:44.113188][4461.585420105]
2025-12-04T10:26:44.1137062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:44.1140096Z 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 10:26:44.113655]
2025-12-04T10:26:49.2303931Z 
2025-12-04T10:26:49.2305369Z 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_6ad02bd50f3e0f9d_.log
2025-12-04T10:26:49.2307277Z Running 0 items in this shard:
2025-12-04T10:26:49.2307612Z 
2025-12-04T10:26:49.2308486Z Finished torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:26:49.230329][4466.702560094], took 0.09min
2025-12-04T10:26:49.2686537Z 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-d8c4b977bf7fc32d.xml
2025-12-04T10:26:52.9020353Z W1204 10:26:52.901000 66990 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:26:54.6867558Z Running test_futures 1/1 ... [2025-12-04 10:26:54.686257][4472.158484961]
2025-12-04T10:26:54.6868825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:26:54.6873124Z 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 10:26:54.686930]
2025-12-04T10:26:59.7775088Z 
2025-12-04T10:26:59.7776405Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_c81a667a0586d163_.log
2025-12-04T10:26:59.7777858Z Running 0 items in this shard:
2025-12-04T10:26:59.7778126Z 
2025-12-04T10:26:59.7778462Z Finished test_futures 1/1 ... [2025-12-04 10:26:59.777366][4477.249595763], took 0.08min
2025-12-04T10:26:59.8547389Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_futures/test_futures-adcb9bcb7ed98d3c.xml
2025-12-04T10:27:02.5001191Z W1204 10:27:02.499000 67264 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:27:03.8899650Z Running nn/test_dropout 1/1 ... [2025-12-04 10:27:03.889432][4481.361663543]
2025-12-04T10:27:03.8900680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:03.8903497Z 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 10:27:03.889908]
2025-12-04T10:27:08.6883081Z 
2025-12-04T10:27:08.6884297Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_a64de8b41e48d3ba_.log
2025-12-04T10:27:08.6885344Z Running 0 items in this shard:
2025-12-04T10:27:08.6885607Z 
2025-12-04T10:27:08.6887848Z Finished nn/test_dropout 1/1 ... [2025-12-04 10:27:08.688248][4486.160479434], took 0.08min
2025-12-04T10:27:08.7544170Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-2196bae97807885a.xml
2025-12-04T10:27:11.8935839Z W1204 10:27:11.892000 67490 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:27:13.3115053Z Running functorch/dim/test_split 1/1 ... [2025-12-04 10:27:13.311049][4490.783279116]
2025-12-04T10:27:13.3115792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:13.3118218Z 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 10:27:13.311546]
2025-12-04T10:27:17.1334343Z 
2025-12-04T10:27:17.1335825Z 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_b2d772c7c6757ac3_.log
2025-12-04T10:27:17.1337265Z Running 0 items in this shard:
2025-12-04T10:27:17.1337546Z 
2025-12-04T10:27:17.1337969Z Finished functorch/dim/test_split 1/1 ... [2025-12-04 10:27:17.133382][4494.605613321], took 0.06min
2025-12-04T10:27:17.1944633Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_split/functorch.dim.test_split-eb9f0368b0b452b8.xml
2025-12-04T10:27:20.0565494Z W1204 10:27:20.055000 67809 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:27:21.6300775Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:27:21.629517][4499.101746952]
2025-12-04T10:27:21.6301880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:21.6306319Z 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 10:27:21.630097]
2025-12-04T10:27:25.5499526Z 
2025-12-04T10:27:25.5501326Z 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_c40c1da90c39600c_.log
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2025-12-04T10:27:25.5504141Z Finished torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:27:25.549822][4503.022052769], took 0.07min
2025-12-04T10:27:25.6150480Z 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-14cd0278d6c24832.xml
2025-12-04T10:27:28.4988083Z W1204 10:27:28.497000 68086 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:27:30.3622757Z Running profiler/test_execution_trace 1/1 ... [2025-12-04 10:27:30.361798][4507.834023214]
2025-12-04T10:27:30.3623519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:30.3627605Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_execution_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 10:27:30.362456]
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2025-12-04T10:27:34.6471574Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_execution_trace/profiler.test_execution_trace-40f8cfa60f5beae5.xml
2025-12-04T10:27:37.5330023Z W1204 10:27:37.532000 68312 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:27:39.1087357Z Running test_jit 1/1 ... [2025-12-04 10:27:39.108334][4516.580565412]
2025-12-04T10:27:39.1087953Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:39.1091556Z 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 10:27:39.108846]
2025-12-04T10:27:50.3703288Z 
2025-12-04T10:27:50.3704339Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_2190b7270a0cc86c_.log
2025-12-04T10:27:50.3867859Z 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, 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test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, 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_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses
2025-12-04T10:27:50.4011412Z 
2025-12-04T10:27:50.4011737Z Finished test_jit 1/1 ... [2025-12-04 10:27:50.370829][4527.843058933], took 0.19min
2025-12-04T10:27:50.4349932Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit/test_jit-5053a1f3473d6d2e.xml
2025-12-04T10:27:53.2845543Z W1204 10:27:53.283000 68793 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:27:54.6473637Z Running test_datapipe 1/1 ... [2025-12-04 10:27:54.646959][4532.119191298]
2025-12-04T10:27:54.6477428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:27:54.6479597Z 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 10:27:54.647416]
2025-12-04T10:27:58.5185596Z 
2025-12-04T10:27:58.5187197Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_2b6e00a5ec085f05_.log
2025-12-04T10:27:58.5188272Z Running 0 items in this shard:
2025-12-04T10:27:58.5188602Z 
2025-12-04T10:27:58.5189079Z Finished test_datapipe 1/1 ... [2025-12-04 10:27:58.518449][4535.990680255], took 0.06min
2025-12-04T10:27:58.5832978Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_datapipe/test_datapipe-3a274877986b2e17.xml
2025-12-04T10:28:01.8576236Z W1204 10:28:01.856000 69067 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:03.2248977Z Running test_numba_integration 1/1 ... [2025-12-04 10:28:03.224410][4540.69664148]
2025-12-04T10:28:03.2250118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:03.2254050Z 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 10:28:03.224920]
2025-12-04T10:28:07.1622891Z 
2025-12-04T10:28:07.1624130Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_4ca0cfadf1cce458_.log
2025-12-04T10:28:07.1625788Z Running 0 items in this shard:
2025-12-04T10:28:07.1626143Z 
2025-12-04T10:28:07.1626658Z Finished test_numba_integration 1/1 ... [2025-12-04 10:28:07.162162][4544.634386477], took 0.07min
2025-12-04T10:28:07.2012144Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numba_integration/test_numba_integration-ef0093900ddf0e01.xml
2025-12-04T10:28:10.2904064Z W1204 10:28:10.289000 69293 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:11.6965497Z Running test_functional_optim 1/1 ... [2025-12-04 10:28:11.696105][4549.168337475]
2025-12-04T10:28:11.6966255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:11.6969668Z 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 10:28:11.696612]
2025-12-04T10:28:15.5722507Z 
2025-12-04T10:28:15.5723888Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_2c9b8099f314720e_.log
2025-12-04T10:28:15.5725206Z Running 0 items in this shard:
2025-12-04T10:28:15.5725551Z 
2025-12-04T10:28:15.5726025Z Finished test_functional_optim 1/1 ... [2025-12-04 10:28:15.572183][4553.044415774], took 0.06min
2025-12-04T10:28:15.6109495Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_optim/test_functional_optim-f9037a5ca6aa7582.xml
2025-12-04T10:28:18.8355574Z W1204 10:28:18.834000 69471 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:20.8009785Z Running test_maskedtensor 1/1 ... [2025-12-04 10:28:20.800455][4558.272680389]
2025-12-04T10:28:20.8011204Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:20.8017091Z 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 10:28:20.801184]
2025-12-04T10:28:26.5793188Z 
2025-12-04T10:28:26.5794898Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_529c21971e88d679_.log
2025-12-04T10:28:26.5805681Z Running 0 items in this shard:
2025-12-04T10:28:26.5805942Z 
2025-12-04T10:28:26.5806647Z Finished test_maskedtensor 1/1 ... [2025-12-04 10:28:26.579207][4564.051440877], took 0.10min
2025-12-04T10:28:26.6347956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-7e508c209cfbbb28.xml
2025-12-04T10:28:29.6469024Z W1204 10:28:29.646000 69808 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:31.0393743Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:28:31.038813][4568.5110442]
2025-12-04T10:28:31.0394851Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:31.0397781Z 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 10:28:31.039310]
2025-12-04T10:28:35.4279474Z 
2025-12-04T10:28:35.4281285Z 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_d028faf750eaf784_.log
2025-12-04T10:28:35.4283249Z Running 0 items in this shard:
2025-12-04T10:28:35.4283638Z 
2025-12-04T10:28:35.4284344Z Finished benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:28:35.427968][4572.900198139], took 0.07min
2025-12-04T10:28:35.4845039Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-fa7300f3d2798bda.xml
2025-12-04T10:28:38.3596182Z W1204 10:28:38.358000 70130 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:40.0302922Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:28:40.029864][4577.502096432]
2025-12-04T10:28:40.0303879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:40.0307119Z 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 10:28:40.030343]
2025-12-04T10:28:44.7547244Z 
2025-12-04T10:28:44.7548676Z 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_8c29dc80bcc82dbf_.log
2025-12-04T10:28:44.7550040Z Running 0 items in this shard:
2025-12-04T10:28:44.7550311Z 
2025-12-04T10:28:44.7550816Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:28:44.754414][4582.226646702], took 0.08min
2025-12-04T10:28:44.7942329Z 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-b81465165f041f58.xml
2025-12-04T10:28:47.7455503Z W1204 10:28:47.744000 70404 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:49.0944456Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:28:49.093961][4586.566193468]
2025-12-04T10:28:49.0945519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:49.0949084Z 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 10:28:49.094456]
2025-12-04T10:28:53.1772022Z 
2025-12-04T10:28:53.1774214Z 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_71c8565b7d786224_.log
2025-12-04T10:28:53.1775562Z Running 0 items in this shard:
2025-12-04T10:28:53.1775765Z 
2025-12-04T10:28:53.1776159Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:28:53.177100][4590.64933068], took 0.07min
2025-12-04T10:28:53.2379337Z 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-51cb4bb272222447.xml
2025-12-04T10:28:55.7625583Z W1204 10:28:55.761000 70630 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:28:57.1760295Z Running test_vulkan 1/1 ... [2025-12-04 10:28:57.175562][4594.647794331]
2025-12-04T10:28:57.1761099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:28:57.1763617Z 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 10:28:57.176008]
2025-12-04T10:29:00.7788700Z 
2025-12-04T10:29:00.7790080Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_f314638b83c39dee_.log
2025-12-04T10:29:00.7791693Z Running 0 items in this shard:
2025-12-04T10:29:00.7792126Z 
2025-12-04T10:29:00.7792804Z Finished test_vulkan 1/1 ... [2025-12-04 10:29:00.778845][4598.251074906], took 0.06min
2025-12-04T10:29:00.8199775Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-8dbb46244ce324d7.xml
2025-12-04T10:29:03.5951569Z W1204 10:29:03.594000 70898 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:04.9781157Z Running lazy/test_generator 1/1 ... [2025-12-04 10:29:04.977658][4602.449890928]
2025-12-04T10:29:04.9781958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:04.9785984Z 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 10:29:04.978179]
2025-12-04T10:29:08.8609750Z 
2025-12-04T10:29:08.8611275Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_c4584fe82600331f_.log
2025-12-04T10:29:08.8612485Z Running 0 items in this shard:
2025-12-04T10:29:08.8612777Z 
2025-12-04T10:29:08.8613215Z Finished lazy/test_generator 1/1 ... [2025-12-04 10:29:08.860891][4606.333121629], took 0.06min
2025-12-04T10:29:08.9063838Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-217812618d896be3.xml
2025-12-04T10:29:11.5428900Z W1204 10:29:11.542000 71130 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:12.9595217Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:29:12.959053][4610.431284247]
2025-12-04T10:29:12.9596272Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:12.9598196Z 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 10:29:12.959511]
2025-12-04T10:29:16.4193381Z 
2025-12-04T10:29:16.4194621Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_ef88c010115a01eb_.log
2025-12-04T10:29:16.5033089Z 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
2025-12-04T10:29:16.5048714Z 
2025-12-04T10:29:16.5186756Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 10:29:16.516457][4613.985593943], took 16.98min
2025-12-04T10:29:16.6109355Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-dfd6d03d32a4cdd1.xml
2025-12-04T10:29:16.6971843Z 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-c77cc0ab6dd4bfb1.xml
2025-12-04T10:29:17.3291802Z 
2025-12-04T10:29:17.3292923Z 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_847d939a3169055e_.log
2025-12-04T10:29:17.3293935Z Running 0 items in this shard:
2025-12-04T10:29:17.3294147Z 
2025-12-04T10:29:17.3294517Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:29:17.329109][4614.80134063], took 0.07min
2025-12-04T10:29:19.9123135Z W1204 10:29:19.911000 71404 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:21.2127452Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:29:21.212396][4618.684629247]
2025-12-04T10:29:21.2128047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:21.2130681Z 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 10:29:21.212813]
2025-12-04T10:29:24.9755557Z 
2025-12-04T10:29:24.9756803Z 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_e4277e6b183e105f_.log
2025-12-04T10:29:24.9757975Z Running 0 items in this shard:
2025-12-04T10:29:24.9758182Z 
2025-12-04T10:29:24.9758541Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:29:24.975380][4622.447612898], took 0.06min
2025-12-04T10:29:25.0439991Z 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-f5c660873a7c731e.xml
2025-12-04T10:29:27.6784067Z W1204 10:29:27.677000 71726 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:29.0958852Z Running lazy/test_debug_util 1/1 ... [2025-12-04 10:29:29.095489][4626.567720543]
2025-12-04T10:29:29.0959401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:29.0961715Z 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 10:29:29.095918]
2025-12-04T10:29:32.3452561Z 
2025-12-04T10:29:32.3453490Z 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_722af77effaafe61_.log
2025-12-04T10:29:32.3454369Z Running 0 items in this shard:
2025-12-04T10:29:32.3454593Z 
2025-12-04T10:29:32.3454922Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 10:29:32.344849][4629.817083524], took 0.05min
2025-12-04T10:29:32.3849878Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-c0b87d27d0bb2558.xml
2025-12-04T10:29:34.7065863Z W1204 10:29:34.705000 71952 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:34.9986174Z W1204 10:29:34.997000 71953 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:36.0468521Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 10:29:36.046455][4633.518687345]
2025-12-04T10:29:36.0469095Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:36.0471751Z 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 10:29:36.046871]
2025-12-04T10:29:36.3395106Z Running nn/test_module_hooks 1/1 ... [2025-12-04 10:29:36.339167][4633.811399344]
2025-12-04T10:29:36.3395639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:36.3398545Z 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 10:29:36.339572]
2025-12-04T10:29:39.9264993Z 
2025-12-04T10:29:39.9266018Z 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_bbae59d92958cefd_.log
2025-12-04T10:29:39.9266842Z Running 0 items in this shard:
2025-12-04T10:29:39.9267071Z 
2025-12-04T10:29:39.9267381Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 10:29:39.926431][4637.398661507], took 0.06min
2025-12-04T10:29:39.9946571Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-d573bf8a7a683068.xml
2025-12-04T10:29:40.0652630Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-ebcd16a62db4b7e5.xml
2025-12-04T10:29:40.1623186Z 
2025-12-04T10:29:40.1633685Z 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_c36622f126d1b23c_.log
2025-12-04T10:29:40.1634722Z Running 0 items in this shard:
2025-12-04T10:29:40.1634918Z 
2025-12-04T10:29:40.1635198Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 10:29:40.162315][4637.634548078], took 0.06min
2025-12-04T10:29:42.4516717Z W1204 10:29:42.450000 72164 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:42.6777304Z W1204 10:29:42.677000 72165 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:43.7303457Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:29:43.729942][4641.202174305]
2025-12-04T10:29:43.7304071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:43.7306397Z 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 10:29:43.730349]
2025-12-04T10:29:43.9535915Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 10:29:43.953235][4641.425468181]
2025-12-04T10:29:43.9536489Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:43.9539320Z 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 10:29:43.953670]
2025-12-04T10:29:47.0542556Z 
2025-12-04T10:29:47.0543944Z 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_0dafd7831a1c3bce_.log
2025-12-04T10:29:47.0545301Z Running 0 items in this shard:
2025-12-04T10:29:47.0545561Z 
2025-12-04T10:29:47.0546059Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:29:47.054192][4644.526424919], took 0.06min
2025-12-04T10:29:47.0955882Z 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-1f0ba3349c966f1f.xml
2025-12-04T10:29:47.7468998Z 
2025-12-04T10:29:47.7470219Z 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_46b33fb0fe81fedd_.log
2025-12-04T10:29:47.7496753Z 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
2025-12-04T10:29:47.7521733Z 
2025-12-04T10:29:47.7522150Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 10:29:47.746935][4645.219167763], took 0.06min
2025-12-04T10:29:47.8122610Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-dece648a6374316e.xml
2025-12-04T10:29:49.4511173Z W1204 10:29:49.450000 72514 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:50.1444591Z W1204 10:29:50.143000 72536 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:50.7598838Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 10:29:50.759504][4648.231736773]
2025-12-04T10:29:50.7599744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:50.7602368Z 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 10:29:50.759913]
2025-12-04T10:29:51.4469164Z Running test_serialization 1/1 ... [2025-12-04 10:29:51.446579][4648.918811285]
2025-12-04T10:29:51.4469688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:51.4472222Z 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 10:29:51.446984]
2025-12-04T10:29:54.6855587Z 
2025-12-04T10:29:54.6856902Z 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_a2bbf4cb9aa797ee_.log
2025-12-04T10:29:54.6858205Z Running 0 items in this shard:
2025-12-04T10:29:54.6858540Z 
2025-12-04T10:29:54.6859379Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 10:29:54.685490][4652.157722865], took 0.07min
2025-12-04T10:29:54.7536090Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-1546866c57e6eeb7.xml
2025-12-04T10:29:55.7430975Z 
2025-12-04T10:29:55.7432349Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_7f40180841cec502_.log
2025-12-04T10:29:55.7433823Z Running 0 items in this shard:
2025-12-04T10:29:55.7434147Z 
2025-12-04T10:29:55.7434650Z Finished test_serialization 1/1 ... [2025-12-04 10:29:55.743025][4653.215258297], took 0.07min
2025-12-04T10:29:55.8111632Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-3c1456954c8539c1.xml
2025-12-04T10:29:57.0287287Z W1204 10:29:57.028000 72828 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:58.2108565Z W1204 10:29:58.210000 72892 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:29:58.3809801Z Running optim/test_optim 1/1 ... [2025-12-04 10:29:58.380551][4655.852782609]
2025-12-04T10:29:58.3810348Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:58.3813909Z 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 10:29:58.380981]
2025-12-04T10:29:59.5445498Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:29:59.544144][4657.016377367]
2025-12-04T10:29:59.5446552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:29:59.5449172Z 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 10:29:59.544574]
2025-12-04T10:30:01.5649027Z 
2025-12-04T10:30:01.5649933Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_46149b3b1e354fb1_.log
2025-12-04T10:30:01.5650588Z 
2025-12-04T10:30:01.5650875Z Finished optim/test_optim 1/1 ... [2025-12-04 10:30:01.564922][4659.037151764], took 0.05min
2025-12-04T10:30:03.0333655Z 
2025-12-04T10:30:03.0335419Z 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_7e873b2f3ed694f6_.log
2025-12-04T10:30:03.0337234Z Running 0 items in this shard:
2025-12-04T10:30:03.0337618Z 
2025-12-04T10:30:03.0338323Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:30:03.033283][4660.505516023], took 0.06min
2025-12-04T10:30:03.0753143Z 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-43ab02c46788e000.xml
2025-12-04T10:30:03.9536715Z W1204 10:30:03.952000 73172 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:05.2958432Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:30:05.295471][4662.767703323]
2025-12-04T10:30:05.2959041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:05.2962085Z 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 10:30:05.295892]
2025-12-04T10:30:05.3858751Z W1204 10:30:05.385000 73200 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:06.7971022Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:30:06.796667][4664.268899908]
2025-12-04T10:30:06.7971954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:06.7974887Z 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 10:30:06.797136]
2025-12-04T10:30:08.8233504Z 
2025-12-04T10:30:08.8234944Z 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_f3b1da2c1a0c853a_.log
2025-12-04T10:30:08.8235970Z Running 0 items in this shard:
2025-12-04T10:30:08.8236169Z 
2025-12-04T10:30:08.8236540Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:30:08.823245][4666.29547722], took 0.06min
2025-12-04T10:30:08.8659791Z 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_-3de0299d6fe8031d.xml
2025-12-04T10:30:10.1977246Z 
2025-12-04T10:30:10.1978501Z 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_2ebdc5b0f9895765_.log
2025-12-04T10:30:10.1979726Z Running 0 items in this shard:
2025-12-04T10:30:10.1979920Z 
2025-12-04T10:30:10.1980313Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:30:10.197584][4667.669816825], took 0.06min
2025-12-04T10:30:10.2726284Z 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-68f80fcb0d136493.xml
2025-12-04T10:30:11.2392119Z W1204 10:30:11.238000 73444 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:12.5690206Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:30:12.568654][4670.040887076]
2025-12-04T10:30:12.5690756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:12.5693395Z 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 10:30:12.569074]
2025-12-04T10:30:12.5731570Z W1204 10:30:12.572000 73544 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:13.9495791Z Running test_type_info 1/1 ... [2025-12-04 10:30:13.949225][4671.421457805]
2025-12-04T10:30:13.9496302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:13.9499545Z 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 10:30:13.949664]
2025-12-04T10:30:16.5873218Z 
2025-12-04T10:30:16.5874218Z 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_1ac4f52339a65a0b_.log
2025-12-04T10:30:16.5875111Z Running 0 items in this shard:
2025-12-04T10:30:16.5875315Z 
2025-12-04T10:30:16.5875638Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:30:16.587272][4674.059506504], took 0.07min
2025-12-04T10:30:16.6307440Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-27be167e939eba84.xml
2025-12-04T10:30:17.2544319Z 
2025-12-04T10:30:17.2545675Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_1ecec86d547ad56c_.log
2025-12-04T10:30:17.2546874Z Running 0 items in this shard:
2025-12-04T10:30:17.2547222Z 
2025-12-04T10:30:17.2547698Z Finished test_type_info 1/1 ... [2025-12-04 10:30:17.254388][4674.726621703], took 0.06min
2025-12-04T10:30:17.3254082Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-85ad58b31bba4a67.xml
2025-12-04T10:30:18.9886436Z W1204 10:30:18.987000 73794 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:19.6742417Z W1204 10:30:19.673000 73816 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:20.2876448Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 10:30:20.287302][4677.75953502]
2025-12-04T10:30:20.2877007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:20.2880016Z 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 10:30:20.287711]
2025-12-04T10:30:20.9789861Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 10:30:20.978568][4678.450800305]
2025-12-04T10:30:20.9790413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:20.9792903Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scatter_gather_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 10:30:20.979007]
2025-12-04T10:30:24.6925544Z 
2025-12-04T10:30:24.6927069Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_436fbfdf62b48429_.log
2025-12-04T10:30:24.6927915Z Running 0 items in this shard:
2025-12-04T10:30:24.6928126Z 
2025-12-04T10:30:24.6928418Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 10:30:24.692504][4682.164735529], took 0.06min
2025-12-04T10:30:24.7642731Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-974f38c4a513e0c8.xml
2025-12-04T10:30:26.9118066Z 
2025-12-04T10:30:26.9119516Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_27f998e4f397fa2e_.log
2025-12-04T10:30:26.9120945Z Running 0 items in this shard:
2025-12-04T10:30:26.9121313Z 
2025-12-04T10:30:26.9121915Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 10:30:26.911720][4684.383953637], took 0.11min
2025-12-04T10:30:26.9540931Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-072fffd25b94f1a9.xml
2025-12-04T10:30:27.0748154Z W1204 10:30:27.074000 74165 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:28.4941106Z Running test_unary_ufuncs 1/1 ... [2025-12-04 10:30:28.493721][4685.965954171]
2025-12-04T10:30:28.4941645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:28.4944464Z 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 10:30:28.494152]
2025-12-04T10:30:29.4187329Z W1204 10:30:29.418000 74272 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:30.7733914Z Running test_dlpack 1/1 ... [2025-12-04 10:30:30.773051][4688.2452836]
2025-12-04T10:30:30.7734426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:30:30.7736935Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:30.773460]
2025-12-04T10:30:33.2902839Z 
2025-12-04T10:30:33.2903886Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_26ba7cda1f7bef2e_.log
2025-12-04T10:30:33.2904659Z Running 0 items in this shard:
2025-12-04T10:30:33.2904870Z 
2025-12-04T10:30:33.2905173Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 10:30:33.290210][4690.762442483], took 0.08min
2025-12-04T10:30:33.3332429Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-ce87c178ae8ad68a.xml
2025-12-04T10:30:34.4686480Z 
2025-12-04T10:30:34.4688288Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_b9d33d5e1eba8ee7_.log
2025-12-04T10:30:34.4689971Z Running 0 items in this shard:
2025-12-04T10:30:34.4690415Z 
2025-12-04T10:30:34.4691305Z Finished test_dlpack 1/1 ... [2025-12-04 10:30:34.468606][4691.940836964], took 0.06min
2025-12-04T10:30:34.5681236Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-e51c45b1441da545.xml
2025-12-04T10:30:35.6468449Z W1204 10:30:35.646000 74494 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:30:36.9126953Z W1204 10:30:36.912000 74558 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:35:50.8340052Z 
2025-12-04T10:35:50.8341057Z 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_59f43fd0a905ff6d_.log
2025-12-04T10:35:50.9173200Z 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
2025-12-04T10:35:50.9200785Z 
2025-12-04T10:35:50.9325159Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:35:50.931021][5008.39989854], took 33.19min
2025-12-04T10:35:51.0042476Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-67d004cf9102d767.xml
2025-12-04T10:36:08.0301320Z Running test batch 'tests to run' cost 3934.82 seconds
2025-12-04T10:36:08.0692767Z Emitting td_test_failure_stats_v2
2025-12-04T10:36:08.1248479Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844568_0b2bb832d0fd11f08d860242ac110002
2025-12-04T10:36:08.9624912Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844568_0b2bb832d0fd11f08d860242ac110002 
2025-12-04T10:36:08.9655693Z Emitting td_test_failure_stats_v2
2025-12-04T10:36:08.9658319Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844568_0bacb3e2d0fd11f08d860242ac110002
2025-12-04T10:36:09.0022474Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844568_0bacb3e2d0fd11f08d860242ac110002 
2025-12-04T10:36:09.0041081Z Emitting td_test_failure_stats_v2
2025-12-04T10:36:09.0043976Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844569_0bb29668d0fd11f08d860242ac110002
2025-12-04T10:36:09.0510350Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844569_0bb29668d0fd11f08d860242ac110002 
2025-12-04T10:36:09.0558917Z test_ci_sanity_check_fail 1/1 failed!
2025-12-04T10:36:09.0559304Z test_type_hints 1/1 failed! Received signal: SIGKILL
2025-12-04T10:36:09.0559685Z test_dynamic_shapes 1/1 failed!
2025-12-04T10:36:29.0567852Z 
2025-12-04T10:36:29.0568277Z real	66m0.892s
2025-12-04T10:36:29.0568564Z user	210m18.091s
2025-12-04T10:36:29.0568847Z sys	59m7.762s
2025-12-04T10:36:29.0592673Z + assert_git_not_dirty
2025-12-04T10:36:29.0629650Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T10:36:29.0636846Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T10:36:29.0643924Z ++ git status --porcelain
2025-12-04T10:36:29.0645363Z ++ grep -v '?? third_party'
2025-12-04T10:37:14.5351043Z ++ true
2025-12-04T10:37:14.5393540Z + git_status=
2025-12-04T10:37:14.5393806Z + [[ -n '' ]]
2025-12-04T10:37:14.5402249Z + test_aten
2025-12-04T10:37:14.5411849Z + echo 'Running ATen tests with pytorch lib'
2025-12-04T10:37:14.5412231Z Running ATen tests with pytorch lib
2025-12-04T10:37:14.5412542Z + [[ -n '' ]]
2025-12-04T10:37:14.5412828Z + echo 'Running test with the build folder'
2025-12-04T10:37:14.5413164Z Running test with the build folder
2025-12-04T10:37:14.5413472Z + TEST_BASE_DIR=build/bin
2025-12-04T10:37:14.5424031Z + 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
2025-12-04T10:37:14.5459598Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin
2025-12-04T10:37:14.5475076Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2025-12-04T10:37:14.5486861Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2025-12-04T10:37:14.5503635Z + 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
2025-12-04T10:37:14.5511948Z + ls build/bin
2025-12-04T10:37:14.5575564Z  BackoffTest
2025-12-04T10:37:14.5575976Z  CppSignature_test
2025-12-04T10:37:14.5576275Z  Dict_test
2025-12-04T10:37:14.5576584Z  Dimname_test
2025-12-04T10:37:14.5576933Z  FileStoreTest
2025-12-04T10:37:14.5577283Z  HashStoreTest
2025-12-04T10:37:14.5577804Z  IListRef_test
2025-12-04T10:37:14.5578133Z  KernelFunction_test
2025-12-04T10:37:14.5578566Z  List_test
2025-12-04T10:37:14.5578943Z  MaybeOwned_test
2025-12-04T10:37:14.5579577Z  NamedTensor_test
2025-12-04T10:37:14.5580073Z  ProcessGroupGlooAsyncTest
2025-12-04T10:37:14.5580619Z  ProcessGroupGlooTest
2025-12-04T10:37:14.5581097Z  ProcessGroupMPITest
2025-12-04T10:37:14.5581385Z  ProcessGroupNCCLErrorsTest
2025-12-04T10:37:14.5581683Z  ProcessGroupNCCLTest
2025-12-04T10:37:14.5581927Z  StorageUtils_test
2025-12-04T10:37:14.5582164Z  TCPStoreTest
2025-12-04T10:37:14.5582401Z  apply_utils_test
2025-12-04T10:37:14.5582616Z  atest
2025-12-04T10:37:14.5582979Z  backend_fallback_test
2025-12-04T10:37:14.5583458Z  basic
2025-12-04T10:37:14.5583709Z  broadcast_test
2025-12-04T10:37:14.5583951Z  c10_AllocatorConfig_test
2025-12-04T10:37:14.5584222Z  c10_ArrayRef_test
2025-12-04T10:37:14.5584457Z  c10_Bitset_test
2025-12-04T10:37:14.5584705Z  c10_CompileTimeFunctionPointer_test
2025-12-04T10:37:14.5585027Z  c10_ConstexprCrc_test
2025-12-04T10:37:14.5585282Z  c10_DeadlockDetection_test
2025-12-04T10:37:14.5585573Z  c10_DeviceGuard_test
2025-12-04T10:37:14.5585822Z  c10_Device_test
2025-12-04T10:37:14.5586057Z  c10_DispatchKeySet_test
2025-12-04T10:37:14.5586327Z  c10_Enumerate_test
2025-12-04T10:37:14.5586568Z  c10_Half_test
2025-12-04T10:37:14.5586799Z  c10_InlineDeviceGuard_test
2025-12-04T10:37:14.5587090Z  c10_InlineStreamGuard_test
2025-12-04T10:37:14.5587376Z  c10_IntrusiveList_test
2025-12-04T10:37:14.5587621Z  c10_LeftRight_test
2025-12-04T10:37:14.5587875Z  c10_NetworkFlow_test
2025-12-04T10:37:14.5588126Z  c10_Scalar_test
2025-12-04T10:37:14.5588351Z  c10_Semaphore_test
2025-12-04T10:37:14.5588607Z  c10_SizesAndStrides_test
2025-12-04T10:37:14.5588881Z  c10_StreamGuard_test
2025-12-04T10:37:14.5589121Z  c10_SymInt_test
2025-12-04T10:37:14.5589454Z  c10_Synchronized_test
2025-12-04T10:37:14.5589713Z  c10_ThreadLocal_test
2025-12-04T10:37:14.5589954Z  c10_TypeIndex_test
2025-12-04T10:37:14.5590198Z  c10_accumulate_test
2025-12-04T10:37:14.5590450Z  c10_bfloat16_test
2025-12-04T10:37:14.5590673Z  c10_bit_cast_test
2025-12-04T10:37:14.5590915Z  c10_complex_math_test
2025-12-04T10:37:14.5591164Z  c10_complex_test
2025-12-04T10:37:14.5591398Z  c10_cow_test
2025-12-04T10:37:14.5591634Z  c10_cuda_CUDAAssertionsTest_1_var_test
2025-12-04T10:37:14.5591984Z  c10_cuda_CUDAAssertionsTest_catches_stream
2025-12-04T10:37:14.5592429Z  c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device
2025-12-04T10:37:14.5592872Z  c10_cuda_CUDAAssertionsTest_from_2_processes
2025-12-04T10:37:14.5593471Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads
2025-12-04T10:37:14.5594028Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks
2025-12-04T10:37:14.5594540Z  c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block
2025-12-04T10:37:14.5594924Z  c10_cuda_CUDATest
2025-12-04T10:37:14.5595161Z  c10_error_test
2025-12-04T10:37:14.5595391Z  c10_exception_test
2025-12-04T10:37:14.5595614Z  c10_flags_test
2025-12-04T10:37:14.5595845Z  c10_generic_math_test
2025-12-04T10:37:14.5596112Z  c10_intrusive_ptr_benchmark
2025-12-04T10:37:14.5596380Z  c10_intrusive_ptr_test
2025-12-04T10:37:14.5596634Z  c10_irange_test
2025-12-04T10:37:14.5596865Z  c10_lazy_test
2025-12-04T10:37:14.5597084Z  c10_logging_test
2025-12-04T10:37:14.5597303Z  c10_nofatal_test
2025-12-04T10:37:14.5597534Z  c10_optional_test
2025-12-04T10:37:14.5597789Z  c10_ordered_preserving_dict_test
2025-12-04T10:37:14.5598071Z  c10_registry_test
2025-12-04T10:37:14.5598307Z  c10_small_vector_test
2025-12-04T10:37:14.5598559Z  c10_ssize_test
2025-12-04T10:37:14.5598776Z  c10_string_util_test
2025-12-04T10:37:14.5599025Z  c10_string_view_test
2025-12-04T10:37:14.5599273Z  c10_tempfile_test
2025-12-04T10:37:14.5599494Z  c10_typeid_test
2025-12-04T10:37:14.5599732Z  cpu_allocator_test
2025-12-04T10:37:14.5599977Z  cpu_generator_test
2025-12-04T10:37:14.5600219Z  cpu_profiling_allocator_test
2025-12-04T10:37:14.5600500Z  cpu_rng_test
2025-12-04T10:37:14.5600750Z  cuda_allocatorTraceTracker_test
2025-12-04T10:37:14.5601035Z  cuda_allocator_test
2025-12-04T10:37:14.5601281Z  cuda_apply_test
2025-12-04T10:37:14.5601557Z  cuda_atomic_ops_test
2025-12-04T10:37:14.5601945Z  cuda_caching_host_allocator_test
2025-12-04T10:37:14.5602251Z  cuda_complex_math_test
2025-12-04T10:37:14.5602510Z  cuda_complex_test
2025-12-04T10:37:14.5602733Z  cuda_cub_test
2025-12-04T10:37:14.5602980Z  cuda_cublas_handle_pool_test
2025-12-04T10:37:14.5603265Z  cuda_cudnn_test
2025-12-04T10:37:14.5603488Z  cuda_device_test
2025-12-04T10:37:14.5603735Z  cuda_distributions_test
2025-12-04T10:37:14.5604002Z  cuda_dlconvertor_test
2025-12-04T10:37:14.5604253Z  cuda_event_test
2025-12-04T10:37:14.5604486Z  cuda_exchange_device_test
2025-12-04T10:37:14.5604756Z  cuda_generator_test
2025-12-04T10:37:14.5605002Z  cuda_half_test
2025-12-04T10:37:14.5605227Z  cuda_integer_divider_test
2025-12-04T10:37:14.5605493Z  cuda_optional_test
2025-12-04T10:37:14.5605753Z  cuda_packedtensoraccessor_test
2025-12-04T10:37:14.5606051Z  cuda_reportMemoryUsage_test
2025-12-04T10:37:14.5606329Z  cuda_stream_test
2025-12-04T10:37:14.5606568Z  cuda_vectorized_test
2025-12-04T10:37:14.5606808Z  dlconvertor_test
2025-12-04T10:37:14.5607043Z  example_allreduce
2025-12-04T10:37:14.5607287Z  extension_backend_test
2025-12-04T10:37:14.5607525Z  half_test
2025-12-04T10:37:14.5607745Z  inline_container_test
2025-12-04T10:37:14.5607997Z  ivalue_test
2025-12-04T10:37:14.5608221Z  kernel_function_legacy_test
2025-12-04T10:37:14.5608501Z  kernel_function_test
2025-12-04T10:37:14.5608764Z  kernel_lambda_legacy_test
2025-12-04T10:37:14.5609022Z  kernel_lambda_test
2025-12-04T10:37:14.5609266Z  kernel_stackbased_test
2025-12-04T10:37:14.5609519Z  lazy_tensor_test
2025-12-04T10:37:14.5609743Z  legacy_vmap_test
2025-12-04T10:37:14.5609970Z  libc10.so
2025-12-04T10:37:14.5610227Z  libc10_cuda.so
2025-12-04T10:37:14.5610445Z  libc10d_cuda_test.so
2025-12-04T10:37:14.5610701Z  libcaffe2_nvrtc.so
2025-12-04T10:37:14.5610942Z 'libmkldnn*'
2025-12-04T10:37:14.5611152Z 'libnccl*'
2025-12-04T10:37:14.5611371Z  libtorch.so
2025-12-04T10:37:14.5611597Z  libtorch_cpu.so
2025-12-04T10:37:14.5611834Z  libtorch_cuda.so
2025-12-04T10:37:14.5612070Z  libtorch_cuda_linalg.so
2025-12-04T10:37:14.5612342Z  libtorch_global_deps.so
2025-12-04T10:37:14.5612613Z  libtorch_nvshmem.so
2025-12-04T10:37:14.5612855Z  libtorch_python.so
2025-12-04T10:37:14.5613102Z  libtorchbind_test.so
2025-12-04T10:37:14.5613381Z  make_boxed_from_unboxed_functor_test
2025-12-04T10:37:14.5613683Z  math_kernel_test
2025-12-04T10:37:14.5613982Z  memory_format_test
2025-12-04T10:37:14.5614237Z  memory_overlapping_test
2025-12-04T10:37:14.5614495Z  mobile_memory_cleanup
2025-12-04T10:37:14.5614748Z  native_test
2025-12-04T10:37:14.5614976Z  op_allowlist_test
2025-12-04T10:37:14.5615210Z  op_registration_test
2025-12-04T10:37:14.5615470Z  operator_name_test
2025-12-04T10:37:14.5615715Z  operators_test
2025-12-04T10:37:14.5615959Z  packedtensoraccessor_test
2025-12-04T10:37:14.5616243Z  parallel_benchmark
2025-12-04T10:37:14.5616477Z  pow_test
2025-12-04T10:37:14.5616678Z  protoc
2025-12-04T10:37:14.5616889Z  protoc-3.13.0.0
2025-12-04T10:37:14.5617121Z  quantized_test
2025-12-04T10:37:14.5617339Z  reduce_ops_test
2025-12-04T10:37:14.5617579Z  reportMemoryUsage_test
2025-12-04T10:37:14.5617836Z  scalar_tensor_test
2025-12-04T10:37:14.5618059Z  scalar_test
2025-12-04T10:37:14.5618285Z  stride_properties_test
2025-12-04T10:37:14.5618542Z  tensor_iterator_test
2025-12-04T10:37:14.5618780Z  test_aoti_abi_check
2025-12-04T10:37:14.5619020Z  test_api
2025-12-04T10:37:14.5619237Z  test_cpp_rpc
2025-12-04T10:37:14.5619452Z  test_dist_autograd
2025-12-04T10:37:14.5619685Z  test_jit
2025-12-04T10:37:14.5619890Z  test_lazy
2025-12-04T10:37:14.5620095Z  test_parallel
2025-12-04T10:37:14.5620321Z  test_vec_half_AVX2
2025-12-04T10:37:14.5620559Z  test_vec_half_AVX512
2025-12-04T10:37:14.5620805Z  test_vec_half_DEFAULT
2025-12-04T10:37:14.5621040Z  thread_init_test
2025-12-04T10:37:14.5621275Z  torch_shm_manager
2025-12-04T10:37:14.5621505Z  type_ptr_test
2025-12-04T10:37:14.5621714Z  type_test
2025-12-04T10:37:14.5621934Z  undefined_tensor_test
2025-12-04T10:37:14.5622231Z  vec_test_all_types_AVX2
2025-12-04T10:37:14.5622494Z  vec_test_all_types_AVX512
2025-12-04T10:37:14.5622850Z  vec_test_all_types_DEFAULT
2025-12-04T10:37:14.5623133Z  verify_api_visibility
2025-12-04T10:37:14.5623473Z  weakref_test
2025-12-04T10:37:14.5623895Z  wrapdim_test
2025-12-04T10:37:14.5624286Z  xla_tensor_test
2025-12-04T10:37:14.5624525Z + aten/tools/run_tests.sh build/bin
2025-12-04T10:37:14.5624845Z + set -e
2025-12-04T10:37:14.5626442Z ++ dirname aten/tools/run_tests.sh
2025-12-04T10:37:14.5649357Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2025-12-04T10:37:14.5649876Z + export CPP_TESTS_DIR=build/bin
2025-12-04T10:37:14.5650196Z + CPP_TESTS_DIR=build/bin
2025-12-04T10:37:14.5650463Z + VALGRIND=ON
2025-12-04T10:37:14.5652287Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test
2025-12-04T10:37:16.1706199Z W1204 10:37:16.170000 84382 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:19.5353736Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:37:19.5500000Z Found test times from artifacts
2025-12-04T10:37:19.5964471Z Found test times from artifacts
2025-12-04T10:37:19.5976803Z Running all tests
2025-12-04T10:37:19.5981392Z Running parallel tests on 3 processes
2025-12-04T10:37:19.5983322Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:37:19.5983648Z   Serial tests (0):
2025-12-04T10:37:19.5983902Z   Parallel tests (19):
2025-12-04T10:37:19.5984151Z     cpp/Dict_test 1/1
2025-12-04T10:37:19.5984410Z     cpp/Dimname_test 1/1
2025-12-04T10:37:19.5984709Z     cpp/NamedTensor_test 1/1
2025-12-04T10:37:19.5984987Z     cpp/apply_utils_test 1/1
2025-12-04T10:37:19.5985263Z     cpp/atest 1/1
2025-12-04T10:37:19.5985495Z     cpp/basic 1/1
2025-12-04T10:37:19.5985728Z     cpp/broadcast_test 1/1
2025-12-04T10:37:19.5986008Z     cpp/cpu_generator_test 1/1
2025-12-04T10:37:19.5986298Z     cpp/dlconvertor_test 1/1
2025-12-04T10:37:19.5986747Z     cpp/extension_backend_test 1/1
2025-12-04T10:37:19.5987051Z     cpp/lazy_tensor_test 1/1
2025-12-04T10:37:19.5987341Z     cpp/legacy_vmap_test 1/1
2025-12-04T10:37:19.5987621Z     cpp/native_test 1/1
2025-12-04T10:37:19.5987873Z     cpp/operators_test 1/1
2025-12-04T10:37:19.5988160Z     cpp/scalar_tensor_test 1/1
2025-12-04T10:37:19.5988482Z     cpp/scalar_test 1/1
2025-12-04T10:37:19.5988833Z     cpp/tensor_iterator_test 1/1
2025-12-04T10:37:19.5989138Z     cpp/undefined_tensor_test 1/1
2025-12-04T10:37:19.5989451Z     cpp/wrapdim_test 1/1
2025-12-04T10:37:19.5989730Z Name: excluded (est. time: 0.0min)
2025-12-04T10:37:19.5990082Z   Serial tests (0):
2025-12-04T10:37:19.5990488Z   Parallel tests (0):
2025-12-04T10:37:19.5990911Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:37:19.598796][5097.071032354]
2025-12-04T10:37:19.5991350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:19.5991758Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:19.5992332Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:37:19.598992][5097.071227813], took 0.00min
2025-12-04T10:37:20.1529425Z Uploading artifacts took 0.51 seconds
2025-12-04T10:37:20.1530196Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:37:20.152724][5097.624958531]
2025-12-04T10:37:20.1531077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.1531812Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.1532903Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:37:20.152906][5097.625142076], took 0.00min
2025-12-04T10:37:20.1968465Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:37:20.196535][5097.668769702]
2025-12-04T10:37:20.1969669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.1970437Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.1971525Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:37:20.196697][5097.66893527], took 0.00min
2025-12-04T10:37:20.2404143Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:37:20.240115][5097.712349952]
2025-12-04T10:37:20.2405108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.2405861Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.2406957Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:37:20.240288][5097.712525873], took 0.00min
2025-12-04T10:37:20.2834379Z Running cpp/atest 1/1 ... [2025-12-04 10:37:20.283168][5097.755401498]
2025-12-04T10:37:20.2835217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.2835967Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.2836996Z Finished cpp/atest 1/1 ... [2025-12-04 10:37:20.283321][5097.755559278], took 0.00min
2025-12-04T10:37:20.3262406Z Running cpp/basic 1/1 ... [2025-12-04 10:37:20.326003][5097.798238857]
2025-12-04T10:37:20.3263265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.3264016Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.3265043Z Finished cpp/basic 1/1 ... [2025-12-04 10:37:20.326152][5097.798389853], took 0.00min
2025-12-04T10:37:20.3691882Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:37:20.368925][5097.841160867]
2025-12-04T10:37:20.3692809Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.3693568Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.3694870Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:37:20.369065][5097.841303536], took 0.00min
2025-12-04T10:37:20.4117259Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:37:20.411496][5097.88373223]
2025-12-04T10:37:20.4118179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.4118938Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.4120111Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:37:20.411638][5097.883876216], took 0.00min
2025-12-04T10:37:20.4542141Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:37:20.454007][5097.926243933]
2025-12-04T10:37:20.4543064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.4544047Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.4545195Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:37:20.454153][5097.926390563], took 0.00min
2025-12-04T10:37:20.4962884Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:37:20.496078][5097.96831546]
2025-12-04T10:37:20.4963861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.4964618Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.4965808Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:37:20.496229][5097.968466915], took 0.00min
2025-12-04T10:37:20.5381708Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:37:20.537966][5098.010203052]
2025-12-04T10:37:20.5382654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.5383396Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.5384525Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:37:20.538103][5098.010341003], took 0.00min
2025-12-04T10:37:20.5800306Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:37:20.579830][5098.052067038]
2025-12-04T10:37:20.5801221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.5802036Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.5803165Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:37:20.579972][5098.0522096], took 0.00min
2025-12-04T10:37:20.6221086Z Running cpp/native_test 1/1 ... [2025-12-04 10:37:20.621849][5098.09408474]
2025-12-04T10:37:20.6221968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.6222713Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.6223982Z Finished cpp/native_test 1/1 ... [2025-12-04 10:37:20.621992][5098.094230665], took 0.00min
2025-12-04T10:37:20.6643808Z Running cpp/operators_test 1/1 ... [2025-12-04 10:37:20.664131][5098.136367874]
2025-12-04T10:37:20.6644740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.6645486Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.6646637Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:37:20.664287][5098.136524388], took 0.00min
2025-12-04T10:37:20.7065987Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:37:20.706330][5098.178565798]
2025-12-04T10:37:20.7066918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.7067701Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.7068824Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:37:20.706476][5098.178714366], took 0.00min
2025-12-04T10:37:20.7489279Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:37:20.748682][5098.22091753]
2025-12-04T10:37:20.7490145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.7490943Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.7492022Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:37:20.748830][5098.221068277], took 0.00min
2025-12-04T10:37:20.7913416Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:37:20.791093][5098.263329575]
2025-12-04T10:37:20.7914404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.7915153Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.7916312Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:37:20.791239][5098.263476946], took 0.00min
2025-12-04T10:37:20.8334598Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:37:20.833226][5098.305462767]
2025-12-04T10:37:20.8335581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.8336348Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.8337513Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:37:20.833364][5098.30560244], took 0.00min
2025-12-04T10:37:20.8755612Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:37:20.875354][5098.347591482]
2025-12-04T10:37:20.8756519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:20.8757272Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:20.8758369Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:37:20.875496][5098.347734166], took 0.00min
2025-12-04T10:37:22.5473317Z W1204 10:37:22.546000 84408 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:22.5816374Z W1204 10:37:22.580000 84406 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:22.6127175Z W1204 10:37:22.612000 84407 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:23.8372701Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:37:23.836813][5101.309045065]
2025-12-04T10:37:23.8373659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:23.8374463Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:23.8375568Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:37:23.836997][5101.309235756], took 0.00min
2025-12-04T10:37:23.8906076Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:37:23.890205][5101.362436518]
2025-12-04T10:37:23.8906988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:23.8907716Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:23.8908691Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:37:23.890385][5101.362623601], took 0.00min
2025-12-04T10:37:23.9025492Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:37:23.902154][5101.374386616]
2025-12-04T10:37:23.9026491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:23.9027282Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:23.9028447Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:37:23.902346][5101.374582266], took 0.00min
2025-12-04T10:37:26.3528533Z W1204 10:37:26.352000 84460 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:26.4204317Z W1204 10:37:26.419000 84462 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:26.4374323Z W1204 10:37:26.436000 84461 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:27.7206285Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:37:27.720219][5105.192450372]
2025-12-04T10:37:27.7206820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:27.7207263Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:27.7207853Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:37:27.720415][5105.192653009], took 0.00min
2025-12-04T10:37:27.8091851Z Running cpp/atest 1/1 ... [2025-12-04 10:37:27.808817][5105.281048689]
2025-12-04T10:37:27.8092355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:27.8092769Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:27.8093305Z Finished cpp/atest 1/1 ... [2025-12-04 10:37:27.809003][5105.28124133], took 0.00min
2025-12-04T10:37:27.8168098Z Running cpp/basic 1/1 ... [2025-12-04 10:37:27.816488][5105.288719806]
2025-12-04T10:37:27.8168556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:27.8168981Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:27.8169533Z Finished cpp/basic 1/1 ... [2025-12-04 10:37:27.816714][5105.288949143], took 0.00min
2025-12-04T10:37:30.3486367Z W1204 10:37:30.347000 84511 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:30.3991215Z W1204 10:37:30.398000 84513 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:30.4296045Z W1204 10:37:30.429000 84512 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:31.6315675Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:37:31.631184][5109.103417017]
2025-12-04T10:37:31.6316199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:31.6316624Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:31.6317495Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:37:31.631361][5109.103599048], took 0.00min
2025-12-04T10:37:31.6870144Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:37:31.686735][5109.158967173]
2025-12-04T10:37:31.6870996Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:31.6871429Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:31.6872017Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:37:31.686921][5109.159158249], took 0.00min
2025-12-04T10:37:31.7137292Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:37:31.713451][5109.185684834]
2025-12-04T10:37:31.7137816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:31.7138231Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:31.7138821Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:37:31.713625][5109.185862438], took 0.00min
2025-12-04T10:37:34.0327399Z W1204 10:37:34.032000 84563 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:34.0644957Z W1204 10:37:34.063000 84562 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:34.0922883Z W1204 10:37:34.091000 84564 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:35.3157276Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:37:35.315343][5112.787576848]
2025-12-04T10:37:35.3157836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:35.3158244Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:35.3159096Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:37:35.315547][5112.787784826], took 0.00min
2025-12-04T10:37:35.3502450Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:37:35.349907][5112.822140246]
2025-12-04T10:37:35.3502959Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:35.3503387Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:35.3504007Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:37:35.350078][5112.822316504], took 0.00min
2025-12-04T10:37:35.3898773Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:37:35.389535][5112.861767239]
2025-12-04T10:37:35.3899299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:35.3899708Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:35.3900305Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:37:35.389710][5112.86194814], took 0.00min
2025-12-04T10:37:37.7191028Z W1204 10:37:37.718000 84613 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:37.7250668Z W1204 10:37:37.724000 84614 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:37.8147419Z W1204 10:37:37.814000 84615 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:39.0079144Z Running cpp/native_test 1/1 ... [2025-12-04 10:37:39.007554][5116.479786408]
2025-12-04T10:37:39.0079633Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:39.0080054Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:39.0080817Z Finished cpp/native_test 1/1 ... [2025-12-04 10:37:39.007737][5116.479975261], took 0.00min
2025-12-04T10:37:39.0144210Z Running cpp/operators_test 1/1 ... [2025-12-04 10:37:39.014171][5116.486404284]
2025-12-04T10:37:39.0144738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:39.0145150Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:39.0145750Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:37:39.014337][5116.486576141], took 0.00min
2025-12-04T10:37:39.0880019Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:37:39.087593][5116.559826291]
2025-12-04T10:37:39.0880542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:39.0880968Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:39.0881925Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:37:39.087814][5116.560049212], took 0.00min
2025-12-04T10:37:41.4436571Z W1204 10:37:41.442000 84664 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:41.4464572Z W1204 10:37:41.445000 84665 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:41.4556447Z W1204 10:37:41.455000 84666 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:42.7305713Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:37:42.730208][5120.202441178]
2025-12-04T10:37:42.7306220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:42.7306706Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:37:42.730232][5120.202464994]
2025-12-04T10:37:42.7307205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:42.7307650Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:42.7308148Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:42.7308722Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:37:42.730387][5120.202624368], took 0.00min
2025-12-04T10:37:42.7309411Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:37:42.730413][5120.202650518], took 0.00min
2025-12-04T10:37:42.7320629Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:37:42.731850][5120.204083533]
2025-12-04T10:37:42.7321235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:42.7321683Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:42.7322627Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:37:42.732035][5120.204273213], took 0.00min
2025-12-04T10:37:45.0476857Z W1204 10:37:45.047000 84716 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:45.0504583Z W1204 10:37:45.050000 84715 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:45.0566925Z W1204 10:37:45.056000 84717 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:46.3368059Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:37:46.336479][5123.808710932]
2025-12-04T10:37:46.3368574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:46.3368987Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:46.3369566Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:37:46.336658][5123.808896317], took 0.00min
2025-12-04T10:37:47.0835546Z Running test batch 'tests to run' cost 27.48 seconds
2025-12-04T10:37:47.7100412Z + run_if_exists tensor_interop_test
2025-12-04T10:37:47.7101002Z + local test_name=tensor_interop_test
2025-12-04T10:37:47.7101528Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T10:37:47.7102098Z + echo 'Warning: tensor_interop_test does not exist.'
2025-12-04T10:37:47.7102747Z Warning: tensor_interop_test does not exist.
2025-12-04T10:37:47.7103274Z + run_if_exists cudnn_test
2025-12-04T10:37:47.7103689Z + local test_name=cudnn_test
2025-12-04T10:37:47.7104124Z + [[ -x build/bin/cudnn_test ]]
2025-12-04T10:37:47.7104867Z + echo 'Warning: cudnn_test does not exist.'
2025-12-04T10:37:47.7105417Z Warning: cudnn_test does not exist.
2025-12-04T10:37:47.7105955Z + run_if_exists cuda_generator_test
2025-12-04T10:37:47.7106513Z + local test_name=cuda_generator_test
2025-12-04T10:37:47.7107071Z + [[ -x build/bin/cuda_generator_test ]]
2025-12-04T10:37:47.7107885Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test
2025-12-04T10:37:49.3384207Z W1204 10:37:49.337000 84766 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:52.7347103Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:37:52.7445799Z Found test times from artifacts
2025-12-04T10:37:52.7828605Z Found test times from artifacts
2025-12-04T10:37:52.7841424Z Running all tests
2025-12-04T10:37:52.7844543Z Running parallel tests on 3 processes
2025-12-04T10:37:52.7845160Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:37:52.7845480Z   Serial tests (0):
2025-12-04T10:37:52.7845742Z   Parallel tests (1):
2025-12-04T10:37:52.7845998Z     cpp/cuda_generator_test 1/1
2025-12-04T10:37:52.7846302Z Name: excluded (est. time: 0.0min)
2025-12-04T10:37:52.7846606Z   Serial tests (0):
2025-12-04T10:37:52.7846840Z   Parallel tests (0):
2025-12-04T10:37:52.7847266Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 10:37:52.784555][5130.256791907]
2025-12-04T10:37:52.7847758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:52.7848163Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:52.7848770Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 10:37:52.784698][5130.256936717], took 0.00min
2025-12-04T10:37:53.3850176Z Uploading artifacts took 0.56 seconds
2025-12-04T10:37:54.9984279Z W1204 10:37:54.997000 84791 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:55.0148826Z W1204 10:37:55.014000 84790 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:55.0290731Z W1204 10:37:55.028000 84792 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:37:56.2894753Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 10:37:56.289157][5133.761390644]
2025-12-04T10:37:56.2895531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:37:56.2895954Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:37:56.2896565Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 10:37:56.289330][5133.761568373], took 0.00min
2025-12-04T10:37:57.0355132Z Running test batch 'tests to run' cost 4.25 seconds
2025-12-04T10:37:57.6583701Z + run_if_exists apply_test
2025-12-04T10:37:57.6584087Z + local test_name=apply_test
2025-12-04T10:37:57.6584382Z + [[ -x build/bin/apply_test ]]
2025-12-04T10:37:57.6584704Z + echo 'Warning: apply_test does not exist.'
2025-12-04T10:37:57.6585080Z Warning: apply_test does not exist.
2025-12-04T10:37:57.6585397Z + run_if_exists stream_test
2025-12-04T10:37:57.6585666Z + local test_name=stream_test
2025-12-04T10:37:57.6585965Z + [[ -x build/bin/stream_test ]]
2025-12-04T10:37:57.6586288Z + echo 'Warning: stream_test does not exist.'
2025-12-04T10:37:57.6586632Z Warning: stream_test does not exist.
2025-12-04T10:37:57.6586950Z + run_if_exists cuda_half_test
2025-12-04T10:37:57.6587248Z + local test_name=cuda_half_test
2025-12-04T10:37:57.6587542Z + [[ -x build/bin/cuda_half_test ]]
2025-12-04T10:37:57.6587956Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test
2025-12-04T10:37:59.3475384Z W1204 10:37:59.346000 84844 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:02.6970240Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:38:02.7068788Z Found test times from artifacts
2025-12-04T10:38:02.7449954Z Found test times from artifacts
2025-12-04T10:38:02.7462082Z Running all tests
2025-12-04T10:38:02.7465075Z Running parallel tests on 3 processes
2025-12-04T10:38:02.7465457Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:38:02.7465774Z   Serial tests (0):
2025-12-04T10:38:02.7466035Z   Parallel tests (1):
2025-12-04T10:38:02.7466306Z     cpp/cuda_half_test 1/1
2025-12-04T10:38:02.7486167Z Name: excluded (est. time: 0.0min)
2025-12-04T10:38:02.7486511Z   Serial tests (0):
2025-12-04T10:38:02.7486760Z   Parallel tests (0):
2025-12-04T10:38:02.7487246Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 10:38:02.746602][5140.218838686]
2025-12-04T10:38:02.7487930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:02.7488332Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:02.7488920Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 10:38:02.746765][5140.219002615], took 0.00min
2025-12-04T10:38:03.3230548Z Uploading artifacts took 0.53 seconds
2025-12-04T10:38:04.9831523Z W1204 10:38:04.982000 84870 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:05.0038893Z W1204 10:38:05.003000 84868 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:05.0040062Z W1204 10:38:05.003000 84869 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:06.2806137Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 10:38:06.280241][5143.752474117]
2025-12-04T10:38:06.2806657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:06.2807105Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:06.2807677Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 10:38:06.280417][5143.752654955], took 0.00min
2025-12-04T10:38:07.1353975Z Running test batch 'tests to run' cost 4.39 seconds
2025-12-04T10:38:07.9358375Z + run_if_exists cuda_vectorized_test
2025-12-04T10:38:07.9358791Z + local test_name=cuda_vectorized_test
2025-12-04T10:38:07.9359129Z + [[ -x build/bin/cuda_vectorized_test ]]
2025-12-04T10:38:07.9359579Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test
2025-12-04T10:38:09.5426805Z W1204 10:38:09.542000 84922 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:12.8591870Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:38:12.8691154Z Found test times from artifacts
2025-12-04T10:38:12.9077807Z Found test times from artifacts
2025-12-04T10:38:12.9091345Z Running all tests
2025-12-04T10:38:12.9094723Z Running parallel tests on 3 processes
2025-12-04T10:38:12.9095091Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:38:12.9095406Z   Serial tests (0):
2025-12-04T10:38:12.9095657Z   Parallel tests (1):
2025-12-04T10:38:12.9095930Z     cpp/cuda_vectorized_test 1/1
2025-12-04T10:38:12.9096245Z Name: excluded (est. time: 0.0min)
2025-12-04T10:38:12.9096660Z   Serial tests (0):
2025-12-04T10:38:12.9096912Z   Parallel tests (0):
2025-12-04T10:38:12.9097326Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:38:12.909561][5150.381799105]
2025-12-04T10:38:12.9097944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:12.9098362Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:12.9098966Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:38:12.909712][5150.381951392], took 0.00min
2025-12-04T10:38:13.5066836Z Uploading artifacts took 0.55 seconds
2025-12-04T10:38:15.1949997Z W1204 10:38:15.194000 84946 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:15.2026320Z W1204 10:38:15.202000 84947 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:15.2165062Z W1204 10:38:15.215000 84948 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:16.4904429Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:38:16.490107][5153.962341081]
2025-12-04T10:38:16.4904972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:16.4905414Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:16.4906035Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:38:16.490301][5153.962538325], took 0.00min
2025-12-04T10:38:17.2394366Z Running test batch 'tests to run' cost 4.33 seconds
2025-12-04T10:38:17.8640097Z + run_if_exists cuda_distributions_test
2025-12-04T10:38:17.8640802Z + local test_name=cuda_distributions_test
2025-12-04T10:38:17.8641188Z + [[ -x build/bin/cuda_distributions_test ]]
2025-12-04T10:38:17.8641653Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test
2025-12-04T10:38:19.4448244Z W1204 10:38:19.444000 85000 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:23.1371076Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:38:23.1472637Z Found test times from artifacts
2025-12-04T10:38:23.1875099Z Found test times from artifacts
2025-12-04T10:38:23.1894270Z Running all tests
2025-12-04T10:38:23.1898598Z Running parallel tests on 3 processes
2025-12-04T10:38:23.1899495Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:38:23.1899815Z   Serial tests (0):
2025-12-04T10:38:23.1900064Z   Parallel tests (1):
2025-12-04T10:38:23.1900350Z     cpp/cuda_distributions_test 1/1
2025-12-04T10:38:23.1900723Z Name: excluded (est. time: 0.0min)
2025-12-04T10:38:23.1901037Z   Serial tests (0):
2025-12-04T10:38:23.1901273Z   Parallel tests (0):
2025-12-04T10:38:23.1901971Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:38:23.190044][5160.66227954]
2025-12-04T10:38:23.1902503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:23.1903349Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:23.1903998Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:38:23.190234][5160.662471754], took 0.00min
2025-12-04T10:38:23.7495880Z Uploading artifacts took 0.52 seconds
2025-12-04T10:38:25.7408810Z W1204 10:38:25.739000 85026 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:25.7941793Z W1204 10:38:25.793000 85025 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:25.8040543Z W1204 10:38:25.803000 85024 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:27.3679754Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:38:27.367382][5164.839610639]
2025-12-04T10:38:27.3680336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:27.3680806Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:27.3681433Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:38:27.367600][5164.83983824], took 0.00min
2025-12-04T10:38:28.8817882Z Running test batch 'tests to run' cost 5.69 seconds
2025-12-04T10:38:30.3489522Z + run_if_exists cuda_optional_test
2025-12-04T10:38:30.3490070Z + local test_name=cuda_optional_test
2025-12-04T10:38:30.3490426Z + [[ -x build/bin/cuda_optional_test ]]
2025-12-04T10:38:30.3490882Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test
2025-12-04T10:38:32.3671985Z W1204 10:38:32.366000 85078 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:36.5698737Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:38:36.5804257Z Found test times from artifacts
2025-12-04T10:38:36.6216121Z Found test times from artifacts
2025-12-04T10:38:36.6235856Z Running all tests
2025-12-04T10:38:36.6240313Z Running parallel tests on 3 processes
2025-12-04T10:38:36.6241006Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:38:36.6241401Z   Serial tests (0):
2025-12-04T10:38:36.6241653Z   Parallel tests (1):
2025-12-04T10:38:36.6242004Z     cpp/cuda_optional_test 1/1
2025-12-04T10:38:36.6242306Z Name: excluded (est. time: 0.0min)
2025-12-04T10:38:36.6242830Z   Serial tests (0):
2025-12-04T10:38:36.6243065Z   Parallel tests (0):
2025-12-04T10:38:36.6243557Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 10:38:36.624163][5174.096399162]
2025-12-04T10:38:36.6244160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:36.6245313Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:36.6245972Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 10:38:36.624347][5174.096585264], took 0.00min
2025-12-04T10:38:37.2328907Z Uploading artifacts took 0.56 seconds
2025-12-04T10:38:39.3105447Z W1204 10:38:39.309000 85103 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:39.3165226Z W1204 10:38:39.315000 85102 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:39.3201944Z W1204 10:38:39.319000 85104 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:41.0214073Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 10:38:41.020631][5178.492853662]
2025-12-04T10:38:41.0214662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:41.0215091Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:41.0215804Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 10:38:41.020892][5178.493129366], took 0.00min
2025-12-04T10:38:42.3287226Z Running test batch 'tests to run' cost 5.7 seconds
2025-12-04T10:38:43.6564713Z + run_if_exists cuda_tensor_interop_test
2025-12-04T10:38:43.6565203Z + local test_name=cuda_tensor_interop_test
2025-12-04T10:38:43.6565569Z + [[ -x build/bin/cuda_tensor_interop_test ]]
2025-12-04T10:38:43.6565986Z + echo 'Warning: cuda_tensor_interop_test does not exist.'
2025-12-04T10:38:43.6566431Z Warning: cuda_tensor_interop_test does not exist.
2025-12-04T10:38:43.6567133Z + run_if_exists cuda_complex_test
2025-12-04T10:38:43.6567442Z + local test_name=cuda_complex_test
2025-12-04T10:38:43.6567774Z + [[ -x build/bin/cuda_complex_test ]]
2025-12-04T10:38:43.6568216Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test
2025-12-04T10:38:45.6790916Z W1204 10:38:45.678000 85156 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:49.7576733Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:38:49.7679953Z Found test times from artifacts
2025-12-04T10:38:49.8086308Z Found test times from artifacts
2025-12-04T10:38:49.8105364Z Running all tests
2025-12-04T10:38:49.8110107Z Running parallel tests on 3 processes
2025-12-04T10:38:49.8110798Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:38:49.8111279Z   Serial tests (0):
2025-12-04T10:38:49.8111707Z   Parallel tests (1):
2025-12-04T10:38:49.8112160Z     cpp/cuda_complex_test 1/1
2025-12-04T10:38:49.8112656Z Name: excluded (est. time: 0.0min)
2025-12-04T10:38:49.8113206Z   Serial tests (0):
2025-12-04T10:38:49.8113647Z   Parallel tests (0):
2025-12-04T10:38:49.8114305Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 10:38:49.811125][5187.283358835]
2025-12-04T10:38:49.8115040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:49.8115690Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:49.8116841Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 10:38:49.811411][5187.283647645], took 0.00min
2025-12-04T10:38:50.3843996Z Uploading artifacts took 0.53 seconds
2025-12-04T10:38:52.4242260Z W1204 10:38:52.423000 85182 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:52.4341305Z W1204 10:38:52.433000 85181 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:52.4494158Z W1204 10:38:52.448000 85180 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:38:54.0739534Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 10:38:54.073450][5191.545680554]
2025-12-04T10:38:54.0740081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:38:54.0740908Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:38:54.0741523Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 10:38:54.073655][5191.545892977], took 0.00min
2025-12-04T10:38:55.3623313Z Running test batch 'tests to run' cost 5.55 seconds
2025-12-04T10:38:56.5258470Z + run_if_exists cuda_complex_math_test
2025-12-04T10:38:56.5259002Z + local test_name=cuda_complex_math_test
2025-12-04T10:38:56.5259359Z + [[ -x build/bin/cuda_complex_math_test ]]
2025-12-04T10:38:56.5259852Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test
2025-12-04T10:38:58.5037247Z W1204 10:38:58.502000 85234 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:02.6088308Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:39:02.6192997Z Found test times from artifacts
2025-12-04T10:39:02.6597041Z Found test times from artifacts
2025-12-04T10:39:02.6614270Z Running all tests
2025-12-04T10:39:02.6618876Z Running parallel tests on 3 processes
2025-12-04T10:39:02.6619364Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:39:02.6619673Z   Serial tests (0):
2025-12-04T10:39:02.6619950Z   Parallel tests (1):
2025-12-04T10:39:02.6620318Z     cpp/cuda_complex_math_test 1/1
2025-12-04T10:39:02.6620628Z Name: excluded (est. time: 0.0min)
2025-12-04T10:39:02.6621014Z   Serial tests (0):
2025-12-04T10:39:02.6621362Z   Parallel tests (0):
2025-12-04T10:39:02.6621870Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:39:02.662019][5200.134255409]
2025-12-04T10:39:02.6622667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:02.6623215Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:02.6623915Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:39:02.662194][5200.134432373], took 0.00min
2025-12-04T10:39:03.2179761Z Uploading artifacts took 0.51 seconds
2025-12-04T10:39:05.2111307Z W1204 10:39:05.209000 85259 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:05.2179092Z W1204 10:39:05.217000 85260 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:05.2233292Z W1204 10:39:05.222000 85258 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:06.8722573Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:39:06.871689][5204.343917523]
2025-12-04T10:39:06.8723143Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:06.8723598Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:06.8724232Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:39:06.871917][5204.34415482], took 0.00min
2025-12-04T10:39:08.1408697Z Running test batch 'tests to run' cost 5.48 seconds
2025-12-04T10:39:09.3891516Z + run_if_exists cuda_cub_test
2025-12-04T10:39:09.3891903Z + local test_name=cuda_cub_test
2025-12-04T10:39:09.3892262Z + [[ -x build/bin/cuda_cub_test ]]
2025-12-04T10:39:09.3892676Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test
2025-12-04T10:39:11.3720747Z W1204 10:39:11.371000 85312 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:15.5966564Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:39:15.6070386Z Found test times from artifacts
2025-12-04T10:39:15.6485984Z Found test times from artifacts
2025-12-04T10:39:15.6504675Z Running all tests
2025-12-04T10:39:15.6510264Z Running parallel tests on 3 processes
2025-12-04T10:39:15.6511093Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:39:15.6511545Z   Serial tests (0):
2025-12-04T10:39:15.6511793Z   Parallel tests (1):
2025-12-04T10:39:15.6512135Z     cpp/cuda_cub_test 1/1
2025-12-04T10:39:15.6512426Z Name: excluded (est. time: 0.0min)
2025-12-04T10:39:15.6513234Z   Serial tests (0):
2025-12-04T10:39:15.6513491Z   Parallel tests (0):
2025-12-04T10:39:15.6513979Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 10:39:15.651189][5213.123425594]
2025-12-04T10:39:15.6514517Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:15.6515000Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:15.6515665Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 10:39:15.651375][5213.123613736], took 0.00min
2025-12-04T10:39:16.3370605Z Uploading artifacts took 0.64 seconds
2025-12-04T10:39:18.3846791Z W1204 10:39:18.383000 85337 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:18.3848834Z W1204 10:39:18.383000 85336 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:18.3850705Z W1204 10:39:18.383000 85338 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:20.0970942Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 10:39:20.096600][5217.568827167]
2025-12-04T10:39:20.0971559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:20.0971969Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:20.0972580Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 10:39:20.096805][5217.56904319], took 0.00min
2025-12-04T10:39:21.5196297Z Running test batch 'tests to run' cost 5.87 seconds
2025-12-04T10:39:22.9252014Z + run_if_exists cuda_atomic_ops_test
2025-12-04T10:39:22.9252582Z + local test_name=cuda_atomic_ops_test
2025-12-04T10:39:22.9253477Z + [[ -x build/bin/cuda_atomic_ops_test ]]
2025-12-04T10:39:22.9254009Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test
2025-12-04T10:39:24.9231766Z W1204 10:39:24.922000 85390 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:29.2142210Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:39:29.2243277Z Found test times from artifacts
2025-12-04T10:39:29.2652188Z Found test times from artifacts
2025-12-04T10:39:29.2670265Z Running all tests
2025-12-04T10:39:29.2676380Z Running parallel tests on 3 processes
2025-12-04T10:39:29.2676891Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:39:29.2677233Z   Serial tests (0):
2025-12-04T10:39:29.2677541Z   Parallel tests (1):
2025-12-04T10:39:29.2677978Z     cpp/cuda_atomic_ops_test 1/1
2025-12-04T10:39:29.2678299Z Name: excluded (est. time: 0.0min)
2025-12-04T10:39:29.2678630Z   Serial tests (0):
2025-12-04T10:39:29.2678948Z   Parallel tests (0):
2025-12-04T10:39:29.2680045Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:39:29.267829][5226.740064466]
2025-12-04T10:39:29.2680653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:29.2681188Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:29.2681889Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:39:29.268011][5226.7402504], took 0.00min
2025-12-04T10:39:29.8412233Z Uploading artifacts took 0.53 seconds
2025-12-04T10:39:31.9431033Z W1204 10:39:31.942000 85416 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:31.9611952Z W1204 10:39:31.960000 85415 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:31.9615090Z W1204 10:39:31.960000 85414 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:33.6836947Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:39:33.683231][5231.155460569]
2025-12-04T10:39:33.6837505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:33.6837929Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:33.6838927Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:39:33.683431][5231.155668239], took 0.00min
2025-12-04T10:39:34.9813944Z Running test batch 'tests to run' cost 5.71 seconds
2025-12-04T10:39:36.3974191Z + run_if_exists cuda_allocator_test
2025-12-04T10:39:36.3974771Z + local test_name=cuda_allocator_test
2025-12-04T10:39:36.3975175Z + [[ -x build/bin/cuda_allocator_test ]]
2025-12-04T10:39:36.3975648Z + python test/run_test.py --cpp --verbose -i cpp/cuda_allocator_test
2025-12-04T10:39:38.4176161Z W1204 10:39:38.416000 85468 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:42.5809919Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:39:42.5912287Z Found test times from artifacts
2025-12-04T10:39:42.6320625Z Found test times from artifacts
2025-12-04T10:39:42.6339703Z Running all tests
2025-12-04T10:39:42.6345815Z Running parallel tests on 3 processes
2025-12-04T10:39:42.6346912Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:39:42.6347229Z   Serial tests (0):
2025-12-04T10:39:42.6347553Z   Parallel tests (1):
2025-12-04T10:39:42.6347820Z     cpp/cuda_allocator_test 1/1
2025-12-04T10:39:42.6348113Z Name: excluded (est. time: 0.0min)
2025-12-04T10:39:42.6348439Z   Serial tests (0):
2025-12-04T10:39:42.6348692Z   Parallel tests (0):
2025-12-04T10:39:42.6349256Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:39:42.634767][5240.107003396]
2025-12-04T10:39:42.6349819Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:42.6350531Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:42.6351451Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:39:42.634954][5240.107192741], took 0.00min
2025-12-04T10:39:43.1610163Z Uploading artifacts took 0.48 seconds
2025-12-04T10:39:45.0992458Z W1204 10:39:45.098000 85493 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:45.0993637Z W1204 10:39:45.098000 85494 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:45.0994672Z W1204 10:39:45.098000 85492 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:39:46.7401252Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:39:46.739570][5244.211796865]
2025-12-04T10:39:46.7401904Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:39:46.7402322Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:39:46.7402993Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:39:46.739809][5244.212045834], took 0.00min
2025-12-04T10:39:47.9288088Z Running test batch 'tests to run' cost 5.29 seconds
2025-12-04T10:39:49.0774659Z + '[' ON == ON ']'
2025-12-04T10:39:49.0775460Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA'
2025-12-04T10:39:49.1100802Z ==85546== Memcheck, a memory error detector
2025-12-04T10:39:49.1101330Z ==85546== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al.
2025-12-04T10:39:49.1101932Z ==85546== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info
2025-12-04T10:39:49.1102648Z ==85546== Command: build/bin/basic --gtest_filter=-*CUDA
2025-12-04T10:39:49.1103013Z ==85546== 
2025-12-04T10:39:49.4754092Z ==85546== Warning: set address range perms: large range [0x4a9b000, 0x19b68000) (defined)
2025-12-04T10:39:49.4754819Z ==85546== Warning: set address range perms: large range [0x5ab5000, 0x16c2c000) (defined)
2025-12-04T10:39:55.1737681Z ==85546== Warning: set address range perms: large range [0x28aa0000, 0x3ff55000) (noaccess)
2025-12-04T10:39:55.1738389Z ==85546== Warning: set address range perms: large range [0x28c00000, 0x3feb5000) (defined)
2025-12-04T10:39:55.2378176Z ==85546== Warning: set address range perms: large range [0x3feb5000, 0x5127a000) (noaccess)
2025-12-04T10:39:55.2379200Z ==85546== Warning: set address range perms: large range [0x40000000, 0x511c5000) (defined)
2025-12-04T10:39:55.2827413Z ==85546== Warning: set address range perms: large range [0x40fbd000, 0x511c5000) (defined)
2025-12-04T10:39:55.3002152Z ==85546== Warning: set address range perms: large range [0x59c92000, 0x73439000) (defined)
2025-12-04T10:39:55.3003267Z ==85546== Warning: set address range perms: large range [0x5ec47000, 0x73083000) (defined)
2025-12-04T10:39:56.2785836Z ==85546== Warning: set address range perms: large range [0x73439000, 0x89eab000) (defined)
2025-12-04T10:39:56.2786538Z ==85546== Warning: set address range perms: large range [0x735ef000, 0x89e54000) (defined)
2025-12-04T10:39:56.5049060Z ==85546== Warning: set address range perms: large range [0x99d0b000, 0xcc1fd000) (noaccess)
2025-12-04T10:39:56.5049835Z ==85546== Warning: set address range perms: large range [0x99e00000, 0xcc0f2000) (defined)
2025-12-04T10:40:55.6525767Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2025-12-04T10:40:55.6829110Z Note: Google Test filter = -*CUDA
2025-12-04T10:40:55.6904319Z [==========] Running 6 tests from 1 test suite.
2025-12-04T10:40:55.6921386Z [----------] Global test environment set-up.
2025-12-04T10:40:55.6987953Z [----------] 6 tests from BasicTest
2025-12-04T10:40:55.7013191Z [ RUN      ] BasicTest.BasicTestCPU
2025-12-04T10:40:57.6455682Z    1261 ms
2025-12-04T10:40:57.7772147Z    57 ms
2025-12-04T10:40:57.9432180Z    64 ms
2025-12-04T10:41:00.8747756Z [       OK ] BasicTest.BasicTestCPU (5171 ms)
2025-12-04T10:41:01.1632990Z [ RUN      ] BasicTest.BasicTestHalfCPU
2025-12-04T10:41:01.6003317Z    380 ms
2025-12-04T10:41:01.7073011Z    44 ms
2025-12-04T10:41:01.8858296Z    61 ms
2025-12-04T10:41:01.9798863Z [       OK ] BasicTest.BasicTestHalfCPU (806 ms)
2025-12-04T10:41:02.0414111Z [ RUN      ] BasicTest.FactoryMethodsTest
2025-12-04T10:41:02.1062290Z [       OK ] BasicTest.FactoryMethodsTest (40 ms)
2025-12-04T10:41:02.1062797Z [ RUN      ] BasicTest.BasicStdTestCPU
2025-12-04T10:41:02.2259452Z Simple example: called once
2025-12-04T10:41:02.2783918Z Didn't throw, call_once will not attempt again
2025-12-04T10:41:02.3196705Z [       OK ] BasicTest.BasicStdTestCPU (213 ms)
2025-12-04T10:41:02.3197216Z [ RUN      ] BasicTest.TestForBlobResizeCPU
2025-12-04T10:41:02.3415243Z [       OK ] BasicTest.TestForBlobResizeCPU (21 ms)
2025-12-04T10:41:02.3415759Z [ RUN      ] BasicTest.TestForBlobStridesResizeCPU
2025-12-04T10:41:02.3458125Z [       OK ] BasicTest.TestForBlobStridesResizeCPU (4 ms)
2025-12-04T10:41:02.3478297Z [----------] 6 tests from BasicTest (6645 ms total)
2025-12-04T10:41:02.3478589Z 
2025-12-04T10:41:02.3491553Z [----------] Global test environment tear-down
2025-12-04T10:41:02.3516147Z [==========] 6 tests from 1 test suite ran. (6672 ms total)
2025-12-04T10:41:02.3529414Z [  PASSED  ] 6 tests.
2025-12-04T10:41:05.1821163Z ==85546== 
2025-12-04T10:41:05.1827807Z ==85546== HEAP SUMMARY:
2025-12-04T10:41:05.1828186Z ==85546==     in use at exit: 949,216 bytes in 6,493 blocks
2025-12-04T10:41:05.1828706Z ==85546==   total heap usage: 894,816 allocs, 888,323 frees, 223,149,278 bytes allocated
2025-12-04T10:41:05.1829166Z ==85546== 
2025-12-04T10:41:08.3614639Z ==85546== LEAK SUMMARY:
2025-12-04T10:41:08.3615308Z ==85546==    definitely lost: 0 bytes in 0 blocks
2025-12-04T10:41:08.3615687Z ==85546==    indirectly lost: 0 bytes in 0 blocks
2025-12-04T10:41:08.3616083Z ==85546==      possibly lost: 74,176 bytes in 9 blocks
2025-12-04T10:41:08.3616491Z ==85546==    still reachable: 875,040 bytes in 6,484 blocks
2025-12-04T10:41:08.3616889Z ==85546==         suppressed: 0 bytes in 0 blocks
2025-12-04T10:41:08.3617345Z ==85546== Rerun with --leak-check=full to see details of leaked memory
2025-12-04T10:41:08.3617761Z ==85546== 
2025-12-04T10:41:08.3618075Z ==85546== For lists of detected and suppressed errors, rerun with: -s
2025-12-04T10:41:08.3618611Z ==85546== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)
2025-12-04T10:41:08.4664321Z + [[ -x build/bin/tensor_interop_test ]]
2025-12-04T10:41:08.4667010Z + [[ -n '' ]]
2025-12-04T10:41:08.4667249Z + assert_git_not_dirty
2025-12-04T10:41:08.4667549Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T10:41:08.4667964Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T10:41:08.4674014Z ++ git status --porcelain
2025-12-04T10:41:08.4675433Z ++ grep -v '?? third_party'
2025-12-04T10:41:08.7583680Z ++ true
2025-12-04T10:41:08.7584924Z + git_status=
2025-12-04T10:41:08.7585172Z + [[ -n '' ]]
2025-12-04T10:41:08.7585387Z + test_libtorch 1
2025-12-04T10:41:08.7597300Z + local SHARD=1
2025-12-04T10:41:08.7597573Z + [[ nogpu_AVX512 != \s\l\o\w ]]
2025-12-04T10:41:08.7597889Z + echo 'Testing libtorch'
2025-12-04T10:41:08.7598144Z Testing libtorch
2025-12-04T10:41:08.7598944Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:41:08.7610689Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:41:08.7622199Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:41:08.7634191Z + 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
2025-12-04T10:41:08.7646069Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:41:08.7660688Z + 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
2025-12-04T10:41:08.7672315Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:41:08.7683575Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:41:08.7684263Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:41:08.7684726Z + [[ -z 1 ]]
2025-12-04T10:41:08.7684947Z + [[ 1 == \1 ]]
2025-12-04T10:41:08.7685200Z + test_libtorch_api
2025-12-04T10:41:08.7695162Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T10:41:08.7695768Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T10:41:08.8156486Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ...
2025-12-04T10:41:09.1695167Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ...
2025-12-04T10:41:09.2116694Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ...
2025-12-04T10:41:09.3007743Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ...
2025-12-04T10:41:09.3462713Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]]
2025-12-04T10:41:09.3463475Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]]
2025-12-04T10:41:09.3463885Z + OMP_NUM_THREADS=2
2025-12-04T10:41:09.3464259Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist
2025-12-04T10:41:09.3464870Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest'
2025-12-04T10:41:10.9686788Z W1204 10:41:10.968000 85720 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:14.4318324Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T10:41:14.4419556Z Found test times from artifacts
2025-12-04T10:41:14.4816402Z Found test times from artifacts
2025-12-04T10:41:14.4831823Z Running all tests
2025-12-04T10:41:14.4835493Z Running parallel tests on 3 processes
2025-12-04T10:41:14.4836394Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:41:14.4836753Z   Serial tests (0):
2025-12-04T10:41:14.4837036Z   Parallel tests (1):
2025-12-04T10:41:14.4837296Z     cpp/test_api 1/1
2025-12-04T10:41:14.4837552Z Name: excluded (est. time: 0.0min)
2025-12-04T10:41:14.4837857Z   Serial tests (0):
2025-12-04T10:41:14.4838105Z   Parallel tests (0):
2025-12-04T10:41:14.4841243Z Running cpp/test_api 1/1 ... [2025-12-04 10:41:14.483961][5331.956195807]
2025-12-04T10:41:14.4841724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:14.4842398Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:41:14.4843053Z Finished cpp/test_api 1/1 ... [2025-12-04 10:41:14.484126][5331.956364826], took 0.00min
2025-12-04T10:41:15.0413716Z Uploading artifacts took 0.51 seconds
2025-12-04T10:41:16.6777780Z W1204 10:41:16.677000 85730 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:16.6782292Z W1204 10:41:16.677000 85731 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:16.6783561Z W1204 10:41:16.677000 85732 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:17.9600416Z Running cpp/test_api 1/1 ... [2025-12-04 10:41:17.959727][5335.43196098]
2025-12-04T10:41:17.9600998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T10:41:17.9601408Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:41:17.9602062Z Finished cpp/test_api 1/1 ... [2025-12-04 10:41:17.959902][5335.432139969], took 0.00min
2025-12-04T10:41:18.7073272Z Running test batch 'tests to run' cost 4.22 seconds
2025-12-04T10:41:19.3517651Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *android* ]]
2025-12-04T10:41:19.3518115Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *cuda* ]]
2025-12-04T10:41:19.3518469Z + [[ -z 1 ]]
2025-12-04T10:41:19.3518685Z + [[ 1 == \2 ]]
2025-12-04T10:41:19.3518903Z + assert_git_not_dirty
2025-12-04T10:41:19.3519205Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]]
2025-12-04T10:41:19.3519626Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]]
2025-12-04T10:41:19.3524023Z ++ git status --porcelain
2025-12-04T10:41:19.3524595Z ++ grep -v '?? third_party'
2025-12-04T10:41:19.6416304Z ++ true
2025-12-04T10:41:19.6418159Z + git_status=
2025-12-04T10:41:19.6418413Z + [[ -n '' ]]
2025-12-04T10:41:19.6419062Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]]
2025-12-04T10:41:19.6466385Z + sccache_epilogue
2025-12-04T10:41:19.6466718Z + echo '::group::Sccache Compilation Log'
2025-12-04T10:41:19.6467426Z ##[group]Sccache Compilation Log
2025-12-04T10:41:19.6467778Z + echo '=================== sccache compilation log ==================='
2025-12-04T10:41:19.6468234Z =================== sccache compilation log ===================
2025-12-04T10:41:19.6468888Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T10:41:19.6593137Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T10:41:19.6593850Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T10:41:19.6594368Z + sccache --show-stats
2025-12-04T10:41:19.6690292Z Compile requests                    2843
2025-12-04T10:41:19.6690668Z Compile requests executed             65
2025-12-04T10:41:19.6690993Z Cache hits                            22
2025-12-04T10:41:19.6691315Z Cache hits (C/C++)                    22
2025-12-04T10:41:19.6691637Z Cache misses                          43
2025-12-04T10:41:19.6691952Z Cache misses (C/C++)                  43
2025-12-04T10:41:19.6692286Z Cache hits rate                    33.85 %
2025-12-04T10:41:19.6692619Z Cache hits rate (C/C++)            33.85 %
2025-12-04T10:41:19.6692949Z Cache timeouts                         0
2025-12-04T10:41:19.6693257Z Cache read errors                      0
2025-12-04T10:41:19.6693575Z Forced recaches                        0
2025-12-04T10:41:19.6693905Z Cache write errors                     0
2025-12-04T10:41:19.6694212Z Cache errors                           0
2025-12-04T10:41:19.6694528Z Compilations                          43
2025-12-04T10:41:19.6694852Z Compilation failures                   0
2025-12-04T10:41:19.6695179Z Non-cacheable compilations             0
2025-12-04T10:41:19.6695518Z Non-cacheable calls                    2
2025-12-04T10:41:19.6695851Z Non-compilation calls               2776
2025-12-04T10:41:19.6696178Z Unsupported compiler calls             0
2025-12-04T10:41:19.6696519Z Average cache write                0.041 s
2025-12-04T10:41:19.6696970Z Average compiler                  12.821 s
2025-12-04T10:41:19.6697315Z Average cache read hit             0.068 s
2025-12-04T10:41:19.6697648Z Failed distributed compilations        0
2025-12-04T10:41:19.6697892Z 
2025-12-04T10:41:19.6697990Z Non-cacheable reasons:
2025-12-04T10:41:19.6698253Z -E                                     2
2025-12-04T10:41:19.6698464Z 
2025-12-04T10:41:19.6698733Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T10:41:19.6699193Z Version (client)                0.10.0
2025-12-04T10:41:19.6699510Z + sccache --stop-server
2025-12-04T10:41:19.6712238Z Stopping sccache server...
2025-12-04T10:41:19.6719002Z Compile requests                    2843
2025-12-04T10:41:19.6719567Z Compile requests executed             65
2025-12-04T10:41:19.6720209Z Cache hits                            22
2025-12-04T10:41:19.6720531Z Cache hits (C/C++)                    22
2025-12-04T10:41:19.6720839Z Cache misses                          43
2025-12-04T10:41:19.6721171Z Cache misses (C/C++)                  43
2025-12-04T10:41:19.6721502Z Cache hits rate                    33.85 %
2025-12-04T10:41:19.6721890Z Cache hits rate (C/C++)            33.85 %
2025-12-04T10:41:19.6722223Z Cache timeouts                         0
2025-12-04T10:41:19.6722655Z Cache read errors                      0
2025-12-04T10:41:19.6723266Z Forced recaches                        0
2025-12-04T10:41:19.6723862Z Cache write errors                     0
2025-12-04T10:41:19.6724189Z Cache errors                           0
2025-12-04T10:41:19.6724513Z Compilations                          43
2025-12-04T10:41:19.6724830Z Compilation failures                   0
2025-12-04T10:41:19.6725279Z Non-cacheable compilations             0
2025-12-04T10:41:19.6725620Z Non-cacheable calls                    2
2025-12-04T10:41:19.6725943Z Non-compilation calls               2776
2025-12-04T10:41:19.6726288Z Unsupported compiler calls             0
2025-12-04T10:41:19.6726625Z Average cache write                0.041 s
2025-12-04T10:41:19.6726949Z Average compiler                  12.821 s
2025-12-04T10:41:19.6727279Z Average cache read hit             0.068 s
2025-12-04T10:41:19.6727622Z Failed distributed compilations        0
2025-12-04T10:41:19.6727847Z 
2025-12-04T10:41:19.6727954Z Non-cacheable reasons:
2025-12-04T10:41:19.6728203Z -E                                     2
2025-12-04T10:41:19.6728422Z 
2025-12-04T10:41:19.6728751Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T10:41:19.6729226Z Version (client)                0.10.0
2025-12-04T10:41:19.6729540Z + echo ::endgroup::
2025-12-04T10:41:19.6730027Z ##[endgroup]
2025-12-04T10:41:19.6730256Z + cleanup_workspace
2025-12-04T10:41:19.6730769Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T10:41:19.6731586Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T10:41:19.6732227Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T10:41:19.6732703Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T10:41:19.6733257Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T10:41:19.6733858Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T10:41:19.6734347Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T10:41:22.5302848Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T10:41:22.5303352Z with:
2025-12-04T10:41:22.5303612Z   benchmark-results-dir: test/test-reports
2025-12-04T10:41:22.5303943Z   dry-run: false
2025-12-04T10:41:22.5304184Z   schema-version: v3
2025-12-04T10:41:22.5304715Z   github-token: ***
2025-12-04T10:41:22.5304950Z env:
2025-12-04T10:41:22.5305157Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:22.5305442Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:22.5305912Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:22.5306504Z ##[endgroup]
2025-12-04T10:41:22.5333053Z ##[group]Run set -eux
2025-12-04T10:41:22.5333449Z set -eux
2025-12-04T10:41:22.5333817Z 
2025-12-04T10:41:22.5334110Z if [[ -n "" ]]; then
2025-12-04T10:41:22.5334490Z   source ""
2025-12-04T10:41:22.5334839Z fi
2025-12-04T10:41:22.5335428Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T10:41:22.5335917Z 
2025-12-04T10:41:22.5336298Z DEVICE_NAME=""
2025-12-04T10:41:22.5336627Z DEVICE_TYPE=""
2025-12-04T10:41:22.5336958Z 
2025-12-04T10:41:22.5337331Z if command -v nvidia-smi; then
2025-12-04T10:41:22.5337857Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T10:41:22.5338538Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T10:41:22.5339246Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T10:41:22.5339790Z   python3 -mpip install torch==2.7.1
2025-12-04T10:41:22.5340179Z elif command -v rocminfo; then
2025-12-04T10:41:22.5340818Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T10:41:22.5341491Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T10:41:22.5342188Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T10:41:22.5342778Z   # GPU device name coming from rocminfo instead
2025-12-04T10:41:22.5343334Z   DEVICE_NAME=rocm
2025-12-04T10:41:22.5343944Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T10:41:22.5344586Z fi
2025-12-04T10:41:22.5344851Z 
2025-12-04T10:41:22.5345244Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T10:41:22.5345782Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T10:41:22.5540437Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:22.5540969Z env:
2025-12-04T10:41:22.5541289Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:22.5541638Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:22.5542224Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:22.5542851Z ##[endgroup]
2025-12-04T10:41:22.5631118Z + [[ -n '' ]]
2025-12-04T10:41:22.5632604Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T10:41:23.3086307Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T10:41:24.4382533Z Collecting boto3==1.35.33
2025-12-04T10:41:24.4530889Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T10:41:24.7766741Z Collecting psutil==7.0.0
2025-12-04T10:41:24.7798052Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-12-04T10:41:24.8078326Z Collecting pynvml==12.0.0
2025-12-04T10:41:24.8106283Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T10:41:24.8580049Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T10:41:24.8607487Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T10:41:26.0780157Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T10:41:26.0810695Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T10:41:26.2238751Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-12-04T10:41:26.2689847Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T10:41:26.2720824Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T10:41:26.2818495Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-12-04T10:41:26.2824401Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-12-04T10:41:26.4907543Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-12-04T10:41:26.6464994Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T10:41:27.1593906Z   Attempting uninstall: nvidia-ml-py
2025-12-04T10:41:27.1595019Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T10:41:27.1614232Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T10:41:27.1947458Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T10:41:27.2553028Z   Attempting uninstall: psutil
2025-12-04T10:41:27.2553780Z     Found existing installation: psutil 5.9.8
2025-12-04T10:41:27.2628485Z     Uninstalling psutil-5.9.8:
2025-12-04T10:41:27.2650129Z       Successfully uninstalled psutil-5.9.8
2025-12-04T10:41:27.4311772Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-12-04T10:41:27.5357788Z + DEVICE_NAME=
2025-12-04T10:41:27.5358392Z + DEVICE_TYPE=
2025-12-04T10:41:27.5358732Z + command -v nvidia-smi
2025-12-04T10:41:27.5359141Z + command -v rocminfo
2025-12-04T10:41:27.5359548Z + echo DEVICE_NAME=
2025-12-04T10:41:27.5359869Z + echo DEVICE_TYPE=
2025-12-04T10:41:27.5385754Z ##[group]Run set -eux
2025-12-04T10:41:27.5386082Z set -eux
2025-12-04T10:41:27.5386388Z 
2025-12-04T10:41:27.5386771Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T10:41:27.5387263Z   echo "Missing github-token input"
2025-12-04T10:41:27.5387658Z   exit 1
2025-12-04T10:41:27.5388022Z fi
2025-12-04T10:41:27.5395765Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:27.5396212Z env:
2025-12-04T10:41:27.5396529Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:27.5396940Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:27.5397479Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:27.5398081Z   DEVICE_NAME: 
2025-12-04T10:41:27.5398417Z   DEVICE_TYPE: 
2025-12-04T10:41:27.5398987Z   GITHUB_TOKEN: ***
2025-12-04T10:41:27.5399274Z ##[endgroup]
2025-12-04T10:41:27.5427687Z + [[ -z *** ]]
2025-12-04T10:41:27.5483429Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T10:41:27.5483879Z with:
2025-12-04T10:41:27.5484250Z   github-token: ***
2025-12-04T10:41:27.5484472Z env:
2025-12-04T10:41:27.5484685Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:27.5484961Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:27.5485419Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:27.5485935Z   DEVICE_NAME: 
2025-12-04T10:41:27.5486163Z   DEVICE_TYPE: 
2025-12-04T10:41:27.5486391Z ##[endgroup]
2025-12-04T10:41:27.5500547Z ##[group]Run set -eux
2025-12-04T10:41:27.5500803Z set -eux
2025-12-04T10:41:27.5501043Z 
2025-12-04T10:41:27.5501543Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T10:41:27.5507112Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:27.5507499Z env:
2025-12-04T10:41:27.5507726Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:27.5508005Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:27.5508608Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:27.5509134Z   DEVICE_NAME: 
2025-12-04T10:41:27.5509366Z   DEVICE_TYPE: 
2025-12-04T10:41:27.5509738Z   GITHUB_TOKEN: ***
2025-12-04T10:41:27.5509984Z ##[endgroup]
2025-12-04T10:41:27.5533032Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-043608d803c94131d
2025-12-04T10:41:30.6606745Z setting job-id=57118431063
2025-12-04T10:41:30.6607627Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T10:41:30.6726467Z ##[group]Run set -eux
2025-12-04T10:41:30.6726757Z set -eux
2025-12-04T10:41:30.6726977Z 
2025-12-04T10:41:30.6727204Z if [[ -n "" ]]; then
2025-12-04T10:41:30.6727527Z   source ""
2025-12-04T10:41:30.6727761Z fi
2025-12-04T10:41:30.6727978Z 
2025-12-04T10:41:30.6728394Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T10:41:30.6728935Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T10:41:30.6729289Z   --repo "${REPO}" \
2025-12-04T10:41:30.6729604Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T10:41:30.6729950Z   --head-sha "${HEAD_SHA}" \
2025-12-04T10:41:30.6730284Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T10:41:30.6730655Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T10:41:30.6730999Z   --job-id "${JOB_ID}" \
2025-12-04T10:41:30.6731312Z   --job-name "${JOB_NAME}"
2025-12-04T10:41:30.6737185Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:30.6737579Z env:
2025-12-04T10:41:30.6737810Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:30.6738080Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:30.6738562Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:30.6739090Z   DEVICE_NAME: 
2025-12-04T10:41:30.6739315Z   DEVICE_TYPE: 
2025-12-04T10:41:30.6739550Z   SCHEMA_VERSION: v3
2025-12-04T10:41:30.6739803Z   REPO: pytorch/pytorch
2025-12-04T10:41:30.6740198Z   HEAD_BRANCH: refs/heads/main
2025-12-04T10:41:30.6740545Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T10:41:30.6740905Z   WORKFLOW_RUN_ID: 19922826259
2025-12-04T10:41:30.6741190Z   RUN_ATTEMPT: 1
2025-12-04T10:41:30.6741426Z   JOB_ID: 57118431063
2025-12-04T10:41:30.6741935Z   JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T10:41:30.6742530Z ##[endgroup]
2025-12-04T10:41:30.6767264Z + [[ -n '' ]]
2025-12-04T10:41:30.6769774Z + 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 57118431063 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)'
2025-12-04T10:41:30.7108860Z ##[group]Run set -eux
2025-12-04T10:41:30.7109157Z set -eux
2025-12-04T10:41:30.7109397Z 
2025-12-04T10:41:30.7109610Z if [[ -n "" ]]; then
2025-12-04T10:41:30.7109899Z   source ""
2025-12-04T10:41:30.7110147Z fi
2025-12-04T10:41:30.7110350Z 
2025-12-04T10:41:30.7110755Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T10:41:30.7117032Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:30.7117424Z env:
2025-12-04T10:41:30.7117654Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:30.7117934Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:30.7118402Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:30.7119062Z   DEVICE_NAME: 
2025-12-04T10:41:30.7119300Z   DEVICE_TYPE: 
2025-12-04T10:41:30.7119530Z ##[endgroup]
2025-12-04T10:41:30.7144457Z + [[ -n '' ]]
2025-12-04T10:41:30.7145331Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T10:41:30.7582566Z INFO:root:Fail to import torch to get the device name
2025-12-04T10:41:30.7697811Z ##[group]Run set -eux
2025-12-04T10:41:30.7698081Z set -eux
2025-12-04T10:41:30.7698332Z 
2025-12-04T10:41:30.7698703Z # TODO (huydhn): Implement this part
2025-12-04T10:41:30.7699089Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T10:41:30.7705041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:30.7705485Z env:
2025-12-04T10:41:30.7705699Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:30.7705980Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:30.7706464Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:30.7706986Z   DEVICE_NAME: 
2025-12-04T10:41:30.7707203Z   DEVICE_TYPE: 
2025-12-04T10:41:30.7707429Z ##[endgroup]
2025-12-04T10:41:30.7731959Z + echo 'dependencies={}'
2025-12-04T10:41:30.7753648Z ##[group]Run set -eux
2025-12-04T10:41:30.7753958Z set -eux
2025-12-04T10:41:30.7754182Z 
2025-12-04T10:41:30.7754408Z if [[ -n "" ]]; then
2025-12-04T10:41:30.7754693Z   source ""
2025-12-04T10:41:30.7754926Z fi
2025-12-04T10:41:30.7755159Z 
2025-12-04T10:41:30.7755439Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T10:41:30.7755886Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T10:41:30.7756406Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T10:41:30.7756825Z   exit 0
2025-12-04T10:41:30.7757046Z fi
2025-12-04T10:41:30.7757265Z 
2025-12-04T10:41:30.7757535Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T10:41:30.7758053Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:41:30.7758726Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:41:30.7759180Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:41:30.7759554Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:41:30.7759905Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T10:41:30.7760259Z     --dry-run
2025-12-04T10:41:30.7760530Z else
2025-12-04T10:41:30.7760920Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:41:30.7761482Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:41:30.7762044Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:41:30.7762416Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:41:30.7762767Z     --dependencies "${DEPENDENCIES}"
2025-12-04T10:41:30.7763098Z fi
2025-12-04T10:41:30.7768937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:30.7769335Z env:
2025-12-04T10:41:30.7769573Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:30.7769841Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:30.7770316Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:30.7770835Z   DEVICE_NAME: 
2025-12-04T10:41:30.7771064Z   DEVICE_TYPE: 
2025-12-04T10:41:30.7771314Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T10:41:30.7771651Z   DRY_RUN: false
2025-12-04T10:41:30.7773283Z   BENCHMARK_METADATA: {"timestamp": 1764844890, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118431063}
2025-12-04T10:41:30.7775207Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-36-232.ec2.internal"}, "name": "", "type": ""}]
2025-12-04T10:41:30.7775869Z   DEPENDENCIES: {}
2025-12-04T10:41:30.7776114Z ##[endgroup]
2025-12-04T10:41:30.7801241Z + [[ -n '' ]]
2025-12-04T10:41:30.7801685Z + [[ ! -d test/test-reports ]]
2025-12-04T10:41:30.7802311Z + [[ false == \t\r\u\e ]]
2025-12-04T10:41:30.7805452Z + 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": 1764844890, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118431063}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-36-232.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-12-04T10:41:30.9954378Z /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-eaf855a1edcf79cfc39f.json is not a benchmark record, skipping
2025-12-04T10:41:30.9956224Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0040715Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_cuda'}, {'test_file': 'test_transformers'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_autograd'}, {'test_file': 'test_sparse'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'test_dataloader'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_decomp'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_linalg'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_ops'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_overrides'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_nativert'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_export'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_package'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autoload'}, {'test_file': 'nn/attention/test_open_registry'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_as_strided'}, {'test_file': 'test_foreach'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'nn/attention/test_fa4'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_functionalization'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'test_file_check'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_flop_counter'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_openmp'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_module_tracker'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'test_torch'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_typing'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_weak'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'test_utils'}, {'test_file': 'test_pytree'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_stateless'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'test_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_hub'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_type_hints'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_monitor'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_subclass'}, {'test_file': 'test_import_stats'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_futures'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'cpp_extensions/test_libtorch_agnostic'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_jit'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_vulkan'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_shape_ops'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_serialization'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_accelerator'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_reductions'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-a4a482cd23a0623f2038.json is not a benchmark record, skipping
2025-12-04T10:41:31.0120772Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0122552Z /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-3777a19f3f7b6bfe3f97.json is not a benchmark record, skipping
2025-12-04T10:41:31.0124227Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0125920Z /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-03c99cf72b25bf4117a7.json is not a benchmark record, skipping
2025-12-04T10:41:31.0127685Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0131627Z /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-15e6c130f329ce0fccf1.json is not a benchmark record, skipping
2025-12-04T10:41:31.0135662Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0137353Z /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-3d9cfc9e9e4b71b662a5.json is not a benchmark record, skipping
2025-12-04T10:41:31.0139085Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0140795Z /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-3025bc7b6e4c460143d8.json is not a benchmark record, skipping
2025-12-04T10:41:31.0142499Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0144234Z /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-28d7d65ace8c581e3787.json is not a benchmark record, skipping
2025-12-04T10:41:31.0145974Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0147680Z /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-d458b49512422f340a6a.json is not a benchmark record, skipping
2025-12-04T10:41:31.0149366Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0151139Z /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-0678d03864c3283bd715.json is not a benchmark record, skipping
2025-12-04T10:41:31.0152831Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0154537Z /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-1126774b50566c2be2a2.json is not a benchmark record, skipping
2025-12-04T10:41:31.0156278Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0157938Z /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-6e2ef4bde4b7d1dbc932.json is not a benchmark record, skipping
2025-12-04T10:41:31.0159609Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0161325Z /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-2dc06c712ce9bc52e6bd.json is not a benchmark record, skipping
2025-12-04T10:41:31.0163095Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0164815Z /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-1698c60bdbf28fc178ad.json is not a benchmark record, skipping
2025-12-04T10:41:31.0166524Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:41:31.0268113Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T10:41:31.0268541Z cat test/**/*_toprint.log || true
2025-12-04T10:41:31.0274474Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:31.0274852Z env:
2025-12-04T10:41:31.0275079Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:31.0275378Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:31.0275871Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:31.0276394Z   DEVICE_NAME: 
2025-12-04T10:41:31.0276626Z   DEVICE_TYPE: 
2025-12-04T10:41:31.0276863Z ##[endgroup]
2025-12-04T10:41:31.0371179Z W1204 09:30:48.883000 2048 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2025-12-04T10:41:31.0372254Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-0a179009ea65ce1c.xml
2025-12-04T10:41:31.0373240Z ============================= test session starts ==============================
2025-12-04T10:41:31.0374147Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T10:41:31.0374949Z cachedir: .pytest_cache
2025-12-04T10:41:31.0375847Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T10:41:31.0376706Z rootdir: /var/lib/jenkins/workspace
2025-12-04T10:41:31.0377138Z configfile: pytest.ini
2025-12-04T10:41:31.0378274Z 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
2025-12-04T10:41:31.0379701Z collecting ... collected 2 items
2025-12-04T10:41:31.0380425Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T10:41:31.0381062Z Running 0 items in this shard: 
2025-12-04T10:41:31.0381382Z 
2025-12-04T10:41:31.0382528Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-0a179009ea65ce1c.xml -
2025-12-04T10:41:31.0384316Z ============================ no tests ran in 0.01s =============================
2025-12-04T10:41:31.0411247Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T10:41:31.0411628Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T10:41:31.0417500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:31.0417885Z env:
2025-12-04T10:41:31.0418115Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:31.0418397Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:31.0418856Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:31.0419439Z   DEVICE_NAME: 
2025-12-04T10:41:31.0419681Z   DEVICE_TYPE: 
2025-12-04T10:41:31.0419923Z   MONITOR_SCRIPT_PID: 44693
2025-12-04T10:41:31.0420187Z ##[endgroup]
2025-12-04T10:41:31.0444950Z /home/ec2-user/actions-runner/_work/_temp/05f3ddf1-5baf-498a-838d-8fd0f600586c.sh: line 1: kill: (44693) - No such process
2025-12-04T10:41:31.0476584Z ##[error]Process completed with exit code 1.
2025-12-04T10:41:31.0678253Z Prepare all required actions
2025-12-04T10:41:31.0678753Z Getting action download info
2025-12-04T10:41:31.2654014Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T10:41:31.6113723Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T10:41:31.9895627Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T10:41:31.9895987Z with:
2025-12-04T10:41:31.9896308Z   file-suffix: test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T10:41:31.9896721Z   s3-bucket: gha-artifacts
2025-12-04T10:41:31.9896976Z env:
2025-12-04T10:41:31.9897189Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:31.9897458Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:31.9897913Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:31.9898556Z   DEVICE_NAME: 
2025-12-04T10:41:31.9898790Z   DEVICE_TYPE: 
2025-12-04T10:41:31.9899069Z ##[endgroup]
2025-12-04T10:41:31.9923933Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T10:41:31.9924405Z # Remove any previous test jsons if they exist
2025-12-04T10:41:31.9924800Z rm -f test-jsons-*.zip
2025-12-04T10:41:31.9925253Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T10:41:31.9931300Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:31.9931677Z env:
2025-12-04T10:41:31.9931901Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:31.9932180Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:31.9932634Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:31.9933155Z   DEVICE_NAME: 
2025-12-04T10:41:31.9933390Z   DEVICE_TYPE: 
2025-12-04T10:41:31.9933698Z   FILE_SUFFIX: test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T10:41:31.9934089Z ##[endgroup]
2025-12-04T10:41:32.0157073Z   adding: test/test-reports/td_exclusions-eaf855a1edcf79cfc39f.json (deflated 16%)
2025-12-04T10:41:32.0157949Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-bfd8f7dd6dd006db.json (stored 0%)
2025-12-04T10:41:32.0158926Z   adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-5400e8bd83008a99.json (stored 0%)
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2025-12-04T10:41:32.0614610Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T10:41:32.0615111Z # Remove any previous test reports if they exist
2025-12-04T10:41:32.0615503Z rm -f test-reports-*.zip
2025-12-04T10:41:32.0615995Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T10:41:32.0622111Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:32.0622496Z env:
2025-12-04T10:41:32.0622730Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:32.0623006Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:32.0623454Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:32.0623972Z   DEVICE_NAME: 
2025-12-04T10:41:32.0624200Z   DEVICE_TYPE: 
2025-12-04T10:41:32.0624532Z   FILE_SUFFIX: test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T10:41:32.0624913Z ##[endgroup]
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2025-12-04T10:41:32.1182709Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T10:41:32.1183201Z # Remove any previous usage logs if they exist
2025-12-04T10:41:32.1183606Z rm -f logs-*.zip
2025-12-04T10:41:32.1183987Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T10:41:32.1184517Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T10:41:32.1190617Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:32.1191013Z env:
2025-12-04T10:41:32.1191242Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:32.1191513Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:32.1191979Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:32.1192500Z   DEVICE_NAME: 
2025-12-04T10:41:32.1192731Z   DEVICE_TYPE: 
2025-12-04T10:41:32.1193069Z   FILE_SUFFIX: test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T10:41:32.1193463Z ##[endgroup]
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2025-12-04T10:41:32.1571124Z   adding: test/test-reports/test_vulkan_1.1_f314638b83c39dee_.log (deflated 45%)
2025-12-04T10:41:32.1571425Z   adding: test/test-reports/dynamo.test_frame_init_1.1_6450091e1bfe85fb_.log (deflated 47%)
2025-12-04T10:41:32.1571812Z   adding: test/test-reports/inductor.test_codegen_triton_1.1_2a29496b32f883fd_.log (deflated 48%)
2025-12-04T10:41:32.1572193Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_0dafd7831a1c3bce_.log (deflated 49%)
2025-12-04T10:41:32.1572516Z   adding: test/test-reports/dynamo.test_skip_non_tensor_1.1_698540f6ba341d36_.log (deflated 48%)
2025-12-04T10:41:32.1572849Z   adding: test/test-reports/inductor.test_device_assert_1.1_657d7c163e8dc4f4_.log (deflated 48%)
2025-12-04T10:41:32.1573198Z   adding: test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_b7dfead684531518_.log (deflated 48%)
2025-12-04T10:41:32.1573557Z   adding: test/test-reports/dynamo.test_interop_1.1_201ff506b79a3e26_.log (deflated 46%)
2025-12-04T10:41:32.1573839Z   adding: test/test-reports/nn.test_module_hooks_1.1_c36622f126d1b23c_.log (deflated 47%)
2025-12-04T10:41:32.1574190Z   adding: test/test-reports/functorch.test_eager_transforms_1.1_564eefe1cda7537c_.log (deflated 48%)
2025-12-04T10:41:32.1574529Z   adding: test/test-reports/inductor.test_benchmarking_1.1_62d11812850dbc5c_.log (deflated 47%)
2025-12-04T10:41:32.1574856Z   adding: test/test-reports/inductor.test_helion_kernels_1.1_2a56ee30b1f06103_.log (deflated 48%)
2025-12-04T10:41:32.1575232Z   adding: test/test-reports/inductor.test_quantization_1.1_420f17d0f527db65_.log (deflated 5%)
2025-12-04T10:41:32.1575611Z   adding: test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_6ad02bd50f3e0f9d_.log (deflated 49%)
2025-12-04T10:41:32.1575968Z   adding: test/test-reports/inductor.test_compiled_optimizers_1.1_3261f24e67556215_.log (deflated 48%)
2025-12-04T10:41:32.1576387Z   adding: test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_05b38b4b185b59fd_.log (deflated 5%)
2025-12-04T10:41:32.1576764Z   adding: test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_847d939a3169055e_.log (deflated 49%)
2025-12-04T10:41:32.1577110Z   adding: test/test-reports/inductor.test_memory_planning_1.1_0b01d795eb5da5b9_.log (deflated 4%)
2025-12-04T10:41:32.1577431Z   adding: test/test-reports/inductor.test_dependencies_1.1_6b0967c26dcc911d_.log (deflated 5%)
2025-12-04T10:41:32.1577949Z   adding: test/test-reports/profiler.test_memory_profiler_1.1_46b33fb0fe81fedd_.log (deflated 95%)
2025-12-04T10:41:32.1578269Z   adding: test/test-reports/dynamo.test_debug_utils_1.1_e2df58f58f0a1992_.log (deflated 47%)
2025-12-04T10:41:32.1578573Z   adding: test/test-reports/inductor.test_alignment_1.1_985289eb6ff0f734_.log (deflated 5%)
2025-12-04T10:41:32.1578871Z   adding: test/test-reports/inductor.test_mps_basic_1.1_2052d329faf4b284_.log (deflated 5%)
2025-12-04T10:41:32.1579248Z   adding: test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_e4277e6b183e105f_.log (deflated 49%)
2025-12-04T10:41:32.1579550Z   adding: test/test-reports/test_expanded_weights_1.1_eac8ff74e9044606_.log (deflated 48%)
2025-12-04T10:41:32.1579944Z   adding: test/test-reports/higher_order_ops.test_with_effects_1.1_995afa8d00a18bca_.log (deflated 48%)
2025-12-04T10:41:32.1580276Z   adding: test/test-reports/lazy.test_functionalization_1.1_d93d2afef3f40707_.log (deflated 47%)
2025-12-04T10:41:32.1580659Z   adding: test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_7e873b2f3ed694f6_.log (deflated 49%)
2025-12-04T10:41:32.1580941Z   adding: test/test-reports/torch_np.test_random_1.1_5a71599552f57b02_.log (deflated 47%)
2025-12-04T10:41:32.1581256Z   adding: test/test-reports/nn.test_multihead_attention_1.1_aec7000a39062e67_.log (deflated 48%)
2025-12-04T10:41:32.1581605Z   adding: test/test-reports/profiler.test_record_function_1.1_95687072730cde4c_.log (deflated 48%)
2025-12-04T10:41:32.1581914Z   adding: test/test-reports/test_numba_integration_1.1_4ca0cfadf1cce458_.log (deflated 47%)
2025-12-04T10:41:32.1582246Z   adding: test/test-reports/test_compile_benchmark_util_1.1_d363eced03c60af8_.log (deflated 47%)
2025-12-04T10:41:32.1582611Z   adding: test/test-reports/test_set_default_mobile_cpu_allocator_1.1_30a4ff74aabd3b61_.log (deflated 49%)
2025-12-04T10:41:32.1583020Z   adding: test/test-reports/optim.test_optim_1.1_46149b3b1e354fb1_.log (deflated 17%)
2025-12-04T10:41:32.1583354Z   adding: test/test-reports/higher_order_ops.test_print_1.1_34335129356d015c_.log (deflated 48%)
2025-12-04T10:41:32.1583646Z   adding: test/test-reports/test_per_overload_api_1.1_d45d8fe5cca5160c_.log (deflated 46%)
2025-12-04T10:41:32.1584009Z   adding: test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_f33fb024be137696_.log (deflated 49%)
2025-12-04T10:41:32.1584290Z   adding: test/test-reports/test_type_info_1.1_1ecec86d547ad56c_.log (deflated 46%)
2025-12-04T10:41:32.1584691Z   adding: test/test-reports/torch_np.test_ufuncs_basic_1.1_73de910e428aef9a_.log (deflated 48%)
2025-12-04T10:41:32.1585007Z   adding: test/test-reports/lazy.test_step_closures_1.1_3ec9b8b8698790bb_.log (deflated 47%)
2025-12-04T10:41:32.1585291Z   adding: test/test-reports/lazy.test_debug_util_1.1_722af77effaafe61_.log (deflated 47%)
2025-12-04T10:41:32.1585632Z   adding: test/test-reports/functorch.dim.test_getsetitem_1.1_bf905f8b249b8c5f_.log (deflated 48%)
2025-12-04T10:41:32.1585965Z   adding: test/test-reports/profiler.test_cpp_thread_1.1_c6f24e620e7d6e0c_.log (deflated 47%)
2025-12-04T10:41:32.1586348Z   adding: test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_44919b09374bba94_.log (deflated 49%)
2025-12-04T10:41:32.1586716Z   adding: test/test-reports/test_functionalization_of_rng_ops_1.1_2a5550400193de37_.log (deflated 48%)
2025-12-04T10:41:32.1587015Z   adding: test/test-reports/test_fx_reinplace_pass_1.1_c47c75da103f382e_.log (deflated 47%)
2025-12-04T10:41:32.1587394Z   adding: test/test-reports/functorch.test_control_flow_1.1_f08bad9310f4f9a5_.log (deflated 48%)
2025-12-04T10:41:32.1587687Z   adding: test/test-reports/nn.test_lazy_modules_1.1_73eb6521e8d788db_.log (deflated 47%)
2025-12-04T10:41:32.1587947Z   adding: test/test-reports/test_monitor_1.1_6b7c6dd78cebade4_.log (deflated 45%)
2025-12-04T10:41:32.1588249Z   adding: test/test-reports/test_bundled_inputs_1.1_c7ec70d24252181f_.log (deflated 46%)
2025-12-04T10:41:32.1588621Z   adding: test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_5a602b39719cb9aa_.log (deflated 49%)
2025-12-04T10:41:32.1589005Z   adding: test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_ccae51178c40ec5a_.log (deflated 49%)
2025-12-04T10:41:32.1589402Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_42cac1243ac34c6b_.log (deflated 50%)
2025-12-04T10:41:32.1589653Z   adding: test/test-reports/test_masked_1.1_909c080d7fd43181_.log (deflated 45%)
2025-12-04T10:41:32.1589970Z   adding: test/test-reports/test_sympy_utils_1.1_caff9c4308a6b3e8_.log (deflated 46%)
2025-12-04T10:41:32.1590246Z   adding: test/test-reports/test_subclass_1.1_2946e020411dabe3_.log (deflated 45%)
2025-12-04T10:41:32.1590519Z   adding: test/test-reports/test_import_stats_1.1_871062e3df96c15d_.log (deflated 46%)
2025-12-04T10:41:32.1590896Z   adding: test/test-reports/functorch.test_vmap_registrations_1.1_9ab4e7ea5bfc6cbf_.log (deflated 48%)
2025-12-04T10:41:32.1591202Z   adding: test/test-reports/nn.test_parametrization_1.1_6da6d9b4fb997c78_.log (deflated 96%)
2025-12-04T10:41:32.1591470Z   adding: test/test-reports/test_type_hints_1.1_c043f951ed271746_.log (deflated 87%)
2025-12-04T10:41:32.1591761Z   adding: test/test-reports/lazy.test_ts_opinfo_1.1_0c678108a8e9b4f1_.log (deflated 46%)
2025-12-04T10:41:32.1592054Z   adding: test/test-reports/test_dynamic_shapes_1.1_2dec58e43f18c22a_.log (deflated 99%)
2025-12-04T10:41:32.1592353Z   adding: test/test-reports/optim.test_swa_utils_1.1_fd687c67af8a7bed_.log (deflated 16%)
2025-12-04T10:41:32.1592733Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_4f797c1811901fc4_.log (deflated 49%)
2025-12-04T10:41:32.1593031Z   adding: test/test-reports/torch_np.test_indexing_1.1_1a1bfe3989fbb233_.log (deflated 47%)
2025-12-04T10:41:32.1593320Z   adding: test/test-reports/test_schema_check_1.1_857d9dea133846e2_.log (deflated 46%)
2025-12-04T10:41:32.1593746Z   adding: test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_f3b1da2c1a0c853a_.log (deflated 49%)
2025-12-04T10:41:32.1617999Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T10:41:32.1618242Z # Remove any previous debugging artifacts if they exist
2025-12-04T10:41:32.1618365Z rm -f debug-*.zip
2025-12-04T10:41:32.1618471Z if [ -d 'test/debug' ]; then
2025-12-04T10:41:32.1618618Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T10:41:32.1618718Z fi
2025-12-04T10:41:32.1624421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:32.1624602Z env:
2025-12-04T10:41:32.1624727Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:32.1624820Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:32.1625137Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:32.1625228Z   DEVICE_NAME: 
2025-12-04T10:41:32.1625325Z   DEVICE_TYPE: 
2025-12-04T10:41:32.1625524Z   FILE_SUFFIX: test-nogpu_AVX512-1-3-linux.4xlarge_57118431063
2025-12-04T10:41:32.1625613Z ##[endgroup]
2025-12-04T10:41:32.1706862Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:41:32.1706964Z with:
2025-12-04T10:41:32.1707072Z   s3-bucket: gha-artifacts
2025-12-04T10:41:32.1707238Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T10:41:32.1707335Z   retention-days: 14
2025-12-04T10:41:32.1707435Z   if-no-files-found: warn
2025-12-04T10:41:32.1707550Z   path: test-jsons-*.zip
2025-12-04T10:41:32.1707638Z   name: artifact
2025-12-04T10:41:32.1707827Z   region: us-east-1
2025-12-04T10:41:32.1707927Z env:
2025-12-04T10:41:32.1708036Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:32.1708143Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:32.1708448Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:32.1708535Z   DEVICE_NAME: 
2025-12-04T10:41:32.1708641Z   DEVICE_TYPE: 
2025-12-04T10:41:32.1708724Z ##[endgroup]
2025-12-04T10:41:32.8582769Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:41:32.8583263Z With the provided path, there will be 1 file uploaded
2025-12-04T10:41:32.8583734Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T10:41:33.0149356Z Starting upload of test-jsons-test-nogpu_AVX512-1-3-linux.4xlarge_57118431063.zip
2025-12-04T10:41:33.1679934Z Finished upload of test-jsons-test-nogpu_AVX512-1-3-linux.4xlarge_57118431063.zip
2025-12-04T10:41:33.1889070Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:41:33.1889429Z with:
2025-12-04T10:41:33.1889674Z   s3-bucket: gha-artifacts
2025-12-04T10:41:33.1890008Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T10:41:33.1890375Z   retention-days: 14
2025-12-04T10:41:33.1890642Z   if-no-files-found: error
2025-12-04T10:41:33.1890916Z   path: test-reports-*.zip
2025-12-04T10:41:33.1891209Z   name: artifact
2025-12-04T10:41:33.1891444Z   region: us-east-1
2025-12-04T10:41:33.1891674Z env:
2025-12-04T10:41:33.1891889Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:33.1892162Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:33.1892611Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:33.1893135Z   DEVICE_NAME: 
2025-12-04T10:41:33.1893364Z   DEVICE_TYPE: 
2025-12-04T10:41:33.1893581Z ##[endgroup]
2025-12-04T10:41:33.5264504Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:41:33.5265030Z With the provided path, there will be 1 file uploaded
2025-12-04T10:41:33.5265488Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T10:41:33.5314614Z Starting upload of test-reports-test-nogpu_AVX512-1-3-linux.4xlarge_57118431063.zip
2025-12-04T10:41:33.6898230Z Finished upload of test-reports-test-nogpu_AVX512-1-3-linux.4xlarge_57118431063.zip
2025-12-04T10:41:33.7108909Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:41:33.7109250Z with:
2025-12-04T10:41:33.7109574Z   s3-bucket: gha-artifacts
2025-12-04T10:41:33.7109905Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T10:41:33.7110257Z   retention-days: 14
2025-12-04T10:41:33.7110525Z   if-no-files-found: ignore
2025-12-04T10:41:33.7110807Z   path: logs-*.zip
2025-12-04T10:41:33.7111039Z   name: artifact
2025-12-04T10:41:33.7111274Z   region: us-east-1
2025-12-04T10:41:33.7111510Z env:
2025-12-04T10:41:33.7111715Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:33.7111990Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:33.7112458Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:33.7112979Z   DEVICE_NAME: 
2025-12-04T10:41:33.7113211Z   DEVICE_TYPE: 
2025-12-04T10:41:33.7113557Z ##[endgroup]
2025-12-04T10:41:34.0447775Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:41:34.0448265Z With the provided path, there will be 1 file uploaded
2025-12-04T10:41:34.0448732Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact
2025-12-04T10:41:34.0496294Z Starting upload of logs-test-nogpu_AVX512-1-3-linux.4xlarge_57118431063.zip
2025-12-04T10:41:34.2104348Z Finished upload of logs-test-nogpu_AVX512-1-3-linux.4xlarge_57118431063.zip
2025-12-04T10:41:34.2283990Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:41:34.2284343Z with:
2025-12-04T10:41:34.2284567Z   s3-bucket: gha-artifacts
2025-12-04T10:41:34.2284903Z   s3-prefix: pytorch/pytorch/19922826259/1/artifact

2025-12-04T10:41:34.2285270Z   retention-days: 14
2025-12-04T10:41:34.2285530Z   if-no-files-found: ignore
2025-12-04T10:41:34.2285815Z   path: debug-*.zip
2025-12-04T10:41:34.2286055Z   name: artifact
2025-12-04T10:41:34.2286390Z   region: us-east-1
2025-12-04T10:41:34.2286629Z env:
2025-12-04T10:41:34.2286864Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:34.2287144Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:34.2287603Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:34.2288130Z   DEVICE_NAME: 
2025-12-04T10:41:34.2288374Z   DEVICE_TYPE: 
2025-12-04T10:41:34.2288587Z ##[endgroup]
2025-12-04T10:41:34.5595491Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T10:41:34.5767515Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T10:41:34.5768000Z # shellcheck disable=SC2156
2025-12-04T10:41:34.5768707Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T10:41:34.5775039Z shell: /usr/bin/bash -e {0}
2025-12-04T10:41:34.5775343Z env:
2025-12-04T10:41:34.5790176Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:34.5790486Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:34.5790958Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:34.5791484Z   DEVICE_NAME: 
2025-12-04T10:41:34.5791715Z   DEVICE_TYPE: 
2025-12-04T10:41:34.5791940Z ##[endgroup]
2025-12-04T10:41:34.9136250Z Prepare all required actions
2025-12-04T10:41:34.9136950Z Getting action download info
2025-12-04T10:41:35.0795609Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T10:41:35.4718641Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T10:41:35.4719032Z with:
2025-12-04T10:41:35.4719242Z   job_id: 57118431063
2025-12-04T10:41:35.4719773Z   job_name: linux-jammy-cuda12.8-py3.10-gcc11 / test (nogpu_AVX512, 1, 3, linux.4xlarge, rerun_disabled_tests)
2025-12-04T10:41:35.4720371Z   workflow_name: periodic
2025-12-04T10:41:35.4720638Z   workflow_run_id: 19922826259
2025-12-04T10:41:35.4720921Z   workflow_attempt: 1
2025-12-04T10:41:35.4721174Z env:
2025-12-04T10:41:35.4721390Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:35.4721664Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:35.4722232Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:35.4722858Z   DEVICE_NAME: 
2025-12-04T10:41:35.4723095Z   DEVICE_TYPE: 
2025-12-04T10:41:35.4723310Z ##[endgroup]
2025-12-04T10:41:35.4769148Z ##[group]Run actions/setup-python@v6
2025-12-04T10:41:35.4769479Z with:
2025-12-04T10:41:35.4769746Z   python-version: 3.10
2025-12-04T10:41:35.4769997Z   check-latest: false
2025-12-04T10:41:35.4770488Z   token: ***
2025-12-04T10:41:35.4770848Z   update-environment: true
2025-12-04T10:41:35.4771299Z   allow-prereleases: false
2025-12-04T10:41:35.4771706Z   freethreaded: false
2025-12-04T10:41:35.4771955Z env:
2025-12-04T10:41:35.4772170Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:35.4772436Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:35.4772905Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:35.4773447Z   DEVICE_NAME: 
2025-12-04T10:41:35.4773670Z   DEVICE_TYPE: 
2025-12-04T10:41:35.4773902Z ##[endgroup]
2025-12-04T10:41:35.9686185Z ##[group]Installed versions
2025-12-04T10:41:35.9695898Z Version 3.10 was not found in the local cache
2025-12-04T10:41:36.0042649Z (node:133987) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T10:41:36.0043515Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T10:41:36.3391350Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system.
The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json
2025-12-04T10:41:36.3564766Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T10:41:36.3565228Z with:
2025-12-04T10:41:36.3565453Z env:
2025-12-04T10:41:36.3565666Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:36.3566043Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:36.3566520Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:36.3567036Z   DEVICE_NAME: 
2025-12-04T10:41:36.3567279Z   DEVICE_TYPE: 
2025-12-04T10:41:36.3567513Z ##[endgroup]
2025-12-04T10:41:36.3583951Z ##[group]Run set -eou pipefail
2025-12-04T10:41:36.3584282Z set -eou pipefail
2025-12-04T10:41:36.3584562Z 
2025-12-04T10:41:36.3584945Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T10:41:36.3585434Z for _ in $(seq 1440); do
2025-12-04T10:41:36.3585765Z     # Break if no ssh session exists anymore
2025-12-04T10:41:36.3586130Z     if [ "$(who)" = "" ]; then
2025-12-04T10:41:36.3586472Z       break
2025-12-04T10:41:36.3586716Z     fi
2025-12-04T10:41:36.3586946Z     echo "."
2025-12-04T10:41:36.3587193Z     sleep 5
2025-12-04T10:41:36.3587423Z done
2025-12-04T10:41:36.3593197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:36.3593592Z env:
2025-12-04T10:41:36.3593804Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:36.3594083Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:36.3594543Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:36.3595058Z   DEVICE_NAME: 
2025-12-04T10:41:36.3595293Z   DEVICE_TYPE: 
2025-12-04T10:41:36.3595523Z ##[endgroup]
2025-12-04T10:41:36.3620586Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T10:41:36.3709256Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:41:36.3709840Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:41:36.3710285Z # shellcheck disable=SC2046
2025-12-04T10:41:36.3710632Z docker stop $(docker ps -q) || true
2025-12-04T10:41:36.3710981Z # Prune all of the docker images
2025-12-04T10:41:36.3711308Z docker system prune -af
2025-12-04T10:41:36.3717524Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:41:36.3717913Z env:
2025-12-04T10:41:36.3718136Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:41:36.3718399Z   HAS_NVIDIA_GPU: false
2025-12-04T10:41:36.3718860Z   DOCKER_CONTAINER_ID: d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:36.3719484Z   DEVICE_NAME: 
2025-12-04T10:41:36.3719704Z   DEVICE_TYPE: 
2025-12-04T10:41:36.3719931Z ##[endgroup]
2025-12-04T10:41:47.4364181Z d161d4aa8b45
2025-12-04T10:41:48.0688123Z Deleted Containers:
2025-12-04T10:41:48.0688754Z d161d4aa8b45047029d58214def80dfedb571d552ba40103f05be5c4f95fef89
2025-12-04T10:41:48.0689250Z 
2025-12-04T10:42:01.9076279Z Deleted Images:
2025-12-04T10:42:01.9077215Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T10:42:01.9078769Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97
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2025-12-04T10:42:01.9138227Z 
2025-12-04T10:42:01.9257765Z Total reclaimed space: 34.36GB
2025-12-04T10:42:01.9346780Z Post job cleanup.
2025-12-04T10:42:01.9386005Z Post job cleanup.
2025-12-04T10:42:02.0630284Z (node:134143) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T10:42:02.0631127Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T10:42:02.0794711Z Post job cleanup.
2025-12-04T10:42:02.0857432Z Post job cleanup.
2025-12-04T10:42:02.1893778Z [command]/usr/bin/git version
2025-12-04T10:42:02.2136915Z git version 2.50.1
2025-12-04T10:42:02.2171017Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/d11eaf11-ff26-4ee5-9152-e5ec064d7a54/.gitconfig'
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2025-12-04T10:42:04.0017051Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0039861Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0062539Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0086154Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0108966Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0131885Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0155147Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0177384Z [command]/usr/bin/git config --file /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:42:04.0280336Z A job completed hook has been configured by the self-hosted runner administrator
2025-12-04T10:42:04.0296302Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-12-04T10:42:04.0301612Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:42:04.0302008Z ##[endgroup]
2025-12-04T10:42:14.4011543Z Cleaning up orphan processes